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EEA Report No 12/2012<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012An <strong>in</strong>dicator-based report


Cover design: EEACover photos © iStockphotoLayout: EEA/Henriette NilssonLegal noticeThe contents of this publication do not necessarily reflect the official op<strong>in</strong>ions of the <strong>Europe</strong>an Commissionor other <strong>in</strong>stitutions of the <strong>Europe</strong>an Union. Neither the <strong>Europe</strong>an Environment Agency nor any person orcompany act<strong>in</strong>g on behalf of the Agency is responsible for the use that may be made of the <strong>in</strong>formationconta<strong>in</strong>ed <strong>in</strong> this report.All rights reservedNo part of this publication may be reproduced <strong>in</strong> any form or by any means electronic or mechanical,<strong>in</strong>clud<strong>in</strong>g photocopy<strong>in</strong>g, record<strong>in</strong>g or by any <strong>in</strong>formation storage retrieval system, without a priorpermission <strong>in</strong> writ<strong>in</strong>g. For permission, translation or reproduction rights please contact EEA (address<strong>in</strong>formation below).Information about the <strong>Europe</strong>an Union is available on the Internet. It can be accessed through the Europaserver (www.europa.eu).Luxembourg: Office for Official Publications of the <strong>Europe</strong>an Union, 2012ISBN 978-92-9213-346-7ISSN 1725-9177doi:10.2800/66071© EEA, Copenhagen, 2012Environmental productionThis publication is pr<strong>in</strong>ted accord<strong>in</strong>g to high environmental st<strong>and</strong>ards.Pr<strong>in</strong>ted by Rosendahls-Schultz Grafisk— Environmental Management Certificate: DS/EN ISO 14001: 2004— Quality Certificate: DS/EN ISO 9001: 2008— EMAS Registration. Licence no. DK – 000235— Ecolabell<strong>in</strong>g with the Nordic Swan, licence no. 541 176— FSC Certificate – licence code FSC C0688122PaperRePr<strong>in</strong>t — FSC Certified 90 gsm.CyclusOffset 250 gsm.Both paper qualities are recycled paper <strong>and</strong> have obta<strong>in</strong>ed the ecolabel Nordic Swan.Pr<strong>in</strong>ted <strong>in</strong> DenmarkREG.NO. DK-000244<strong>Europe</strong>an Environment AgencyKongens Nytorv 61050 Copenhagen KDenmarkTel.: +45 33 36 71 00Fax: +45 33 36 71 99Web: eea.europa.euEnquiries: eea.europa.eu/enquiries


ContentsContentsAcknowledgements................................................................................................... 11Executive summary................................................................................................... 15Technical summary................................................................................................... 191 Introduction......................................................................................................... 301.1 Purpose <strong>and</strong> outl<strong>in</strong>e..........................................................................................301.2 Scope <strong>and</strong> l<strong>in</strong>k to other EU <strong>and</strong> EEA activities <strong>and</strong> products ...................................321.3 Background <strong>and</strong> policy <strong>fr</strong>amework.......................................................................331.4 <strong>Climate</strong> <strong>change</strong>, impact, <strong>vulnerability</strong> <strong>and</strong> adaptation <strong>in</strong>dicators .............................351.5 Emissions <strong>and</strong> socio‐economic scenarios for projections ........................................381.6 Uncerta<strong>in</strong>ty <strong>in</strong> observations <strong>and</strong> projections..........................................................421.7 Def<strong>in</strong>ition of <strong>vulnerability</strong> <strong>and</strong> risk.......................................................................452 Changes <strong>in</strong> the climate system............................................................................. 492.1 Human <strong>in</strong>fluence on the climate system...............................................................492.2 Key climate variables........................................................................................542.3 Cryosphere......................................................................................................733 <strong>Climate</strong> <strong>impacts</strong> on environmental systems.......................................................... 893.1 Oceans <strong>and</strong> mar<strong>in</strong>e environment.........................................................................893.2 Coastal zones.................................................................................................1013.3 Freshwater quantity <strong>and</strong> quality........................................................................1123.4 Terrestrial ecosystems <strong>and</strong> biodiversity..............................................................1273.5 Soil...............................................................................................................1464 <strong>Climate</strong> <strong>impacts</strong> on socio‐economic systems <strong>and</strong> health .................................... 1584.1 Agriculture.....................................................................................................1584.2 Forests <strong>and</strong> forestry........................................................................................1724.3 Fisheries <strong>and</strong> aquaculture................................................................................1814.4 Human health................................................................................................1834.5 Energy..........................................................................................................2014.6 Transport services <strong>and</strong> <strong>in</strong><strong>fr</strong>astructure.................................................................2054.7 Tourism.........................................................................................................2095 Vulnerability to climate <strong>change</strong>.......................................................................... 2135.1 Introduction...................................................................................................2135.2 River flood<strong>in</strong>g, water scarcity <strong>and</strong> droughts........................................................2135.3 Integrated assessment of <strong>vulnerability</strong> to climate <strong>change</strong> ....................................2165.4 Vulnerability of cities <strong>and</strong> urban areas...............................................................2225.5 Damage costs................................................................................................228<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 20123


ContentsList of mapsMap TS.1 Key observed <strong>and</strong> projected climate <strong>change</strong> <strong>and</strong> <strong>impacts</strong> for the ma<strong>in</strong>regions <strong>in</strong> <strong>Europe</strong>......................................................................................... 27Map 2.1 Trend <strong>in</strong> annual temperature across <strong>Europe</strong> (1960–2012)...................................60Map 2.2Projected <strong>change</strong>s <strong>in</strong> annual, summer <strong>and</strong> w<strong>in</strong>ter temperature across <strong>Europe</strong>.......61Map 2.3 Trends <strong>in</strong> warm days <strong>and</strong> cool nights across <strong>Europe</strong> (1960–2012)........................63Map 2.4Projections of extreme high temperatures........................................................65Map 2.5 Trends <strong>in</strong> annual precipitation across <strong>Europe</strong> (1960–2012).................................66Map 2.6 Projected <strong>change</strong>s <strong>in</strong> annual (left) <strong>and</strong> summer (right) precipitation (%)between 1961–1990 <strong>and</strong> 2071–2100...............................................................67Map 2.7 Trends <strong>in</strong> consecutive wet days <strong>and</strong> consecutive dry days (1960–2012) ...............69Map 2.8Projected <strong>change</strong>s <strong>in</strong> 20-year maximum precipitation <strong>in</strong> summer <strong>and</strong> w<strong>in</strong>ter.........70Map 2.9 Trends <strong>in</strong> the extreme w<strong>in</strong>d speeds <strong>in</strong> the period 1871–2008 based on reanalysis.... 71Map 2.10 Projected <strong>change</strong>s <strong>in</strong> extreme w<strong>in</strong>d speed based on GCM <strong>and</strong> RCM ensembles.......72Map 2.11 Projected <strong>change</strong>s <strong>in</strong> annual snowfall days.......................................................77Map 3.1 Location of Argo floats <strong>in</strong> 2012.......................................................................94Map 3.2Map 3.3Map 3.4Mean annual sea surface temperature trend (<strong>in</strong> °C per year) <strong>in</strong><strong>Europe</strong>an seas (1987–2011)...........................................................................96Trend <strong>in</strong> absolute sea level across <strong>Europe</strong> based on satellite measurements(1992–2011)..............................................................................................104Trend <strong>in</strong> relative sea level at selected <strong>Europe</strong>an tide gauge stations(1970–2010)..............................................................................................105Map 3.5 Trends <strong>in</strong> monthly stream flow for the period 1962–2004.................................115Map 3.6 Projected <strong>change</strong> <strong>in</strong> average annual <strong>and</strong> seasonal river flow .............................116Map 3.7 Occurrence of major floods <strong>in</strong> <strong>Europe</strong> (1998–2009).........................................119Map 3.8Map 3.9Projected <strong>change</strong> <strong>in</strong> river floods with a return period of 100 years.....................119Water scarcity <strong>and</strong> drought events <strong>in</strong> <strong>Europe</strong> dur<strong>in</strong>g the last decade..................121Map 3.10 Projected <strong>change</strong> <strong>in</strong> m<strong>in</strong>imum river flow with return period of 20 years..............122Map 3.11 Trends <strong>in</strong> spr<strong>in</strong>g phenology <strong>in</strong> <strong>Europe</strong> (1971–2000).........................................132Map 3.12 Trend <strong>in</strong> egg-lay<strong>in</strong>g dates of the Pied flycatcher across <strong>Europe</strong> (1980–2004).......134Map 3.13 Expected average percentage of stable area of 856 plant species fortwo different climate scenarios by 2100.........................................................136Map 3.14 Actual <strong>and</strong> potential future alien plant <strong>in</strong>vasion hotspots (2081–2090)under two emissions scenarios......................................................................137Map 3.15 <strong>Europe</strong>an variations <strong>in</strong> the temporal trend of bird <strong>and</strong> butterflycommunity temperature <strong>in</strong>dex......................................................................140Map 3.16 Projected impact of climate <strong>change</strong> on the potential distribution o<strong>fr</strong>eptiles <strong>and</strong> amphibians <strong>in</strong> 2050...................................................................141Map 3.17 Projected <strong>change</strong>s <strong>in</strong> the climate niche space of the Small Tortoise shell.............142Map 3.18 Changes <strong>in</strong> mammalian species richness by 2100............................................143Map 3.19 Projected spatial mismatches of the Portuguese Dappled White butterfly<strong>and</strong> its host plants......................................................................................145Map 3.20 Variations <strong>in</strong> topsoil organic carbon content across <strong>Europe</strong>................................149Map 3.21 Estimated soil erosion by water <strong>in</strong> <strong>Europe</strong>......................................................152Map 3.22 Estimated number of days for w<strong>in</strong>d erosion....................................................153Map 3.23 Global surface soil moisture content based on remote sens<strong>in</strong>g data...................155Map 3.24 Areas affected by three drought events <strong>and</strong> the effect of these eventson ecosystem productivity........................................................................... 157<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 20127


ContentsMap 4.1 Change <strong>in</strong> the number of <strong>fr</strong>ost-<strong>fr</strong>ee days per year dur<strong>in</strong>g the period 1975–2010.... 161Map 4.2 Change of flower<strong>in</strong>g date for w<strong>in</strong>ter wheat (1975–2010).................................. 163Map 4.3 Projected <strong>change</strong> <strong>in</strong> dates of flower<strong>in</strong>g <strong>and</strong> maturation for w<strong>in</strong>ter wheat............. 164Map 4.4 Projected <strong>change</strong>s <strong>in</strong> effective solar radiation <strong>fr</strong>om two climate models............... 166Map 4.5 Projected <strong>change</strong>s <strong>in</strong> water-limited crop yield................................................. 167Map 4.6Simulated <strong>change</strong> <strong>in</strong> water-limited wheat production for 2030 based ontwo climate models..................................................................................... 168Map 4.7 Rate of <strong>change</strong> of the meteorological water balance (1975–2010)..................... 170Map 4.8Projected <strong>change</strong> <strong>in</strong> water availability for irrigation <strong>in</strong> the Mediterraneanregion by 2071–2100.................................................................................. 171Map 4.9 State <strong>and</strong> trend of fire danger for the period 1981–2010.................................. 179Map 4.10 Projected <strong>change</strong>s <strong>in</strong> fire danger................................................................... 180Map 4.11 Number of people affected by flood<strong>in</strong>g per million population <strong>in</strong> theWHO <strong>Europe</strong>an Region (annual average 2000–2011)....................................... 189Map 4.12 Modelled <strong>change</strong> <strong>in</strong> tropospheric ozone concentrations over <strong>Europe</strong>,1958–2001 <strong>and</strong> 1978–2001......................................................................... 193Map 4.13 <strong>Europe</strong>an distribution of Borrelia burgdorferi <strong>in</strong> quest<strong>in</strong>g I. ric<strong>in</strong>us ticks.............. 196Map 4.14 Change <strong>in</strong> distribution of Aedes albopictus <strong>in</strong> <strong>Europe</strong> between 2008 <strong>and</strong> 2011..... 197Map 4.15 Climatic suitability for the mosquitos Aedes albopictus <strong>and</strong> Aedes aegypti<strong>in</strong> <strong>Europe</strong>................................................................................................... 198Map 4.16 Trend <strong>in</strong> heat<strong>in</strong>g degree days <strong>in</strong> the EU-27 (1980–2009).................................. 203Map 4.17 Projected <strong>change</strong>s <strong>in</strong> the tourism climatic <strong>in</strong>dex for all seasons......................... 211Map 5.1Estimated number of people <strong>and</strong> gross value affected by 100-yearflood events <strong>in</strong> the 'Economy First' scenario for the 2050s................................ 214Map 5.2 Annual water stress for present conditions <strong>and</strong> projections for two scenarios...... 215Map 5.3 Potential physical, social <strong>and</strong> cultural impact of climate <strong>change</strong>......................... 218Map 5.4 Potential environmental <strong>and</strong> economic impact of climate <strong>change</strong>....................... 219Map 5.5 Potential aggregate impact, adaptive capacity <strong>and</strong> <strong>vulnerability</strong>......................... 221Map 5.6 Elderly population <strong>in</strong> cities............................................................................ 225Map 5.7 Factors determ<strong>in</strong><strong>in</strong>g <strong>vulnerability</strong> to heat waves.............................................. 226Map 5.8 Factors determ<strong>in</strong><strong>in</strong>g <strong>vulnerability</strong> to urban flood<strong>in</strong>g.......................................... 2278 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


ContentsList of tablesTable TS.1 Observed <strong>and</strong> projected climate <strong>change</strong> <strong>and</strong> <strong>impacts</strong> on environmental<strong>and</strong> socio‐economic systems <strong>and</strong> human health................................................19Table TS.2 Key observed (O) <strong>and</strong> projected (P) climate <strong>change</strong> <strong>and</strong> <strong>impacts</strong> forthe ma<strong>in</strong> regions <strong>in</strong> <strong>Europe</strong>............................................................................28Table 1.1 Type of <strong>in</strong>dicator <strong>and</strong> ma<strong>in</strong> purpose.................................................................35Table 1.2 Changes <strong>in</strong> <strong>in</strong>dicators 2008–2012....................................................................36Table 1.3 Emissions scenarios <strong>and</strong> climate models used <strong>in</strong> projections...............................39Table 3.1 Contributions to the sea-level budget s<strong>in</strong>ce 1972............................................106Table 3.2 Habitats <strong>and</strong> species groups negatively affected by climate <strong>change</strong> <strong>in</strong>at least one EU Member State.......................................................................130Table 4.1 Impacts <strong>and</strong> consequences of climate <strong>change</strong> on forest growth<strong>and</strong> forest conditions...................................................................................175Table 4.2 Number of people killed due to extreme weather events <strong>and</strong> wildfireby <strong>Europe</strong>an region (1980–2011)..................................................................186Table 4.3 Selection of meteorological parameters that might <strong>in</strong>crease underfuture climate <strong>change</strong> <strong>and</strong> their impact on ozone levels....................................194Table 4.4 Overview of studies on future electricity dem<strong>and</strong> due to climate <strong>change</strong>.............204Table 4.5 Overview of climate <strong>change</strong> <strong>impacts</strong> on transport <strong>in</strong><strong>fr</strong>astructure........................206Table 5.1 Coverage of <strong>Europe</strong>an-wide damage cost studies by sector ..............................233Table 6.1 Essential <strong>Climate</strong> Variables that are both currently feasiblefor global implementation <strong>and</strong> have a high impact on UNFCCC requirements.......243Table 6.2 Essential <strong>Climate</strong> Variables for which satellite observations makea significant contribution..............................................................................243Table 7.1 Abbreviations <strong>and</strong> acronyms (except research projects)...................................246Table 7.2 Acronyms of research projects......................................................................251<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 20129


ContentsList of boxesBox 1.1 The IPCC Fifth Assessment Report...................................................................33Box 1.2 The IPCC Special Report on Emissions Scenarios (SRES)....................................38Box 2.1 General circulation models (GCMs) <strong>and</strong> regional climate models (RCMs)...............52Box 2.2 <strong>Climate</strong> reanalyses........................................................................................58Box 2.3 A decade of <strong>Europe</strong>an temperature extremes....................................................64Box 2.4 Def<strong>in</strong>ition of precipitation extremes.................................................................68Box 2.5 Lowl<strong>and</strong> perma<strong>fr</strong>ost <strong>in</strong> sub-arctic palsa mires....................................................85Box 3.1 Mak<strong>in</strong>g the right observations ........................................................................94Box 3.2 Alien plant species <strong>and</strong> climate <strong>change</strong> — new ranges? ...................................137Box 3.3 Alien animal species <strong>and</strong> climate <strong>change</strong> — new establishments?.......................140Box 3.4 The <strong>impacts</strong> of climate <strong>change</strong> on soil biota <strong>and</strong> biodiversity.............................150Box 4.1 Projected <strong>change</strong>s <strong>in</strong> forest composition <strong>and</strong> their economic <strong>impacts</strong>..................176Box 4.2 Case study — UK <strong>Climate</strong> Change Risk Assessment for the energy sector...........205Box 5.1 The cloudburst <strong>in</strong> Copenhagen on 2 July 2011................................................223Box 5.2 Water scarcity <strong>in</strong> Ankara..............................................................................22410 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


AcknowledgementsAcknowledgementsReport coord<strong>in</strong>ationHans-Mart<strong>in</strong> Füssel (<strong>Europe</strong>an Environment Agency(EEA)) under the guidance of André Jol (EEA) <strong>and</strong>with the support of Mikael Hildén (<strong>Europe</strong>an TopicCentre on <strong>Climate</strong> Change <strong>impacts</strong>, <strong>vulnerability</strong><strong>and</strong> Adaptation (ETC/CCA)).Authors <strong>and</strong> contributors bychapter/sectionChapter 1: IntroductionAuthors:Hans-Mart<strong>in</strong> Füssel, André Jol (EEA).Contributors:Stephane Isoard, John van Aardenne, Birgit Georgi(EEA); Mikael Hildén, Stefan Fronzek, SergioCastellari (ETC/CCA); Stefan Greiv<strong>in</strong>g (TechnicalUniversity of Dortmund (TU Dortmund), Germany).Chapter 2: Changes <strong>in</strong> the climate systemSection 2.1: Human <strong>in</strong>fluence on the climate systemAuthor:Hans-Mart<strong>in</strong> Füssel (EEA).Contributors:Blaz Kurnik (EEA); Stefan Fronzek (ETC/CCA).Section 2.2: Key climate variablesAuthors:Blaz Kurnik (EEA); Deborah Hemm<strong>in</strong>g, AndrewHartley (ETC/CCA).Contributors:Hans-Mart<strong>in</strong> Füssel (EEA); Robert Dunn, JohnKennedy (Met Office Hadley Centre (MOHC),United K<strong>in</strong>gdom); Gregor Leckebusch (University ofBirm<strong>in</strong>gham, United K<strong>in</strong>gdom).Section 2.3: CryosphereAuthor:Mikael Hildén (ETC/CCA).Contributors:Hans-Mart<strong>in</strong> Füssel (EEA); Stefan Fronzek, EskoKuusisto, Jeff Ridley, Riccardo Valent<strong>in</strong>i (ETC/CCA);Giovanni Copp<strong>in</strong>i (<strong>Europe</strong>an Topic Centre on Inl<strong>and</strong>,Coastal <strong>and</strong> Mar<strong>in</strong>e waters (ETC/ICM)); ThomasLavergne, Mari Anne Killie, Lars Anders Breivik(Norwegian Meteorological Institute (METNO),Norway); Stefan Kern (Centre for Mar<strong>in</strong>e <strong>and</strong>Atmospheric Sciences (ZMAW), Germany).Chapter 3: <strong>Climate</strong> <strong>impacts</strong> on environmentalsystemsSection 3.1: Oceans <strong>and</strong> mar<strong>in</strong>e environmentAuthor:Tr<strong>in</strong>e Christiansen (EEA).Contributors:Giovanni Copp<strong>in</strong>i, David Johns (ETC/ICM);Marcello Vichi (ETC/CCA); Simona Mas<strong>in</strong>a,Pierluigi Di Pietro (Centro Euro-Mediterraneosui Cambiamenti Climatici (CMCC) <strong>and</strong> IstitutoNazionale di Geofisica e Vulcanologia (INGV),Italy); Pierre Yves Le Traon, Kar<strong>in</strong>a Von Schuckmann(Institut <strong>fr</strong>ançais de recherche pour l'exploitation dela mer (IFREMER), France); Peter Lowe (Bundesamtfür Seeschifffahrt und Hydrographie (BSH),Germany); Mart<strong>in</strong> Edwards (Sir Alister HardyFoundation for Ocean Science (SAHFOS), UnitedK<strong>in</strong>gdom).Section 3.2: Coastal zonesAuthors:Jason Lowe (ETC/CCA); Andrus Me<strong>in</strong>er (EEA).Contributors:Stéphane Isoard, Hans-Mart<strong>in</strong> Füssel (EEA); AnnePardaens, Giovanni Copp<strong>in</strong>i (ETC/ICM); Michaël<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201211


AcknowledgementsAbla<strong>in</strong>, Gilles Larnicol, Isabelle Poujol (CollecteLocalisation Satellites (CLS), France).Section 3.3: Freshwater quantity <strong>and</strong> qualityAuthors:Peter Kristensen, Wouter Vanneuville (EEA).Contributors:Rob Coll<strong>in</strong>s (EEA); Kari Austnes (ETC/ICM);Luc Feyen (Jo<strong>in</strong>t Research Centre, Institute forEnvironment <strong>and</strong> Susta<strong>in</strong>ability (JRC/IES)).Section 3.4: Terrestrial ecosystems <strong>and</strong> biodiversityAuthors:Andreas Marx (ETC/CCA).Contributors:Franz Essl, Wolfgang Rabitsch (<strong>Europe</strong>an TopicCentre on Biodiversity (ETC/BD)); Ingolf Kühn, JosefSettele, Oliver Schweiger (ETC/CCA); Hans-Mart<strong>in</strong>Füssel, Frederick Schutyser (EEA).Section 3.5: SoilAuthors:Arwyn Jones, Michael Cherlet (Jo<strong>in</strong>t ResearchCentre, Institute for Environment <strong>and</strong> Susta<strong>in</strong>ability(JRC/IES)); Geertrui Louwagie (EEA).Contributors:Francesca Bampa, Daniele Brecevic, Ciro Gardi,Rol<strong>and</strong> Hiederer, Eva Ivits, Luca Montanarella,Panos Panagos (JRC/IES); Markus Erhard (EEA);Maria Holmberg (ETC/CCA).Chapter 4: <strong>Climate</strong> <strong>impacts</strong> on socio‐economicsystems <strong>and</strong> healthSection 4.1: AgricultureAuthor:Jørgen E. Olesen (ETC/CCA).Contributor:Stefan Niemeyer (JRC/IES); Ana Iglesias (ETC/CCA);Hans-Mart<strong>in</strong> Füssel (EEA).Section 4.2: Forests <strong>and</strong> forestryAuthors:Andrea Camia, Jesus San-Miguel (JRC/IES);Annemarie Bastrup-Birk (EEA).Contributor:Hans-Mart<strong>in</strong> Füssel (EEA).Section 4.3: Fisheries <strong>and</strong> aquacultureAuthor:Tr<strong>in</strong>e Christiansen (EEA).Contributor:David Johns (ETC/ICM).Section 4.4: Human healthAuthors:Dorota Jaros<strong>in</strong>ska (EEA); Tanja Wolf (World HealthOrganization Regional Office for <strong>Europe</strong> (WHO/<strong>Europe</strong>)); Jonathan Suk, Bertr<strong>and</strong> Sudre, JanSemenza (<strong>Europe</strong>an Centre for Disease Prevention<strong>and</strong> Control (ECDC)).Contributors:John van Aardenne, Valent<strong>in</strong> Foltescu, Hans-Mart<strong>in</strong>Füssel (EEA).Section 4.5: EnergyAuthors:David Owa<strong>in</strong> Clubb, Hans-Mart<strong>in</strong> Füssel (EEA).Contributor:Anca-Diana Barbu (EEA).Section 4.6: TransportAuthors:Al<strong>fr</strong>edo Sanchez (EEA); Claus Doll (FraunhoferInstitute for Systems <strong>and</strong> Innovation Research (ISI),Germany); Christophe Heyndrickx (Gent University,Belgium); Marko Nokkala, Pekka Leviäkangas (VTTTechnical Research Centre of F<strong>in</strong>l<strong>and</strong>, F<strong>in</strong>l<strong>and</strong>).Contributor:Hans-Mart<strong>in</strong> Füssel (EEA)12 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


AcknowledgementsSection 4.7: TourismAuthors:Stéphane Isoard, Hans-Mart<strong>in</strong> Füssel (EEA).Contributors:Johannes Lückenkötter, Christian L<strong>in</strong>dner(TU Dortmund); Ove Langel<strong>and</strong>, Bjørg Langset(Norwegian Institute for Urban <strong>and</strong> RegionalResearch (NIBR), Norway); Emmanouil Tranos(Free University of Amsterdam, the Netherl<strong>and</strong>s);Sim<strong>in</strong> Davoudi (Newcastle University, UnitedK<strong>in</strong>gdom).Chapter 5: Vulnerability to climate <strong>change</strong>Section 5.1: IntroductionAuthor:Stéphane Isoard (EEA).Section 5.2: River flood<strong>in</strong>g, water scarcity <strong>and</strong>droughtsAuthors:Wouter Vanneuville (EEA).Section 5.3: Integrated assessment of climate <strong>change</strong><strong>vulnerability</strong>Authors:Johannes Lückenkötter, Stefan Greiv<strong>in</strong>g, ChristianL<strong>in</strong>dner (TU Dortmund).Contributor:Stéphane Isoard (EEA).Section 5.4: Vulnerability of cities <strong>and</strong> urban areasAuthor:Birgit Georgi (EEA).Section 5.5: Damage costs related to climate <strong>change</strong>Authors:Petra Löw (Munich RE, Germany); Paul Watkiss(Paul Watkiss Associates (PWA), United K<strong>in</strong>gdom).Contributor:Stéphane Isoard (EEA).Chapter 6: Indicator <strong>and</strong> data needsAuthor: André Jol (EEA).Chapter 7: Abbreviations <strong>and</strong> acronymsAuthors:Mikael Hildén (ETC/CCA); Hans-Mart<strong>in</strong> Füssel(EEA).Technical supportCarsten Iversen, Henriette Nilsson Pedersen (EEA);Andreas Marx, Greta Jäckel (ETC/CCA).Members of the Advisory GroupJacques Delsalle (<strong>Europe</strong>an Commission, DG ENV);Peter Pärt (<strong>Europe</strong>an Commission, JRC); FrankRaes (<strong>Europe</strong>an Commission, JRC); Matteo R<strong>in</strong>i(<strong>Europe</strong>an Commission, DG CLIMA); Ana Ruiz(<strong>Europe</strong>an Commission, DG MARE); Wol<strong>fr</strong>amSchrimpf (<strong>Europe</strong>an Commission, DG RTD); StefanGreiv<strong>in</strong>g (ESPON <strong>Climate</strong>; TU Dortmund); Erl<strong>and</strong>Källén (<strong>Europe</strong>an Centre for Medium-RangeWeather Forecasts (ECMWF)); Sari Kovats (IPCCWork<strong>in</strong>g Group II; London School Of Hygiene <strong>and</strong>Tropical Medic<strong>in</strong>e (LSHTM), United K<strong>in</strong>gdom);Willem Ligtvoet (EPA Interest Group on <strong>Climate</strong><strong>and</strong> Adaptation; Netherl<strong>and</strong>s EnvironmentalAssessment Agency (PBL), the Netherl<strong>and</strong>s);Nicholas Macgregor (<strong>Climate</strong> Change Groupof the <strong>Europe</strong>an Network of Heads of NatureConservation Agencies; Natural Engl<strong>and</strong>, UnitedK<strong>in</strong>gdom); Bett<strong>in</strong>a Menne (WHO/<strong>Europe</strong>); SteveNoyes (EUMETNET); Mart<strong>in</strong> Parry (Programme ofResearch on <strong>Climate</strong> Change Vulnerability, Impacts<strong>and</strong> Adaptation (PROVIA); University CollegeLondon (UCL), United K<strong>in</strong>gdom); Nadia P<strong>in</strong>ardi(EEA Scientific Committee; University of Bologna,Italy); John P<strong>in</strong>negar (Mar<strong>in</strong>e <strong>Climate</strong> ChangeImpacts Partnership (MCCIP), United K<strong>in</strong>gdom);Jan Plesnik (ETC/BD; Czech Agency for NatureConservation <strong>and</strong> L<strong>and</strong>scape Protection, CzechRepublic); Lars Otto Reiersen (Arctic Monitor<strong>in</strong>g<strong>and</strong> Assessment Programme (AMAP), Norway);Jan Semenza (ECDC); Thomas Voigt (FederalEnvironment Agency (UBA), Germany); PeterWadhams (EEA Scientific Committee; Universityof Cambridge, United K<strong>in</strong>gdom); Marc Zebisch(<strong>Europe</strong>an Academy of Bozen/Bolzano (EURAC),Italy).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201213


AcknowledgementsComments <strong>fr</strong>om the <strong>Europe</strong>anCommission <strong>and</strong> Executive AgenciesJoan Canton (DG CLIMA); Myriam Driessen(DG AGRI); Alex<strong>and</strong>er Ferstl (DG REGIO); Eva Ivits(JRC); Claus Kondrup (DG CLIMA); Paloma Mart<strong>in</strong>(EAHC); Hanne-Grete Nilsen (DG ENV); Kar<strong>in</strong>Zaunberger (DG ENV).Comments <strong>fr</strong>om National ReferenceCentres for <strong>Climate</strong> Change Impacts,Vulnerability <strong>and</strong> AdaptationF<strong>in</strong>a Ambattle (Catalan Office for <strong>Climate</strong> Change,Spa<strong>in</strong>); Cathr<strong>in</strong>e Andresen (Directorate for CivilProtection <strong>and</strong> Emergency Plann<strong>in</strong>g (DSB),Norway); Sab<strong>in</strong>e August<strong>in</strong> (Federal Office for theEnvironment (BAFU), Switzerl<strong>and</strong>); Johan Bogaert(LeefmiliEU Natuur en Energie (LNE), Belgium);Franco Desiato (Istituto Superiore per la Protezionee la Ricerca Ambientale (ISPRA), Italy); ChristophDürr (BAFU); Francesca Giordano (ISPRA); AndriesHof (PBL); Rol<strong>and</strong> Hohmann (BAFU); Else Lobersli(Directorate for Nature Management, Norway); PetraMahrenholz (UBA); Ellen Oseth (Norwegian PolarInstitute, Norway); Bertr<strong>and</strong> Reysset (M<strong>in</strong>istry ofEnvironment <strong>and</strong> Susta<strong>in</strong>able Development, France);Jelle van M<strong>in</strong>nen (PBL); André Wehrli (BAFU).Other expert reviewersEwa Bednorz (Adam Mickiewicz University,Pol<strong>and</strong>); Pam Berry (University of Oxford, UnitedK<strong>in</strong>gdom); Marco B<strong>in</strong>di (Universtiy of Florence,Italy); Åsa Alex<strong>and</strong>ra Borg Pedersen (NorwegianUniversity of Science <strong>and</strong> Technology, Norway);Laurens Bouwer (Institute for EnvironmentalStudies, the Netherl<strong>and</strong>s); Petra Döll (GoetheUniversity Frankfurt, Germany); Mike Harley(AEA Technology, United K<strong>in</strong>gdom); Ketil Isaksen(Norwegian Meteorological Institute, Norway);Wilco Hazeleger (Royal Netherl<strong>and</strong>s MeteorologicalInstitute (KNMI), Netherl<strong>and</strong>s); Cornelia Krug(DIVERSITAS, France); Allan Lilly (The JamesHutton Institute, United K<strong>in</strong>gdom); James Morison(Forestry Research, United K<strong>in</strong>gdom); JeanetteNoetzli (University of Zürich, Switzerl<strong>and</strong>);Matthew Palmer (MOHC); Stefan Rahmstorf(Potsdam Institute for <strong>Climate</strong> Impact Research(PIK), Germany); Jose L. Rubio (University ofValencia, Spa<strong>in</strong>); Goran Stahl (Swedish Universityof Agricultural Sciences (SLU), Sweden); Gian-RetoWalther (BAFU); Paul Watkiss (PWA).14 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Executive summary• Terrestrial biodiversity <strong>and</strong> ecosystems: earlieroccurrence of spr<strong>in</strong>g seasonal events <strong>and</strong> lateroccurrence of autumn seasonal events <strong>in</strong> plants<strong>and</strong> animals; lengthen<strong>in</strong>g of breed<strong>in</strong>g seasons;northwards <strong>and</strong> uphill movement of many plant<strong>and</strong> animal species, but the migration rate ofmany species is <strong>in</strong>sufficient to keep pace withthe speed of climate <strong>change</strong>; establishment ofwarm-adapted alien plant species; many habitatsof <strong>Europe</strong>an <strong>in</strong>terest (EU Habitats Directive) arepotentially threatened by climate <strong>change</strong> overtheir natural range <strong>in</strong> <strong>Europe</strong>.• Agriculture: northward expansion of areassuitable for several crops; earlier flower<strong>in</strong>g <strong>and</strong>harvest dates <strong>in</strong> cereals; reduced yield of somecrops due to heat waves <strong>and</strong> droughts (mostly<strong>in</strong> central <strong>and</strong> southern <strong>Europe</strong>), but <strong>in</strong>creasedyields of other crops (mostly <strong>in</strong> northern<strong>Europe</strong>); <strong>in</strong>creased water dem<strong>and</strong> for irrigation(<strong>in</strong> southern <strong>and</strong> south-western <strong>Europe</strong>).• Forests <strong>and</strong> forestry: reduction <strong>in</strong> forest growthdue to storms, pests <strong>and</strong> diseases <strong>in</strong> some central<strong>and</strong> western areas of <strong>Europe</strong>; <strong>in</strong>crease <strong>in</strong> thenumber of forest fires <strong>in</strong> the Mediterraneanregion between 1980 <strong>and</strong> 2000 <strong>and</strong> a decreasethereafter.• Energy: reduced dem<strong>and</strong> for heat<strong>in</strong>g(particularly <strong>in</strong> northern <strong>and</strong> north-western<strong>Europe</strong>) but <strong>in</strong>creased dem<strong>and</strong> for cool<strong>in</strong>g(particularly <strong>in</strong> southern <strong>Europe</strong>).• Human health: tens of thous<strong>and</strong>s of prematuredeaths due to the extreme 2003 summerheat‐wave; thous<strong>and</strong>s of premature deathsper year due to tropospheric ozone (but thecontribution of climate <strong>change</strong> is difficult toquantify); <strong>in</strong>creased number of people affectedby river <strong>and</strong> coastal flood<strong>in</strong>g; northward <strong>and</strong>upward movement of tick species <strong>and</strong> related<strong>in</strong>creased risk of transmission of vector-bornediseases.Further climate <strong>change</strong> <strong>impacts</strong> are projected for thefutureObserved <strong>impacts</strong> of climate <strong>change</strong> are projected tocont<strong>in</strong>ue due to further climate <strong>change</strong>. The level offuture <strong>impacts</strong> depends on the magnitude of climate<strong>change</strong> <strong>and</strong> on socio‐economic <strong>and</strong> environmentalfactors. Socio‐economic developments can eitheraggravate or reduce the projected <strong>impacts</strong> of climate<strong>change</strong>. Future <strong>impacts</strong> can be substantially reducedby an ambitious global mitigation policy <strong>and</strong> bytargeted adaptation actions.<strong>Climate</strong> <strong>change</strong> can <strong>in</strong>crease exist<strong>in</strong>g vulnerabilities<strong>and</strong> deepen socio‐economic imbalances <strong>in</strong> <strong>Europe</strong>Exist<strong>in</strong>g socio‐economic vulnerabilities may beexacerbated by the <strong>impacts</strong> of climate <strong>change</strong>.There are significant differences <strong>in</strong> the economic,technical, <strong>and</strong> <strong>in</strong>stitutional capacity to cope with<strong>and</strong> adapt to climate <strong>change</strong> across <strong>Europe</strong>. When<strong>impacts</strong> of climate <strong>change</strong> affect regions with lowadaptive capacity, the consequences can be severe.An <strong>in</strong>tegrated assessment of <strong>Europe</strong>an regions'<strong>vulnerability</strong> to climate <strong>change</strong> suggests that climate<strong>change</strong> may negatively affect the territorial cohesion<strong>in</strong> <strong>Europe</strong> by deepen<strong>in</strong>g exist<strong>in</strong>g socio‐economicimbalances.Damage costs <strong>fr</strong>om natural disasters have <strong>in</strong>creased;the contribution of climate <strong>change</strong> to these costs isprojected to <strong>in</strong>crease <strong>in</strong> the futureHydro-meteorological events such as floods <strong>and</strong>storms account for around two thirds of the damagecosts of natural disasters, <strong>and</strong> these costs have<strong>in</strong>creased s<strong>in</strong>ce 1980. The observed <strong>in</strong>crease <strong>in</strong>damage costs <strong>fr</strong>om extreme weather events is ma<strong>in</strong>lydue to <strong>in</strong>creases <strong>in</strong> population, economic wealth <strong>and</strong>human activities <strong>in</strong> hazard-prone areas <strong>and</strong> to betterreport<strong>in</strong>g. The contribution of climate <strong>change</strong> to thedamage costs <strong>fr</strong>om natural disasters is expected to<strong>in</strong>crease <strong>in</strong> the future due to the projected <strong>in</strong>crease<strong>in</strong> the <strong>in</strong>tensity <strong>and</strong> <strong>fr</strong>equency of extreme weatherevents <strong>in</strong> many regions.The comb<strong>in</strong>ed <strong>impacts</strong> of projected climate <strong>change</strong><strong>and</strong> socio‐economic development can lead to highdamage costsPotentially large damage costs are projectedfor <strong>Europe</strong> due to the comb<strong>in</strong>ed <strong>impacts</strong> ofsocio‐economic developments <strong>and</strong> climate <strong>change</strong>,such as <strong>in</strong>creases <strong>in</strong> coastal <strong>and</strong> river flood<strong>in</strong>g,heat waves <strong>and</strong> energy dem<strong>and</strong> for cool<strong>in</strong>g. Costestimates for various key sectors (<strong>in</strong><strong>fr</strong>astructure,built environment, tourism, transport, <strong>and</strong> forestry)are either unavailable or <strong>fr</strong>agmentary. There is noconsensus on cost estimates for biodiversity <strong>and</strong>ecosystem services due to the challenge of propereconomic valuation. Estimates of the total costs offuture climate <strong>change</strong> on the <strong>Europe</strong>an economy arecurrently not available.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201217


Executive summaryThe causes of the most costly climate <strong>impacts</strong> areprojected to differ strongly across <strong>Europe</strong>The most costly <strong>impacts</strong> <strong>in</strong> southern <strong>Europe</strong> areprojected to be <strong>in</strong>creases <strong>in</strong> energy dem<strong>and</strong> <strong>and</strong> heatwaves, <strong>in</strong> western <strong>Europe</strong> coastal flood<strong>in</strong>g <strong>and</strong> heatwaves, <strong>in</strong> northern <strong>Europe</strong> coastal <strong>and</strong> river floods,<strong>and</strong> <strong>in</strong> eastern <strong>Europe</strong> river floods.The damage costs <strong>fr</strong>om climate <strong>impacts</strong> can bereduced significantly by mitigation <strong>and</strong> adaptationactionsSignificant reductions <strong>in</strong> damage costs can beachieved by global <strong>and</strong> <strong>Europe</strong>an mitigationpolicies, consistent with the UNFCCC 2 °C objective,<strong>in</strong> comb<strong>in</strong>ation with adaptation actions.On-go<strong>in</strong>g <strong>and</strong> planned monitor<strong>in</strong>g <strong>and</strong> research atnational <strong>and</strong> EU level can improve assessmentsof past <strong>and</strong> projected <strong>impacts</strong> of climate <strong>change</strong>,thereby enhanc<strong>in</strong>g the knowledge base foradaptationImproved <strong>in</strong>formation on past <strong>and</strong> projectedclimate <strong>impacts</strong> <strong>and</strong> on the <strong>vulnerability</strong> ofenvironmental <strong>and</strong> social systems is crucial forthe plann<strong>in</strong>g <strong>and</strong> implementation of effectiveadaptation measures. <strong>Climate</strong>-ADAPT providesa platform for shar<strong>in</strong>g this <strong>in</strong>formation withpolicymakers at the <strong>Europe</strong>an, national <strong>and</strong>subnational level.Longer time series <strong>and</strong> greater spatial coverage ofclimate data could be achieved through improvedmonitor<strong>in</strong>g of Essential <strong>Climate</strong> Variables <strong>fr</strong>om<strong>in</strong> situ stations <strong>and</strong> satellites, <strong>and</strong> reanalysis of<strong>Europe</strong>an climate data.The availability of consistent <strong>and</strong> comparablesocio‐economic scenarios at the <strong>Europe</strong>anlevel could improve <strong>in</strong>tegrated climate <strong>change</strong><strong>vulnerability</strong> assessments. The availability of suchscenarios, <strong>and</strong> the use of comparable methods,could also improve the comparability of nationalimpact <strong>and</strong> <strong>vulnerability</strong> assessments.The <strong>in</strong>dicators <strong>in</strong>form<strong>in</strong>g this assessment arebased ma<strong>in</strong>ly on EU-wide research <strong>and</strong> on globaldatabases. In the future some <strong>in</strong>dicators on climate<strong>impacts</strong> <strong>and</strong> adaptation may be based on datacollected <strong>fr</strong>om member countries.18 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Technical summaryTable TS.1 Observed <strong>and</strong> projected climate <strong>change</strong> <strong>and</strong> <strong>impacts</strong> on environmental <strong>and</strong>socio‐economic systems <strong>and</strong> human health (cont.)CryosphereSnow cover (C)Greenl<strong>and</strong> ice sheet(C)Glaciers (C)Arctic (C) <strong>and</strong>Baltic sea ice (N)Perma<strong>fr</strong>ost (C)What is already happen<strong>in</strong>gSnow cover extent <strong>in</strong> the Northern Hemisphere hasfallen by 7 % <strong>in</strong> March <strong>and</strong> 11 % <strong>in</strong> April dur<strong>in</strong>gthe past four decades. In w<strong>in</strong>ter <strong>and</strong> autumn nosignificant <strong>change</strong>s have occurred. Snow mass <strong>in</strong><strong>Europe</strong> has decreased by 7 % <strong>in</strong> March <strong>fr</strong>om 1982to 2009.The Greenl<strong>and</strong> ice sheet <strong>change</strong>d <strong>in</strong> the 1990s<strong>fr</strong>om be<strong>in</strong>g <strong>in</strong> near mass balance to los<strong>in</strong>g about100 billion tonnes of ice per year. Ice losses haves<strong>in</strong>ce then more than doubled to 250 billion tonnesa year averaged over 2005 to 2009. The recentmelt<strong>in</strong>g of the Greenl<strong>and</strong> Ice Sheet is estimated tohave contributed up to 0.7 millimetres a year toglobal sea-level rise (about one quarter of the totalsea-level rise).The vast majority of glaciers <strong>in</strong> the <strong>Europe</strong>an glacialregions are <strong>in</strong> retreat. Glaciers <strong>in</strong> the <strong>Europe</strong>an Alpshave lost approximately two thirds of their volumes<strong>in</strong>ce 1850, with clear acceleration s<strong>in</strong>ce the 1980s.The extent <strong>and</strong> volume of Arctic sea ice has decl<strong>in</strong>edrapidly s<strong>in</strong>ce 1980, especially <strong>in</strong> summer. Record lowsea ice cover <strong>in</strong> September 2007, 2011 <strong>and</strong> 2012was roughly half the size of the normal m<strong>in</strong>imumextent <strong>in</strong> the 1980s.The decl<strong>in</strong>e <strong>in</strong> summer sea iceappears to have accelerated s<strong>in</strong>ce 1999.The maximum sea ice extent <strong>in</strong> the Baltic sea hasbeen decreas<strong>in</strong>g s<strong>in</strong>ce about 1800.In the past 10–20 years <strong>Europe</strong>an perma<strong>fr</strong>ost hasshown a general warm<strong>in</strong>g trend, with greatestwarm<strong>in</strong>g <strong>in</strong> Svalbard <strong>and</strong> Sc<strong>and</strong><strong>in</strong>avia. The activelayer thickness (i.e. the thaw<strong>in</strong>g depth) has<strong>in</strong>creased at some <strong>Europe</strong>an perma<strong>fr</strong>ost sites.<strong>Climate</strong> <strong>impacts</strong> on environmental systemsOceans <strong>and</strong> mar<strong>in</strong>e environmentOcean acidification(N)Ocean heat content(N)Surface-ocean pH has decl<strong>in</strong>ed <strong>fr</strong>om 8.2 to 8.1 overthe <strong>in</strong>dustrial era due to the growth of atmosphericCO 2concentrations. This decl<strong>in</strong>e correspondsto a 30 % <strong>in</strong>crease <strong>in</strong> oceanic acidity. Observedreductions <strong>in</strong> surface-water pH are nearly identicalacross the global ocean <strong>and</strong> throughout <strong>Europe</strong>'sseas. Ocean acidification <strong>in</strong> recent decades isoccurr<strong>in</strong>g a hundred times faster than dur<strong>in</strong>g pastnatural events over the last 55 million years. Oceanacidification already reaches <strong>in</strong>to the deep ocean,particularly <strong>in</strong> the high latitudes.Heat <strong>in</strong>creases <strong>in</strong> the world's oceans accounts forapproximately 93 % of the warm<strong>in</strong>g of the earthsystem dur<strong>in</strong>g the last six decades.What could happenModel simulations project widespread reductions <strong>in</strong>the extent <strong>and</strong> duration of snow cover <strong>in</strong> <strong>Europe</strong> overthe 21st century.Model projections suggest further decl<strong>in</strong>es of theGreenl<strong>and</strong> ice sheet <strong>in</strong> the future but the processesdeterm<strong>in</strong><strong>in</strong>g the rate of <strong>change</strong> are still poorlyunderstood.Glacier retreat is expected to cont<strong>in</strong>ue <strong>in</strong> the future.The volume of <strong>Europe</strong>an glaciers has been estimatedto decl<strong>in</strong>e between 22 <strong>and</strong> 66 % compared to thecurrent situation by 2100 under a bus<strong>in</strong>ess-as-usualemission scenario.Arctic Sea ice is projected to cont<strong>in</strong>ue to shr<strong>in</strong>k<strong>in</strong> extent <strong>and</strong> thickness <strong>and</strong> may even disappearcompletely at the end of the summer melt season <strong>in</strong>the com<strong>in</strong>g decades. It is expected that there will stillbe substantial ice <strong>in</strong> w<strong>in</strong>ter.Baltic Sea ice, <strong>in</strong> particular the extent of the maximalcover, is projected to shr<strong>in</strong>k further.Present <strong>and</strong> projected atmospheric warm<strong>in</strong>g isprojected to lead to wide-spread warm<strong>in</strong>g <strong>and</strong>thaw<strong>in</strong>g of perma<strong>fr</strong>ost.Average surface-water pH is projected to decl<strong>in</strong>efurther to 7.7 or 7.8 by the year 2100, depend<strong>in</strong>gon future CO 2emissions. This decl<strong>in</strong>e represents a100 to 150 % <strong>in</strong>crease <strong>in</strong> acidity relative to presentconditions.Ocean acidification may affect many mar<strong>in</strong>eorganisms with<strong>in</strong> the next 20 years <strong>and</strong> could altermar<strong>in</strong>e ecosystems <strong>and</strong> fisheries.Further warm<strong>in</strong>g of the oceans is expected withprojected climate <strong>change</strong>, but quantitative projectionsof ocean heat content are not available.Sea surfacetemperature (C)Phenology of mar<strong>in</strong>especies (C)An <strong>in</strong>creas<strong>in</strong>g trend <strong>in</strong> the heat content <strong>in</strong> theuppermost 700 m of the world's oceans is evidentover the last six decades. Recent observations showsubstantial warm<strong>in</strong>g of the deeper ocean (between700 <strong>and</strong> 2 000 m depth).Sea surface temperature <strong>in</strong> <strong>Europe</strong>an seas is<strong>in</strong>creas<strong>in</strong>g more rapidly than <strong>in</strong> the global oceans.The rate of <strong>in</strong>crease <strong>in</strong> sea surface temperature <strong>in</strong>all <strong>Europe</strong>an seas dur<strong>in</strong>g the past 25 years is thelargest ever measured <strong>in</strong> any previous 25-yearperiod.Many mar<strong>in</strong>e organisms <strong>in</strong> <strong>Europe</strong>an seas appearearlier <strong>in</strong> their seasonal cycles than <strong>in</strong> the past.Some plankton species have advanced theirseasonal cycle by four to six weeks <strong>in</strong> recentdecades.Global sea surface temperature is projected to risemore slowly than atmospheric temperature.Projections of the phenological responses of <strong>in</strong>dividualspecies are not available, but phenological <strong>change</strong>sare expected to cont<strong>in</strong>ue with projected furtherclimate <strong>change</strong>.20 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Technical summaryTable TS.1 Observed <strong>and</strong> projected climate <strong>change</strong> <strong>and</strong> <strong>impacts</strong> on environmental <strong>and</strong>socio‐economic systems <strong>and</strong> human health (cont.)Distribution ofmar<strong>in</strong>e species (C)What is already happen<strong>in</strong>gA major northward expansion of warmer-waterplankton <strong>in</strong> the north-east Atlantic <strong>and</strong> a northwardretreat of colder-water plankton has taken place.The northerly movement is about 10 ° latitude(1 100 km) over the past 40 years, <strong>and</strong> it seems tohave accelerated s<strong>in</strong>ce 2000.What could happenFurther <strong>change</strong>s <strong>in</strong> the distribution of mar<strong>in</strong>e speciesare expected, with projected further climate <strong>change</strong>,but quantitative projections are not available.Coastal zonesGlobal <strong>and</strong> <strong>Europe</strong>ansea-level rise (C)Storm surges (N)Coastal erosion (C)Freshwater quantity <strong>and</strong> qualityRiver flow (C)River floods (C)River flow drought(C)Water temperature(C)Lake <strong>and</strong> river icecover (C)Sub-tropical species are occurr<strong>in</strong>g with <strong>in</strong>creas<strong>in</strong>g<strong>fr</strong>equency <strong>in</strong> <strong>Europe</strong>an waters <strong>and</strong> sub-Arctic speciesare reced<strong>in</strong>g northwards.Tide gauges show a global mean sea-level rise ofaround 1.7 mm/year over the 20th century. Satellitemeasurements show a rise of around 3 mm/yearover the last two decades.Sea level is not ris<strong>in</strong>g uniformly at all locations, withsome locations experienc<strong>in</strong>g much greater thanaverage rise. Coastal <strong>impacts</strong> also depend on thevertical movement of the l<strong>and</strong>, which can eitheradd to or subtract <strong>fr</strong>om climate-<strong>in</strong>duced sea-level<strong>change</strong>, depend<strong>in</strong>g on the location.Several large storm surge events have caused lossof life <strong>and</strong> damage to property <strong>in</strong> <strong>Europe</strong> dur<strong>in</strong>g thepast century. Extreme coastal water levels have<strong>in</strong>creased at many locations around the <strong>Europe</strong>ancoastl<strong>in</strong>e, ma<strong>in</strong>ly due to <strong>in</strong>creases <strong>in</strong> mean local sealevel rather than to <strong>change</strong>s <strong>in</strong> storm activity. Largenatural variability <strong>and</strong> lack of good quality longobservational records makes detect<strong>in</strong>g long-term<strong>change</strong>s <strong>in</strong> trends <strong>in</strong> extreme coastal sea levelsdifficult.About one quarter of the <strong>Europe</strong>an coastl<strong>in</strong>e forwhich data is available is currently erod<strong>in</strong>g, duepartly to <strong>in</strong>creas<strong>in</strong>g human activities <strong>in</strong> the coastalzone.<strong>Climate</strong> <strong>change</strong> <strong>in</strong>duced long-term trends <strong>in</strong> riverflows are difficult to detect due to substantialnatural variability <strong>and</strong> modifications <strong>fr</strong>om waterabstractions, man-made reservoirs <strong>and</strong> l<strong>and</strong>-use<strong>change</strong>s. Nevertheless, <strong>in</strong>creased river flows dur<strong>in</strong>gw<strong>in</strong>ter <strong>and</strong> lower river flows dur<strong>in</strong>g summer havebeen recorded s<strong>in</strong>ce the 1960s <strong>in</strong> large parts of<strong>Europe</strong>.More than 325 major river floods have beenreported for <strong>Europe</strong> s<strong>in</strong>ce 1980, of which more than200 have been reported s<strong>in</strong>ce 2000.The rise <strong>in</strong> the reported number of flood events overrecent decades results ma<strong>in</strong>ly <strong>fr</strong>om better report<strong>in</strong>g<strong>and</strong> <strong>fr</strong>om l<strong>and</strong>-use <strong>change</strong>s.<strong>Europe</strong> has been affected by several major droughts<strong>in</strong> recent decades, such as the catastrophic droughtassociated with the 2003 summer heat wave <strong>in</strong>central parts of the cont<strong>in</strong>ent <strong>and</strong> the 2005 drought<strong>in</strong> the Iberian Pen<strong>in</strong>sula. Severity <strong>and</strong> <strong>fr</strong>equencyof droughts appear to have <strong>in</strong>creased <strong>in</strong> parts of<strong>Europe</strong>, <strong>in</strong> particular <strong>in</strong> southern <strong>Europe</strong>.Water temperature <strong>in</strong> major <strong>Europe</strong>an rivers <strong>and</strong>lakes has <strong>in</strong>creased by 1–3 °C over the last century.The duration of ice cover on <strong>Europe</strong>an lakes <strong>and</strong>rivers has shortened at a mean rate of 12 days percentury over the last 150–200 years.Projections of global mean sea-level rise <strong>in</strong> the21st century range between 20 cm <strong>and</strong> about 2 mby the end of the century. Modell<strong>in</strong>g uncerta<strong>in</strong>tycontributes at least as much to the overall uncerta<strong>in</strong>tyas uncerta<strong>in</strong>ty about future greenhouse gas emissionscenarios. It is likely that 21st century sea-level risewill be greater than dur<strong>in</strong>g the 20th century. Currentprojections suggest that it is more likely to be lessthan 1 m than to be more than 1 m.Projections of <strong>change</strong>s <strong>in</strong> storms <strong>and</strong> storm surgesfor the <strong>Europe</strong>an region have a high uncerta<strong>in</strong>ty.Increases <strong>in</strong> extreme coastal water levels will likelybe dom<strong>in</strong>ated by <strong>in</strong>creases <strong>in</strong> local relative mean sealevel, with <strong>change</strong>s <strong>in</strong> the surge component be<strong>in</strong>g lessimportant at most locations.Projections for coastal erosion are not available.Future climate <strong>change</strong>, <strong>in</strong> particular ris<strong>in</strong>g sea levels,is expected to accelerate coastal erosion.<strong>Climate</strong> <strong>change</strong> is projected to result <strong>in</strong> strong<strong>change</strong>s <strong>in</strong> the seasonality of river flows across<strong>Europe</strong>. Summer flows are projected to decrease <strong>in</strong>most of <strong>Europe</strong>, <strong>in</strong>clud<strong>in</strong>g <strong>in</strong> regions where annualflows are projected to <strong>in</strong>crease.Global warm<strong>in</strong>g is projected to <strong>in</strong>tensify thehydrological cycle <strong>and</strong> <strong>in</strong>crease the occurrence <strong>and</strong><strong>fr</strong>equency of flood events <strong>in</strong> large parts of <strong>Europe</strong>.Pluvial floods <strong>and</strong> <strong>in</strong> particular flash floods, whichare triggered by local <strong>in</strong>tense precipitation events,are also likely to become more <strong>fr</strong>equent throughout<strong>Europe</strong>. In regions with projected reduced snowaccumulation dur<strong>in</strong>g w<strong>in</strong>ter (e.g. north-eastern<strong>Europe</strong>), the risk of early spr<strong>in</strong>g flood<strong>in</strong>g coulddecrease. However quantitative projections for flood<strong>fr</strong>equency <strong>and</strong> <strong>in</strong>tensity are uncerta<strong>in</strong>.Regions most prone to an <strong>in</strong>crease <strong>in</strong> drought hazardare southern <strong>and</strong> south-eastern <strong>Europe</strong>, but m<strong>in</strong>imumriver flows are also projected to decrease significantly<strong>in</strong> many other parts of the cont<strong>in</strong>ent, especially <strong>in</strong>summer.Lake <strong>and</strong> river surface water temperatures areprojected to <strong>in</strong>crease with further <strong>in</strong>creases <strong>in</strong> airtemperature.A further decrease <strong>in</strong> the duration of lake ice cover isprojected.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201221


Technical summaryTable TS.1 Observed <strong>and</strong> projected climate <strong>change</strong> <strong>and</strong> <strong>impacts</strong> on environmental <strong>and</strong>socio‐economic systems <strong>and</strong> human health (cont.)What is already happen<strong>in</strong>g<strong>Climate</strong> <strong>impacts</strong> on socio‐economic systems <strong>and</strong> human healthAgricultureGrow<strong>in</strong>g season foragricultural crops(C)Agrophenology (C)Water-limited cropproductivity (N)Irrigation waterrequirement (C)Forests <strong>and</strong> forestryForest growth (C)Forest fires (C)Fisheries <strong>and</strong>aquaculture (N)The thermal grow<strong>in</strong>g season of a number ofagricultural crops <strong>in</strong> <strong>Europe</strong> has lengthened by11.4 days on average <strong>fr</strong>om 1992 to 2008. Thedelay <strong>in</strong> the end of the grow<strong>in</strong>g season was morepronounced than the advance of its start.Flower<strong>in</strong>g of a several perennial crops has advancedby about two days per decade <strong>in</strong> recent decades.These <strong>change</strong>s are affect<strong>in</strong>g crop production <strong>and</strong> therelative performance of different crop species <strong>and</strong>varieties.Yields of several crops (e.g. wheat) are stagnat<strong>in</strong>g<strong>and</strong> yields of other crops (e.g. maize <strong>in</strong> northern<strong>Europe</strong>) are <strong>in</strong>creas<strong>in</strong>g, partly due to climate<strong>change</strong>.Extreme climatic events, <strong>in</strong>clud<strong>in</strong>g droughts<strong>and</strong> heat waves, have negatively affected cropproductivity dur<strong>in</strong>g the first decade of the21st century.In Italy <strong>and</strong> the Iberian Pen<strong>in</strong>sula, an <strong>in</strong>crease <strong>in</strong> thevolume of water required for irrigation <strong>fr</strong>om 1975 to2010 has been estimated, whereas parts of southeastern<strong>Europe</strong> have recorded a decrease.Forest biomass <strong>and</strong> the area covered by forests <strong>and</strong>other wooded l<strong>and</strong> have <strong>in</strong>creased over the pastdecades. In some central <strong>and</strong> western forest areasof <strong>Europe</strong>, forest growth has been reduced <strong>in</strong> thelast 10 years due to storms, pests <strong>and</strong> diseases.The number of fires <strong>in</strong> the Mediterranean region has<strong>in</strong>creased over the period <strong>fr</strong>om 1980 to 2000 <strong>and</strong>decreased thereafter. The impact of fire events isparticularly strong on already degraded ecosystems<strong>in</strong> southern <strong>Europe</strong>.Wild fish stocks seem to be respond<strong>in</strong>g to chang<strong>in</strong>gtemperatures <strong>and</strong> food supply by chang<strong>in</strong>g theirgeographical distribution.What could happenThe grow<strong>in</strong>g season is projected to <strong>in</strong>crease furtherthroughout most of <strong>Europe</strong> which would allow anorthward expansion of warm-season crops to areasthat are currently not suitable.The shorten<strong>in</strong>g of crop growth phases <strong>in</strong> many cropsis expected to cont<strong>in</strong>ue. The shorten<strong>in</strong>g of the gra<strong>in</strong>fill<strong>in</strong>g phase of cereals <strong>and</strong> oilseed crops can beparticularly detrimental to yield.Future climate <strong>change</strong> can lead to yield decreasesor <strong>in</strong>creases, depend<strong>in</strong>g on crop type <strong>and</strong> withconsiderable regional differences across <strong>Europe</strong>.Yield variability is expected to further <strong>in</strong>crease underprojected future climate <strong>change</strong> (<strong>in</strong>clud<strong>in</strong>g <strong>in</strong>creased<strong>in</strong>tensity <strong>and</strong> <strong>fr</strong>equency of extreme events).In southern <strong>Europe</strong> suitability for ra<strong>in</strong>-fed agricultureis projected to decrease <strong>and</strong> irrigation requirementsare projected to <strong>in</strong>crease, under future climate<strong>change</strong>.Forest growth is projected to <strong>in</strong>crease <strong>in</strong> northern<strong>Europe</strong> <strong>and</strong> to decrease <strong>in</strong> southern <strong>Europe</strong> underprojected future climate <strong>change</strong>.In a warmer climate, more severe fire weather <strong>and</strong>,as a consequence, an expansion of the fire-pronearea <strong>and</strong> longer fire seasons are projected, but withconsiderable regional variation.Future projected climate <strong>change</strong> is likely to leadto an <strong>in</strong>creased catch potential <strong>in</strong> the Arctic, <strong>and</strong>to a decreased or constant catch potential <strong>in</strong> other<strong>Europe</strong>an seas.Human healthFloods <strong>and</strong> health(N)Extremetemperatures <strong>and</strong>health (C)Air pollution byozone <strong>and</strong> health (C)River <strong>and</strong> coastal flood<strong>in</strong>g affect millions of people<strong>in</strong> <strong>Europe</strong> each year. Effects <strong>in</strong>clude drown<strong>in</strong>g,heart attacks, <strong>in</strong>juries, <strong>in</strong>fections, psychosocialconsequences, health effects of chemical hazards,<strong>and</strong> disruption of services.Mortality <strong>and</strong> morbidity <strong>in</strong>crease, especially<strong>in</strong> vulnerable population groups, <strong>and</strong> generalpopulation well-be<strong>in</strong>g decreases dur<strong>in</strong>g extremecold spells <strong>and</strong> heat-waves, as well as above <strong>and</strong>below local <strong>and</strong> seasonal comfort temperatures, withdifferent temperature thresholds <strong>in</strong> <strong>Europe</strong>.Heat-waves over the last decade have caused tensof thous<strong>and</strong>s of premature deaths <strong>in</strong> <strong>Europe</strong>.Excessive exposure to ground-level ozone isestimated to cause about 20 000 premature deathsper year <strong>in</strong> <strong>Europe</strong>.Attribution of observed <strong>change</strong>s <strong>in</strong> ozoneexceedances to climate <strong>change</strong> is difficult.<strong>Climate</strong> <strong>change</strong> can <strong>in</strong>fluence where aquaculture ispossible, which species are raised, <strong>and</strong> the efficiencyof the production.Increases <strong>in</strong> health risks associated with river <strong>and</strong>coastal flood<strong>in</strong>g are projected <strong>in</strong> many regionsof <strong>Europe</strong> due to projected <strong>in</strong>creases <strong>in</strong> extremeprecipitation events <strong>and</strong> sea level.Length, <strong>fr</strong>equency, <strong>and</strong> <strong>in</strong>tensity of heat-waves arevery likely to <strong>in</strong>crease <strong>in</strong> the future. This <strong>in</strong>crease canlead to a substantial <strong>in</strong>crease <strong>in</strong> mortality over thenext decades, especially <strong>in</strong> vulnerable groups, unlessadaptation measures are taken.Cold-related mortality is projected to decrease <strong>in</strong>many countries due to climate <strong>change</strong> as well asbetter social, economic, <strong>and</strong> hous<strong>in</strong>g conditions.Future projected climate <strong>change</strong> is expected to<strong>in</strong>crease ozone concentrations but this effect will mostlikely be outweighed by reduction <strong>in</strong> ozone levels dueto expected future emission reductions.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201223


Technical summaryTable TS.1 Observed <strong>and</strong> projected climate <strong>change</strong> <strong>and</strong> <strong>impacts</strong> on environmental <strong>and</strong>socio‐economic systems <strong>and</strong> human health (cont.)Vector-bornediseases (C)Water- <strong>and</strong>foodborne diseases(C)Energy(N)Transport(N)Tourism(C)What is already happen<strong>in</strong>gThe transmission cycles of vector-borne diseasesare sensitive to climatic factors but also to l<strong>and</strong> use,vector control, human behaviour, <strong>and</strong> public healthcapacities.<strong>Climate</strong> <strong>change</strong> is the ma<strong>in</strong> factor beh<strong>in</strong>d theobserved northward <strong>and</strong> upward move of the tickspecies Ixodes ric<strong>in</strong>us <strong>in</strong> parts of <strong>Europe</strong>.It is not possible to assess whether climate <strong>change</strong>has already affected water- <strong>and</strong> food-borne diseases<strong>in</strong> <strong>Europe</strong>.The number of heat<strong>in</strong>g degree days has decreasedby an average of 16 per year s<strong>in</strong>ce 1980. Thisdecrease helps reduce the dem<strong>and</strong> for heat<strong>in</strong>g,particularly <strong>in</strong> northern <strong>and</strong> north-western <strong>Europe</strong>.Cool<strong>in</strong>g degree days are <strong>in</strong>creas<strong>in</strong>g but time seriesare not available.L<strong>and</strong>-based <strong>and</strong> water-based transport <strong>in</strong><strong>fr</strong>astructure<strong>and</strong> operation is sensitive to <strong>change</strong>s <strong>in</strong> climate.Data on past climate-related <strong>impacts</strong> on transportare restricted to <strong>in</strong>dividual extreme events, <strong>and</strong>attribution to climate <strong>change</strong> is generally notpossible.Climatic suitability for general tourism activities iscurrently best <strong>in</strong> southern <strong>Europe</strong>.What could happen<strong>Climate</strong> <strong>change</strong> is projected to lead to furthernorthward <strong>and</strong> upward shifts <strong>in</strong> the distributionof Ixodes ric<strong>in</strong>us. It is also expected to affect thehabitat suitability for a wide range of disease vectors,<strong>in</strong>clud<strong>in</strong>g Aedes albopictus <strong>and</strong> the phlebotom<strong>in</strong>especies of s<strong>and</strong>flies.<strong>Climate</strong> <strong>change</strong> is projected to <strong>in</strong>crease the risk offood- <strong>and</strong> water-borne diseases <strong>in</strong> many parts of<strong>Europe</strong>. Projected <strong>in</strong>creased temperatures could<strong>in</strong>crease the risk of salmonellosis. Where precipitationor extreme flood<strong>in</strong>g is projected to <strong>in</strong>crease <strong>in</strong> <strong>Europe</strong>,the risk of campylobacteriosis <strong>and</strong> cryptosporidiosiscould <strong>in</strong>crease.<strong>Climate</strong> <strong>change</strong> is projected to reduce dem<strong>and</strong> forheat<strong>in</strong>g <strong>in</strong> northern <strong>and</strong> north-western <strong>Europe</strong> <strong>and</strong>to strongly <strong>in</strong>crease energy dem<strong>and</strong> for cool<strong>in</strong>g <strong>in</strong>southern <strong>Europe</strong>, which may further exacerbate peaks<strong>in</strong> electricity supply <strong>in</strong> the summer. Further <strong>in</strong>creases<strong>in</strong> temperature <strong>and</strong> droughts may limit the availabilityof cool<strong>in</strong>g water for thermal power generation <strong>in</strong>summer.<strong>Climate</strong> <strong>change</strong> is projected to have both beneficial<strong>and</strong> adverse <strong>impacts</strong> on transport, depend<strong>in</strong>g onthe region <strong>and</strong> the transport mode. Rail transport isprojected to face the highest percentage <strong>in</strong>crease<strong>in</strong> costs <strong>fr</strong>om extreme weather events. The BritishIsles, central <strong>Europe</strong>, eastern <strong>Europe</strong>, France <strong>and</strong>Sc<strong>and</strong><strong>in</strong>avia are projected to be most adverselyimpacted.Touristic attractiveness <strong>in</strong> northern <strong>and</strong> Central<strong>Europe</strong> is projected to <strong>in</strong>crease <strong>in</strong> most seasons. Thesuitability of southern <strong>Europe</strong> for tourism is projectedto decl<strong>in</strong>e markedly dur<strong>in</strong>g the key summer monthsbut improve <strong>in</strong> other seasons. Projected reductions<strong>in</strong> snow cover will negatively affect the w<strong>in</strong>ter sports<strong>in</strong>dustry <strong>in</strong> many regions, <strong>in</strong> particular regions closeto the low elevation limit for w<strong>in</strong>ter sport. Economicconsequences for regions where tourism is animportant economic sector can be substantial, butthis is strongly determ<strong>in</strong>ed by non‐climatic factors,such as the ability of tourists to adjust the tim<strong>in</strong>g oftheir holidays.Note:Letters <strong>in</strong> brackets compare <strong>in</strong>formation <strong>in</strong> the 2012 report with the 2008 report: (C) = broadly consistent;(N) = new <strong>in</strong>formation.Regional <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong>OverviewHuman systems <strong>and</strong> ecosystems <strong>in</strong> <strong>Europe</strong> arevulnerable to major climate <strong>change</strong> <strong>impacts</strong> such asriver floods, droughts or coastal flood<strong>in</strong>g. In variousregions, a comb<strong>in</strong>ation of different types of these<strong>impacts</strong> can exacerbate vulnerabilities. Vulnerabilitiesdiffer across <strong>Europe</strong> depend<strong>in</strong>g on local conditions.A summary of regional <strong>impacts</strong> <strong>and</strong> vulnerabilities ispresented (see also Map TS.1 <strong>and</strong> Table TS.2).Socio‐economic developments (e.g. population<strong>and</strong> wealth growth lead<strong>in</strong>g to <strong>in</strong>creas<strong>in</strong>g exposedsystems such as houses <strong>and</strong> other <strong>in</strong><strong>fr</strong>astructures)are a key driver (<strong>in</strong> addition to climate <strong>change</strong>)of projected <strong>in</strong>creases <strong>in</strong> climate <strong>change</strong> <strong>impacts</strong>.There are significant differences <strong>in</strong> adaptive capacityacross <strong>Europe</strong>. When major climate <strong>change</strong> <strong>impacts</strong>24 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Technical summaryaffect regions with a low adaptive capacity, theconsequences are severe. An <strong>in</strong>tegrated assessmentof <strong>Europe</strong>an regions' <strong>vulnerability</strong> to climate <strong>change</strong>suggests that climate <strong>change</strong> could deepen exist<strong>in</strong>gsocio‐economic imbalances <strong>in</strong> <strong>Europe</strong> <strong>and</strong> maynegatively affect the territorial cohesion.The ArcticThe Arctic faces major <strong>change</strong>s <strong>in</strong>clud<strong>in</strong>g a higherthan average temperature <strong>in</strong>crease, a decrease <strong>in</strong>summer sea ice cover <strong>and</strong> thaw<strong>in</strong>g of perma<strong>fr</strong>ost. Thereduction of ice cover is accelerat<strong>in</strong>g <strong>and</strong> projectedto cont<strong>in</strong>ue to impact the local natural <strong>and</strong> humansystems. It also opens up bus<strong>in</strong>ess opportunities thatcould put an additional burden on the environmentsuch as extensive oil <strong>and</strong> gas exploration <strong>and</strong>the open<strong>in</strong>g of new shipp<strong>in</strong>g routes. Thaw<strong>in</strong>g ofperma<strong>fr</strong>ost has the potential to seriously affect humansystems, by, for example, creat<strong>in</strong>g <strong>in</strong><strong>fr</strong>astructuralproblems. The <strong>fr</strong>agile Arctic ecosystems have sufferedsignificantly <strong>fr</strong>om above average temperature<strong>in</strong>creases <strong>and</strong> these <strong>impacts</strong> are expected to cont<strong>in</strong>ue.Northern <strong>Europe</strong>Projections suggest less snow <strong>and</strong> lake <strong>and</strong> river icecover, <strong>in</strong>creased w<strong>in</strong>ter <strong>and</strong> spr<strong>in</strong>g river flows <strong>in</strong>some parts (e.g. Norway) <strong>and</strong> decreases <strong>in</strong> other parts(e.g. F<strong>in</strong>l<strong>and</strong>), <strong>and</strong> greater damage by w<strong>in</strong>ter storms.<strong>Climate</strong> <strong>change</strong> could offer opportunities <strong>in</strong> northern<strong>Europe</strong>, at least <strong>in</strong> the short <strong>and</strong> medium terms. These<strong>in</strong>clude <strong>in</strong>creased crop variety <strong>and</strong> yields, enhancedforests growth, higher potential for electricity <strong>fr</strong>omhydropower, lower energy consumption for heat<strong>in</strong>g<strong>and</strong> possibly more summer tourism. However, more<strong>fr</strong>equent <strong>and</strong> <strong>in</strong>tense extreme weather events <strong>in</strong> themedium to long term might adversely impact theregion, for example by mak<strong>in</strong>g crop yields morevariable.North-western <strong>Europe</strong>Coastal flood<strong>in</strong>g has impacted low-ly<strong>in</strong>g coastal areas<strong>in</strong> north-western <strong>Europe</strong> <strong>in</strong> the past <strong>and</strong> the risksare expected to <strong>in</strong>crease due to sea-level rise <strong>and</strong> an<strong>in</strong>creased risk of storm surges. North Sea countriesare particularly vulnerable, especially Belgium,Denmark, Germany, the Netherl<strong>and</strong>s <strong>and</strong> the UnitedK<strong>in</strong>gdom. Higher w<strong>in</strong>ter precipitation is projectedto <strong>in</strong>crease the <strong>in</strong>tensity <strong>and</strong> <strong>fr</strong>equency of w<strong>in</strong>ter <strong>and</strong>spr<strong>in</strong>g river flood<strong>in</strong>g, although to date no <strong>in</strong>creasedtrends <strong>in</strong> flood<strong>in</strong>g have been observed.Central <strong>and</strong> eastern <strong>Europe</strong>Temperature extremes are projected to be a keyimpact <strong>in</strong> central <strong>and</strong> eastern <strong>Europe</strong>. Together withreduced summer precipitation this can <strong>in</strong>crease therisk of droughts, <strong>and</strong> is projected to <strong>in</strong>crease energydem<strong>and</strong> <strong>in</strong> summer. The <strong>in</strong>tensity <strong>and</strong> <strong>fr</strong>equency o<strong>fr</strong>iver floods <strong>in</strong> w<strong>in</strong>ter <strong>and</strong> spr<strong>in</strong>g (<strong>in</strong> various regions)is projected to <strong>in</strong>crease due to <strong>in</strong>creases <strong>in</strong> w<strong>in</strong>terprecipitation. <strong>Climate</strong> <strong>change</strong> is also projected tolead to higher crop-yield variability <strong>and</strong> <strong>in</strong>creasedoccurrence of forest fires.Mediterranean regionThe Mediterranean region has been subject to major<strong>impacts</strong> over recent decades as a result of decreasedprecipitation <strong>and</strong> <strong>in</strong>creased temperature, <strong>and</strong> theseare expected to worsen as the climate cont<strong>in</strong>ues to<strong>change</strong>. The ma<strong>in</strong> <strong>impacts</strong> are decreases <strong>in</strong> wateravailability <strong>and</strong> crop yields, <strong>in</strong>creas<strong>in</strong>g risks ofdroughts <strong>and</strong> biodiversity loss, forest fires <strong>and</strong> heatwaves. Increas<strong>in</strong>g irrigation efficiency <strong>in</strong> agriculturecan reduce irrigation water withdrawals to somedegree but will not be sufficient to compensatefor climate-<strong>in</strong>duced <strong>in</strong>creases <strong>in</strong> water stress. Inaddition the hydropower sector will be <strong>in</strong>creas<strong>in</strong>glyaffected by lower water availability <strong>and</strong> <strong>in</strong>creas<strong>in</strong>genergy dem<strong>and</strong>, while the tourism <strong>in</strong>dustrywill face less favourable conditions <strong>in</strong> summer.Environmental flows, which are important forthe healthy ma<strong>in</strong>tenance of aquatic ecosystems,are threatened by climate <strong>change</strong> <strong>impacts</strong> <strong>and</strong>socio‐economic developments.Cities <strong>and</strong> urban areasIn previous years, <strong>in</strong>creas<strong>in</strong>g urban l<strong>and</strong> take <strong>and</strong>urban population growth have <strong>in</strong> many places<strong>in</strong>creased the exposure of <strong>Europe</strong>an cities to differentclimate <strong>impacts</strong> such as heat waves, flood<strong>in</strong>g <strong>and</strong>droughts. The <strong>impacts</strong> of extreme events such as theflood<strong>in</strong>g of the river Elbe (2002) or the urban dra<strong>in</strong>ageflood <strong>in</strong> Copenhagen (2011) demonstrate the high<strong>vulnerability</strong> of cities to extreme weather events, eventhough it is not possible to attribute these specificevents to anthropogenic climate <strong>change</strong>. In the future,on-go<strong>in</strong>g urban l<strong>and</strong> take, growth <strong>and</strong> concentrationof population <strong>in</strong> cities, <strong>and</strong> an ag<strong>in</strong>g population,contribute to <strong>in</strong>crease further the <strong>vulnerability</strong>of cities to climate <strong>change</strong>. Urban design, urbanmanagement <strong>and</strong> enhanc<strong>in</strong>g green <strong>in</strong><strong>fr</strong>astructure maypartly address these effects.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201225


Technical summaryMounta<strong>in</strong> areasThe <strong>in</strong>crease <strong>in</strong> temperature is particularly high<strong>in</strong> many mounta<strong>in</strong> regions, where loss of glaciermass, reduced snow cover, thaw<strong>in</strong>g of perma<strong>fr</strong>ost<strong>and</strong> chang<strong>in</strong>g precipitation patterns, <strong>in</strong>clud<strong>in</strong>g lessprecipitation fall<strong>in</strong>g as snow, have been observed<strong>and</strong> are expected to <strong>in</strong>crease further. This couldlead to an <strong>in</strong>crease <strong>in</strong> the <strong>fr</strong>equency <strong>and</strong> <strong>in</strong>tensityof floods <strong>in</strong> some mounta<strong>in</strong> areas (e.g. <strong>in</strong> parts ofSc<strong>and</strong><strong>in</strong>avia) that can impact people <strong>and</strong> the builtenvironment. Additional projected <strong>impacts</strong> <strong>in</strong>cludereduced w<strong>in</strong>ter tourism, lower energy potential<strong>fr</strong>om hydropower <strong>in</strong> southern <strong>Europe</strong>, a shift <strong>in</strong>vegetation zones <strong>and</strong> extensive biodiversity loss.Plant <strong>and</strong> animal species liv<strong>in</strong>g close to mounta<strong>in</strong>tops face the risk of becom<strong>in</strong>g ext<strong>in</strong>ct due to the<strong>in</strong>ability to migrate to higher regions.The retreat of the vast majority of glaciers alsoaffects water availability <strong>in</strong> downstream areas.Damage costsDamage costs <strong>fr</strong>om weather <strong>and</strong> climate-relateddisastersHydro-meteorological events (storms, floods, <strong>and</strong>l<strong>and</strong>slides) account for 64 % of the reported damagecosts due to natural disasters <strong>in</strong> <strong>Europe</strong> s<strong>in</strong>ce1980; climatological events (extreme temperatures;droughts <strong>and</strong> forest fires) account for another 20 %.It is, however, difficult to determ<strong>in</strong>e accuratelythe proportion of damages that are attributable toclimate <strong>change</strong>. Damages <strong>fr</strong>om extreme weatherevents have <strong>in</strong>creased <strong>fr</strong>om EUR 9 billion <strong>in</strong> the1980s to more than EUR 13 billion <strong>in</strong> the 2000s. The<strong>in</strong>creased <strong>in</strong> damages is primarily due to <strong>in</strong>creases <strong>in</strong>population, economic wealth <strong>and</strong> human activities<strong>in</strong> hazard-prone areas <strong>and</strong> to better report<strong>in</strong>g. Thecontribution of climate <strong>change</strong> to the damage costs<strong>fr</strong>om natural disasters is expected to <strong>in</strong>crease due tothe projected <strong>change</strong>s <strong>in</strong> the <strong>in</strong>tensity <strong>and</strong> <strong>fr</strong>equencyof extreme weather events.Projected costs of climate <strong>change</strong> <strong>impacts</strong>Projections suggest potentially large costsof comb<strong>in</strong>ed climate <strong>change</strong> <strong>impacts</strong> <strong>and</strong>socio‐economic developments <strong>in</strong> <strong>Europe</strong>,particularly due to <strong>in</strong>creases <strong>in</strong> coastal <strong>and</strong>river flood<strong>in</strong>g, heat waves <strong>and</strong> energy dem<strong>and</strong>(for cool<strong>in</strong>g). The most costly <strong>impacts</strong> differ stronglyacross <strong>Europe</strong>. In southern parts of <strong>Europe</strong> the mostcostly <strong>impacts</strong> are <strong>in</strong>creases <strong>in</strong> energy dem<strong>and</strong> <strong>and</strong>heat waves, <strong>in</strong> western <strong>Europe</strong> coastal flood<strong>in</strong>g <strong>and</strong>heat waves, <strong>in</strong> northern <strong>Europe</strong> coastal <strong>and</strong> riverfloods <strong>and</strong> <strong>in</strong> eastern <strong>Europe</strong> river floods. Significantreductions <strong>in</strong> costs can be achieved by global <strong>and</strong><strong>Europe</strong>an mitigation policies, consistent with theUNFCCC 2 °C objective, <strong>in</strong> comb<strong>in</strong>ation withadaptation actions.Cost estimates have a medium to good coverage at<strong>Europe</strong>an level for coastal <strong>and</strong> river flood<strong>in</strong>g, watersupply, energy dem<strong>and</strong>, agriculture <strong>and</strong> humanhealth, but for various key sectors cost estimatesare <strong>fr</strong>agmentary or unavailable (<strong>in</strong><strong>fr</strong>astructure,built environment, tourism, transport, forestry). Forbiodiversity <strong>and</strong> ecosystem services cost estimatesare difficult to prepare due to the challenge ofproper valuation. Estimates of the total costs offuture climate <strong>change</strong> on the <strong>Europe</strong>an economy arecurrently not available.Data availability <strong>and</strong> needsThe available data <strong>and</strong> <strong>in</strong>dicators show that climate<strong>change</strong> is occurr<strong>in</strong>g <strong>and</strong> causes a multitude ofdifferent <strong>impacts</strong>. Longer time series <strong>and</strong> greaterspatial coverage of both climate <strong>change</strong> <strong>and</strong> its<strong>impacts</strong> can provide greater <strong>in</strong>sights <strong>in</strong>to processesof <strong>change</strong> <strong>and</strong> a more diversified picture across<strong>Europe</strong>. Actions be<strong>in</strong>g undertaken globally <strong>and</strong><strong>in</strong> <strong>Europe</strong> to improve monitor<strong>in</strong>g of Essential<strong>Climate</strong> Variables (ECVs) <strong>fr</strong>om both <strong>in</strong> situ stations<strong>and</strong> us<strong>in</strong>g satellites are expected to enhancethe knowledge base. In addition on-go<strong>in</strong>g <strong>and</strong>planned actions on reanalysis of <strong>Europe</strong>an climatedata will improve the underst<strong>and</strong><strong>in</strong>g of climate<strong>change</strong>. It is important that the planned actions areimplemented. Currently there is a lack of sufficientobservations of <strong>impacts</strong> of climate <strong>change</strong> onvarious environmental <strong>and</strong> socio‐economic systems<strong>and</strong> on human health. Properly <strong>in</strong>clud<strong>in</strong>g climate<strong>change</strong> impact aspects <strong>in</strong> exist<strong>in</strong>g monitor<strong>in</strong>gsystems can improve the knowledge base neededto develop evidence based adaptation policies <strong>and</strong>actions.<strong>Europe</strong>an wide <strong>in</strong>tegrated climate <strong>change</strong><strong>vulnerability</strong> assessments apply differentmethodologies, <strong>and</strong> the underly<strong>in</strong>g datasets haveimportant limitations. The availability of consistent<strong>and</strong> comparable <strong>in</strong>formation at EU level on scenariosfor key socio‐economic <strong>and</strong> physical variables is<strong>in</strong>complete. Also <strong>Europe</strong>an wide projections of costestimates of <strong>impacts</strong>, <strong>in</strong>clud<strong>in</strong>g damages of extremeweather events, can be improved. On-go<strong>in</strong>g <strong>and</strong>planned EU funded research is expected to improvethis situation.26 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Technical summaryMany <strong>Europe</strong>an countries have performed national<strong>and</strong> sub-national climate <strong>change</strong> <strong>vulnerability</strong><strong>and</strong> risk assessments while several countries havenot yet done so. The comparability of nationalassessments, <strong>in</strong>clud<strong>in</strong>g the national impact<strong>in</strong>dicators, may be improved <strong>in</strong> future for exampleby us<strong>in</strong>g comparable methods <strong>and</strong> climate <strong>and</strong>socio‐economic projections.<strong>Climate</strong> <strong>change</strong> <strong>impacts</strong> <strong>in</strong>dicators are currently onlyto a very limited extent <strong>in</strong>cluded with<strong>in</strong> exist<strong>in</strong>g<strong>and</strong> emerg<strong>in</strong>g <strong>Europe</strong>an thematic <strong>and</strong> sectoral<strong>in</strong>dicator sets, but this should be considered <strong>in</strong>future improvements of these <strong>in</strong>dicator sets. The<strong>in</strong>dicators <strong>in</strong>form<strong>in</strong>g this assessment are based onEU-wide research <strong>and</strong> on global databases. Someselected <strong>in</strong>dicators may <strong>in</strong> the future be based ondata collected <strong>fr</strong>om member countries, e.g. throughthe <strong>Europe</strong>an <strong>Climate</strong> Adaptation Platform<strong>Climate</strong>‐ADAPT (http://climate-adapt.eea.europa.eu)<strong>and</strong>/or through report<strong>in</strong>g of <strong>in</strong>dicators by MemberStates to the <strong>Europe</strong>an Commission <strong>and</strong> the EEA.Map TS.1Key observed <strong>and</strong> projected climate <strong>change</strong> <strong>and</strong> <strong>impacts</strong> for the ma<strong>in</strong> regions <strong>in</strong><strong>Europe</strong>ArcticTemperature rise much larger than globalaverageDecrease <strong>in</strong> Arctic sea ice coverageDecrease <strong>in</strong> Greenl<strong>and</strong> ice sheetDecrease <strong>in</strong> perma<strong>fr</strong>ost areasIncreas<strong>in</strong>g risk of biodiversity lossIntensified shipp<strong>in</strong>g -70° <strong>and</strong> exploitation -60° -50° of oil<strong>and</strong> gas resources-30°-10°10°30°50°60°Northern <strong>Europe</strong>Temperature rise much larger than global averageDecrease <strong>in</strong> snow, lake <strong>and</strong> river ice coverIncrease <strong>in</strong> river flowsNorthward movement of speciesIncrease <strong>in</strong> crop yieldsDecrease <strong>in</strong> energy dem<strong>and</strong> for heat<strong>in</strong>g70° 80°90°Increase <strong>in</strong> hydropower potentialIncreas<strong>in</strong>g damage risk <strong>fr</strong>om w<strong>in</strong>ter stormsIncrease <strong>in</strong> summer tourismNorth-western <strong>Europe</strong>Increase <strong>in</strong> w<strong>in</strong>terprecipitation60°Increase <strong>in</strong> river flowNorthward movement ofspeciesDecrease <strong>in</strong> energy dem<strong>and</strong>for heat<strong>in</strong>gIncreas<strong>in</strong>g risk of river <strong>and</strong>coastal flood<strong>in</strong>gMounta<strong>in</strong> areasTemperature rise larger than <strong>Europe</strong>an averageIncrease <strong>in</strong> glacier extent <strong>and</strong> volumeDecrease <strong>in</strong> mounta<strong>in</strong> perma<strong>fr</strong>ost areasUpward shift of plant <strong>and</strong> animal speciesHigh risk of species ext<strong>in</strong>ction 50° <strong>in</strong> Alp<strong>in</strong>e regionsIncreas<strong>in</strong>g risk of soil erosionDecrease <strong>in</strong> ski tourismCoastal zones <strong>and</strong>regional seas50°Sea-level riseIncrease <strong>in</strong> sea surfacetemperaturesIncrease <strong>in</strong> ocean acidityNorthward expansion of fish<strong>and</strong> plankton speciesChanges <strong>in</strong> phytoplanktoncommunitiesIncreas<strong>in</strong>g risk 40° for fish stocksCentral <strong>and</strong> eastern <strong>Europe</strong>Increase <strong>in</strong> warm temperature extremesDecrease <strong>in</strong> summer precipitationIncrease <strong>in</strong> water temperatureIncreas<strong>in</strong>g risk of forest fire40°Decrease <strong>in</strong> economic value of forests30°30°Mediterranean regionTemperature rise larger than -10° <strong>Europe</strong>an average 0°Decrease <strong>in</strong> annual precipitationDecrease <strong>in</strong> annual river flowIncreas<strong>in</strong>g risk of biodiversity lossIncreas<strong>in</strong>g risk of desertificationIncreas<strong>in</strong>g 10° water dem<strong>and</strong> 20° for agriculture 30°Decrease <strong>in</strong> crop yieldsIncreas<strong>in</strong>g risk of forest fireIncrease <strong>in</strong> mortality <strong>fr</strong>om heat wavesExpansion of 40° habitats for southerndisease vectorsDecrease <strong>in</strong> hydropower potentialDecrease <strong>in</strong> summer tourism <strong>and</strong>potential <strong>in</strong>crease <strong>in</strong> other seasonsNote:Information covers both observed <strong>and</strong> projected <strong>change</strong>s (see text <strong>and</strong> Table TS.2 for details).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201227


Technical summaryTable TS.2 Key observed (O) <strong>and</strong> projected (P) climate <strong>change</strong> <strong>and</strong> <strong>impacts</strong> for the ma<strong>in</strong>regions <strong>in</strong> <strong>Europe</strong>Northern<strong>Europe</strong>(<strong>in</strong>cl.Arctic)Northwestern<strong>Europe</strong>Central <strong>and</strong>eastern<strong>Europe</strong>Mediterraneanregion<strong>Europe</strong>anaverageSection Indicator/topic Variable O P O P O P O P O P2 Changes <strong>in</strong> the climatesystem2.2 Key climate variables2.2.2 Global <strong>and</strong> <strong>Europe</strong>anTemperature + + + + + + + +Temperature2.2.3 Temperature extremes (Warm) Frequency + + + + + + + +2.2.3 Temperature extremes (Cold) Frequency – – – – – – – –2.2.4 Mean precipitation Precipitation + + + (+) o (+) – –2.2.5 Precipitation extremes (Wet) Duration/Amount (+) + (+) + o + (–) +2.2.5 Precipitation extremes (Dry) Duration ± (+) o (+)2.2.6 Storms W<strong>in</strong>d speed + (+) + (+) (+) (+) o (–)2.3 Cryosphere2.3.2 Snow cover Duration/amount ± ± – – (–) (–) (–) –2.3.3 Greenl<strong>and</strong> ice sheet Mass – –2.3.4 Glaciers Mass ± (–) – – – –2.3.5 Perma<strong>fr</strong>ost Active layer depth + + + +2.3.6 Arctic <strong>and</strong> Baltic sea ice See below3 <strong>Climate</strong> <strong>impacts</strong> onenvironmental systems3.1 Oceans <strong>and</strong> mar<strong>in</strong>eSee belowenvironment3.2 Coastal zones3.2.2 Sea-level rise Mean sea level + + + + + + (+) (+)(excl. l<strong>and</strong>movement)3.2.3 Storm surges Surge height (+) (+) o (+) o (+) o –(<strong>in</strong> addition tomean sea level)3.3 Inl<strong>and</strong> waters3.3.2 River flow Mean flow + + (+) + ± ± – –3.3.3 River floods Maximum flow ± + + ± ±3.3.4 River flow drought M<strong>in</strong>imum flow o + o – o ± o –3.3.5 Water temperature Temperature + + + + + + + +3.3.6 Lake <strong>and</strong> river ice cover Duration – – – – – – – –3.4 Terrestrial ecosystems <strong>and</strong>biodiversity3.4.2 Plant <strong>and</strong> fungi phenology Day of year(spr<strong>in</strong>g/summer)3.4.3 Animal phenology Day of year(spr<strong>in</strong>g/summer)3.4.4 Distribution of plant species Latitude <strong>and</strong>altitude3.4.5 Distribution <strong>and</strong> abundance ofanimal species3.5 SoilLatitude <strong>and</strong>altitude– –– –+ ++ +3.5.2 Soil organic carbon Carbon content +4 <strong>Climate</strong> <strong>impacts</strong> onsocio‐economic systems <strong>and</strong>health4.1 Agriculture4.1.2 Grow<strong>in</strong>g season for agricultural Duration (+) + (+) (+) +crops4.1.3 Agrophenology Day of year – – – – – – – –4.1.4 Water-limited crop productivity Yield + + ± ± ± – (–)4.1.5 Irrigation water requirement Waterrequirement(–) o (+) ± (+)28 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Introduction1 Introduction1.1 Purpose <strong>and</strong> outl<strong>in</strong>eThis report presents an <strong>in</strong>dicator-based assessmentof past <strong>and</strong> projected climate <strong>change</strong>s, theirobserved <strong>and</strong> projected <strong>impacts</strong>, <strong>and</strong> the associated<strong>vulnerability</strong> ( 1 ) of <strong>and</strong> risks to society, humanhealth <strong>and</strong> ecosystems <strong>in</strong> <strong>Europe</strong>. The report can beregarded as an updated <strong>and</strong> extended version of the2008 report 'Impacts of <strong>Europe</strong>'s chang<strong>in</strong>g climate —2008 <strong>in</strong>dicator-based assessment' ( 2 ).The ma<strong>in</strong> objectives of this 'climate <strong>change</strong>, <strong>impacts</strong><strong>and</strong> <strong>vulnerability</strong>' report are to:• present past <strong>and</strong> projected climate <strong>change</strong> <strong>and</strong><strong>impacts</strong> through <strong>in</strong>dicators;• identify sectors <strong>and</strong> regions most at risk;• highlight the need for adaptation actions;• identify ma<strong>in</strong> sources of uncerta<strong>in</strong>ty;• demonstrate how monitor<strong>in</strong>g <strong>and</strong> scenariodevelopment can improve the knowledge base.This report is structured as follows. This chapter• describes the l<strong>in</strong>ks to other reports (Section 1.2);• presents the relevant <strong>in</strong>ternational <strong>and</strong> EU policy<strong>fr</strong>ameworks (Section 1.3);• discusses the role of <strong>in</strong>dicators on climate<strong>change</strong>, <strong>impacts</strong>, <strong>vulnerability</strong> <strong>and</strong> adaptation(Section 1.4);• expla<strong>in</strong>s the emissions scenarios <strong>and</strong>socio‐economic scenarios underly<strong>in</strong>g projectionsfor the future (Section 1.5);• outl<strong>in</strong>es how uncerta<strong>in</strong>ty is addressed <strong>in</strong> thisreport (Section 1.6);• expla<strong>in</strong>s the use of the terms '<strong>vulnerability</strong>' <strong>and</strong>'risk' <strong>in</strong> this report as well as <strong>in</strong> the underly<strong>in</strong>gliterature (Section 1.7).Chapters 2, 3 <strong>and</strong> 4 constitute the ma<strong>in</strong> part ofthis report. They describe observed <strong>and</strong> projectedclimate <strong>change</strong> <strong>and</strong> its <strong>impacts</strong> <strong>in</strong> <strong>Europe</strong> bymeans of about 40 <strong>in</strong>dicators. These <strong>in</strong>dicators willalso be <strong>in</strong>cluded <strong>and</strong> presented <strong>in</strong> the <strong>Europe</strong>anEnvironment Agency (EEA) <strong>in</strong>dicator managementsystem ( 3 ) <strong>and</strong> the <strong>Europe</strong>an <strong>Climate</strong> AdaptationPlatform (<strong>Climate</strong>-ADAPT) (see Section 1.2.5).Chapter 2 presents <strong>in</strong>formation on the climatesystem:• Overview of the climate system <strong>and</strong> the human<strong>in</strong>fluence on it (Section 2.1);• Key climate variables (Section 2.2);• Cryosphere: glaciers, snow <strong>and</strong> ice (Section 2.3).Chapter 3 presents <strong>in</strong>formation on climate <strong>change</strong><strong>impacts</strong> on environmental systems:• Oceans <strong>and</strong> mar<strong>in</strong>e environment (Section 3.1);• Coastal zones (Section 3.2);• Freshwater quantity <strong>and</strong> quality (Section 3.3);• Terrestrial ecosystems <strong>and</strong> biodiversity(Section 3.4);• Soil (Section 3.5).( 1 ) For an explanation of the terms '<strong>vulnerability</strong>' <strong>and</strong> 'risk', <strong>and</strong> their use <strong>in</strong> this report, see Section 1.7.( 2 ) See http://www.eea.europa.eu/publications/eea_report_2008_4.( 3 ) See http://www.eea.europa.eu/themes/climate/<strong>in</strong>dicators#c7=all&c5=all&c10=&c13=20&b_start=0.30<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


IntroductionIt should be noted that mounta<strong>in</strong>s are not covered<strong>in</strong> a separate section, but relevant <strong>in</strong>formationis <strong>in</strong>cluded with<strong>in</strong> some of the abovementionedsections (e.g. on biodiversity).Chapter 4 presents <strong>in</strong>formation on climate <strong>change</strong><strong>impacts</strong> on socio‐economic sectors <strong>and</strong> systems, <strong>and</strong>on human health:• Agriculture (Section 4.1);• Forests <strong>and</strong> forestry (Section 4.2);• Fisheries <strong>and</strong> aquaculture (Section 4.3);• Human health (Section 4.4);• Energy (Section 4.5);• Transport services <strong>and</strong> <strong>in</strong><strong>fr</strong>astructure(Section 4.6);• Tourism (Section 4.7).The selection of socio‐economic sectors <strong>and</strong> systemscovered <strong>in</strong> this report is based on several criteria,<strong>in</strong>clud<strong>in</strong>g the relevance of climate <strong>change</strong>, theavailability of EU-wide quantitative <strong>in</strong>formation,<strong>and</strong> the importance of EU policies. Ma<strong>in</strong>ly due tolack of such <strong>in</strong>formation some sectors, systems<strong>and</strong> issues are not covered, <strong>in</strong>clud<strong>in</strong>g <strong>in</strong>dustry <strong>and</strong>manufactur<strong>in</strong>g, <strong>in</strong>surance, <strong>in</strong><strong>fr</strong>astructure (exceptfor transport <strong>in</strong><strong>fr</strong>astructure), livestock production<strong>and</strong> cultural heritage. However, hard-to-quantify<strong>and</strong> immaterial <strong>impacts</strong> of climate <strong>change</strong> (suchas aesthetic <strong>change</strong>s <strong>and</strong> <strong>change</strong>s <strong>in</strong> personalwell‐be<strong>in</strong>g) are not systematically covered becausemean<strong>in</strong>gful <strong>in</strong>dicators are not available. Also,<strong>in</strong>formation on <strong>change</strong>s <strong>in</strong> migration of peoplewith<strong>in</strong> <strong>and</strong> to the EU due to climate <strong>change</strong> is not<strong>in</strong>cluded because of a lack of evidence.The <strong>in</strong>dicators <strong>in</strong> Chapters 2, 3 <strong>and</strong> 4 provide<strong>in</strong>formation on climate <strong>change</strong>s <strong>and</strong> their <strong>impacts</strong><strong>and</strong> give an <strong>in</strong>dication of where, to what extent <strong>and</strong><strong>in</strong> which sectors <strong>Europe</strong> is vulnerable to climate<strong>change</strong>, now <strong>and</strong> <strong>in</strong> the future. An importantquestion is to which future climate <strong>change</strong> theEU should adapt. S<strong>in</strong>ce future levels of greenhousegas (GHG) emissions <strong>and</strong> associated global climate<strong>change</strong> are uncerta<strong>in</strong>, this report provides impactprojections for a range of emissions scenarios,where available. This allows the user of the reportto <strong>in</strong>terpret which <strong>impacts</strong> may need to be avoided.The projections shown are for different timehorizons <strong>in</strong> the 21st century depend<strong>in</strong>g on available<strong>in</strong>formation for each <strong>in</strong>dicator (for details seeTable 1.3).Information for each <strong>in</strong>dicator comprises keymessages, an explanation of its environmental <strong>and</strong>policy relevance, <strong>and</strong> an analysis of past trends<strong>and</strong> future projections, where available. Dataquality issues <strong>and</strong> ma<strong>in</strong> uncerta<strong>in</strong>ties are generallydiscussed for a group of <strong>in</strong>dicators together. Somesections also present relevant <strong>in</strong>formation onclimate <strong>impacts</strong> on specific sectors even thoughdata availability <strong>and</strong> quality does not currentlyallow develop<strong>in</strong>g an EEA <strong>in</strong>dicator based on this<strong>in</strong>formation.Chapter 5 presents <strong>in</strong>formation on the current <strong>and</strong>projected <strong>vulnerability</strong> ( 4 ) of regions <strong>and</strong> sectorsto climate <strong>change</strong>, also tak<strong>in</strong>g <strong>in</strong>to account future<strong>change</strong>s <strong>in</strong> demography <strong>and</strong> socio‐economicconditions. It also covers <strong>vulnerability</strong> <strong>in</strong> cities. Inaddition, selected <strong>in</strong>formation on economic losses<strong>fr</strong>om past weather <strong>and</strong> climate-related events<strong>and</strong> <strong>fr</strong>om projected climate <strong>change</strong> is presented.Information <strong>in</strong> Chapter 5 is generally not presented<strong>in</strong> the form of EEA <strong>in</strong>dicators.Chapter 6 identifies <strong>in</strong>dicator <strong>and</strong> data needs <strong>and</strong>presents key actions <strong>and</strong> programmes aimed ataddress<strong>in</strong>g these needs.F<strong>in</strong>ally, Chapter 7 presents the abbreviations <strong>and</strong>acronyms used throughout this report.This report was prepared with contributions<strong>fr</strong>om many experts <strong>and</strong> organisations <strong>in</strong>clud<strong>in</strong>gthe World Health Organization Regional Officefor <strong>Europe</strong> (WHO/<strong>Europe</strong>), the <strong>Europe</strong>an Centreof Disease Prevention <strong>and</strong> Control (ECDC), the<strong>Europe</strong>an Commission's Jo<strong>in</strong>t Research Centre(JRC), <strong>and</strong> various <strong>Europe</strong>an Topic Centres (ETCs),funded by the EEA (<strong>Europe</strong>an Topic Centreon <strong>Climate</strong> Change <strong>impacts</strong>, <strong>vulnerability</strong> <strong>and</strong>Adaptation, ETC/CCA; <strong>Europe</strong>an Topic Centreon Inl<strong>and</strong>, Coastal <strong>and</strong> Mar<strong>in</strong>e waters, ETC/ICM;ETC on Biological Diversity, ETC/BD).( 4 ) For an explanation of the terms '<strong>vulnerability</strong>' <strong>and</strong> 'risk', <strong>and</strong> their use <strong>in</strong> this report, see Section 1.7.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201231


Introduction1.2 Scope <strong>and</strong> l<strong>in</strong>k to other EU <strong>and</strong> EEAactivities <strong>and</strong> products1.2.1 ScopeThis report provides comprehensive <strong>in</strong>dicator‐based<strong>in</strong>formation cover<strong>in</strong>g all ma<strong>in</strong> categories of climate<strong>impacts</strong> (with some exceptions as described above<strong>in</strong> Section 1.1). Where feasible, <strong>in</strong>dicators cover allof <strong>Europe</strong> (the 32 member countries of the EEA).However, for some <strong>in</strong>dicator categories for whichno <strong>Europe</strong>-wide data were available (e.g. forecosystem‐related <strong>in</strong>dicators), <strong>in</strong>dicators havebeen selected <strong>and</strong> presented for fewer countries.Furthermore, some <strong>in</strong>dicators have only limitedgeographical relevance (e.g. glaciers) <strong>and</strong> <strong>in</strong> suchcases the aim was for full coverage of the relevantcountries.Key terms used to assess <strong>and</strong> communicate theeffects of climate <strong>change</strong> emphasise adverse<strong>impacts</strong> (e.g. <strong>vulnerability</strong> <strong>and</strong> risk; see Section 1.7),which may wrongly suggest that all <strong>impacts</strong>are adverse, while <strong>in</strong> fact some <strong>impacts</strong> maybe beneficial. The emphasis <strong>in</strong> this report onadverse <strong>impacts</strong> has two reasons. Firstly, <strong>and</strong>most importantly, adverse <strong>and</strong> beneficial <strong>impacts</strong>have rather different policy implications. Adverse<strong>impacts</strong> generally call for anticipatory, plannedadaptation (e.g. <strong>in</strong>creas<strong>in</strong>g risk management efforts<strong>in</strong> order to ma<strong>in</strong>ta<strong>in</strong> current risk levels underprojected climate <strong>change</strong>), whereas the benefits ofclimate <strong>change</strong> can often be brought <strong>in</strong> by reactiveadaptation (e.g. reduc<strong>in</strong>g risk management effortsthat turn out to be no longer needed after observ<strong>in</strong>gclimate <strong>change</strong>). Secondly, on balance most climate<strong>change</strong> <strong>impacts</strong> presented <strong>in</strong> this report areprojected to be adverse. However, the level of the<strong>impacts</strong> depends on the time horizon <strong>and</strong> scenario.1.2.2 Data sourcesThere is no report<strong>in</strong>g of climate <strong>change</strong> <strong>impacts</strong> <strong>and</strong><strong>vulnerability</strong> data <strong>and</strong> <strong>in</strong>formation <strong>fr</strong>om EU MemberStates to the <strong>Europe</strong>an Commission or EEA. Some<strong>in</strong>formation is available <strong>in</strong> national communicationsto the United Nations Framework Convention on <strong>Climate</strong>Change (UNFCCC), but this cannot be used forprepar<strong>in</strong>g comparable quantitative <strong>in</strong>dicators acrossEEA member countries (see also Section 1.3.1).Thus the <strong>in</strong>dicators presented <strong>in</strong> this report arebased on data <strong>fr</strong>om <strong>in</strong> situ <strong>and</strong> satellite monitor<strong>in</strong>gprogrammes, <strong>fr</strong>om national <strong>and</strong> EU researchprogrammes <strong>and</strong> <strong>fr</strong>om a few global databases.Various EU research programmes (e.g. Sixth <strong>and</strong>Seventh Framework Programmes (FP6 <strong>and</strong> FP7,respectively) ( 5 )) have developed knowledgeover the past years <strong>and</strong> <strong>in</strong>formation <strong>fr</strong>om theseprogrammes has been <strong>in</strong>cluded to the extent feasible<strong>in</strong> this report. However, there are still many gaps<strong>in</strong> the data <strong>and</strong> coverage across <strong>Europe</strong> <strong>and</strong> overtime. Chapter 6 gives an overview of ma<strong>in</strong> data gaps<strong>and</strong> needs. Section 7.2 provides an (<strong>in</strong>complete)overview of those research projects that havecontributed significantly to the <strong>in</strong>dicators presented<strong>in</strong> this report.1.2.3 L<strong>in</strong>ks to other reportsThe report builds on various previous EEA reports,<strong>in</strong>clud<strong>in</strong>g the 'State of the Environment <strong>and</strong> Outlookreport 2010' <strong>and</strong> its thematic assessments on climate<strong>change</strong> <strong>and</strong> on <strong>impacts</strong>, <strong>vulnerability</strong> <strong>and</strong> adaptation(EEA, 2010a; b), a technical report on natural (<strong>and</strong>technological) disasters (EEA, 2011) <strong>and</strong> variousreports <strong>fr</strong>om the JRC, WHO/<strong>Europe</strong> <strong>and</strong> ECDC.Furthermore, this report is consistent with thefollow<strong>in</strong>g EEA reports published <strong>in</strong> 2012:• Urban adaptation to climate <strong>change</strong> <strong>in</strong> <strong>Europe</strong>(EEA, 2012);• 'Water resources <strong>in</strong> <strong>Europe</strong> <strong>in</strong> the context of<strong>vulnerability</strong>' (to be published autumn 2012);• 'State of coasts <strong>in</strong> <strong>Europe</strong>' (<strong>in</strong> preparation).The report furthermore aims to achieve consistency,to the extent feasible, with the IntergovernmentalPanel on <strong>Climate</strong> Change (IPCC) Special Reporton 'Manag<strong>in</strong>g the Risks of Extreme Events <strong>and</strong>Disasters to Advance <strong>Climate</strong> Change Adaptation(SREX)' (IPCC, 2012), the IPCC Fifth AssessmentReport (AR5) (see Box 1.1), a 'PESETA II' report<strong>fr</strong>om JRC (which however was not yet publishedby autumn 2012), a follow-up <strong>fr</strong>om 'PESETA I'(Projection of Economic <strong>impacts</strong> of climate <strong>change</strong><strong>in</strong> Sectors of the <strong>Europe</strong>an Union based onboTtom‐up Analysis) (Ciscar et al., 2009, 2011), <strong>and</strong>a forthcom<strong>in</strong>g WHO/<strong>Europe</strong> report on 'The healtheffects of climate <strong>change</strong> <strong>in</strong> the <strong>Europe</strong>an Union:evidence for action' ( 6 ).( 5 ) See http://ec.europa.eu/research/environment/<strong>in</strong>dex_en.cfm?pg=climate.( 6 ) See http://ec.europa.eu/health/<strong>in</strong>dicators/other_<strong>in</strong>dicators/environment/<strong>in</strong>dex_en.htm.32 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


IntroductionBox 1.1The IPCC Fifth Assessment ReportThe IPCC Fourth Assessment Report (IPCC, 2007a; b; c; d) was published <strong>in</strong> 2007. The Intergovernmental Panelon <strong>Climate</strong> Change (IPCC) is currently produc<strong>in</strong>g its Fifth Assessment Report (AR5), which consists of four volumesto be published <strong>in</strong> 2013 <strong>and</strong> 2014 ( 7 ).The IPCC Work<strong>in</strong>g Group I (The Physical Science Basis) will publish its assessment <strong>in</strong> September 2013, while theIPCC Work<strong>in</strong>g Group II (Impacts, Adaptation <strong>and</strong> Vulnerability) will publish its assessment <strong>in</strong> March 2014. Thereport conta<strong>in</strong>s, amongst others, chapters address<strong>in</strong>g regions <strong>and</strong> thus <strong>in</strong> particular the WGII report's chapter on<strong>Europe</strong> is relevant.Regard<strong>in</strong>g the Arctic several major assessmentreports on the <strong>impacts</strong> of climate <strong>change</strong> <strong>and</strong> onbiodiversity have been published over the pastyears. These <strong>in</strong>clude the report 'Snow, Water, Ice<strong>and</strong> Perma<strong>fr</strong>ost <strong>in</strong> the Arctic' (AMAP, 2011) <strong>and</strong> thereport 'Arctic Biodiversity Assessment — ArcticBiodiversity Trends 2010: Selected <strong>in</strong>dicators of<strong>change</strong>' (Barry et al., 2010). Therefore, this EEAreport does not provide a comprehensive assessmentof climate <strong>change</strong> <strong>impacts</strong> <strong>in</strong> the Arctic <strong>and</strong> refersto these exist<strong>in</strong>g assessments, although the reportdoes conta<strong>in</strong> a few relevant <strong>in</strong>dicators (e.g. on Arcticsea ice).1.2.4 Report on adaptation <strong>in</strong> <strong>Europe</strong>In parallel to this report, a second report ispublished by EEA, cover<strong>in</strong>g adaptation <strong>in</strong> <strong>Europe</strong>.Adaptation is understood as anticipat<strong>in</strong>g theadverse effects of climate <strong>change</strong> <strong>and</strong> tak<strong>in</strong>gappropriate action to prevent or m<strong>in</strong>imise thedamage they can cause. This second report presentsthe emerg<strong>in</strong>g <strong>Europe</strong>an, national <strong>and</strong> subnationaladaptation actions across <strong>Europe</strong>. The report will<strong>in</strong>clude case studies of implemented adaptationmeasures to illustrate the size of the adaptationchallenge, provide examples of successful actionsat various scales <strong>and</strong> lessons to be learned onadaptation actions at the <strong>Europe</strong>an level. It also<strong>in</strong>cludes a brief comparison on transnational <strong>and</strong>national adaptation strategies <strong>and</strong> actions <strong>in</strong> <strong>Europe</strong>.1.2.5 <strong>Europe</strong>an <strong>Climate</strong> Adaptation Platform(<strong>Climate</strong>-ADAPT)The <strong>in</strong>formation <strong>in</strong> the two EEA reports on climate<strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>and</strong> on adaptationis supported by <strong>in</strong>formation <strong>in</strong> <strong>Climate</strong>-ADAPT ( 8 ),which is a publicly accessible, web-based platform,designed to support policymakers at EU, national,regional <strong>and</strong> local levels <strong>in</strong> the development ofclimate <strong>change</strong> adaptation measures <strong>and</strong> policies.<strong>Climate</strong>-ADAPT is hosted <strong>and</strong> managed by the EEA,<strong>in</strong> collaboration with the <strong>Europe</strong>an Commission.The website will be cont<strong>in</strong>uously updated withnew <strong>in</strong>formation, for example <strong>fr</strong>om EU researchprojects, transnational projects, <strong>and</strong> national <strong>and</strong>local authorities. <strong>Climate</strong>-ADAPT is related to otherrelevant <strong>Europe</strong>an <strong>in</strong>formation systems <strong>in</strong>clud<strong>in</strong>gthe Biodiversity Information System for <strong>Europe</strong> ( 9 ),the Water Information System for <strong>Europe</strong> ( 10 ) <strong>and</strong> thel<strong>and</strong> use data centre ( 11 ).1.3 Background <strong>and</strong> policy <strong>fr</strong>amework1.3.1 Global climate <strong>change</strong> mitigation <strong>and</strong>adaptation policiesThe threat of climate <strong>change</strong> is be<strong>in</strong>g addressedglobally by the UNFCCC. Its long-term objectiveis 'to stabilise atmospheric greenhouse gasconcentrations at a level that would preventdangerous anthropogenic <strong>in</strong>terference with theclimate system. Such a level should be achievedwith<strong>in</strong> a time <strong>fr</strong>ame sufficient to allow ecosystemsto adapt naturally to climate <strong>change</strong>, to ensure thatfood production is not threatened <strong>and</strong> to enableeconomic development to proceed <strong>in</strong> a susta<strong>in</strong>ablemanner.'The UNFCCC has agreed, through the CopenhagenAccord of December 2009, to limit the global meantemperature <strong>in</strong>crease s<strong>in</strong>ce pre-<strong>in</strong>dustrial times ( 12 )to less than 2 °C (the '2 °C target'). The 2 °C targetwill be reviewed <strong>in</strong> 2015, based on new scientific<strong>in</strong>sights, to consider a possible goal of limit<strong>in</strong>g the( 7 ) See http://www.ipcc.ch/activities/activities.shtml.( 8 ) See http://climate-adapt.eea.europa.eu.( 9 ) See http://biodiversity.europa.eu.( 10 ) See http://water.europa.eu.( 11 ) See http://www.eea.europa.eu/highlights/themes/l<strong>and</strong>use/dc.( 12 ) Pre-<strong>in</strong>dustrial be<strong>in</strong>g def<strong>in</strong>ed as 1850–1899.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201233


Introductionglobal temperature <strong>in</strong>crease to 1.5 °C (UNFCCC,2009).To achieve the '2 °C target substantial globalreductions are needed of GHG emissions ('climate<strong>change</strong> mitigation'). However, with the currentlyimplemented <strong>and</strong> planned global <strong>and</strong> <strong>Europe</strong>anactions to reduce GHG emissions the averagetemperature <strong>in</strong>crease could be well above + 2 °Cby 2100. Even with achievement of the + 2 °C goal,many <strong>impacts</strong> are projected to occur globally <strong>and</strong><strong>in</strong> <strong>Europe</strong>. Thus adaptation to climate <strong>change</strong> isneeded <strong>in</strong> addition to mitigation of climate <strong>change</strong>.The UNFCCC Copenhagen Accord of December2009 recognised the need for enhanced actionon adaptation to reduce <strong>vulnerability</strong> <strong>and</strong> buildresilience <strong>in</strong> the most vulnerable develop<strong>in</strong>gcountries. In a Fast Start F<strong>in</strong>ance programmedeveloped countries pledged to provide new <strong>and</strong>additional resources approach<strong>in</strong>g USD 30 billionfor the period 2010–2012 with balanced allocationbetween mitigation <strong>and</strong> adaptation. Long-termf<strong>in</strong>ance of USD 100 billion annually by 2020 <strong>fr</strong>omthe developed countries was also agreed. TheEU has pledged to contribute EUR 2.4 billion/year <strong>in</strong>2010–2012 <strong>and</strong> with its fair share <strong>in</strong> the longer term<strong>in</strong>ternational f<strong>in</strong>anc<strong>in</strong>g by 2020.The Cancún Agreements, adopted at the UN <strong>Climate</strong>Conference <strong>in</strong> Mexico (December 2010), establisheda Green <strong>Climate</strong> Fund through which much of thefund<strong>in</strong>g will be channelled. A Cancún AdaptationFramework (UNFCCC, 2011) was established withthe objective of enhanc<strong>in</strong>g action on adaptation, <strong>and</strong>has a specific focus on develop<strong>in</strong>g countries. TheEU encourages the Adaptation Framework to enableLeast Developed Countries (LDCs) to formulate <strong>and</strong>implement national adaptation plans.The 'Durban Platform for Enhanced Action',adopted at the United Nations (UN) conference<strong>in</strong> South A<strong>fr</strong>ica (UNFCCC, 2012), agreed on aroadmap towards a new 'protocol, another legal<strong>in</strong>strument or an agreed outcome with legalforce' by 2015, applicable to all Parties to theUN climate convention. It also foresees a secondcommitment period of the Kyoto Protocol, start<strong>in</strong>g<strong>in</strong> 2013. Agreement was reached on the design<strong>and</strong> governance arrangements for the new Green<strong>Climate</strong> Fund. It also agreed on the composition(<strong>in</strong>clud<strong>in</strong>g the EU) <strong>and</strong> a list of activities for theAdaptation Committee.The Nairobi work programme (NWP ( 13 )) of theUNFCCC has as its objective to assist all countries,but <strong>in</strong> particular develop<strong>in</strong>g countries, to improvetheir underst<strong>and</strong><strong>in</strong>g <strong>and</strong> assessment of <strong>impacts</strong>,<strong>vulnerability</strong> <strong>and</strong> adaptation to climate <strong>change</strong>, <strong>and</strong>to make decisions on practical adaptation actions<strong>and</strong> measures on a sound scientific, technical<strong>and</strong> socio‐economic basis. The EU supports theprogramme.The UNFCCC requires all Parties to prepare <strong>and</strong>report 'National Communications' every three to fiveyears ( 14 ). On climate <strong>change</strong> <strong>impacts</strong>, <strong>vulnerability</strong><strong>and</strong> adaptation the current guidance for developedcountries <strong>in</strong>cludes report<strong>in</strong>g on actions with<strong>in</strong> thecountry, assistance to develop<strong>in</strong>g country Parties,<strong>and</strong> on research <strong>and</strong> systematic observation. Theguidance on report<strong>in</strong>g leaves, however, muchflexibility. EU Member States as well as theEU (prepared by the <strong>Europe</strong>an Commission) havereported their fifth NC ( 15 ). However, s<strong>in</strong>ce there waslimited quantitative <strong>and</strong> comparable (across <strong>Europe</strong>)<strong>in</strong>formation <strong>in</strong> these reports on climate <strong>change</strong><strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> these have not been usedfor the preparation of this report.1.3.2 EU White Paper on Adaptation <strong>and</strong>follow‐up processThe rationale for a need to take action on climate<strong>change</strong> adaptation at the EU level is:• many climate <strong>change</strong> <strong>impacts</strong> <strong>and</strong> adaptationmeasures have cross-border dimensions;• climate <strong>impacts</strong> <strong>and</strong> adaptation affect s<strong>in</strong>glemarket <strong>and</strong> common policies;• climate <strong>change</strong> vulnerabilities <strong>and</strong> adaptationtrigger a new <strong>fr</strong>amework for solidarity;• EU programmes could complement MemberStates' resources for adaptation;• potential economies of scale can be significantfor capacity build<strong>in</strong>g, research, <strong>in</strong>formation <strong>and</strong>data gather<strong>in</strong>g, <strong>and</strong> knowledge transfer.The Adaptation White Paper (2009) focused on fourpillars to reduce the EU's <strong>vulnerability</strong> <strong>and</strong> improveits resilience:( 13 ) See http://unfccc.<strong>in</strong>t/adaptation/nairobi_work_programme/items/3633.php.( 14 ) See http://unfccc.<strong>in</strong>t/national_reports/annex_i_natcom_/items/1095.php.( 15 ) See http://unfccc.<strong>in</strong>t/national_reports/annex_i_natcom/submitted_natcom/items/4903.php.34 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Introduction1. develop <strong>and</strong> improve the knowledge baseat regional level on climate <strong>change</strong> <strong>impacts</strong>,vulnerabilities mapp<strong>in</strong>g, costs <strong>and</strong> benefits ofadaptation measures to <strong>in</strong>form policies at alllevels of decision-mak<strong>in</strong>g;2. <strong>in</strong>tegrate adaptation <strong>in</strong>to EU policies;3. use a comb<strong>in</strong>ation of policy <strong>in</strong>struments —market-based <strong>in</strong>struments, guidel<strong>in</strong>es <strong>and</strong>public-private partnerships (PPPs) — to ensureeffective delivery of adaptation;4. work <strong>in</strong> partnership with the Member States<strong>and</strong> strengthen <strong>in</strong>ternational cooperation onadaptation by ma<strong>in</strong>stream<strong>in</strong>g adaptation <strong>in</strong>tothe EU's external policies.A range of concrete <strong>in</strong>itiatives have taken places<strong>in</strong>ce 2009 to <strong>in</strong>tegrate <strong>and</strong> ma<strong>in</strong>stream adaptation<strong>in</strong>to EU sectoral policies, for example related towater resources; mar<strong>in</strong>e environment; coastal areas;biodiversity; agriculture; forestry; <strong>in</strong><strong>fr</strong>astructure,urban environment, environmental assessment<strong>and</strong> disaster risk reduction. In the EEA report onadaptation <strong>in</strong> <strong>Europe</strong> these ma<strong>in</strong>stream<strong>in</strong>g actionsare described <strong>in</strong> detail. In addition, the <strong>Europe</strong>an<strong>Climate</strong>-ADAPT provides an overview of ma<strong>in</strong>policy developments to <strong>in</strong>tegrate adaptation <strong>in</strong>toEU sector policies ( 16 ).The <strong>Europe</strong>an Commission is work<strong>in</strong>g on a<strong>Europe</strong>an Adaptation Strategy, due <strong>in</strong> 2013, whichis further described <strong>in</strong> the EEA adaptation report.Ma<strong>in</strong>stream<strong>in</strong>g of climate <strong>change</strong> is also a criticalelement of the draft 2014–2020 Multi-annualF<strong>in</strong>ancial Framework, which <strong>in</strong>cludes a proposal for<strong>in</strong>creas<strong>in</strong>g the share of climate-related expenditure(i.e. for climate <strong>change</strong> mitigation <strong>and</strong> adaptationas a whole) to at least 20 % of the EU budget (aboutEUR 200 billion) ( 17 ).Indicators of climate <strong>change</strong> <strong>impacts</strong> <strong>and</strong><strong>vulnerability</strong> <strong>and</strong> analyses of adaptation areneeded to support ma<strong>in</strong>stream<strong>in</strong>g adaptation<strong>in</strong> EU sector policies <strong>and</strong> <strong>in</strong> develop<strong>in</strong>g,implement<strong>in</strong>g <strong>and</strong> evaluat<strong>in</strong>g adaptation policyactions <strong>and</strong> <strong>in</strong>struments. The two EEA reports(on climate <strong>change</strong> <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>and</strong>on adaptation) aim to be relevant for EU policydevelopment <strong>and</strong> implementation but also fornational <strong>and</strong> regional authorities <strong>and</strong> stakeholdersbe<strong>in</strong>g <strong>in</strong>volved <strong>in</strong> either plann<strong>in</strong>g adaptation orimplement<strong>in</strong>g actions.1.4 <strong>Climate</strong> <strong>change</strong>, impact,<strong>vulnerability</strong> <strong>and</strong> adaptation<strong>in</strong>dicators1.4.1 Types <strong>and</strong> def<strong>in</strong>itions of <strong>in</strong>dicatorsThe <strong>in</strong>dicators presented <strong>in</strong> this report have broadlydifferent ma<strong>in</strong> purposes (see Table 1.1), <strong>and</strong> are<strong>in</strong> different stages of development <strong>and</strong> usage,due to methodological challenges <strong>and</strong> often largeuncerta<strong>in</strong>ties.<strong>Climate</strong> <strong>change</strong> refers to any <strong>change</strong> <strong>in</strong> climate overtime, whether due to natural variability or as a resultof human activity (IPCC, 2007a).<strong>Climate</strong> <strong>change</strong> <strong>impacts</strong> refer to the observed orprojected effects of climate <strong>change</strong> on natural <strong>and</strong>human systems. In the case of projected effects, theseprojections often refer to 'potential <strong>impacts</strong>', whichare those <strong>impacts</strong> that may occur given a projected<strong>change</strong> <strong>in</strong> climate, without consider<strong>in</strong>g adaptation.The Impact Assessment to the <strong>Europe</strong>anCommission's 2009 White Paper on Adaptation ( 18 )describes the purpose <strong>and</strong> scope of <strong>in</strong>dicators, asto 'build a structured <strong>in</strong>formation dataset to betterTable 1.1Type of <strong>in</strong>dicator <strong>and</strong> ma<strong>in</strong> purposeType of <strong>in</strong>dicator<strong>Climate</strong> <strong>change</strong> (Chapter 2)<strong>Climate</strong> <strong>change</strong> <strong>impacts</strong> (Chapters 3 <strong>and</strong> 4)Social, economic, health <strong>and</strong> ecological <strong>vulnerability</strong>(Chapters 4 <strong>and</strong> 5)Ma<strong>in</strong> purposeUnderst<strong>and</strong><strong>in</strong>g the causes of <strong>impacts</strong> of climate <strong>change</strong>Underst<strong>and</strong><strong>in</strong>g consequences of climate <strong>change</strong> <strong>and</strong> determ<strong>in</strong><strong>in</strong>g<strong>vulnerability</strong> to climate <strong>change</strong>Monitor<strong>in</strong>g <strong>and</strong> underst<strong>and</strong><strong>in</strong>g <strong>vulnerability</strong>, identify<strong>in</strong>g adaptationneeds, evaluat<strong>in</strong>g adaptation strategies <strong>and</strong> action( 16 ) See http://climate-adapt.eea.europa.eu/web/guest/eu-sector-policy/general.( 17 ) See http://ec.europa.eu/budget/reform.( 18 ) See http://ec.europa.eu/clima/policies/adaptation/<strong>in</strong>dex_en.htm.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201235


Introductionunderst<strong>and</strong> the territorial <strong>and</strong> sectoral distributionof <strong>vulnerability</strong> to climate <strong>change</strong> <strong>impacts</strong>.Vulnerability is def<strong>in</strong>ed as a function of 1) theexposure to climate <strong>change</strong> <strong>impacts</strong>,2) the sensitivity <strong>and</strong> 3) the adaptive capacity of asystem or territory)'.For a further discussion of the use of the concepts<strong>vulnerability</strong> <strong>and</strong> risk, the reader is referred toSection 1.7.1.4.2 Criteria for <strong>in</strong>dicator selection <strong>and</strong> <strong>change</strong>ss<strong>in</strong>ce the 2008 reportThe selection of <strong>in</strong>dicators for this report wasguided by a number of criteria <strong>and</strong> documented<strong>in</strong> an ETC/CCA technical paper ( 19 ). This technicalpaper used 13 criteria grouped <strong>in</strong>to the follow<strong>in</strong>gthemes:1. Policy relevance;2. Causal l<strong>in</strong>ks to climate <strong>change</strong>;3. Methodological <strong>and</strong> data quality, <strong>and</strong> dataaccessibility;4. Robustness <strong>and</strong> known uncerta<strong>in</strong>ty;5. Acceptance <strong>and</strong> <strong>in</strong>telligibility.Some criteria were adapted to address the specificcharacteristics of those parts of <strong>in</strong>dicators address<strong>in</strong>g'observed <strong>change</strong>' <strong>and</strong> 'future projections'. The f<strong>in</strong>alselection of <strong>in</strong>dicators was done <strong>in</strong> consensus withthe authors, consider<strong>in</strong>g all criteria mentioned aboveas well as the op<strong>in</strong>ions of the external AdvisoryGroup.The number <strong>and</strong> quality of the underly<strong>in</strong>g<strong>in</strong>formation on climate <strong>change</strong> <strong>impacts</strong>,<strong>vulnerability</strong> <strong>and</strong> risks relevant for <strong>Europe</strong> has<strong>in</strong>creased s<strong>in</strong>ce the publication of the previousclimate <strong>change</strong> <strong>in</strong>dicator report of 2008. In the 2012report several new <strong>in</strong>dicators have been <strong>in</strong>cluded,<strong>and</strong> some <strong>in</strong>dicators have been extended to <strong>in</strong>cludeadditional <strong>in</strong>formation. A few <strong>in</strong>dicators have beendropped because they do not fulfil the updatedcriteria for EEA <strong>in</strong>dicators (see Section 1.4.2), but<strong>in</strong>formation on these topics is still presented <strong>in</strong> thisreport.Table 1.2 shows the ma<strong>in</strong> <strong>change</strong>s <strong>in</strong> <strong>in</strong>dicatorscovered <strong>in</strong> the 2012 report compared to the 2008report. Changes <strong>in</strong> the names of <strong>in</strong>dicators withoutmajor <strong>change</strong>s <strong>in</strong> content <strong>and</strong> movements of<strong>in</strong>dicators <strong>fr</strong>om one section to another are notreported <strong>in</strong> this table.Table 1.2 Changes <strong>in</strong> <strong>in</strong>dicators 2008–2012Section New or modified <strong>in</strong>dicator <strong>in</strong> 2012 Replaced or removed <strong>in</strong>dicator <strong>fr</strong>om2008 reportKey climate variables Storms Storms <strong>and</strong> storm surges <strong>in</strong> <strong>Europe</strong>Cryosphere Perma<strong>fr</strong>ost Mounta<strong>in</strong> perma<strong>fr</strong>ostOceans <strong>and</strong> mar<strong>in</strong>eenvironmentCoastal zonesFreshwater quantity <strong>and</strong>qualityArctic <strong>and</strong> Baltic sea iceOcean acidificationOcean heat contentStorm surgesArctic sea iceFreshwater biodiversity <strong>and</strong> water qualitySoil Soil erosion Soil erosion by waterL<strong>and</strong> degradation <strong>and</strong> desertificationAgriculture Water-limited crop productivity Crop yield variabilityAgriculture <strong>and</strong> forestryHuman health Floods <strong>and</strong> health Heat <strong>and</strong> healthExtreme temperatures <strong>and</strong> healthAir pollution by ozoneAir pollution by ozone <strong>and</strong> healthWater- <strong>and</strong> food-borne diseasesEnergyEconomic sectorsHeat<strong>in</strong>g degree daysDirect losses <strong>fr</strong>om river flood disastersCoastal areas( 19 ) ETC/CCA Technical paper on evaluation of climate <strong>change</strong> state, impact <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong>dicators (draft 2011).36 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Introduction1.4.3 Overview of ma<strong>in</strong> EU <strong>in</strong>dicatordevelopmentsIn the EU a number of <strong>in</strong>dicator sets exist or arebe<strong>in</strong>g developed for various policy purposes. These<strong>in</strong>itiatives do not yet explicitly take climate <strong>change</strong>impact, <strong>vulnerability</strong> <strong>and</strong> adaptation aspects <strong>in</strong>toaccount, although the <strong>in</strong>dicator global temperature<strong>in</strong>crease is <strong>in</strong>cluded <strong>in</strong> a few sets (either ascontextual or as key <strong>in</strong>dicator).The follow<strong>in</strong>g ma<strong>in</strong> EU policy processes <strong>and</strong> related<strong>in</strong>dicators exist:• <strong>Europe</strong>an Commission (<strong>in</strong>clud<strong>in</strong>g Eurostat):• <strong>Europe</strong> 2020 <strong>in</strong>dicators ( 20 );• A resource efficient <strong>Europe</strong> by 2020 ( 21 );• GDP <strong>and</strong> beyond ( 22 );• Structural <strong>in</strong>dicators ( 23 );• Susta<strong>in</strong>able Development Indicators(SDI) ( 24 );• Annual Environment Policy Review ( 25 );• Environmental Accounts ( 26 ) (Eurostat <strong>and</strong> EEA);• EEA core set of <strong>in</strong>dicators (CSI) ( 27 ) <strong>and</strong> EEAenvironmental <strong>and</strong> sectoral <strong>in</strong>dicators;• The JRC develops <strong>and</strong> ma<strong>in</strong>ta<strong>in</strong>s a range of<strong>in</strong>dicators (e.g. on soil, forests).The EEA hosts about 225 <strong>in</strong>dicators across12 environmental <strong>and</strong> sectoral themes, <strong>in</strong>clud<strong>in</strong>g forexample on water, biodiversity, mar<strong>in</strong>e <strong>and</strong> varioussectors <strong>and</strong> also the 2008 <strong>in</strong>dicator set on climate<strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong>. In 2011/2012 theEEA has reviewed its <strong>in</strong>dicators, <strong>in</strong>clud<strong>in</strong>g the EEAcore set (of 37 <strong>in</strong>dicators). The EEA core set conta<strong>in</strong>stwo <strong>in</strong>dicators related to climate <strong>change</strong>: GHGconcentration <strong>in</strong> the atmosphere (not presented <strong>in</strong>this report) <strong>and</strong> global/<strong>Europe</strong>an temperature (seeSection 2.2.2). The EEA, together with the <strong>Europe</strong>anCommission <strong>and</strong> <strong>in</strong>terested member countries,will discuss proposals for further prioritisationof <strong>in</strong>dicators until the end of 2013. This report onclimate <strong>change</strong> impact <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong>dicatorswill be an important <strong>in</strong>put to this process. Furtherdetails on EU <strong>in</strong>dicator sets <strong>and</strong> their relevance forclimate <strong>change</strong> are presented <strong>in</strong> Chapter 6.1.4.4 National <strong>in</strong>itiatives on <strong>in</strong>dicatorsAn important part of the adaptation to climate<strong>change</strong> is local or national. There is therefore a needto develop climate <strong>change</strong> impact <strong>and</strong> <strong>vulnerability</strong><strong>in</strong>dicators at national <strong>and</strong> subnational levels. Toallow shar<strong>in</strong>g of good practice <strong>and</strong> comparativeanalysis that can <strong>in</strong>form policymak<strong>in</strong>g at the<strong>Europe</strong>an level it is desirable to achieve, as far aspossible, consistency <strong>in</strong> methodologies <strong>and</strong> datacollection, across countries.Several countries have started develop<strong>in</strong>g <strong>in</strong>dicatorsets. Here two examples are mentioned. TheUnited K<strong>in</strong>gdom (United K<strong>in</strong>gdom) published itsfirst <strong>Climate</strong> Change Risk Assessment (CCRA) <strong>in</strong>January 2012 (De<strong>fr</strong>a, 2012). It conta<strong>in</strong>s a range of<strong>in</strong>dicators on projected climate <strong>change</strong> impact <strong>and</strong><strong>vulnerability</strong> that are similar to those covered <strong>in</strong> thisreport, but an <strong>in</strong>‐depth comparison has not yet takenplace. The adaptation sub-committee (ASC) of the<strong>in</strong>dependent <strong>Climate</strong> Change Committee publisheda second <strong>and</strong> third report of the United K<strong>in</strong>gdom'spreparedness (ASC, 2011; 2012) that sets out a rangeof <strong>in</strong>dicators aga<strong>in</strong>st which the United K<strong>in</strong>gdom'sprogress can be measured. The UK government will<strong>in</strong> future undertake a study of the Economics of<strong>Climate</strong> Resilience, focus<strong>in</strong>g on policy options forthe key risks identified, towards a future NationalAdaptation Programme. The ASC will cont<strong>in</strong>ue todevelop <strong>and</strong> implement their <strong>in</strong>dicator <strong>fr</strong>ameworkfor measur<strong>in</strong>g progress on prepar<strong>in</strong>g for climate<strong>change</strong> <strong>in</strong> the United K<strong>in</strong>gdom <strong>and</strong> develop a morecomprehensive set of <strong>in</strong>dicators across the priorityareas for adaptation, <strong>in</strong>clud<strong>in</strong>g those not coveredso far (emergency plann<strong>in</strong>g, manag<strong>in</strong>g naturalresources <strong>and</strong> other <strong>in</strong><strong>fr</strong>astructure sectors).In 2008 Germany adopted the 'German Strategy forAdaptation to <strong>Climate</strong> Change' (DAS) (DeutscheBundesregierung, 2008). It was followed by the'Adaptation Action Plan (APA) of the GermanAdaptation Strategy' (Deutsche Bundesregierung,2011) adopted <strong>in</strong> August 2011. The 'AdaptationAction Plan' sets strategic priorities <strong>in</strong>clud<strong>in</strong>g theexpansion of the knowledge base on climate <strong>change</strong><strong>impacts</strong> for all sectors, the subsequent prioritisationof climate risks <strong>and</strong>, based on this, the def<strong>in</strong>itionof key areas for actions or priority measures of theFederal Government (some of the measures <strong>in</strong> jo<strong>in</strong>t( 20 ) See http://ec.europa.eu/europe2020/<strong>in</strong>dex_en.htm <strong>and</strong> http://epp.eurostat.ec.europa.eu/portal/page/portal/europe_2020_<strong>in</strong>dicators/headl<strong>in</strong>e_<strong>in</strong>dicators.( 21 ) See http://ec.europa.eu/resource-efficient-europe/.( 22 ) See http://epp.eurostat.ec.europa.eu/portal/page/portal/gdp_<strong>and</strong>_beyond/<strong>in</strong>troduction.( 23 ) See http://epp.eurostat.ec.europa.eu/portal/page/portal/structural_<strong>in</strong>dicators/<strong>in</strong>troduction.( 24 ) See http://epp.eurostat.ec.europa.eu/portal/page/portal/sdi/<strong>in</strong>dicators.( 25 ) See http://ec.europa.eu/environment/policyreview.htm.( 26 ) See http://epp.eurostat.ec.europa.eu/portal/page/portal/environmental_accounts/<strong>in</strong>troduction.( 27 ) See http://www.eea.europa.eu/data-<strong>and</strong>-maps/<strong>in</strong>dicators#c7=all&c5=&c0=10&b_start=0&c10=CSI.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201237


Introductionresponsibility with the Federal states). A supplementAdaptation Action Plan is planned for 2014. It willrely on an updated comprehensive <strong>vulnerability</strong>assessment for Germany. An <strong>in</strong>itial evaluation reporton DAS <strong>and</strong> APA is projected for the end of 2014.An <strong>in</strong>dicator concept ('Establishment of an IndicatorConcept for the German Strategy on Adaptation to<strong>Climate</strong> Change') (Schönthaler et al., 2010) is currentlybe<strong>in</strong>g developed <strong>and</strong> agreed upon, underp<strong>in</strong>ned byvarious ongo<strong>in</strong>g studies. The 2010 report conta<strong>in</strong>s an<strong>in</strong>itial set of <strong>in</strong>dicators for adaptation at federal level<strong>and</strong> a structure for a national report on <strong>in</strong>dicators.In 2011 another report on <strong>in</strong>dicators was published(Schönthaler et al., 2011). The <strong>in</strong>dicators will beconsolidated <strong>in</strong> the com<strong>in</strong>g years.1.5 Emissions <strong>and</strong> socio‐economicscenarios for projectionsSection 1.5.1 presents the global emissions scenariosunderly<strong>in</strong>g projections of climate <strong>and</strong> climateimpact <strong>in</strong>dicators <strong>in</strong> Chapters 2, 3 <strong>and</strong> 4 as wellas assessments of <strong>vulnerability</strong> to climate <strong>change</strong><strong>in</strong> Chapter 5. Section 1.5.2 presents additionaldemographic <strong>and</strong> socio‐economic scenarios for<strong>Europe</strong> that have been used <strong>in</strong> the <strong>vulnerability</strong>assessments <strong>in</strong> Chapter 5.1.5.1 Emissions scenariosThe projected <strong>in</strong>dicators <strong>in</strong> this report are based ona wide range of studies published <strong>in</strong> peer-reviewedacademic papers <strong>and</strong> reports of <strong>in</strong>ternationalorganisations. Many of these refer to or use generallyavailable emissions <strong>and</strong>/or climate scenarios, butthere is <strong>in</strong>evitably variation <strong>in</strong> the choice <strong>and</strong> use ofemissions scenarios <strong>and</strong> climate model runs for theassessments of <strong>in</strong>dividual <strong>in</strong>dicators.Most climate projections use the storyl<strong>in</strong>es <strong>and</strong> theassociated emissions scenarios published by theIPCC <strong>in</strong> 2000 <strong>in</strong> the Special Report on EmissionsScenarios (SRES) (Nakicenovic <strong>and</strong> Swart, 2000).These scenarios, often called the SRES scenarios,represent the outcome of different assumptionsabout the future course of economic development,demography <strong>and</strong> technological <strong>change</strong>. The SRESscenarios are 'basel<strong>in</strong>e' (or 'reference') scenarios,which means that they do not take <strong>in</strong>to accountspecific agreements or policy measures aimed atlimit<strong>in</strong>g the emission of GHG emissions (e.g. theKyoto Protocol to the UNFCCC). The SRES emissionsscenarios are organised <strong>in</strong>to families, which conta<strong>in</strong>scenarios that are based on similar assumptionsregard<strong>in</strong>g demographic, economic <strong>and</strong> technologicaldevelopment. The six families of emissions scenariosdiscussed <strong>in</strong> the IPCC's Third Assessment Report(TAR) <strong>and</strong> Fourth Assessment Report (AR4) are A1FI('fossil <strong>in</strong>tensive'), A1B ('base'), A1T ('technology'), A2,B1 <strong>and</strong> B2 (see Box 1.2).Box 1.2The IPCC Special Report on Emissions Scenarios (SRES)A1. The A1 scenario family describes a future world of very rapid economic growth, global population that peaks<strong>in</strong> the mid-century <strong>and</strong> decl<strong>in</strong>es thereafter, <strong>and</strong> a rapid <strong>in</strong>troduction of new <strong>and</strong> more efficient technologies.Major underly<strong>in</strong>g themes are convergence among regions, capacity build<strong>in</strong>g, <strong>and</strong> <strong>in</strong>creased cultural <strong>and</strong>social <strong>in</strong>teractions, with a substantial reduction <strong>in</strong> regional differences <strong>in</strong> per capita <strong>in</strong>come. The A1 familydevelops <strong>in</strong>to three groups that describe alternative directions of technological <strong>change</strong> <strong>in</strong> the energysystem, dist<strong>in</strong>guished by their technological emphasis: fossil-<strong>in</strong>tensive (A1FI), non‐fossil energy sources(A1T), or a balance across all sources (A1B) (where balanced is def<strong>in</strong>ed as not rely<strong>in</strong>g too heavily on oneparticular source, on the assumption that similar improvement rates apply to all energy-supply <strong>and</strong> end-usetechnologies).A2. The A2 family describes a very heterogeneous world. The underly<strong>in</strong>g theme is self-reliance <strong>and</strong> preservation oflocal identities. Fertility patterns across regions converge very slowly, which results <strong>in</strong> cont<strong>in</strong>uously <strong>in</strong>creas<strong>in</strong>gpopulation. Economic development is primarily regionally oriented <strong>and</strong> per capita economic growth <strong>and</strong>technological <strong>change</strong> more <strong>fr</strong>agmented <strong>and</strong> slower than <strong>in</strong> other scenarios.B1. The B1 family describes a convergent world with the same global population, which peaks <strong>in</strong> the mid‐century<strong>and</strong> decl<strong>in</strong>es thereafter, as <strong>in</strong> A1, but with rapid <strong>change</strong> <strong>in</strong> economic structures toward a service <strong>and</strong><strong>in</strong>formation economy, with reductions <strong>in</strong> material <strong>in</strong>tensity <strong>and</strong> the <strong>in</strong>troduction of clean <strong>and</strong> resource-efficienttechnologies. The emphasis is on global solutions to economic, social <strong>and</strong> environmental susta<strong>in</strong>ability,<strong>in</strong>clud<strong>in</strong>g improved equity, but without additional climate <strong>in</strong>itiatives.B2. The B2 family describes a world <strong>in</strong> which the emphasis is on local solutions to economic, social <strong>and</strong>environmental susta<strong>in</strong>ability. It is a world with cont<strong>in</strong>uously <strong>in</strong>creas<strong>in</strong>g global population, at a rate lower thanA2, <strong>in</strong>termediate levels of economic development, <strong>and</strong> less rapid <strong>and</strong> more diverse technological <strong>change</strong> than<strong>in</strong> B1 <strong>and</strong> A1. While these scenarios are also oriented towards environmental protection <strong>and</strong> social equity, theyfocus on local <strong>and</strong> regional levels.Source: Nakicenovic <strong>and</strong> Swart, 2000.38 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


IntroductionThe next generation of scenarios to supportclimate <strong>change</strong> research <strong>and</strong> assessments arecalled Representative Concentration Pathways(RCPs). These scenarios prescribe trajectories forthe concentrations (rather than the emissions) ofGHGs <strong>and</strong> therefore are not simply updates of theSRES emissions scenarios (van Vuuren et al., 2011).The RCPs provide a consistent set of greenhouseconcentration trajectories that are <strong>in</strong>tended to serveas <strong>in</strong>put for climate modell<strong>in</strong>g, pattern scal<strong>in</strong>g <strong>and</strong>atmospheric chemistry modell<strong>in</strong>g. They are named<strong>fr</strong>om RCP 2.6 to RCP 8.5 accord<strong>in</strong>g to their radiativeforc<strong>in</strong>g level <strong>in</strong> the year 2100. Unlike SRES, theRCPs cover the full range of stabilisation, mitigation<strong>and</strong> basel<strong>in</strong>e emissions scenarios available <strong>in</strong> thescientific literature <strong>and</strong> thus facilitate the mapp<strong>in</strong>gof all plausible climate evolutionsTable 1.3 expla<strong>in</strong>s which emissions scenarios<strong>and</strong> climate models were used <strong>in</strong> the projectionsof <strong>in</strong>dicators presented <strong>in</strong> this report. Some<strong>vulnerability</strong> <strong>and</strong> risk assessments <strong>in</strong> Chapter 5Table 1.3 Emissions scenarios <strong>and</strong> climate models used <strong>in</strong> projections ( a )Section Indicator Emissionsscenario(s)2.2.2 Global <strong>and</strong> <strong>Europe</strong>antemperatureGlobal:A1B, A2, B1<strong>Europe</strong>an:A1B<strong>Climate</strong> model(s) ( b )GCM ensembleRCM ensemble based on 5 GCMsTimeperiod(s) ( c )21st century2030s, 2080s2.2.3 Temperature extremes A1B 6 RCM ensemble 2030s, 2080s2.2.4 Mean precipitation A1B RCM ensemble based on 5 GCMs 2080s2.2.5 Precipitation extremes S<strong>in</strong>gle RCM nested <strong>in</strong> 6 GCMs 2080s2.2.6 Storms A1B 9 GCM <strong>and</strong> 11 RCM ensemble 2080s2.3.2 Snow cover A1B 6 RCM ensemble 2050s2.3.4 Glaciers A1B 10 GCM ensemble 21st century3.2.2 Global <strong>and</strong> <strong>Europe</strong>ansea-level riseGlobal:Various scenariosGlobal:Various sourcesGlobal:21003.3.2 River flow A1B 12 RCM ensemble 2050s3.3.3 River floods A1B 12 RCM ensemble 2050s3.3.4 River flow drought A1B 12 RCM ensemble 2050s3.4.4 Distribution of plant species S550E stabilisation <strong>and</strong>IMAGE basel<strong>in</strong>e scenario3.4.5 Distribution <strong>and</strong> abundance ofanimal speciesLev<strong>in</strong>sky et al.:A2, B1ALARM project:A2HadCM2 2100UnspecifiedHadCM32080s2030s, 2060s3.4.6 Species <strong>in</strong>teractions A2 HadCM3 2060s4.1.3 Agrophenology A1B RACMO, HadRCM3 2031-20504.1.4 Water-limited cropproductivityA1BA1BA1BRACMO, HadRCM312 RCM ensembleECHAM5, HadCM32031–20502050s2030s4.1.5 Water requirement A1B HIRHAM (DMI) RCM 2080s4.2.3 Forest fires A1B RACMO2 driven by ECHAM5 2080sThe <strong>in</strong>formation below is not presented <strong>in</strong> <strong>in</strong>dicator format <strong>in</strong> this report4.7.2 Tourism climatic <strong>in</strong>dex A2 5 RCM ensemble (PRUDENCE) 2080s5.2 River flood<strong>in</strong>g, water scarcity A2, B2 GCM/RCM ensemble 2050s<strong>and</strong> droughts5.3 Coastal flood<strong>in</strong>g A2, B1 Uniform sea-level rise 21005.4 Integrated <strong>vulnerability</strong>assessmentA1B CCLM RCM 2080sNote:( a ) The table only lists quantitative projections of future <strong>change</strong>s <strong>in</strong> the form of graphs or maps. National or subnationalprojections shown <strong>in</strong> numbered text boxes are not considered.( b ) Unless otherwise specified, RCM ensemble projections are derived <strong>fr</strong>om the ENSEMBLES FP6 project(http://www.ensembles-eu.org).( c ) If a decade is specified by an end<strong>in</strong>g 's', this st<strong>and</strong>s for the 30-year period centred on this decade (e.g. '2030s' refer to2021–2050 <strong>and</strong> '2080s' to 2071–2100).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201239


Introductionconsider climate <strong>change</strong> along with othersocio‐economic developments. The underly<strong>in</strong>gsocio‐economic <strong>and</strong> demographic projections areexpla<strong>in</strong>ed <strong>in</strong> Section 1.5.2.1.5.2 Socio‐economic scenariosThe risks <strong>and</strong> vulnerabilities of regions, sectors<strong>and</strong> population groups are determ<strong>in</strong>ed by<strong>change</strong>s <strong>in</strong> climatic conditions as well as bydemographic, social, economic, political,technological <strong>and</strong> environmental <strong>change</strong>s. (Fornotational convenience, the follow<strong>in</strong>g text refersto the full range of non‐climatic developmentssimply as 'socio‐economic developments'.) Severalstudies assess<strong>in</strong>g future consequences of climate<strong>change</strong> use complex models <strong>and</strong> other methodsthat <strong>in</strong>corporate assumptions <strong>and</strong> scenariosfor socio‐economic developments <strong>in</strong> additionto climate projections. On the one h<strong>and</strong>, the<strong>in</strong>tegration of climatic <strong>and</strong> socio‐economic scenariosallows for a more realistic assessment of futureconsequences of climate <strong>change</strong>, <strong>in</strong> particular iffuture socio‐economic developments are fairlywell known (e.g. demographic <strong>change</strong>s). Theyalso facilitate estimates of the relative importanceof various <strong>change</strong>s, such as ris<strong>in</strong>g sea level versuspopulation migration, <strong>in</strong> climate-sensitive risks (butsuch analyses are not always done). On the otherh<strong>and</strong>, the <strong>in</strong>clusion of uncerta<strong>in</strong> socio‐economicscenarios may further <strong>in</strong>crease the uncerta<strong>in</strong>ty ofprojections, which may make them less amenable todecision‐makers.Socio‐economic developments have a significant(<strong>and</strong> often dom<strong>in</strong>ant) role <strong>in</strong> the exposure <strong>and</strong>vulnerabilities of regions, sectors or populationgroups to climatic <strong>and</strong> other hazards. The social,technological, economic, environmental <strong>and</strong> politicaldevelopments determ<strong>in</strong>e the socio‐economiccontext with<strong>in</strong> which climate <strong>change</strong> is experienced,<strong>and</strong> can therefore strongly <strong>in</strong>fluence climate<strong>change</strong>‐related risks <strong>and</strong> vulnerabilities ( 28 ). Keysocio‐economic variables <strong>in</strong>clude: economic wealth<strong>and</strong> commodity prices developments; sectoraldevelopments <strong>and</strong> technological <strong>in</strong>novation;population dynamics (e.g. growth, age<strong>in</strong>g <strong>and</strong> spatialdistribution); consumption patterns <strong>and</strong> lifestyles;settlement patterns (e.g. urban growth <strong>and</strong> sprawl);<strong>in</strong><strong>fr</strong>astructure developments; l<strong>and</strong> cover <strong>and</strong> l<strong>and</strong> use.Strong <strong>in</strong>ter-l<strong>in</strong>kages <strong>and</strong> feedbacks exist betweenthe different drivers of socio‐economic <strong>change</strong>, whichrequire a consistent <strong>and</strong> comprehensive consideration<strong>in</strong> scenario studies.Most recent <strong>in</strong>tegrated assessments of climate<strong>change</strong> <strong>in</strong> <strong>Europe</strong>, <strong>in</strong>clud<strong>in</strong>g those presented<strong>in</strong> this report, are based on the IPCC SRES(see Section 1.5.1). The SRES scenarios provide<strong>in</strong>ternally consistent socio‐economic storyl<strong>in</strong>es <strong>and</strong>GHG emissions scenarios for four world regionsthat can support climate <strong>change</strong> <strong>and</strong> climate impactassessments. The studies support<strong>in</strong>g the <strong>in</strong>dicatorspresented <strong>in</strong> Chapters 2, 3 <strong>and</strong> 4 of this reportgenerally rely on the SRES emissions scenarios(see Table 1.3 for details). The projects presented<strong>in</strong> the chapter on <strong>vulnerability</strong> to climate <strong>change</strong>(Chapter 5) use a range of SRES socio‐economic <strong>and</strong>climate scenarios.Recently, alternative socio‐economic scenarios havebeen developed globally <strong>and</strong> at the <strong>Europe</strong>an scale<strong>in</strong> connection with the IPCC AR5 (see Box 1.1).In <strong>Europe</strong>, this has occurred, for example, <strong>in</strong>connection with the study on '<strong>Climate</strong> adaptation— modell<strong>in</strong>g water scenarios <strong>and</strong> sectoral<strong>impacts</strong>' (ClimWatAdapt) ( 29 ). Section 5.2 presentsselected results for floods <strong>and</strong> for water scarcity<strong>and</strong> droughts. The ClimWatAdapt project <strong>and</strong>its predecessor SCENES envisaged an iterativeparticipatory process to develop (both qualitative<strong>and</strong> quantitative) scenarios of <strong>Europe</strong>'s <strong>fr</strong>eshwaterup to 2050, entitled 'Economy First (EcF)','Fortress <strong>Europe</strong> (FoE)', 'Policy Rules (PoR)' <strong>and</strong>'Susta<strong>in</strong>ability Eventually (SuE)'.The next generation of emissions <strong>and</strong>socio‐economic scenarios will serve IPCC's AR5.(Moss et al., 2010) describes <strong>in</strong> detail the process bywhich they are be<strong>in</strong>g developed to take advantageof the latest scientific advances on the response ofthe Earth system to <strong>change</strong>s <strong>in</strong> radiative forc<strong>in</strong>gas well as knowledge on how societies respondthrough <strong>change</strong>s <strong>in</strong> technology, economies, lifestyle<strong>and</strong> policy. The research community took up thetask of develop<strong>in</strong>g new scenarios by depart<strong>in</strong>g<strong>fr</strong>om the sequential approach of the latest set ofSRES scenarios <strong>fr</strong>om the IPCC. Their approach<strong>in</strong>cludes the parallel development of new climatescenarios (based on the four representativeconcentration pathways or RCPs (van Vuuren et al.,2011) <strong>and</strong> new socio‐economic scenarios with amore regional approach that enable exploration ofimportant socio‐economic uncerta<strong>in</strong>ties affect<strong>in</strong>gboth adaptation <strong>and</strong> mitigation.. The new scenarios( 28 ) See Section 1.7 for a discussion of the terms '<strong>vulnerability</strong>' <strong>and</strong> 'risk' <strong>and</strong> their use <strong>in</strong> this report.( 29 ) See http://www.climwatadapt.eu.40 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Introductionimmigration will be low, 55–70 % of the NUTS2regions <strong>in</strong> <strong>Europe</strong> will experience a decl<strong>in</strong>e of thelabour force by 10 % or more. In most regions <strong>in</strong>eastern <strong>and</strong> southern parts of <strong>Europe</strong>, the labourforce may even decrease by more than 30 %. Use ofsuch detailed demographic <strong>and</strong> macro-economicprojections with<strong>in</strong> future EU-wide climate <strong>change</strong><strong>vulnerability</strong> assessments could potentially improvethe quality <strong>and</strong> consistency of such assessments.1.6 Uncerta<strong>in</strong>ty <strong>in</strong> observations <strong>and</strong>projectionsData on observed <strong>and</strong> projected climate <strong>change</strong><strong>and</strong> its <strong>impacts</strong> is always associated with someuncerta<strong>in</strong>ty. This section discusses the ma<strong>in</strong> sourcesof uncerta<strong>in</strong>ty relevant for this report, <strong>and</strong> howuncerta<strong>in</strong>ties are addressed <strong>and</strong> communicated <strong>in</strong>this report, <strong>in</strong> particular <strong>in</strong> the key messages. Notethat the term 'uncerta<strong>in</strong>ty' is used by scientists torefer to partial, or imperfect, <strong>in</strong>formation. Thus, thedirection or even the approximate magnitude ofa phenomenon may be known although the exactmagnitude is not known. For example, a scientificprojection of global mean temperature for a givenemissions scenario may report a best estimate of3 °C, with an uncerta<strong>in</strong>ty range of 2–4.5 °C. Theuncerta<strong>in</strong>ty <strong>in</strong>terval reflects the impossibilityto forecast exactly what will happen. However,know<strong>in</strong>g that it is virtually certa<strong>in</strong> that the Earthwill cont<strong>in</strong>ue to warm <strong>and</strong> that the future warm<strong>in</strong>gis likely with<strong>in</strong> a certa<strong>in</strong> range still provideshighly relevant <strong>in</strong>formation to decision-makersconcerned with climate <strong>change</strong> mitigation as well asadaptation.1.6.1 Sources of uncerta<strong>in</strong>tyUncerta<strong>in</strong>ties <strong>in</strong> <strong>in</strong>dicators presented <strong>in</strong> this reportarise primarily <strong>fr</strong>om the follow<strong>in</strong>g sources. Notethat some sources of uncerta<strong>in</strong>ty can be quantifiedwhereas others cannot. Furthermore, some of themcan <strong>in</strong> pr<strong>in</strong>ciple be reduced by further researchwhereas others cannot.1. Measurement errors result<strong>in</strong>g <strong>fr</strong>om imperfectobservational <strong>in</strong>struments (e.g. ra<strong>in</strong> gauges) <strong>and</strong>/or data process<strong>in</strong>g (e.g. algorithms for estimat<strong>in</strong>gsurface temperature based on satellite data).2. Aggregation errors result<strong>in</strong>g <strong>fr</strong>om <strong>in</strong>completetemporal <strong>and</strong>/or spatial data coverage. Most<strong>in</strong>dicators presented <strong>in</strong> this report comb<strong>in</strong>emeasurement <strong>fr</strong>om a limited number of locations(e.g. meteorological observation stations) <strong>and</strong><strong>fr</strong>om discrete po<strong>in</strong>ts <strong>in</strong> time to make aggregatestatements on large regions <strong>and</strong> for wholetime periods. Such an aggregation <strong>in</strong>troducesuncerta<strong>in</strong>ties, <strong>in</strong> particular when the measurenetwork is scarce <strong>and</strong> when the phenomenonexhibits large variations across space <strong>and</strong>/ortime.3. Natural climate variability result<strong>in</strong>g <strong>fr</strong>omunpredictable natural processes either with<strong>in</strong>the climate system (e.g. atmospheric <strong>and</strong> oceanicvariability) or outside the climate system(e.g. future volcanic eruptions).4. Future emissions of greenhouse gases determ<strong>in</strong>ethe magnitude of the human <strong>in</strong>fluence on theclimate system <strong>and</strong> therefore the magnitude <strong>and</strong>rate of future climate <strong>change</strong>. Controll<strong>in</strong>g (net)GHG emissions is the only way, besides highlycontroversial geo-eng<strong>in</strong>eer<strong>in</strong>g, to limit globalclimate <strong>change</strong>.5. Uncerta<strong>in</strong>ties <strong>in</strong> climate models result<strong>in</strong>g <strong>fr</strong>om an<strong>in</strong>complete underst<strong>and</strong><strong>in</strong>g of the Earth system(e.g. dynamic ice sheet processes or methanerelease <strong>fr</strong>om perma<strong>fr</strong>ost areas <strong>and</strong> methanehydrates) <strong>and</strong>/or <strong>fr</strong>om the limited resolutionof climate models (e.g. hamper<strong>in</strong>g the explicitresolution of cloud physics). These uncerta<strong>in</strong>tiesare particularly relevant <strong>in</strong> the context ofpositive <strong>and</strong> negative feedback processes.6. Complex <strong>in</strong>teraction of climatic <strong>and</strong> non‐climaticfactors. This complex cause-effect web hampersthe attribution of observed environmental orsocial <strong>change</strong>s to past <strong>change</strong>s <strong>in</strong> climate as wellas the projection of future climate <strong>impacts</strong>.7. Future <strong>change</strong>s <strong>in</strong> socio‐economic, demographic <strong>and</strong>technological factors as well as <strong>in</strong> societal preferences<strong>and</strong> political priorities. Changes <strong>in</strong> non‐climaticvariables <strong>in</strong>teract with climate <strong>change</strong> todeterm<strong>in</strong>e the <strong>impacts</strong> on environment <strong>and</strong>society. Changes <strong>in</strong> preferences affect whethera certa<strong>in</strong> 'climate impact' (e.g. a decrease <strong>in</strong>biodiversity) is seen as a small or big problem;such <strong>change</strong>s are particularly relevant <strong>in</strong> theformulation of long-term adaptation policies.The relative importance of the various sourcesof uncerta<strong>in</strong>ty depends on the target system, theclimate <strong>and</strong> non‐climate factors it is sensitiveto, <strong>and</strong> the time horizon of the assessment. Forexample, uncerta<strong>in</strong>ty about future emissions oflong-lived GHGs becomes the dom<strong>in</strong>ant source ofuncerta<strong>in</strong>ty for <strong>change</strong>s <strong>in</strong> global mean temperatureon time scales of 50 years or more but it is of42 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Introductionlimited importance for short-term climate <strong>change</strong>projections (Cox <strong>and</strong> Stephenson, 2007; Hawk<strong>in</strong>s<strong>and</strong> Sutton, 2009; Yip et al., 2011).Another source of uncerta<strong>in</strong>ty not explicitlymentioned <strong>in</strong> the list above is the downscal<strong>in</strong>gof climate or climate impact projections. Mostprojections <strong>in</strong> this report cover all of <strong>Europe</strong>(i.e. EEA member <strong>and</strong> cooperat<strong>in</strong>g countries). Sucha broad coverage necessarily limits the level ofdetail at which regional climatic, environmental <strong>and</strong>other features can be considered, <strong>and</strong> the spatialresolution at which projections can be presented.Decisions on the management of climate-sensitiveresources at the national, regional <strong>and</strong> local levelsrequire more detailed projections at a higher spatialresolution than can be presented <strong>in</strong> this report. A keyelement of provid<strong>in</strong>g such detailed projections is thedownscal<strong>in</strong>g of climate projections (see Chapter 2),which constitutes another important element ofuncerta<strong>in</strong>ty <strong>in</strong> climate <strong>and</strong> climate impact projects atthe national <strong>and</strong> subnational levels.Further <strong>in</strong>formation on sources of uncerta<strong>in</strong>tycan be found <strong>in</strong> the uncerta<strong>in</strong>ty guidance of<strong>Climate</strong>‐ADAPT ( 30 ).1.6.2 Address<strong>in</strong>g <strong>and</strong> communicat<strong>in</strong>g uncerta<strong>in</strong>tyThe lack of perfect <strong>in</strong>formation is a common feature<strong>in</strong> all areas of policymak<strong>in</strong>g. Uncerta<strong>in</strong>ties mustnot prevent tak<strong>in</strong>g decisions but it is <strong>in</strong> the <strong>in</strong>terestof decision-makers to be aware of the degree ofuncerta<strong>in</strong>ty associated with specific data sourcesso that they can consider the range of plausibledevelopments <strong>in</strong> their decisions. The importance ofuncerta<strong>in</strong>ties about climate <strong>change</strong> <strong>and</strong> its <strong>impacts</strong>for a particular decision depends on factors such asthe time horizon <strong>and</strong> reversibility of the decision, theimportance of climate factors for the decision, <strong>and</strong>the costs of buffer<strong>in</strong>g the decision aga<strong>in</strong>st uncerta<strong>in</strong>developments. For example, when uncerta<strong>in</strong>tiesare very large, it is often (but not always) prudentto focus on 'no regrets' <strong>and</strong> 'w<strong>in</strong>-w<strong>in</strong>' adaptationstrategies that address adaptation to (uncerta<strong>in</strong>)climate <strong>change</strong> jo<strong>in</strong>tly with other societal goals,thereby limit<strong>in</strong>g the additional cost of the adaptationcomponent. This topic is addressed <strong>in</strong> more detail<strong>in</strong> the parallel report on Adaptation <strong>in</strong> <strong>Europe</strong> (seeSection 1.2.4).Compared to the 2008 report, <strong>in</strong>creased efforts weremade <strong>in</strong> this report to describe the accuracy <strong>and</strong>robustness of data underly<strong>in</strong>g <strong>in</strong>dicators as clearlyas possible. The approach followed <strong>in</strong> this reportwas <strong>in</strong>spired by the considerable experience of theIPCC <strong>in</strong> communicat<strong>in</strong>g uncerta<strong>in</strong>ties (Mastr<strong>and</strong>reaet al., 2010) <strong>and</strong> by the NUSAP approach (Funtowicz<strong>and</strong> Ravetz, 1990). Over a period of 10 years, theIPCC has developed <strong>and</strong> ref<strong>in</strong>ed a 'calibratedlanguage' to express the confidence <strong>in</strong> <strong>and</strong>/orlikelihood of specific f<strong>in</strong>d<strong>in</strong>gs, which is applied<strong>in</strong> most key messages of IPCC reports. However,follow<strong>in</strong>g the IPCC uncerta<strong>in</strong>ty guidance <strong>in</strong> thisreport is not feasible because the small number ofexperts <strong>in</strong>volved <strong>in</strong> produc<strong>in</strong>g this report prohibitsquantitative expert assessments of confidence <strong>and</strong>uncerta<strong>in</strong>ty.In this report uncerta<strong>in</strong>ty is addressed by:1. choos<strong>in</strong>g carefully the type of statement, mak<strong>in</strong>gclear the specific context <strong>and</strong> possibilities forgeneralisation;2. choos<strong>in</strong>g the appropriate level of precision, <strong>fr</strong>omthe existence of an effect to a precise value;3. report<strong>in</strong>g the pedigree of a statement, <strong>in</strong>clud<strong>in</strong>gma<strong>in</strong> factors known to affect the confidence thatcan be put <strong>in</strong> a specific data set or conclusion.These three ma<strong>in</strong> elements of address<strong>in</strong>guncerta<strong>in</strong>ties <strong>in</strong> this report are outl<strong>in</strong>ed below.Appropriate choice of type of statementSeveral different types of statements can bedist<strong>in</strong>guished <strong>in</strong> this report:1. observation of a climate variable;2. observation of a statistically significant (<strong>change</strong><strong>in</strong>) trend of a climate variable;3. projection of a climate variable <strong>in</strong>to the future;4. observation of a climate-sensitive 'impact'variable (i.e. a <strong>change</strong> <strong>in</strong> an environmental orsocial phenomenon that is sensitive to <strong>change</strong>s<strong>in</strong> climate);5. observation of a significant (<strong>change</strong> <strong>in</strong>) trend of aclimate-sensitive 'impact' variable;6. attribution of a <strong>change</strong> <strong>in</strong> a climate-sensitive'impact' variable to (anthropogenic) climate<strong>change</strong>;( 30 ) See http://climate-adapt.eea.europa.eu/uncerta<strong>in</strong>ty-guidance.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201243


Introduction7. projection of a climate-sensitive 'impact' variable;8. identification of adaptation needs.Different types of statements are subject to differentsources of uncerta<strong>in</strong>ty. As a general rule, the(sources of) uncerta<strong>in</strong>ty <strong>in</strong>creases <strong>fr</strong>om observationsto attributions <strong>and</strong> projections, <strong>and</strong> <strong>fr</strong>om climatevariables to climate <strong>impacts</strong> <strong>and</strong> adaptation needs(see Figure 1.1). For example, observations of aclimate or climate impact variably (numbers 1<strong>and</strong> 4 above) can be made for short time serieswhereas statements about statistically significanttrends (numbers 2 <strong>and</strong> 5 above) require longer timeseries <strong>and</strong> the consideration of natural <strong>in</strong>terannualvariability. With respect to projections, the futuretrajectory of GHG emissions is a relevant sourceof uncerta<strong>in</strong>ty for long-term climate <strong>and</strong> climateimpact projections but not for observations of thepast. Also, near-term projections (e.g. up to 30 years)show limited sensitivity to future GHG emissionsscenarios due to the long residence time of mostGHGs <strong>and</strong> the large thermal <strong>in</strong>ertia of the climatesystem.Key messages are formulated so that it is clearwhat type of statement they make. Note that thetype of statement supported by a particular datasetmay depend on the spatial scale. For example, asignificant climate trend may be detectable at thecont<strong>in</strong>ental scale (where year-to-year variabilityis low) but not <strong>in</strong> each region (where year-to-yearvariability is higher <strong>and</strong> regional factors may beimportant). For the sake of clarity, the comb<strong>in</strong>ationof different types of statements <strong>in</strong> a s<strong>in</strong>gle messageis generally avoided.Appropriate choice of the level of precisionIt is useful to consider several different levels ofprecision (or quantification) <strong>in</strong> key messages, whichare ordered here <strong>fr</strong>om least to most precise (see alsothe IPCC uncerta<strong>in</strong>ty guidance (IPCC, 2005):1. existence of effect (but the direction isambiguous or unpredictable);2. direction of <strong>change</strong> or trend;3. order of magnitude of a <strong>change</strong> (e.g. <strong>in</strong>dicatedby a semi-quantitative verbal statement);4. range or confidence <strong>in</strong>terval;5. s<strong>in</strong>gle value (imply<strong>in</strong>g confidence <strong>in</strong> allsignificant digits).Figure 1.1Cascade of uncerta<strong>in</strong>ties <strong>in</strong> climate impact assessments? ? ? ?EmissionscenariosCarbon cycleresponseGlobal climatesensitivityRegional cliamte<strong>change</strong> scenariosRange ofpossible <strong>impacts</strong>Note:The length of the bars represents the magnitude of the uncerta<strong>in</strong>ty.Source: Ahmad et al., 2007, figure 2–2.44 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


IntroductionAs a general rule, key messages are formulated atthe highest level of precision that is justified by theunderly<strong>in</strong>g data. Furthermore, related statementswith different levels of precision (e.g. observationvs. projection) are clearly separated to <strong>in</strong>dicate theprecision of each <strong>in</strong>dividual statement.Explicit <strong>in</strong>formation on the pedigree of <strong>in</strong>formation<strong>and</strong> uncerta<strong>in</strong>tyKey messages make explicit whether <strong>and</strong> howkey sources of uncerta<strong>in</strong>ty have been considered<strong>in</strong> the underly<strong>in</strong>g dataset wherever relevant <strong>and</strong>feasible. For example, a key message on futureclimate <strong>change</strong> would <strong>in</strong>dicate how many emissionsscenarios <strong>and</strong> climate models were considered toproduce the dataset.1.7 Def<strong>in</strong>ition of <strong>vulnerability</strong> <strong>and</strong> risk1.7.1 Diverse use of termsThe terms <strong>vulnerability</strong> <strong>and</strong> risk are often used todescribe the potential (adverse) effects of climate<strong>change</strong> on ecosystems, <strong>in</strong><strong>fr</strong>astructure, economicsectors, social groups, communities <strong>and</strong> regions.These terms are attractive because they are both<strong>in</strong>tuitively underst<strong>and</strong>able to a large audience <strong>and</strong>rooted <strong>in</strong> several scholarly communities contribut<strong>in</strong>gto climate <strong>change</strong> impact, <strong>vulnerability</strong> <strong>and</strong> riskassessments. However, the fact that these termsare used rather differently across, <strong>and</strong> sometimeswith<strong>in</strong> these scholarly communities, can give riseto misunderst<strong>and</strong><strong>in</strong>gs (Füssel, 2007; O'Brien et al.,2007). In general, use of the terms <strong>vulnerability</strong> <strong>and</strong>risk is unproblematic if they are applied <strong>in</strong> a rathergeneric, <strong>in</strong>tuitive sense. However, whenever one ofthese terms is used quantitatively (e.g. to comparethe <strong>vulnerability</strong> of different regions or populationgroups) or to advise on suitable actions to reduce<strong>vulnerability</strong> or risk, it is necessary to specify clearlyhow the term is understood.This EEA report <strong>in</strong>cludes contributions that use theterm <strong>vulnerability</strong> accord<strong>in</strong>g to its use <strong>in</strong> the climate<strong>change</strong>, disaster risk <strong>and</strong> public health communities.The dist<strong>in</strong>ction between the various concepts isexpla<strong>in</strong>ed below <strong>and</strong> also <strong>in</strong> the IPCC SREX (IPCC,2012).The EEA accepts the existence of various def<strong>in</strong>itions<strong>and</strong> <strong>in</strong>terpretations of <strong>vulnerability</strong> <strong>and</strong> risks <strong>in</strong>climate <strong>change</strong> science <strong>and</strong> policy. The approach <strong>in</strong>this report was therefore not to choose one specificdef<strong>in</strong>ition of <strong>vulnerability</strong> <strong>and</strong> risk over others but toprovide further clarification where needed. Hence,the use of these terms <strong>in</strong> this report always followsthe underly<strong>in</strong>g literature, <strong>and</strong> further explanation isprovided where needed.The term <strong>vulnerability</strong> is generally used to describethat a valued characteristic of a system (e.g. the<strong>in</strong>come basis of a community or the carbon stock ofa forest ecosystem) is threatened due to exposureto one or more stressors (e.g. extreme weatherevents or long-term climate <strong>change</strong>). Different usesof <strong>vulnerability</strong> <strong>in</strong> the climate <strong>change</strong> context aredist<strong>in</strong>guished by the follow<strong>in</strong>g factors:• whether they consider only <strong>in</strong>ternalcharacteristics of the vulnerable system or alsocharacteristics of the external stressor(s) it isexposed to;• whether they refer to human systems, naturalsystems, coupled human-environment systems<strong>and</strong>/or built <strong>in</strong><strong>fr</strong>astructure;• whether they consider only short-onset events(e.g. tropical cyclones) or also cont<strong>in</strong>uous<strong>change</strong>s (e.g. long-term <strong>change</strong>s <strong>in</strong> meantemperature);• whether they consider climate <strong>change</strong> <strong>in</strong>isolation or together with other environmental<strong>and</strong>/or socio‐economic developments;• the level of aggregation <strong>and</strong> the extent of valuejudgements required for do<strong>in</strong>g so (e.g. foraggregat<strong>in</strong>g market <strong>and</strong> non‐market <strong>impacts</strong>, foraggregat<strong>in</strong>g <strong>impacts</strong> affect<strong>in</strong>g different groupsof people at different po<strong>in</strong>ts <strong>in</strong> time, <strong>and</strong> foraggregat<strong>in</strong>g impact projections associated withdifferent levels of uncerta<strong>in</strong>ty);• the level of quantification (e.g. high/medium/low vs. exact numbers).1.7.2 'Outcome' <strong>in</strong>terpretation of <strong>vulnerability</strong> toclimate <strong>change</strong>The IPCC <strong>in</strong> its AR4 def<strong>in</strong>ed <strong>vulnerability</strong> (toclimate <strong>change</strong>) as follows: 'Vulnerability is afunction of the character, magnitude, <strong>and</strong> rate of climate<strong>change</strong> <strong>and</strong> variation to which a system is exposed,its sensitivity, <strong>and</strong> its adaptive capacity.' (IPCC,2007b, p. 883) (see Figure 1.2). Accord<strong>in</strong>g to thisdef<strong>in</strong>ition, <strong>vulnerability</strong> is an <strong>in</strong>tegrated measureof the expected magnitude of adverse effects to asystem caused by a given level of certa<strong>in</strong> externalstressors, tak<strong>in</strong>g <strong>in</strong>to account feasible adaptation.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201245


IntroductionThe term risk is also <strong>in</strong>terpreted <strong>in</strong> different ways(Coburn et al., 1994; Adams, 1995; Cardona, 2003).It is not def<strong>in</strong>ed <strong>in</strong> the IPCC AR4 even though it isused occasionally. The risk concept most relevant<strong>in</strong> the present context, which is sometimes referredto as disaster risk or outcome risk, is def<strong>in</strong>ed as'expected losses […] due to a particular hazard for agiven area <strong>and</strong> reference period' (UNDHA, 1993).A key aspect of the approach applied by the disasterrisk community is the clear dist<strong>in</strong>ction betweentwo factors that determ<strong>in</strong>e the risk to a particularsystem: the hazard, which is a 'potentially damag<strong>in</strong>gphysical event, phenomenon or human activitycharacterised by its location, <strong>in</strong>tensity, <strong>fr</strong>equency <strong>and</strong>probability', <strong>and</strong> the <strong>vulnerability</strong>, which denotesthe 'relationship between the severity of hazard<strong>and</strong> the degree of damage caused' to an exposedelement (UNDHA, 1993; Coburn et al., 1994; UnitedNations, 2004). If a risk assessment considers severalpotentially exposed elements <strong>in</strong> different locations,their differential exposure to hazards has to beconsidered as well (see Figure 1.3).It has been argued that the <strong>in</strong>dicators used fordeterm<strong>in</strong><strong>in</strong>g <strong>vulnerability</strong> <strong>in</strong> the disaster risk contextare often <strong>in</strong> practice quite similar to those describ<strong>in</strong>gthe 'sensitivity' of the system's components toclimatic stimuli <strong>in</strong> the climate <strong>change</strong> community,<strong>and</strong> that <strong>vulnerability</strong> <strong>in</strong> the climate <strong>change</strong>community is sometimes used similar to risk <strong>in</strong>the disaster risk community (Costa <strong>and</strong> Kropp,2012). Note also that <strong>in</strong> practice there appear to befew systematic differences between national-levelclimate <strong>change</strong> assessments denoted as <strong>vulnerability</strong><strong>and</strong> risk assessments, such as those <strong>in</strong> Germany(Zebisch et al., 2005), Austria (Balas et al., 2010), theUnited K<strong>in</strong>gdom (De<strong>fr</strong>a, 2012), <strong>and</strong> Switzerl<strong>and</strong>(Holthausen et al., 2011).The <strong>vulnerability</strong> concept of the disaster riskcommunity has been applied <strong>in</strong> this report <strong>in</strong> thesection on transport (Section 4.6) <strong>and</strong> generally also<strong>in</strong> the section on cities <strong>and</strong> urban areas (Section 5.4).The def<strong>in</strong>ition of <strong>vulnerability</strong> <strong>in</strong> the public healthcommunity is closely related to that of the disasterrisk community. It emphasises characteristics of apopulation group (such as age, gender, nutritionalstatus <strong>and</strong> pre-exist<strong>in</strong>g diseases) that determ<strong>in</strong>e theirsusceptibility to a specific health hazard (Stafoggiaet al., 2006). In this report it has been applied <strong>in</strong> thesection on human health (Section 4.4).1.7.4 Partial <strong>in</strong>tegration of both approaches <strong>in</strong> theIPCC SREXFigure 1.3HazardThe concepts of risk, hazard <strong>and</strong><strong>vulnerability</strong> <strong>in</strong> the risk-hazard<strong>fr</strong>ameworkQualified by <strong>in</strong>tensity<strong>and</strong> probabilityHazard potentialVulnerabilityExposed elementsSusceptibilityCop<strong>in</strong>g capacityRiskThe IPCC recently published the Special ReportSREX (IPCC, 2012), which focuses on the<strong>in</strong>terconnections between extreme weather events,climate <strong>change</strong> <strong>and</strong> disasters. This report no longeruses the <strong>vulnerability</strong> def<strong>in</strong>ition of the IPCC AR4but follows largely the concept of <strong>vulnerability</strong>as understood by the disaster risk community:'Vulnerability is def<strong>in</strong>ed generically <strong>in</strong> this reportas the propensity or predisposition to be adverselyaffected. Such predisposition constitutes an <strong>in</strong>ternalcharacteristic of the affected element. In the field ofdisaster risk, this <strong>in</strong>cludes the characteristics of aperson or group <strong>and</strong> their situation that <strong>in</strong>fluencestheir capacity to anticipate, cope with, resist,<strong>and</strong> recover <strong>fr</strong>om the adverse effects of physicalevents.' (IPCC, 2012). However, the SREX exp<strong>and</strong>sexist<strong>in</strong>g concepts of the disaster risk community byemphasis<strong>in</strong>g how climate <strong>change</strong> <strong>and</strong> developmentcan affect both the climatic hazards that a system orcommunity is exposed to as well as its <strong>vulnerability</strong>(see Figure 1.4).Note:The exposure of various elements is shown here aspart of the <strong>vulnerability</strong> of the group of elementsbut exposure assessment may also be regarded asseparate <strong>fr</strong>om <strong>vulnerability</strong> assessment (as shown <strong>in</strong>Figure 1.4).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201247


IntroductionFigure 1.4L<strong>in</strong>ks between climate <strong>change</strong> <strong>and</strong> disaster riskDisasterCLIMATEVulnerabilityDEVELOPMENTNaturalvariabilityAnthropogenicclimate <strong>change</strong>Weather<strong>and</strong>climateeventsDisasterriskDisaster riskmanagement<strong>Climate</strong> <strong>change</strong>adaptationExposureGreenhouse gas emissionsSource: IPCC, 2012.48 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate system2 Changes <strong>in</strong> the climate system2.1 Human <strong>in</strong>fluence on the climatesystem2.1.1 The climate system<strong>Climate</strong> denotes the statistics (average conditions<strong>and</strong> variability) of the day-to-day weather over along time period (usually 30 years). In contrast,weather denotes the state of the atmosphere at anygiven time, such as the day-to-day temperature <strong>and</strong>precipitation activity.The Earth's climate system is a complex systemconsist<strong>in</strong>g of several closely l<strong>in</strong>ked subsystems:the atmosphere, the hydrosphere (oceans, lakes<strong>and</strong> rivers), the cryosphere (snow <strong>and</strong> ice), <strong>and</strong> thelithosphere (soils). The climate system is closelyl<strong>in</strong>ked to the other components of the Earth system,such as the biosphere (see Figure 2.1).The climate system is <strong>in</strong>fluenced by many factors,such as solar activity, the Earth's orbit aroundthe Sun, atmospheric composition <strong>and</strong> volcanicactivity. <strong>Climate</strong> has always been chang<strong>in</strong>g as aresult of <strong>change</strong>s <strong>in</strong> these factors. For example, thetransitions between ice ages <strong>and</strong> <strong>in</strong>termediate warmphases (<strong>in</strong>terglacials) dur<strong>in</strong>g the last one millionyears were triggered by predictable <strong>change</strong>s <strong>in</strong> theposition of the Earth's axis with respect to the Sun,followed by an amplification of the <strong>in</strong>itial <strong>change</strong>sthrough feedback mechanisms <strong>in</strong> the climatesystem. In addition to the long-term <strong>change</strong>s, theclimate is characterised by substantial variability onmultiple time scales. Examples <strong>in</strong>clude daily <strong>and</strong>seasonal cycles but also more irregular multi‐year<strong>and</strong> multi-decadal phenomena such as ENSO(El Niño-Southern Oscillation), NAO (North Atlanticoscillation), PDO (Pacific decadal oscillation), <strong>and</strong>the Arctic <strong>and</strong> Antarctic oscillations.Figure 2.1Components of the climate system, their processes <strong>and</strong> <strong>in</strong>teractionsSource: IPCC, 2007 (FAQ 1.2, Figure 1).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201249


Changes <strong>in</strong> the climate systemHumans have over time exerted an <strong>in</strong>creas<strong>in</strong>glyimportant <strong>in</strong>fluence on the climate system. Earlyhuman activities affected the climate on a local toregional scale only. For example, the large-scaledeforestation <strong>in</strong> the Mediterranean region dur<strong>in</strong>gthe Roman period altered the regional water cycle<strong>and</strong> may have caused dry<strong>in</strong>g of the region. Withthe <strong>in</strong>dustrial revolution, however, human activitiesbegan to alter the composition of the atmospherethereby chang<strong>in</strong>g the Earth's climate on a globalscale.The ma<strong>in</strong> pathway along which humans areaffect<strong>in</strong>g the global climate is by <strong>in</strong>creas<strong>in</strong>g theconcentration of so called long-lived GHGs. Thesegases let visible light pass through but absorb partof the <strong>in</strong><strong>fr</strong>ared radiation <strong>fr</strong>om the Earth, therebykeep<strong>in</strong>g the heat <strong>in</strong> the system (see Figure 2.2).The most important GHG <strong>in</strong> the atmosphere iswater vapour; the most important anthropogenicGHGs are carbon dioxide (CO 2), methane (CH 4),nitrous oxide (N 2O) <strong>and</strong> a number of halocarbons.The atmospheric concentrations of these gases arenow far higher than at any time dur<strong>in</strong>g the last800 000 years. This is a result of the burn<strong>in</strong>g of fossilfuels, deforestation, <strong>and</strong> to a lesser extent the rais<strong>in</strong>gof cattle <strong>and</strong> the use of synthetic fertilisers. Thecurrent concentration of CO 2, the most importantanthropogenic GHG, is 392 ppm (parts per million)(NOAA, 2012), compared to a historical range of180 to 300 ppm as measured by air bubbles <strong>fr</strong>omthe last 800 000 years captured <strong>in</strong> deep ice cores ( 31 ).Further human activities that warm the Earth arethe emission of short-lived ozone (O 3) precursors(nitrogen oxides (NO X), carbon monoxide (CO), <strong>and</strong>hydrocarbons) <strong>and</strong> the emission <strong>and</strong> deposition ofblack carbon aerosols (i.e. soot) on snow <strong>and</strong> ice,which reduces its reflectivity. Human activities affectalso several other aspects of the climate system,e.g. through agriculture, l<strong>and</strong>-use <strong>change</strong>, <strong>and</strong> theFigure 2.2The Earth's energy balanceNote:The magnitudes of variousenergy flows <strong>in</strong> this figureare associated with someuncerta<strong>in</strong>ties. Please consultthe orig<strong>in</strong>al reference forfurther <strong>in</strong>formation.Source: (Trenberth et al., 2009, fig. 1).© American MeteorologicalSociety. Repr<strong>in</strong>ted withpermission.Note:The magnitudes of various energy flows <strong>in</strong> this figure are associated with some uncerta<strong>in</strong>ties. Please consult the orig<strong>in</strong>alreference for further <strong>in</strong>formation.Source: Trenberth et al., 2009, figure 1. © American Meteorological Society. Repr<strong>in</strong>ted with permission.( 31 ) Note that carbon dioxide emissions have two major <strong>impacts</strong>. One part ends up <strong>in</strong> the atmosphere where it <strong>in</strong>creases thegreenhouse effect <strong>and</strong> thus warms the planet. Another part ends up <strong>in</strong> the oceans where it <strong>in</strong>creases their acidity. Oceanacidification has potentially severe consequences for mar<strong>in</strong>e ecosystems, such as coral reefs (see Section 3.1). It is sometimesdenoted as 'The other CO 2problem'.50 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemdamm<strong>in</strong>g of rivers <strong>and</strong> lakes. Some human activitieshave a cool<strong>in</strong>g effect, <strong>in</strong> particular the emission ofaerosols (i.e. sulphates, smoke, dust <strong>and</strong> haze) thatreflect part of the <strong>in</strong>com<strong>in</strong>g sunlight <strong>and</strong> certa<strong>in</strong>l<strong>and</strong>-use <strong>change</strong>s that <strong>in</strong>crease the reflectivity of thel<strong>and</strong> surface (see Figure 2.2).2.1.2 Observed climate <strong>change</strong> <strong>and</strong> its attributionThe IPCC AR4 (IPCC, 2007) concludes withvery high confidence that human activities havecontributed to the warm<strong>in</strong>g of the global climates<strong>in</strong>ce at least 1750. It estimates that the totalwarm<strong>in</strong>g effect of human activities is at least10 times larger than that of natural factors, <strong>in</strong>particular <strong>change</strong>s <strong>in</strong> solar activity. The AR4 furtherconcludes that the warmth s<strong>in</strong>ce the mid‐20thcentury is exceptional <strong>in</strong> at least the last 1 300 years,<strong>and</strong> that the observed rapid <strong>in</strong>crease <strong>in</strong> globalaverage temperatures s<strong>in</strong>ce the mid-20th centuryis very likely due to the observed <strong>in</strong>crease <strong>in</strong> GHGconcentrations due to human activities. In otherwords, humans have now become the dom<strong>in</strong>at<strong>in</strong>gcause of <strong>change</strong>s <strong>in</strong> global climate on decadal <strong>and</strong>centennial time scales.The observed <strong>in</strong>creas<strong>in</strong>g trend <strong>in</strong> l<strong>and</strong> surfacetemperature worldwide is the most obvious aspectof anthropogenic climate <strong>change</strong>. The global meantemperature has <strong>in</strong>creased by about 0.8 °C s<strong>in</strong>ce the<strong>in</strong>dustrial revolution, whereby the largest warm<strong>in</strong>ghas occurred <strong>in</strong> Polar regions (see Section 2.2.2).Many other climate variables have <strong>change</strong>d as well.Observations show <strong>in</strong>creases <strong>in</strong> ocean temperatureto depths of at least 3 000 m, <strong>in</strong> atmospheric watercontent, <strong>and</strong> <strong>in</strong> sea level s<strong>in</strong>ce at least 1950. At thesame time, the Greenl<strong>and</strong> ice sheets, Arctic seaice, mounta<strong>in</strong> glaciers <strong>and</strong> snow cover <strong>in</strong> bothhemispheres are decl<strong>in</strong><strong>in</strong>g rapidly. Significant<strong>change</strong>s have also been observed <strong>in</strong> precipitationamounts, ocean sal<strong>in</strong>ity <strong>and</strong> w<strong>in</strong>d patterns. Changes<strong>in</strong> some weather <strong>and</strong> climate extremes have alsobeen detected <strong>in</strong> some regions s<strong>in</strong>ce 1950, <strong>in</strong>particular <strong>in</strong>creases <strong>in</strong> daily temperature extremes<strong>and</strong> heat waves (IPCC, 2012).2.1.3 Future climate <strong>change</strong>Projections of future climate <strong>change</strong> are derived<strong>fr</strong>om simulations with general circulation models<strong>and</strong> regional climate models us<strong>in</strong>g differentemission scenarios for GHGs <strong>and</strong> aerosols(see Box 2.1 for further <strong>in</strong>formation). Thesemodels agree that past human activities willcont<strong>in</strong>ue to warm the climate <strong>and</strong> raise sea levelsfor many decades to come. This future climate<strong>change</strong> commitment is due to the long lifetime ofanthropogenic GHGs <strong>in</strong> the atmosphere (typicallydecades to centuries) <strong>and</strong> to the large <strong>in</strong>ertia of theclimate system (<strong>in</strong> particular the oceans). However,the pace <strong>and</strong> magnitude of future climate <strong>change</strong>depends on the level of global GHG emissions<strong>and</strong> other human activities. The best estimatesof further warm<strong>in</strong>g (relative to the 1980–1999average) provided <strong>in</strong> the IPCC AR4 are 1.8 °C fora low emissions scenario (SRES B1) (Nakicenovic<strong>and</strong> Swart, 2000) <strong>and</strong> 4.0 °C for a high emissionsscenario (SRES A1FI). When uncerta<strong>in</strong>ties <strong>in</strong>climate modell<strong>in</strong>g are considered, the likely rangefor 21st century global warm<strong>in</strong>g based on the sixSRES marker emission scenarios extends to1.1–6.4 °C ( 32 ). For comparison, the difference <strong>in</strong>global mean temperature between the presentwarm phase <strong>and</strong> the coldest phase of the last iceage (around 22 000 years ago) is about 5–6 °C.Future warm<strong>in</strong>g of the Earth will affect otheraspects of the climate system as well, lead<strong>in</strong>gto <strong>in</strong>creas<strong>in</strong>g sea levels, chang<strong>in</strong>g precipitationpatterns, <strong>and</strong> <strong>change</strong>s <strong>in</strong> weather <strong>and</strong> climateextremes. The spatial pattern of climate <strong>change</strong> <strong>in</strong>the com<strong>in</strong>g decades is expected to be largely similarto the pattern of recent <strong>change</strong>s, which shows aparticularly strong warm<strong>in</strong>g <strong>in</strong> high latitudes,<strong>in</strong>creas<strong>in</strong>g precipitation <strong>in</strong> most tropical <strong>and</strong> highlatitude regions, <strong>and</strong> decreas<strong>in</strong>g precipitation <strong>in</strong>most sub-tropical regions.( 32 ) <strong>Climate</strong> projections <strong>in</strong> the IPCC AR5 will be based on so-called representative concentration pathways (RCPs) rather than theSRES emissions scenarios. A summary of these simulations will only be publicly available <strong>in</strong> 2013 even though many <strong>in</strong>dividualresults are already available through the CMIP5 website (http://cmip-pcmdi.llnl.gov/cmip5/).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201251


Changes <strong>in</strong> the climate systemBox 2.1General circulation models (GCMs) <strong>and</strong> regional climate models (RCMs)General circulation models (GCMs) are numerical models that represent key physical <strong>and</strong> chemical processes <strong>in</strong>all components of the global climate system (see Figure 2.1). GCMs are the most advanced tools for simulat<strong>in</strong>gthe response of the global climate system to different emissions scenarios for GHGs <strong>and</strong> aerosols. GCMs depictthe climate us<strong>in</strong>g a three-dimensional (3D) grid over the globe. The GCMs used <strong>in</strong> the IPCC AR4 typically simulateatmospheric processes at a horizontal resolution of between 100 <strong>and</strong> 300 km, with 20 to 60 vertical layers. Oceanprocesses were simulated at a horizontal resolution of between 20 <strong>and</strong> 200 km, with up to 30 vertical layers.Some more recent GCMs have a somewhat f<strong>in</strong>er horizontal resolution but their resolution is still quite coarserelative to the scale of exposure units <strong>in</strong> most climate impact assessments.Regional climate models (RCMs) can be used to bridge the coarse-resolution outputs <strong>fr</strong>om GCMs with thehigh‐resolution climate data needs of regional impact assessments. RCMs cover a limited area of <strong>in</strong>terest, such as<strong>Europe</strong> or an <strong>in</strong>dividual country (see Figure 2.3). They are embedded <strong>in</strong>to GCMs, which prescribe the large-scaleclimate features. RCMs typically have a horizontal resolution of between 5 <strong>and</strong> 50 km. Their higher resolutionallows for a better representation of topographic features (e.g. mounta<strong>in</strong> ranges) <strong>and</strong> of regional-scale climatephenomena. As a result they can provide better projections of <strong>change</strong>s <strong>in</strong> regional precipitation patterns <strong>and</strong> <strong>in</strong>certa<strong>in</strong> weather extremes. RCMs have been used to relate future climate <strong>change</strong> <strong>in</strong> specific locations to the currentvariability of climate with<strong>in</strong> <strong>Europe</strong>. For example, simulations with two RCMs have suggested that the climate ofthe city of London at the end of the 21st century under a high emissions scenario (SRES A2) would be similar tothe current climate <strong>in</strong> south-west France or northern Portugal, respectively (Kopf et al., 2008).Global <strong>and</strong> regional climate models have recognised weaknesses. Their simulations of past <strong>and</strong> current climateshow some deviation <strong>fr</strong>om the observed climate. Furthermore, different models provide somewhat differentclimate projections when forced with the same emissions scenario (see Section 2.1.4). Nevertheless, the scientificcommunity is confident that climate models provide credible quantitative estimates of future climate <strong>change</strong> s<strong>in</strong>cethese models are based on fundamental physical laws <strong>and</strong> are able to reproduce the key features of observedclimate <strong>change</strong>.Figure 2.3Components needed for modell<strong>in</strong>g climate <strong>change</strong> <strong>and</strong> its <strong>impacts</strong>GCMRCMGHG emission <strong>and</strong>concentration scenarios. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .<strong>Climate</strong>modelsImpactmodelsWaterAOGCM projectionsRegionalisationImpactsEnergyFoodEcosystemsHealthSource: Blaz Kurnik (EEA).Downscal<strong>in</strong>g of climate projections may be obta<strong>in</strong>ed by RCMs <strong>and</strong> the empirical-statistical downscal<strong>in</strong>g modell<strong>in</strong>g(ESDM). ESDM can effectively correct or ref<strong>in</strong>e climate variable projections provided by GCMs or RCMs <strong>and</strong> reducethe spread of projections given by a GCM/RCM ensemble. Application of ESDM is particularly beneficial to supportlocal-scale climate projections <strong>and</strong> adaptation <strong>in</strong> mounta<strong>in</strong> regions where many different precipitation regimes mayexist with<strong>in</strong> a GCM/RCM grid cell.52 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate system2.1.4 Robustness <strong>and</strong> uncerta<strong>in</strong>ty of climate<strong>change</strong> projectionsDespite substantial progress <strong>in</strong> underst<strong>and</strong><strong>in</strong>g <strong>and</strong>modell<strong>in</strong>g the climate system, there will always besubstantial uncerta<strong>in</strong>ties ( 33 ) about future climate<strong>change</strong>, <strong>in</strong> particular at the regional <strong>and</strong> local levels.The evolution of climate is determ<strong>in</strong>ed by the highlycomplex <strong>in</strong>teraction of the atmosphere, oceans <strong>and</strong>other elements of the global climate system (seeFigure 2.1).Uncerta<strong>in</strong>ty about future climate <strong>change</strong> hasmany sources (see also Section 1.6). One importantfactor is the level of future GHG <strong>and</strong> aerosolemissions, which depends on demographic,socio‐economic <strong>and</strong> technological developmentas well as the implementation of mitigationpolicies. Further sources of uncerta<strong>in</strong>ty are the<strong>in</strong>complete underst<strong>and</strong><strong>in</strong>g of some climateprocesses (e.g. regard<strong>in</strong>g cloud physics <strong>and</strong> rapidice dynamics), <strong>in</strong>sufficient spatial <strong>and</strong> temporalresolution of global climate models, <strong>and</strong> the lack ofFigure 2.4Projections for comb<strong>in</strong>ed <strong>change</strong>s <strong>in</strong> temperature <strong>and</strong> precipitationNorthern <strong>Europe</strong>, 2030–2049Precipitation <strong>change</strong> (%)16141210864200 0.5 1 1.5 2 2.5 3 3.5– 2Temperature <strong>change</strong> (°C)Northern <strong>Europe</strong>, 2080–2099Precipitation <strong>change</strong> (%)25201510500 1 2 3 4 5 6– 5Temperature <strong>change</strong> (°C)Precipitation <strong>change</strong> (%)10Southern <strong>Europe</strong>, 2030–2049Precipitation <strong>change</strong> (%)10Southern <strong>Europe</strong>, 2080–2099500 0.5 1 1.5 2 2.5 3– 5500 1 2 3 4 5 6– 5– 10– 15– 10– 20– 15Temperature <strong>change</strong> (°C)– 25Temperature <strong>change</strong> (°C)A1B scenarioE1 scenarioNote:Annual <strong>change</strong>s <strong>in</strong> temperature <strong>and</strong> precipitation <strong>in</strong> northern (top panels) <strong>and</strong> southern <strong>Europe</strong> (bottom panels) for theperiods 2030–2049 (left panels) <strong>and</strong> 2080–2099 (right panels) relative to 1961–1990. GCM simulations for the SRES A1Bscenario, which assumes rather high population <strong>and</strong> economic growth <strong>and</strong> a balanced use of energy sources, are shown withgreen po<strong>in</strong>ts. Comparable simulations for the ENSEMBLES E1 mitigation scenario are shown with orange po<strong>in</strong>ts.Source: Johns et al., 2011.( 33 ) See the <strong>in</strong>troduction of Section 1.6 for the scientific use of the term uncerta<strong>in</strong>ty, which differs somewhat <strong>fr</strong>om its use <strong>in</strong> everydaylanguage.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201253


Changes <strong>in</strong> the climate systemlong-term observations of key components of theclimate system (<strong>in</strong> particular <strong>fr</strong>om the oceans). Someof these sources of uncerta<strong>in</strong>ty can be reduced byfurther research <strong>and</strong> data collection but they willnever be fully elim<strong>in</strong>ated. Assessments of climate<strong>impacts</strong> on human communities <strong>and</strong> ecosystems arefurther complicated by the need to consider relevant<strong>change</strong>s <strong>in</strong> economic, demographic, technical,<strong>in</strong>stitutional <strong>and</strong> cultural factors. F<strong>in</strong>ally, the climatesystem exhibits substantial natural variability, <strong>in</strong>particular on the regional level.In general, uncerta<strong>in</strong>ties about future climate<strong>change</strong> are smaller for <strong>change</strong>s <strong>in</strong> temperaturethan for precipitation <strong>and</strong> other climate variables,for <strong>change</strong>s at global <strong>and</strong> cont<strong>in</strong>ental scales thanat regional scale, <strong>and</strong> for <strong>change</strong>s <strong>in</strong> mean climatethan for extreme events. The importance of differentsources of climate uncerta<strong>in</strong>ty also varies over time.Natural climate variability <strong>and</strong> model uncerta<strong>in</strong>tyis the dom<strong>in</strong>at<strong>in</strong>g factor <strong>in</strong> the short term. On timescales of 50 years <strong>and</strong> longer, scenario uncerta<strong>in</strong>tybecomes the ma<strong>in</strong> source of the uncerta<strong>in</strong>ty abouttemperature <strong>change</strong> whereas model uncerta<strong>in</strong>tyrema<strong>in</strong>s the ma<strong>in</strong> source of uncerta<strong>in</strong>ty forprecipitation (Cox <strong>and</strong> Stephenson, 2007; Hawk<strong>in</strong>s<strong>and</strong> Sutton, 2009; 2011).Provid<strong>in</strong>g the best available scientific <strong>in</strong>formationto decision-makers, <strong>in</strong>clud<strong>in</strong>g a characterisation ofuncerta<strong>in</strong>ties, helps narrow<strong>in</strong>g the range of possiblefuture conditions that policies need to address. Forexample, Figure 2.4 depicts key aspects of futureclimate <strong>change</strong> <strong>in</strong> northern <strong>and</strong> southern <strong>Europe</strong>for two future periods (see Section 2.2 for further<strong>in</strong>formation on observed <strong>and</strong> projected climate<strong>change</strong> <strong>in</strong> <strong>Europe</strong>). Key uncerta<strong>in</strong>ties are depictedby show<strong>in</strong>g the results for two different emissionsscenarios <strong>and</strong> for several climate models separately.One robust conclusion is that both regions areexpected to warm further, whereby the detailsdepend on the region, emissions scenario, climatemodel <strong>and</strong> time horizon. Furthermore, (almost)all climate models agree that northern <strong>Europe</strong> willbecome substantially wetter annually averaged<strong>and</strong> <strong>in</strong> particular <strong>in</strong> w<strong>in</strong>ter (see Section 2.2). Allmodels agree that southern <strong>Europe</strong> will becomedrier towards the end of the 21st century undera bus<strong>in</strong>ess-as-usual precipitation scenarioannually averaged <strong>and</strong> <strong>in</strong> particular <strong>in</strong> summer(see Section 2.2). Projected precipitation <strong>change</strong>s <strong>in</strong>the first half of the 21st century <strong>and</strong> for a mitigationscenario are less certa<strong>in</strong>. F<strong>in</strong>ally, differences betweenemissions scenarios <strong>in</strong>crease over time.2.2 Key climate variables2.2.1 OverviewRelevanceAnthropogenic emissions of GHGs are thedom<strong>in</strong>at<strong>in</strong>g cause of the observed rapid <strong>in</strong>creases<strong>in</strong> global average temperature over recent decades.Natural factors like volcanoes <strong>and</strong> solar activitycan expla<strong>in</strong> a large portion of the temperaturevariability up to the middle of the 20th century butcan only expla<strong>in</strong> a small part of the warm<strong>in</strong>g trendover the past 50 years. Changes <strong>in</strong> precipitation<strong>and</strong> storm<strong>in</strong>ess have been more varied than thetemperature trend but they can also exert major<strong>impacts</strong> on natural <strong>and</strong> social systems.Key messages: 2.2 Key climate variables• Three <strong>in</strong>dependent records show long-term warm<strong>in</strong>g trends of global <strong>and</strong> <strong>Europe</strong>an average annualtemperature s<strong>in</strong>ce the end of the 19th century, with most rapid <strong>in</strong>creases <strong>in</strong> recent decades. Thelast decade (2002–2011) was the warmest on record globally <strong>and</strong> <strong>in</strong> <strong>Europe</strong>. Heat waves have also<strong>in</strong>creased <strong>in</strong> <strong>fr</strong>equency <strong>and</strong> length. All these <strong>change</strong>s are projected to cont<strong>in</strong>ue at an <strong>in</strong>creased pacethroughout the 21st century.• Precipitation <strong>change</strong>s across <strong>Europe</strong> show more spatial <strong>and</strong> temporal variability than temperature.S<strong>in</strong>ce the mid-20th century, annual precipitation has been generally <strong>in</strong>creas<strong>in</strong>g across most of northern<strong>Europe</strong>, most notably <strong>in</strong> w<strong>in</strong>ter, but decreas<strong>in</strong>g <strong>in</strong> parts of southern <strong>Europe</strong>. In western <strong>Europe</strong> <strong>in</strong>tenseprecipitation events have provided a significant contribution to the <strong>in</strong>crease. Most climate modelprojections show cont<strong>in</strong>ued precipitation <strong>in</strong>creases <strong>in</strong> northern <strong>Europe</strong> (most notably dur<strong>in</strong>g w<strong>in</strong>ter)<strong>and</strong> decreases <strong>in</strong> southern <strong>Europe</strong> (most notably dur<strong>in</strong>g summer). The number of days with highprecipitation is projected to <strong>in</strong>crease.• Observations of storm location, <strong>fr</strong>equency <strong>and</strong> <strong>in</strong>tensity show considerable variability across <strong>Europe</strong>dur<strong>in</strong>g the 20th century. Storm <strong>fr</strong>equency shows a general <strong>in</strong>creas<strong>in</strong>g trend <strong>fr</strong>om the 1960s to 1990s,followed by a decrease to the present. Available climate <strong>change</strong> projections show no clear consensus <strong>in</strong>either the direction of movement or the <strong>in</strong>tensity of storm activity.54 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemSelection of <strong>in</strong>dicatorsThis section presents the follow<strong>in</strong>g <strong>in</strong>dicators onthe key atmospheric climate variables temperature,precipitation <strong>and</strong> storm<strong>in</strong>ess.• Global <strong>and</strong> <strong>Europe</strong>an temperature: Global averagetemperature is the key climate variable to trackanthropogenic climate <strong>change</strong>. It is also the onlyclimate variable for which a political target exists(see Section 1.3). <strong>Europe</strong>an average temperatureis more relevant for assess<strong>in</strong>g <strong>impacts</strong> of climate<strong>change</strong> <strong>in</strong> <strong>Europe</strong>, <strong>and</strong> for <strong>in</strong>form<strong>in</strong>g adaptationplann<strong>in</strong>g.• Temperature extremes: This <strong>in</strong>dicator presents<strong>in</strong>formation on heat <strong>and</strong> cold extremes <strong>in</strong><strong>Europe</strong>. Heat extremes are one of the mostdeadly <strong>and</strong> expensive climatic hazards <strong>in</strong><strong>Europe</strong>.• Precipitation: This <strong>in</strong>dicator presents <strong>in</strong>formationon average annual <strong>and</strong> seasonal precipitation <strong>in</strong><strong>Europe</strong>. Precipitation is a key climate variablewith major importance for all ecosystems <strong>and</strong>social systems.• Precipitation extremes: This <strong>in</strong>dicator presents<strong>in</strong>formation on daily precipitation extremes<strong>and</strong> dry spells, which is import to <strong>in</strong>form floodprotection <strong>and</strong> drought management.• Storm<strong>in</strong>ess: Storms are one of the most importantweather hazards <strong>in</strong> <strong>Europe</strong>.Data quality <strong>and</strong> data needsThe presented key atmospheric climate variables area subset of the Essential <strong>Climate</strong> Variables (ECVs)def<strong>in</strong>ed through the Global <strong>Climate</strong> Observ<strong>in</strong>gSystem (GCOS) ( 34 ). Spatial <strong>and</strong> temporal coverageof the observed climate variables varies significantlyacross the globe; it is generally best over <strong>Europe</strong> <strong>and</strong>North America.Regular <strong>in</strong>strumental measurements of temperature<strong>and</strong> precipitation started around 1850; s<strong>in</strong>ce thenmonthly <strong>in</strong>formation about global temperature<strong>and</strong> precipitation have become available. A densenetwork of stations across the globe, <strong>and</strong> particularly<strong>in</strong> <strong>Europe</strong>, now provide regular monitor<strong>in</strong>g of keyatmospheric climate variables, us<strong>in</strong>g st<strong>and</strong>ardisedmeasurements, quality control <strong>and</strong> homogeneityprocedures at <strong>Europe</strong>an level. However, evenwhere sufficient data are available, severalproblems can limit their use for analysis. Theseproblems are ma<strong>in</strong>ly connected with 1) limitationsof distribut<strong>in</strong>g data <strong>in</strong> high spatial <strong>and</strong> temporalresolution by many countries, 2) unavailabilityof data <strong>in</strong> easy-to‐use digital format, <strong>and</strong> 3) lackof data homogeneity. The situation <strong>in</strong> <strong>Europe</strong> isimprov<strong>in</strong>g s<strong>in</strong>ce several EU-funded projects (suchas ECA&D ( 35 ) <strong>and</strong> EURO4M ( 36 )) have startedto collect, digitalise <strong>and</strong> homogenise additionaltime series of the Essential <strong>Climate</strong> Variables. Inaddition, EUMETNET ( 37 ) <strong>in</strong>itiated an optionalprogramme, EUMETGRID ( 38 ), which aims todevelop <strong>and</strong> ma<strong>in</strong>ta<strong>in</strong> a susta<strong>in</strong>able common data<strong>in</strong><strong>fr</strong>astructure for access to <strong>and</strong> distribution ofgridded climate <strong>in</strong>formation <strong>in</strong> <strong>Europe</strong> <strong>and</strong> establishrecommendations of best practices for establish<strong>in</strong>gnational <strong>and</strong> <strong>Europe</strong>an gridded datasets.( 34 ) See http://www.wmo.<strong>in</strong>t/pages/prog/gcos/<strong>in</strong>dex.php.( 35 ) See http://eca.knmi.nl.( 36 ) See http://www.euro4m.eu.( 37 ) EUMETNET is a group<strong>in</strong>g of 29 <strong>Europe</strong>an National Meteorological Services that provides a <strong>fr</strong>amework to organise cooperativeprogrammes between its members <strong>in</strong> the various fields of basic meteorological activities (http://www.eumetnet.eu).( 38 ) See http://eumetgrid.met.no.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201255


Changes <strong>in</strong> the climate system2.2.2 Global <strong>and</strong> <strong>Europe</strong>an temperatureRelevanceThis <strong>in</strong>dicator summarises <strong>change</strong>s <strong>in</strong> averagenear‐surface temperature for the globe <strong>and</strong> for aregion cover<strong>in</strong>g the 39 EEA member <strong>and</strong> cooperat<strong>in</strong>gcountries ( 39 ). Near-surface air temperature givesone of the clearest <strong>and</strong> most consistent signals ofglobal <strong>and</strong> regional climate <strong>change</strong>. A dense networkof stations across the globe, <strong>and</strong> particularly <strong>in</strong><strong>Europe</strong>, provide regular monitor<strong>in</strong>g of temperature,us<strong>in</strong>g st<strong>and</strong>ardised measurements, quality control<strong>and</strong> homogeneity procedures. Time series extendback for many decades or even centuries at somelocations.This <strong>in</strong>dicator directly refers to the follow<strong>in</strong>gpolicy‐relevant questions ( 40 ):• Will the global average temperature <strong>in</strong>creasestay with<strong>in</strong> the EU <strong>and</strong> UNFCCC policy target of2.0 °C above pre-<strong>in</strong>dustrial levels?• Will the rate of global average temperature<strong>in</strong>crease stay below the target of 0.2 °C <strong>in</strong>creaseper decade?Global average annual temperature is expressedhere relative to a 'pre-<strong>in</strong>dustrial' period between1850 <strong>and</strong> 1899, which co<strong>in</strong>cides with the beg<strong>in</strong>n<strong>in</strong>gof widespread <strong>in</strong>strumental temperature records.Dur<strong>in</strong>g this time, anthropogenic GHGs <strong>fr</strong>om the<strong>in</strong>dustrial revolution (between 1750 <strong>and</strong> 1850) areconsidered to have had a relatively small <strong>in</strong>fluenceon climate compared to natural <strong>in</strong>fluences. However,it should be noted that there is no rigorous scientificdef<strong>in</strong>ition of the term 'pre-<strong>in</strong>dustrial climate' becausethe climate has also <strong>change</strong>d prior to 1850 due to<strong>in</strong>ternal <strong>and</strong> forced natural variability.Key messages: 2.2.2 Global <strong>and</strong> <strong>Europe</strong>an temperatureGlobal:• Three <strong>in</strong>dependent long records of global average near-surface (l<strong>and</strong> <strong>and</strong> ocean) annual temperatureshow that the decade between 2002 <strong>and</strong> 2011 was 0.77 to 0.80 °C warmer than the pre-<strong>in</strong>dustrialaverage.• In recent decades, the rate of <strong>change</strong> <strong>in</strong> global average temperature has been close to the <strong>in</strong>dicativelimit of 0.2 °C per decade.• The Arctic has warmed significantly more than the globe, <strong>and</strong> this is projected to cont<strong>in</strong>ue <strong>in</strong>to thefuture.• The best estimate for the further rise <strong>in</strong> global average temperature is between 1.8 <strong>and</strong> 4.0 °C for thelowest <strong>and</strong> highest SRES marker scenarios (IPCC SRES) that assume no additional political measures tolimit emissions. When climate model uncerta<strong>in</strong>ties are taken <strong>in</strong>to account, the likely range <strong>in</strong>creases to1.1–6.4 °C.• The EU target of limit<strong>in</strong>g global average temperature <strong>in</strong>crease to 2 °C above pre-<strong>in</strong>dustrial levels isprojected to be exceeded dur<strong>in</strong>g the second half of this century <strong>and</strong> likely around 2050, for all six IPCCSRES emissions scenarios.<strong>Europe</strong>:• Annual average temperature across <strong>Europe</strong>an l<strong>and</strong> areas has warmed more than global averagetemperature, <strong>and</strong> slightly more than global l<strong>and</strong> temperature. The average temperature for the<strong>Europe</strong>an l<strong>and</strong> area for the last decade (2002–2011) is 1.3 °C above the pre-<strong>in</strong>dustrial level, whichmakes it the warmest decade on record.• Annual average l<strong>and</strong> temperature over <strong>Europe</strong> is projected to cont<strong>in</strong>ue <strong>in</strong>creas<strong>in</strong>g by more thanglobal average temperature dur<strong>in</strong>g the 21st century. Increases <strong>in</strong> l<strong>and</strong> temperature <strong>in</strong> <strong>Europe</strong> forthe SRES A1B emission scenario are projected between 1.0 <strong>and</strong> 2.5 °C by 2021–2050, <strong>and</strong> between2.5 <strong>and</strong> 4.0 °C by 2071–2100.• The largest temperature <strong>in</strong>creases dur<strong>in</strong>g the 21st century are projected over eastern <strong>and</strong> northern<strong>Europe</strong> <strong>in</strong> w<strong>in</strong>ter <strong>and</strong> over southern <strong>Europe</strong> <strong>in</strong> summer.( 39 ) In this section, EEA <strong>Europe</strong> is def<strong>in</strong>ed as the area between 35 °N to 70 °N <strong>and</strong> 25 °W to 30 °E, plus the area <strong>fr</strong>om 35 °N to 40 °N<strong>and</strong> 30 °E to 45 °E (<strong>in</strong>clud<strong>in</strong>g also the Asian part of Turkey).( 40 ) The <strong>Europe</strong>an Council proposed <strong>in</strong> its Sixth Environmental Action Programme (EC, 2002) that the global average temperature<strong>in</strong>crease should be limited to not more than 2 °C above pre-<strong>in</strong>dustrial levels (about 1.3 °C above current global mean temperature).This limit was reaffirmed by the Environment Council <strong>and</strong> the <strong>Europe</strong>an Council <strong>in</strong> 2005. Furthermore, the UNFCCC 15th Conferenceof the Parties (COP15) recognised, <strong>in</strong> the Copenhagen Accord (UNFCCC, 2009) the scientific evidence for the need to keep globalaverage temperature <strong>in</strong>crease below 2 °C above pre-<strong>in</strong>dustrial levels (see Section 1.3). In addition, several studies have proposed tolimit the rate of anthropogenic warm<strong>in</strong>g to 0.2 °C per decade (WBGU, 2003; van Vliet <strong>and</strong> Leemans, 2005).56 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemPast trendsGlobal:S<strong>in</strong>ce the end of the 19th century, records of globalaverage temperature have shown long-termwarm<strong>in</strong>g trends which have been especially rapid <strong>in</strong>the most recent decades. Relative to pre-<strong>in</strong>dustrialtemperatures (taken here to be comparable with theearliest observations at the end of the 19th century),three <strong>in</strong>dependent analyses of global averagetemperature us<strong>in</strong>g near-surface observation records— HadCRUT3 (Brohan et al., 2006); NOAA-NCDC(Smith et al., 2008); <strong>and</strong> NASA-GISS (Hansen et al.,2010) — show similar amounts of warm<strong>in</strong>g by the2002 to 2011 decade of 0.77 °C, 0.78 °C <strong>and</strong> 0.80 °C,respectively (Figure 2.5 left). This magnitude ofwarm<strong>in</strong>g corresponds to more than one third of the2 °C warm<strong>in</strong>g permitted under the global climatestabilisation target of the EU <strong>and</strong> UNFCCC.Figure 2.5 (left) shows estimates (based on<strong>in</strong>strumental measurements) of air temperatures at2 m height over l<strong>and</strong>, <strong>and</strong> sea surface temperaturesobserved <strong>fr</strong>om ships <strong>and</strong> buoys. The variousestimates differ slightly because the underly<strong>in</strong>gsources differ <strong>in</strong> their methods for analys<strong>in</strong>g thedata <strong>and</strong> fill<strong>in</strong>g data gaps. Another <strong>in</strong>dependentmethod that can be used to estimate <strong>change</strong>s <strong>in</strong>global average temperature is through '<strong>Climate</strong>reanalysis' (see Box 2.2).The rate of <strong>change</strong> <strong>in</strong> global average temperaturedur<strong>in</strong>g the last century was on average around0.07 °C per decade (for all three analyses shown<strong>in</strong> Figure 2.5). The rate of <strong>change</strong> <strong>in</strong>creased toaround 0.15 °C per decade averaged over the past50 years, <strong>and</strong> between 0.17 <strong>and</strong> 0.22 °C over the last20 years (Figure 2.5 right). This rate is close to the<strong>in</strong>dicative limit of 0.2 °C per decade proposed bysome scientific studies (WBGU, 2003; van Vliet <strong>and</strong>Leemans, 2005).Figure 2.5 Change <strong>in</strong> global average temperature <strong>fr</strong>om three sources (1850–2011)Global average temperature <strong>change</strong> (°C)relative to pre-<strong>in</strong>dustrialRate of <strong>change</strong> (°C/decade)0.50.20.00.50.1– 0.50.0– 0.1– 1.01850 1900 1950 2000Met Office Hadley Centre <strong>and</strong> UEA ClimaticResearch UnitNOAA National Climatic Data CenterNASA Goddard Institute for Space Studies0.0– 0.21850 1900 1950 2000Met Office Hadley Centre <strong>and</strong> UEA ClimaticResearch UnitNOAA National Climatic Data CenterNASA Goddard Institute for Space StudiesNote:Change (left) <strong>and</strong> rates of <strong>change</strong>, based on 10-year runn<strong>in</strong>g average (right) <strong>in</strong> global average air temperature. Temperatureis expressed <strong>in</strong> degrees Celsius (°C) relative to a pre-<strong>in</strong>dustrial basel<strong>in</strong>e period. The upper time series on the left graph showsannual anomalies <strong>and</strong> the lower time series shows decadal average anomalies for the same datasets.Source: 1) Black l<strong>in</strong>e — HadCRUT3 <strong>fr</strong>om the UK Met Office Hadley Centre <strong>and</strong> University of East Anglia <strong>Climate</strong> Research Unit,basel<strong>in</strong>e period 1850–1899 (Brohan et al., 2006). The grey area represents the 95 % confidence range.2) Red l<strong>in</strong>e — MLOST <strong>fr</strong>om the US National Oceanic <strong>and</strong> Atmospheric Adm<strong>in</strong>istration (NOAA) National Climatic Data Center,basel<strong>in</strong>e period 1880–1899 (Smith et al., 2008).3) Blue l<strong>in</strong>e — GISSTemp <strong>fr</strong>om the National Aeronautics <strong>and</strong> Space Adm<strong>in</strong>istration (NASA) Goddard Institute for SpaceStudies, basel<strong>in</strong>e period 1880–1899 (Hansen et al., 2010).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201257


Changes <strong>in</strong> the climate systemBox 2.2<strong>Climate</strong> reanalysesReanalysis is a method to reconstruct the past state of the atmosphere <strong>and</strong> oceans <strong>in</strong> a coherent way bycomb<strong>in</strong><strong>in</strong>g available observations with numerical models. These reconstructions are created with model-baseddata assimilation methods which are similar to those used for numerical weather prediction. Us<strong>in</strong>g this approachit is possible to extract useful <strong>in</strong>formation about ra<strong>in</strong>fall us<strong>in</strong>g temperature <strong>and</strong> humidity observation <strong>fr</strong>omsatellites, or to <strong>in</strong>fer large-scale features of the global circulation <strong>in</strong> the early 20th century us<strong>in</strong>g only surfacepressure observations available at that time (Compo et al., 2011). Reanalysis is a rapidly evolv<strong>in</strong>g field, <strong>and</strong>new reanalysis products benefit <strong>fr</strong>om recent modell<strong>in</strong>g capabilities, improved techniques <strong>in</strong> data assimilation, <strong>in</strong>the latest observation techniques (i.e. <strong>fr</strong>om satellite measurements), <strong>and</strong> newly digitalised historical datasets(Blunden et al., 2011). Reanalyses also allow the user to estimate temperature, humidity, w<strong>in</strong>d <strong>and</strong> precipitationover regions where <strong>in</strong> situ observations are not available (e.g. Polar regions, or large areas of A<strong>fr</strong>ica). In recentyears, datasets <strong>fr</strong>om reanalyses have been widely used for research <strong>in</strong> the atmospheric <strong>and</strong> ocean sciences <strong>and</strong> <strong>in</strong>climate services.Global average surface temperature anomalies <strong>fr</strong>om <strong>in</strong> situ temperature measurements <strong>and</strong> <strong>fr</strong>om variousreanalyses are presented <strong>in</strong> Figure 2.6. In situ temperature anomalies use temperature measurements over l<strong>and</strong><strong>and</strong> sea. While they differ <strong>in</strong> their methods, which can lead to differences <strong>in</strong> rank<strong>in</strong>g years, all time series are close<strong>in</strong> agreement. Global average temperature datasets <strong>fr</strong>om reanalyses have larger spread than those obta<strong>in</strong>ed <strong>fr</strong>om<strong>in</strong> situ observations due to complex construction of the reanalyses.Reanalyses are explicitly <strong>and</strong> implicitly used <strong>in</strong> various sections of this report.Figure 2.6Global average surface temperature anomalies <strong>fr</strong>om <strong>in</strong> situ observations <strong>and</strong><strong>fr</strong>om reanalysisSurface temperature anomaly ( o C)0.5A)0.0– 0.5– 1.00.5B)0.0– 0.5– 1.01880 1890 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010A) In situ l<strong>and</strong> <strong>and</strong> oceanB) Reanalysis l<strong>and</strong> <strong>and</strong> oceanNOAA/NCDCNASA/GISSERA-InterimHadCRUT3 JMA MERRAJRA-25/JCDASNote:For the <strong>in</strong> situ datasets near-surface (2 m) air temperature is used over l<strong>and</strong> <strong>and</strong> sea surface temperature over theoceans. For the reanalyses a 2 m temperature is used over the whole globe. In situ datasets use the 1961–1990 baseperiod whereas all other reanalysis datasets use the 1989–2008 base period. However, to aid comparison, all time serieshave been adjusted such that they give a mean of zero over the common period 1989–2001.Source: Blunden et al., 2011.58 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate system<strong>Europe</strong>:The decadal average temperature over <strong>Europe</strong>anl<strong>and</strong> areas <strong>in</strong>creased by approximately 1.3 °C(± 0.11 °C) between pre-<strong>in</strong>dustrial times <strong>and</strong> thedecade of 2002 to 2011 (Figure 2.7 upper). The<strong>in</strong>terannual temperature variability over <strong>Europe</strong> isgenerally much higher <strong>in</strong> w<strong>in</strong>ter (Figure 2.7 middle)than <strong>in</strong> summer. The relatively rapid warm<strong>in</strong>g trends<strong>in</strong>ce the 1980s is most clearly evident <strong>in</strong> the summer(Figure 2.7 lower).Particularly large warm<strong>in</strong>g has been observed<strong>in</strong> the past 50 years over the Iberian Pen<strong>in</strong>sula,across central <strong>and</strong> north-eastern <strong>Europe</strong>, <strong>and</strong> <strong>in</strong>mounta<strong>in</strong>ous regions. Over the past 30 years,warm<strong>in</strong>g was the strongest over Sc<strong>and</strong><strong>in</strong>avia,especially <strong>in</strong> w<strong>in</strong>ter, whereas the Iberian Pen<strong>in</strong>sulawarmed mostly <strong>in</strong> summer (Haylock et al., 2008)(Map 2.1).ProjectionsGlobal:The global average temperature will cont<strong>in</strong>ueto <strong>in</strong>crease throughout the 21st century as aresult of projected further <strong>in</strong>creases <strong>in</strong> GHGconcentrations (Figure 2.8). Forced by a range offuture possible emissions scenarios (IPCC SRESscenarios (Nakicenovic <strong>and</strong> Swart, 2000)), thecentral estimate for the warm<strong>in</strong>g averaged for thenear future (2011–2030) compared to 1980–1999 isbetween + 0.64 °C <strong>and</strong> + 0.69 °C (Solomon et al.,2007). By the mid‐century (2046–2065), projected<strong>in</strong>creases of between + 1.3 °C <strong>and</strong> + 1.8 °C for thesame models <strong>and</strong> scenarios were noted, <strong>and</strong> by thelate 21st century (2090–2099), these ranged between+ 1.8 °C <strong>and</strong> + 4.0 °C. When model uncerta<strong>in</strong>ty is<strong>in</strong>cluded, the likely range extends to 1.1 to 6.4 °C, asshown by the grey bars to the right of Figure 2.8.Figure 2.7<strong>Europe</strong>an average temperature (1850–2011) over l<strong>and</strong> areas for annual (upper),w<strong>in</strong>ter (middle) <strong>and</strong> summer (lower) periodsChange (°C)2Annual10– 121W<strong>in</strong>ter0– 12Summer10– 11850 1900 1950 2000Met Office Hadley Centre <strong>and</strong> UEA Climatic Research UnitNOAA National Climatic Data CenterNASA Goddard Institute for Space StudiesNote: Datasets, pre-<strong>in</strong>dustrial periods <strong>and</strong> techniques are the same as for Figure 2.5.Source:1) Black l<strong>in</strong>e — HadCRUT3 <strong>fr</strong>om the UK Met Office Hadley Centre <strong>and</strong> University of East Anglia <strong>Climate</strong> Research Unit,basel<strong>in</strong>e period 1850–1899 (Brohan et al., 2006). The grey area represents the 95 % confidence range.2) Red l<strong>in</strong>e — MLOST <strong>fr</strong>om the US National Oceanic <strong>and</strong> Atmospheric Adm<strong>in</strong>istration (NOAA) National Climatic Data Center,basel<strong>in</strong>e period 1880–1899 (Smith et al., 2008).3) Blue l<strong>in</strong>e — GISSTemp <strong>fr</strong>om the National Aeronautics <strong>and</strong> Space Adm<strong>in</strong>istration (NASA) Goddard Institute for SpaceStudies, basel<strong>in</strong>e period 1880–1899 (Hansen et al., 2010).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201259


Changes <strong>in</strong> the climate systemMap 2.1Trend <strong>in</strong> annual temperatureacross <strong>Europe</strong> (1960–2012)Figure 2.8Projected <strong>change</strong>s <strong>in</strong> globalaverage temperature based onmulti-model simulations70N60N50NGlobal surface warm<strong>in</strong>g (°C)6.05.04.03.040N2.01.0+ 2 °C target0.030N121086Note:15W 0 15E 30EChange <strong>in</strong> annual mean temperature (TG, °C/decade)0 0.10 0.20 0.30 0.40 0.50TG (°C)1955 1965 1975 1985 1995 2005 2015Trend: 0.32 °C per decade (0.22 to 0.40)Trend: 0.34 °C per decade (0.21 to 0.44)Grid boxes outl<strong>in</strong>ed <strong>in</strong> solid black conta<strong>in</strong> at least threestations <strong>and</strong> so are likely to be more representative ofthe grid box. High confidence <strong>in</strong> the long-term trend isshown by a black dot. (In the map above, this is thecase for all grid boxes.) Area averaged annual timeseries of percentage <strong>change</strong>s <strong>and</strong> trend l<strong>in</strong>es are shownbelow each map for one area <strong>in</strong> northern <strong>Europe</strong> (greenl<strong>in</strong>e, 5.6 ° to 16.9 °E <strong>and</strong> 56.2 ° to 66.2 °N) <strong>and</strong> one<strong>in</strong> south-western <strong>Europe</strong> (purple l<strong>in</strong>e, 350.6 ° to 1.9 °E<strong>and</strong> 36.2 ° to 43.7 °N).– 1.0Note:1900 2000 2100A2A1BB1Year 2000 constant concentrations20th centuryB1A1TB2A1BA2A1FlSolid l<strong>in</strong>es are multi-model global averages ofsurface warm<strong>in</strong>g (relative to 1980–1999; add 0.6 °Cto estimate warm<strong>in</strong>g relative to the pre-<strong>in</strong>dustrialperiod) for the scenarios A2, A1B <strong>and</strong> B1, shown ascont<strong>in</strong>uations of the 20th century simulations. Shad<strong>in</strong>gdenotes the ± 1 st<strong>and</strong>ard deviation range of <strong>in</strong>dividualmodel projections. The orange l<strong>in</strong>e is for an experimentwhere GHG concentrations were held constant at year2000 values. The grey bars at right <strong>in</strong>dicate the bestestimate (solid l<strong>in</strong>e with<strong>in</strong> each bar) <strong>and</strong> the likelyrange assessed for the six SRES marker scenarios.The assessment of the best estimate <strong>and</strong> likely ranges<strong>in</strong> the grey bars <strong>in</strong>cludes the Atmosphere‐OceanGlobal Circulation Models (AOGCM) <strong>in</strong> the left partof the figure, as well as results <strong>fr</strong>om a hierarchy of<strong>in</strong>dependent models <strong>and</strong> observational constra<strong>in</strong>ts.Source: IPCC, 2007a.Source: ECA&D dataset (Kle<strong>in</strong> Tank <strong>and</strong> Wijngaard, 2002).None of the SRES emissions scenarios <strong>in</strong>cludesspecific policies to limit GHG emissions. Therange results <strong>fr</strong>om the uncerta<strong>in</strong>ties <strong>in</strong> futuresocio‐economic development <strong>and</strong> <strong>in</strong> climate models.The EU <strong>and</strong> UNFCCC target of limit<strong>in</strong>g globalaverage warm<strong>in</strong>g to not more than 2.0 °C abovepre‐<strong>in</strong>dustrial levels is projected to be exceededaround 2050 for all SRES scenarios considered here.The future projections show greatest warm<strong>in</strong>g overl<strong>and</strong> (roughly twice the global average warm<strong>in</strong>g)<strong>and</strong> at high northern latitudes. These trends areconsistent with the observations dur<strong>in</strong>g the latterpart of the 20th century (Solomon et al., 2007).Four representative concentration pathways (RCPs)have been developed recently to succeed the IPCCSRES emissions scenarios (see Section 1.5.1). RCPsaim to span the whole range of plausible emissionscenarios, <strong>in</strong>clud<strong>in</strong>g mitigation scenarios, until 2100.RCPs will be the basis of the climate projections <strong>in</strong>the forthcom<strong>in</strong>g IPCC Fifth Assessment Report.60 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemSeveral studies have applied global climate modelsto estimate the warm<strong>in</strong>g associated with differentRCPs. These studies project an <strong>in</strong>crease <strong>in</strong> globalmean temperature by 2100, relative to pre<strong>in</strong>dustriallevels (1850–1900), of 1.5–2.3 °C for the lowest RCP(RCP2.6) to 4.5–5.8 °C for the highest RCP (RCP8.5)(Arora et al., 2011; Me<strong>in</strong>shausen et al., 2011; Meehlet al., 2012). The RCPs have been extended until 2300by the so-called extended concentration pathways(ECPs). Simulations us<strong>in</strong>g the ECPs suggest bestestimates for global mean temperature <strong>in</strong>crease by2300, relative to pre<strong>in</strong>dustrial levels, of 1.1 °C for theextension of RCP2.6 to 8.0 °C for the extension ofRCP8.5 (Me<strong>in</strong>shausen et al., 2011).<strong>Europe</strong>:The average temperature over <strong>Europe</strong> is projectedto cont<strong>in</strong>ue <strong>in</strong>creas<strong>in</strong>g throughout the 21st century.Accord<strong>in</strong>g to results <strong>fr</strong>om the ENSEMBLES project(van der L<strong>in</strong>den <strong>and</strong> Mitchell, 2009) the annualaverage l<strong>and</strong> temperature over <strong>Europe</strong> is projectedto <strong>in</strong>crease by more than global l<strong>and</strong> temperature.The annual temperature for <strong>Europe</strong> is projected to<strong>in</strong>crease by 1.0 °C to 2.5 °C (between periods2021–2050 <strong>and</strong> 1961–1990) <strong>and</strong> 2.5 °C to 4.0 °C(between periods 2071–2100 <strong>and</strong> 1961–1990).The warm<strong>in</strong>g is projected to be the greatest <strong>in</strong>north‐eastern <strong>Europe</strong> <strong>and</strong> Sc<strong>and</strong><strong>in</strong>avia <strong>in</strong> w<strong>in</strong>ter <strong>and</strong>over southern <strong>Europe</strong> <strong>in</strong> summer (Map 2.2). Note thatmaps about trends <strong>and</strong> projections are not directlycomparable because complex processes, variability<strong>and</strong> feedbacks mean that past trends cannot beassumed to cont<strong>in</strong>ue at the same rate <strong>in</strong>to the future.Map 2.2Projected <strong>change</strong>s <strong>in</strong> annual, summer <strong>and</strong> w<strong>in</strong>ter temperature across <strong>Europe</strong>Annual, 2021–2050Summer, 2021–2050W<strong>in</strong>ter, 2021–205050°50°50°40°40°40°0°10°20°30°40°0°10°20°30°40°0°10°20°30°40°Annual, 2071–2100Summer, 2071–2100W<strong>in</strong>ter, 2071–210050°50°50°40°40°40°0°10°20°30°40°0°10°20°30°40°0°10°20°30°40°Projected <strong>change</strong>s <strong>in</strong> annual, summer <strong>and</strong> w<strong>in</strong>ter temperature 2021–2050 (top) <strong>and</strong> 2071–2100 (bottom)0.5 1 1.5 2 2.5 3 3.5 4 4.5°C No dataNote:Projected <strong>change</strong>s <strong>in</strong> annual (left), summer (JJA; centre), <strong>and</strong> w<strong>in</strong>ter (DJF; right) near-surface air temperature (°C) for theperiod 2021–2050 (above) <strong>and</strong> 2071–2100 (below), compared to 1961–1990. Projections are based on the ENSEMBLESproject. They have been obta<strong>in</strong>ed <strong>fr</strong>om different regional climate models (RCMs) perform<strong>in</strong>g at 25 km spatial resolution withboundary conditions <strong>fr</strong>om five global climate models (GCMs), all us<strong>in</strong>g the IPCC SRES A1B emission scenario.Source: van der L<strong>in</strong>den <strong>and</strong> Mitchell, 2009.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201261


Changes <strong>in</strong> the climate system2.2.3 Temperature extremesRelevanceGlobal climate <strong>change</strong> is affect<strong>in</strong>g the <strong>fr</strong>equency<strong>and</strong> <strong>in</strong>tensity of extreme events. Extremes of bothwarm <strong>and</strong> cool temperature are important <strong>in</strong>dicatorsas they can have strong <strong>impacts</strong> on natural as wellas human systems. Importantly, a temperaturethat is 'normal' for one region may be extreme foranother region that has not regularly experiencedthis temperature <strong>in</strong> the past. For example, mortalityhas been estimated to <strong>in</strong>crease by between 1 <strong>and</strong>4 % for every 1 °C <strong>in</strong>crease above a locationspecifictemperature threshold, with the elderly,disabled <strong>and</strong> socio‐economically deprived at mostrisk (Bacc<strong>in</strong>i et al., 2008; EEA, 2011a) (see alsoSection 4.4).Past trendsExtreme high temperatures, for example numberof warm days <strong>and</strong> nights <strong>and</strong> heat waves, havebecome more <strong>fr</strong>equent <strong>in</strong> the past while extremelow temperatures, for example cool days <strong>and</strong> nights,cold spells <strong>and</strong> <strong>fr</strong>ost days, have become less <strong>fr</strong>equent(Kle<strong>in</strong> Tank <strong>and</strong> Wijngaard, 2002; IPCC, 2007b). Theaverage length of summer heat waves over western<strong>Europe</strong> has doubled s<strong>in</strong>ce 1880, <strong>and</strong> the <strong>fr</strong>equencyof hot days has almost tripled (Della-Marta et al.,2007). All these observations are consistent with thegeneral warm<strong>in</strong>g trend observed across <strong>Europe</strong>.S<strong>in</strong>ce 1960, significant <strong>in</strong>creases <strong>in</strong> the number ofwarm days <strong>and</strong> nights, <strong>and</strong> decreases <strong>in</strong> the numberof cool days <strong>and</strong> nights have been noted throughout<strong>Europe</strong> (Map 2.3). Between 1960 <strong>and</strong> 2011, thenumber of warm days <strong>in</strong>creased by between 4 <strong>and</strong>10 days per decade across <strong>Europe</strong>, <strong>and</strong> the numberof warm nights <strong>in</strong>creased by between 5 <strong>and</strong> 11 perdecade (not shown). The number of cool nightsdecreased by between 1 <strong>and</strong> 6 per decade <strong>in</strong> thesame period. Western <strong>and</strong> central <strong>Europe</strong> haveshown the largest <strong>in</strong>creases <strong>in</strong> warm days/nights,<strong>and</strong> the Iberian pen<strong>in</strong>sula, north-western <strong>Europe</strong><strong>and</strong> Sc<strong>and</strong><strong>in</strong>avia have shown the largest warm<strong>in</strong>g<strong>in</strong> cool days/nights. Despite a clear long‐termwarm<strong>in</strong>g trend across <strong>Europe</strong>, it is normal toobserve considerable variability between <strong>and</strong> with<strong>in</strong>years. Further <strong>in</strong>formation on recent heat extremes isprovided <strong>in</strong> Box 2.3.ProjectionsExtreme high temperatures across <strong>Europe</strong> areprojected to become more <strong>fr</strong>equent <strong>and</strong> last longerdur<strong>in</strong>g this century (IPCC, 2007a; b; Haylock et al.,2008; Sillman <strong>and</strong> Roeckner, 2008; Seneviratne et al.,2012). These <strong>change</strong>s are consistent with projectionsof future average warm<strong>in</strong>g as well as observedtrends over recent decades.The number of days that comb<strong>in</strong>e a hot summer day(def<strong>in</strong>ed as hav<strong>in</strong>g a temperature exceed<strong>in</strong>g 35 °C)<strong>and</strong> a tropical night (def<strong>in</strong>ed as hav<strong>in</strong>g a m<strong>in</strong>imumtemperature higher than 20 °C) is a basic <strong>in</strong>dicator ofhuman comfort due to heat stress. Model projectionsproject the number of such comb<strong>in</strong>ed heat stress daysto double across most parts of southern <strong>Europe</strong> by2071 to 2100 (Map 2.4). The most severe <strong>in</strong>creases, ofabout 25 days per year, are projected <strong>in</strong> low‐altituderiver bas<strong>in</strong>s <strong>and</strong> along the Mediterranean coastswhere many densely populated urban centres arelocated (Fischer <strong>and</strong> Schär, 2010).Key messages: 2.2.3 Temperature extremes• Extremes of cold have become less <strong>fr</strong>equent <strong>in</strong> <strong>Europe</strong> while warm extremes have become more<strong>fr</strong>equent. S<strong>in</strong>ce 1880, the average length of summer heat waves over western <strong>Europe</strong> has doubled <strong>and</strong>the <strong>fr</strong>equency of hot days has almost tripled.• Recent cold w<strong>in</strong>ters <strong>in</strong> northern <strong>and</strong> western <strong>Europe</strong> do not contradict the general warm<strong>in</strong>g trend ondecadal time scales. Historic records show a clear long-term warm<strong>in</strong>g trend across <strong>Europe</strong> but it isnormal to observe considerable variability between <strong>and</strong> with<strong>in</strong> years due to natural variability.• Extreme high temperatures are projected to become more <strong>fr</strong>equent <strong>and</strong> last longer across <strong>Europe</strong> overthe 21st century.62 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemMap 2.3 Trends <strong>in</strong> warm days <strong>and</strong> cool nights across <strong>Europe</strong> (1960–2012)Warm daysCool nights70N70N60N60N50N50N40N40N30N30N15W 0 15E 30EChange <strong>in</strong> warm days (TX90p, days/decade)15W 0 15E 30EChange <strong>in</strong> cool nights (TN10p, days/decade)0 1 2 3 4 5 6 7 8 9 10TX90p (%)2520151051955 1965 1975 1985 1995 2005 2015Trend: 1.84 % per decade (1.17 to 2.41)Trend: 2.00 % per decade (1.37 to 2.54)– 10 – 9 – 8 – 7 – 6 – 5 – 4 – 3 – 2 – 1 0TN10p (%)2520151051955 1965 1975 1985 1995 2005 2015Trend: – 1.29 % per decade (– 1.83 to – 0.70)Trend: – 1.18 % per decade (– 1.67 to –0.77)Note:Warm days/nights are def<strong>in</strong>ed as be<strong>in</strong>g above the 90th percentile of the daily maximum/m<strong>in</strong>imum temperature <strong>and</strong> cooldays/nights are similarly below the 10th percentile (Alex<strong>and</strong>er et al., 2006). Grid boxes outl<strong>in</strong>ed <strong>in</strong> solid black conta<strong>in</strong> at leastthree stations <strong>and</strong> so are likely to be more representative of the grid-box. High confidence <strong>in</strong> the long-term trend is shownby a black dot. (In the maps above, this is the case for all grid boxes.) Area averaged annual time series of percentage<strong>change</strong>s <strong>and</strong> trend l<strong>in</strong>es are shown below each map for one area <strong>in</strong> northern <strong>Europe</strong> (green l<strong>in</strong>e, 5.6 ° to 16.9 °E <strong>and</strong> 56.2 °to 66.2 °N) <strong>and</strong> one <strong>in</strong> south-western <strong>Europe</strong> (purple l<strong>in</strong>e, 350.6 ° to 1.9 °E <strong>and</strong> 36.2 ° to 43.7 °N).Source: ECA&D dataset (Kle<strong>in</strong> Tank <strong>and</strong> Wijngaard, 2002).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201263


Changes <strong>in</strong> the climate systemBox 2.3A decade of <strong>Europe</strong>an temperature extremesRecent years have seen an exceptionally large number of record-break<strong>in</strong>g <strong>and</strong> destructive heat waves <strong>in</strong> manyparts of the world (Coumou <strong>and</strong> Rahmstorf, 2012). Several recent studies <strong>in</strong>dicate that many, possibly most, ofthese heat waves would not have occurred without anthropogenic climate <strong>change</strong>. The five warmest summers <strong>in</strong><strong>Europe</strong> <strong>in</strong> the last 500 years all occurred <strong>in</strong> the recent decade (2002–2011) (see Figure 2.9). In 2003, Western<strong>Europe</strong> suffered its hottest summer by far for at least 500 years (Luterbacher et al., 2001; Dobrovolny et al.,2010; Coumou <strong>and</strong> Rahmstorf, 2012), with temperatures <strong>in</strong> Switzerl<strong>and</strong> topp<strong>in</strong>g the previous record by a full2.4 °C, equivalent to 5.4 st<strong>and</strong>ard deviations (Rob<strong>in</strong>e et al., 2008). Greece experienced its hottest summer<strong>in</strong> 2007, with summer temperatures <strong>in</strong> Athens exceed<strong>in</strong>g the 1961–1990 mean by 3.3 °C, correspond<strong>in</strong>g to3.7 st<strong>and</strong>ard deviations (Founda <strong>and</strong> Giannakopoulos, 2009). In 2010, central Russia suffered its worst heat waves<strong>in</strong>ce records began, with the July temperature <strong>in</strong> Moscow beat<strong>in</strong>g the previous record by 2.5 °C.Figure 2.9 <strong>Europe</strong>an summer temperatures for 1500–2010Frequency100summer<strong>Europe</strong>an summer temperature8020106020032002401695200619231902182120188820070– 2Decadal <strong>fr</strong>equency9.006.754.50– 1 0 1 2Temperature (°C)2.250.001500 1550 1600 1650 1700 1750 1800 1850 1900 1950 2000Note:The upper panel shows the statistical <strong>fr</strong>equency distribution of <strong>Europe</strong>an (35 °N, 70 °N, 25 °W, 40 °E) summerl<strong>and</strong>‐temperature anomalies (relative to the 1970–1999 period) for the 1500–2010 period (vertical l<strong>in</strong>es). The fivewarmest <strong>and</strong> coldest summers are highlighted. Grey bars represent the distribution for the 1500–2002 period with aGaussian fit shown <strong>in</strong> black. The lower panel shows the runn<strong>in</strong>g decadal <strong>fr</strong>equency of extreme summers, def<strong>in</strong>ed asthose with a temperature above the 95th percentile of the 1500–2002 distribution. A 10-year smooth<strong>in</strong>g is applied.Source: Barriopedro et al., 2011. Repr<strong>in</strong>ted with permission <strong>fr</strong>om AAAS.64 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemMap 2.4Projections of extreme high temperatures1961–1990 2021–2050 2071–21000 1500 km 0 1500 km 0 1500 kmNumber of comb<strong>in</strong>ed tropical nights (> 20 °C) <strong>and</strong> hot days (> 35 °C)No data0 2 6 10 14 18 22 26 30 34 38 42 46 50Outside coverageNote:Extreme high temperatures are represented by the comb<strong>in</strong>ed number of hot summer (June–August) days (TMAX > 35 °C)<strong>and</strong> tropical nights (TMIN > 20 °C). All projections are the average of six regional climate model (RCM) simulations of theEU ENSEMBLES project us<strong>in</strong>g the IPCC SRES A1B emission scenario for the periods 1961–1990, 2021–2050 <strong>and</strong> 2071–2100.Source: Fischer <strong>and</strong> Schär, 2010. © Nature Publish<strong>in</strong>g Group. Repr<strong>in</strong>ted with permission.2.2.4 Mean precipitationRelevancePrecipitation plays a vital role <strong>in</strong> allhuman‐environment systems <strong>and</strong> sectors, <strong>in</strong>clud<strong>in</strong>gagriculture, water supply, energy production,tourism <strong>and</strong> natural ecosystems. Daily precipitationtotals are st<strong>and</strong>ard meteorological measures thathave been recorded systematically s<strong>in</strong>ce the 1860s.However, despite longevity of the precipitationrecord <strong>in</strong> certa<strong>in</strong> areas, the high spatial <strong>and</strong>temporal variability of precipitation means thatthe climate <strong>change</strong> signal cannot be detected withcerta<strong>in</strong>ty <strong>in</strong> all <strong>Europe</strong>an regions. Difficulties fordetect<strong>in</strong>g a significant trend can arise <strong>fr</strong>om thesmall sampl<strong>in</strong>g area of ra<strong>in</strong> gauges, calibrationerrors <strong>in</strong> <strong>in</strong>strumentation, erroneous measurementsdur<strong>in</strong>g weather conditions such as snow or gales,<strong>and</strong> <strong>fr</strong>om limited sampl<strong>in</strong>g of the spatial variabilityof precipitation, such as <strong>in</strong> mounta<strong>in</strong>ous areas.Therefore, observed <strong>and</strong> projected precipitation<strong>change</strong>s should always be considered <strong>in</strong> the contextof <strong>in</strong>terannual variability <strong>and</strong> the measurement ormodell<strong>in</strong>g uncerta<strong>in</strong>ty.Key messages: 2.2.4 Mean precipitation• Annual precipitation trends s<strong>in</strong>ce 1950 show an <strong>in</strong>crease by up to 70 mm per decade <strong>in</strong> north-eastern<strong>and</strong> north-western <strong>Europe</strong> <strong>and</strong> a decrease by up to 70 mm <strong>in</strong> some parts of southern <strong>Europe</strong>.• Seasonal precipitation trends show an <strong>in</strong>crease <strong>in</strong> w<strong>in</strong>ter precipitation <strong>in</strong> northern <strong>Europe</strong> <strong>and</strong> adecrease <strong>in</strong> southern <strong>Europe</strong>, albeit with large <strong>in</strong>terannual variations.• There is a robust signal <strong>fr</strong>om regional simulations across many parts of central <strong>and</strong> western <strong>Europe</strong>across all seasons. However, many parts of <strong>Europe</strong>, such as eastern <strong>and</strong> southern <strong>Europe</strong>, lack modelconsensus on the direction of <strong>change</strong>.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201265


Changes <strong>in</strong> the climate systemPast trendsAnnual precipitation records averaged across<strong>Europe</strong> show no significant <strong>change</strong>s s<strong>in</strong>ce 1950accord<strong>in</strong>g to the E-OBS dataset (Haylock et al., 2008),based on the <strong>Europe</strong>an <strong>Climate</strong> Assessment dataset(Klok <strong>and</strong> Kle<strong>in</strong> Tank, 2009). At the sub-cont<strong>in</strong>entalscale, the trend <strong>in</strong> precipitation is most significant<strong>in</strong> north-eastern <strong>and</strong> south-western <strong>Europe</strong>. Themajority of Sc<strong>and</strong><strong>in</strong>avia <strong>and</strong> the Baltic States haveobserved an <strong>in</strong>crease <strong>in</strong> annual precipitation ofgreater than 14 mm per decade, with an <strong>in</strong>creaseof up to 70 mm per decade <strong>in</strong> western Norway. Incontrast, annual precipitation has decreased <strong>in</strong> theIberian Pen<strong>in</strong>sula, <strong>in</strong> particular <strong>in</strong> north-westernSpa<strong>in</strong> <strong>and</strong> <strong>in</strong> northern Portugal (Map 2.5). Whilethere is some evidence l<strong>in</strong>k<strong>in</strong>g l<strong>and</strong> use, <strong>in</strong> particularforest cover, to local <strong>and</strong> regional precipitationpatterns (Millán, 2008), it is not clear if the relativelym<strong>in</strong>or l<strong>and</strong>-use <strong>change</strong>s s<strong>in</strong>ce 1950 have <strong>in</strong>fluencedthe observed precipitation trends.ProjectionsSeasonal mean precipitation values <strong>and</strong> <strong>in</strong>ter-annualvariability is better reproduced by an ensembleof RCMs than by any s<strong>in</strong>gle RCM (Beniston et al.,2007; Tapiador, 2010). Recent work, build<strong>in</strong>g onthe two EU-funded research projects PRUDENCE(Christensen et al., 2002) <strong>and</strong> ENSEMBLES (van derL<strong>in</strong>den <strong>and</strong> Mitchell, 2009) has shown that RCMshave a reasonably strong consensus across <strong>Europe</strong><strong>in</strong> predict<strong>in</strong>g <strong>change</strong>s <strong>in</strong> seasonal average ra<strong>in</strong>fall(Tapiador, 2010). These projections <strong>in</strong>dicate a general<strong>in</strong>crease <strong>in</strong> annual precipitation <strong>in</strong> northern <strong>Europe</strong><strong>and</strong> a decrease <strong>in</strong> southern <strong>Europe</strong>. The <strong>change</strong> <strong>in</strong>annual mean between 1961–1990 <strong>and</strong> 2071–2100accord<strong>in</strong>g to the ENSEMBLES project (van derL<strong>in</strong>den <strong>and</strong> Mitchell, 2009) varies between 10% <strong>and</strong>20 % <strong>in</strong> northern <strong>Europe</strong> <strong>and</strong> between – 5 to – 20 %<strong>in</strong> southern <strong>Europe</strong> <strong>and</strong> the Mediterranean (Map 2.6left). Projections for summer precipitation showa decrease over southern, central <strong>and</strong> northwest<strong>Europe</strong>, which can reach of up to 60 % <strong>in</strong> parts ofsouthern <strong>Europe</strong>. Precipitation is projected to rema<strong>in</strong>constant or to <strong>in</strong>crease slightly <strong>in</strong> northeast <strong>Europe</strong>(van der L<strong>in</strong>den <strong>and</strong> Mitchell, 2009; Tapiador, 2010)(Map 2.6 right).Map 2.570N60N50N40N30N1 2001 000800600Note:Total precipitationDrier– 87.5– 7015W 0 15E 30E– 52.5– 35PRCPTOT (mm)Trends <strong>in</strong> annual precipitationacross <strong>Europe</strong> (1960–2012)Change <strong>in</strong> annual precipitation (PRCPTOT, mm/decade)– 17.5017.5Trend: – 35.99 mm per decade (– 59.30 to – 10.14)Trend: 30.10 mm per decade (12.60 to 46.56)3552.570Wetter87.51955 1965 1975 1985 1995 2005 2015The trends are calculated us<strong>in</strong>g a median of pairwiseslopes algorithm. Black dots represent high confidence<strong>in</strong> the sign of the long-term trend <strong>in</strong> the box (if the5th to 95th percentile slopes are of the same sign).Boxes which have a thick outl<strong>in</strong>e conta<strong>in</strong> at leastthree stations. Area averaged annual time series ofpercentage <strong>change</strong>s <strong>and</strong> trend l<strong>in</strong>es are shown beloweach map for one area <strong>in</strong> northern <strong>Europe</strong> (bluel<strong>in</strong>e, 5.6 to 16.9 °E <strong>and</strong> 56.2 to 66.2 °N) <strong>and</strong> one <strong>in</strong>south‐western <strong>Europe</strong> (red l<strong>in</strong>e, 350.6 to 1.9 °E <strong>and</strong>36.2 to 43.7 °N).Source: HadEX dataset, updated with data <strong>fr</strong>om the ECA&Ddataset.66 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemMap 2.6Projected <strong>change</strong>s <strong>in</strong> annual (left) <strong>and</strong> summer (right) precipitation (%) between1961–1990 <strong>and</strong> 2071–2100Annual-10°0°10°20°30°40°50°60°70°Summer0°10°20°30°40°50°60°70°60°60°50°50°50°50°40°40°40°40°0 500 0° 1000 1500 10° km20°30°40°0 500 0° 1000 1500 10° km20°30°40°Projected <strong>change</strong>s <strong>in</strong> precipitation(%)< – 30– 30 to – 20– 20 to – 15– 15 to – 10– 10 to – 5– 5 to 55 to 1010 to 1515 to 20> 20No dataNote:Projections are based on the ENSEMBLES project. They have been obta<strong>in</strong>ed <strong>fr</strong>om different regional climate models (RCMs)perform<strong>in</strong>g at 25 km spatial resolution with boundary conditions <strong>fr</strong>om five global climate models (GCMs), all us<strong>in</strong>g the IPCCSRES A1B emission scenario.Source: van der L<strong>in</strong>den <strong>and</strong> Mitchell, 2009.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201267


Changes <strong>in</strong> the climate system2.2.5 Precipitation extremesRelevanceChanges <strong>in</strong> the <strong>fr</strong>equency <strong>and</strong> <strong>in</strong>tensity of extremeprecipitation (see Box 2.4 for def<strong>in</strong>itions) can haveconsiderable <strong>impacts</strong> on society, <strong>in</strong>clud<strong>in</strong>g the builtenvironment, agriculture, <strong>in</strong>dustry <strong>and</strong> ecosystemservices. An assessment of past trends <strong>and</strong> futureprojections of extreme precipitation is thereforeessential for advis<strong>in</strong>g policy decisions on mitigation<strong>and</strong> adaptation to climate <strong>change</strong> (Kendon et al.,2008). The risks posed by precipitation-relatedhazards, such as flood<strong>in</strong>g events (<strong>in</strong>clud<strong>in</strong>g flashfloods) <strong>and</strong> l<strong>and</strong>slides, are also <strong>in</strong>fluenced bynon‐climatic factors, such as population density,floodpla<strong>in</strong> development <strong>and</strong> l<strong>and</strong>-use <strong>change</strong>.Hence, estimates of future <strong>change</strong>s <strong>in</strong> such risksneed to consider <strong>change</strong>s <strong>in</strong> both climatic <strong>and</strong>non‐climatic factors. Estimates of trends <strong>in</strong> heavy orextreme precipitation are more uncerta<strong>in</strong> than trends<strong>in</strong> mean precipitation because, by their very nature,extreme precipitation events have a low <strong>fr</strong>equency ofoccurrence. This leads to greater uncerta<strong>in</strong>ties whenassess<strong>in</strong>g the statistical significance of observed<strong>change</strong>s.Past trendsObservational records do not <strong>in</strong>dicate widespreadsignificant trends <strong>in</strong> either the number ofconsecutive wet days (<strong>in</strong>dicat<strong>in</strong>g flood risks) ordry days (<strong>in</strong>dicat<strong>in</strong>g drought risks) across <strong>Europe</strong>(Map 2.7). Some <strong>change</strong>s <strong>in</strong> these variables havebeen observed across <strong>Europe</strong> but most of themare not statistically significant due to large naturalvariability. Interest<strong>in</strong>gly, parts of north-western <strong>and</strong>north-eastern <strong>Europe</strong> show significant <strong>in</strong>creas<strong>in</strong>gtrends <strong>in</strong> both the number of wet days <strong>and</strong> dry days.The proportion of <strong>Europe</strong> that has experiencedextreme or moderate meteorological droughtconditions did not <strong>change</strong> significantly dur<strong>in</strong>g the20th century (Lloyd-Hughes <strong>and</strong> Saunders, 2002).Summer droughts have also shown no statisticallysignificant trend dur<strong>in</strong>g the period 1901–2002(Robock et al., 2005) ( 41 ).Box 2.4Def<strong>in</strong>ition of precipitation extremesThe term 'precipitation extreme' can refer to both high <strong>and</strong> low extremes of precipitation. High extremes ofprecipitation are def<strong>in</strong>ed either by the amount of precipitation <strong>in</strong> a given time period (e.g. daily or hourly) or bythe period above a location-specific threshold. Indicators for extreme precipitation may be def<strong>in</strong>ed <strong>in</strong> terms o<strong>fr</strong>eturn periods (such as 1 <strong>in</strong> 20 years, termed absolute extremes). Alternatively, they may be def<strong>in</strong>ed relativeto the normal precipitation distribution <strong>in</strong> an area (e.g. the heaviest 5 % of daily precipitation averaged over a30‐year time period, relative extremes). The former captures <strong>in</strong><strong>fr</strong>equent but possibly high impact events, whereasthe latter has a more <strong>fr</strong>equent sampl<strong>in</strong>g rate, captur<strong>in</strong>g on average 18 days per year (over 30 years). Theapproach that is chosen depends largely on the application of the end user.Low extremes of precipitation can be quantified <strong>in</strong> terms of consecutive dry days. Note, however, that anassessment of <strong>change</strong>s <strong>in</strong> drought conditions should also consider other factors, such as soil moisture <strong>and</strong>vegetation responses to chang<strong>in</strong>g atmospheric CO 2concentration.Key messages: 2.2.5 Precipitation extremes• There are no widespread significant trends <strong>in</strong> either the number of consecutive dry or wet days across<strong>Europe</strong>.• Heavy precipitation events are likely to become more <strong>fr</strong>equent <strong>in</strong> most parts of <strong>Europe</strong>. The <strong>change</strong>s arestrongest <strong>in</strong> Sc<strong>and</strong><strong>in</strong>avia <strong>in</strong> w<strong>in</strong>ter <strong>and</strong> <strong>in</strong> northern <strong>and</strong> eastern central <strong>Europe</strong> <strong>in</strong> summer.( 41 ) More about droughts can be found <strong>in</strong> Section 3.3.4.68 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemMap 2.7 Trends <strong>in</strong> consecutive wet days <strong>and</strong> consecutive dry days (1960–2012)Consecutive dry daysConsecutive wet days70N70N60N60N50N50N40N40N30N15W 0 15E 30EChange <strong>in</strong> consecutive dry days (CDD days/decade)WetterDrier– 30 – 20 – 15 – 10 – 5 0 5 10 15 20 30706050403020CDD (days)1955 1965 1975 1985 1995 2005 2015Trend: – 0.38 days per decade (– 1.83 to 1.02)Trend: – 0.37 days per decade (– 1.07 to 0.35)30N15W 0 15E 30EChange <strong>in</strong> consecutive wet days (CWD days, decade)DrierWetter– 10 – 8 – 6 – 4 – 2 0 2 4 6 8 10CWD (days)1210861955 1965 1975 1985 1995 2005 2015Trend: – 0.27 days per decade (– 0.50 to – 0.03)Trend: 0.10 days per decade (– 0.03 to 0.26)Note:High confidence <strong>in</strong> a long-term trend is shown by a black dot (if the 5th to 95th percentile slopes are of the same sign).Boxes which have a thick outl<strong>in</strong>e conta<strong>in</strong> at least three stations. Area averaged annual time series of percentage <strong>change</strong>s <strong>and</strong>trend l<strong>in</strong>es are shown below each map for one area <strong>in</strong> northern <strong>Europe</strong> (blue l<strong>in</strong>e, 5.6 to 16.9 °E <strong>and</strong> 56.2 to 66.2 °N) <strong>and</strong>one <strong>in</strong> south-western <strong>Europe</strong> (red l<strong>in</strong>e, 350.6 to 1.9 °E <strong>and</strong> 36.2 to 43.7 °N).Source: HadEX dataset, updated with data <strong>fr</strong>om the ECA&D dataset.ProjectionsModel-based projections for the 21st century showa reduction <strong>in</strong> the contribution of low ra<strong>in</strong>fall daysto total annual precipitation, <strong>and</strong> an <strong>in</strong>crease <strong>in</strong> thecontribution of high ra<strong>in</strong>fall days <strong>in</strong> most parts of<strong>Europe</strong>, with the exception of the Iberian Pen<strong>in</strong>sula<strong>and</strong> Mediterranean regions (Boberg et al., 2009). Therecurrence time of <strong>in</strong>tense precipitation is reduced<strong>fr</strong>om 20 years <strong>in</strong> the 1961–1990 periods to 6–10 years<strong>in</strong> the 2071–2100 period over northern <strong>and</strong> easterncentral <strong>Europe</strong> <strong>in</strong> summer (Map 2.8 left) <strong>and</strong> to2–4 years <strong>in</strong> Sc<strong>and</strong><strong>in</strong>avia <strong>in</strong> w<strong>in</strong>ter (Map 2.8 right)(Haugen <strong>and</strong> Iversen, 2008; Nikul<strong>in</strong> et al., 2011;Seneviratne et al., 2012).Extreme precipitation events are likely to becomemore <strong>fr</strong>equent <strong>in</strong> <strong>Europe</strong> (Solomon et al., 2007).Changes <strong>in</strong> extreme precipitation depend on theregion, with a high confidence of <strong>in</strong>creased extremeprecipitation <strong>in</strong> northern, Atlantic (all seasons) <strong>and</strong>central <strong>Europe</strong> (except <strong>in</strong> summer) (Seneviratneet al., 2012). Future projections are <strong>in</strong>consistent<strong>in</strong> southern <strong>Europe</strong> (all seasons) (Sillman <strong>and</strong>Roeckner, 2008; Boberg et al., 2009; Seneviratneet al., 2012). The number of consecutive dry daysis projected to <strong>in</strong>crease significantly <strong>in</strong> southern<strong>and</strong> central <strong>Europe</strong>, <strong>in</strong> particular <strong>in</strong> summer, <strong>and</strong> todecrease <strong>in</strong> northern <strong>Europe</strong>, <strong>in</strong> particular <strong>in</strong> w<strong>in</strong>ter(IPCC, 2012, figure 3.10).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201269


Changes <strong>in</strong> the climate systemMap 2.8Projected <strong>change</strong>s <strong>in</strong> 20-year maximum precipitation <strong>in</strong> summer <strong>and</strong> w<strong>in</strong>terSummerW<strong>in</strong>terProjected <strong>change</strong>s <strong>in</strong> 20-year maximum precipitation <strong>in</strong> summer <strong>and</strong> w<strong>in</strong>ter(%)– 40 – 20 0 20 40Note: Projected <strong>change</strong>s <strong>in</strong> 20-year maximum daily precipitation <strong>in</strong> summer (left) <strong>and</strong> w<strong>in</strong>ter (right) <strong>fr</strong>om 1961–1990 to 2071–2100based on the ensemble mean us<strong>in</strong>g a regional climate model (RCM) nested <strong>in</strong> 6 general circulation model (GCMs). Changesthat approximately lie outside of ± 10 % for the ensemble average are significant at the 10 % significance level.Source: Nikul<strong>in</strong> et al., 2011.2.2.6 StormsRelevanceStorms are atmospheric disturbances that aredef<strong>in</strong>ed by strong susta<strong>in</strong>ed w<strong>in</strong>d. In many cases,they are accompanied by heavy precipitation (ra<strong>in</strong>,hail or snow) <strong>and</strong> lightn<strong>in</strong>g. In <strong>Europe</strong>, storms canrange <strong>fr</strong>om relatively small <strong>and</strong> localised eventsto large features cover<strong>in</strong>g a substantial part of thecont<strong>in</strong>ent. They typically develop <strong>fr</strong>om extra-tropicalcyclones which are low-pressure weather systemsthat occur between 30 <strong>and</strong> 80 °N <strong>and</strong> capture theirenergy <strong>fr</strong>om the temperature contrast between thesub-tropical <strong>and</strong> polar air masses that meet <strong>in</strong> theAtlantic Ocean. These extra-tropical cyclones areKey messages: 2.2.6 Storms• Storm location, <strong>fr</strong>equency <strong>and</strong> <strong>in</strong>tensity have shown considerable variability across <strong>Europe</strong> over the pastcentury, mak<strong>in</strong>g it difficult to identify clear trends. A recent reanalysis suggests that storm<strong>in</strong>ess has<strong>in</strong>creased over the past century <strong>in</strong> northern <strong>and</strong> north-western <strong>Europe</strong> but this f<strong>in</strong>d<strong>in</strong>g is not yet robust.• <strong>Climate</strong> <strong>change</strong> projections for storms <strong>in</strong> the North Atlantic <strong>and</strong> <strong>Europe</strong> region show no clear consensus<strong>in</strong> either the direction of movement or the <strong>in</strong>tensity of storm activity. However, a recent study <strong>in</strong>volv<strong>in</strong>g20 climate models projects enhanced extreme w<strong>in</strong>d speeds over northern parts of central <strong>and</strong> western<strong>Europe</strong>, <strong>and</strong> a decrease <strong>in</strong> extreme w<strong>in</strong>d speeds <strong>in</strong> southern <strong>Europe</strong>.70 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemclosely associated with atmospheric <strong>fr</strong>onts whichdel<strong>in</strong>eate <strong>change</strong>s <strong>in</strong> temperature, moisture, w<strong>in</strong>dspeed <strong>and</strong> direction, <strong>and</strong> atmospheric pressure. Innorthern <strong>and</strong> north-western <strong>Europe</strong> severe cyclonescan occur all year. In central <strong>Europe</strong> severe cyclonesoccur ma<strong>in</strong>ly between November <strong>and</strong> Februarywhereas weaker cyclones can also occur <strong>in</strong> otherseasons.north‐western <strong>Europe</strong>an dur<strong>in</strong>g the 1880s, followedby below average conditions between the 1930s <strong>and</strong>1960s, a pronounced <strong>in</strong>crease <strong>in</strong> storm<strong>in</strong>ess until themid-1990s, <strong>and</strong> average or below activity afterwards.Somewhat similar patterns were observed <strong>in</strong> otherparts of <strong>Europe</strong>.Studies of storm activity have <strong>in</strong>creased <strong>in</strong> recentyears as a result of improved observationaldatasets <strong>and</strong> the development of algorithms for theidentification <strong>and</strong> quantification of these phenomena(Ulbrich et al., 2009). In addition, high-resolutionGCM simulations for both present-day climate<strong>and</strong> climate <strong>change</strong> scenarios are <strong>in</strong>creas<strong>in</strong>glybecom<strong>in</strong>g available (van der L<strong>in</strong>den <strong>and</strong> Mitchell,2009). Nevertheless, there are still considerableuncerta<strong>in</strong>ties <strong>in</strong> our underst<strong>and</strong><strong>in</strong>g of the processes<strong>in</strong>fluenc<strong>in</strong>g current storm activity <strong>and</strong> how thesemay be affected by climate <strong>change</strong> (Bengtsson et al.,2006; P<strong>in</strong>to et al., 2007; Ulbrich et al., 2009).Storm events are associated with <strong>in</strong>tense w<strong>in</strong>ds <strong>and</strong>precipitation, which may lead to structural damage,flood<strong>in</strong>g <strong>and</strong> storm surges (see Section 3.2.3 <strong>and</strong>Chapter 5). These events can have large <strong>impacts</strong> onhuman health <strong>and</strong> on vulnerable systems, such asforests, <strong>and</strong> transport <strong>and</strong> energy <strong>in</strong><strong>fr</strong>astructures.Accord<strong>in</strong>g to the Munich Re NatCatSERVICE <strong>and</strong>the EM-DAT database, storms were the costliestnatural hazard (<strong>in</strong> terms of <strong>in</strong>sured losses) <strong>in</strong> <strong>Europe</strong>between 1998 <strong>and</strong> 2009; they ranked fourth <strong>in</strong> termsof the number of human casualties (EEA, 2011b).Map 2.966 o60 o54 o48 o42 oTrends <strong>in</strong> the extreme w<strong>in</strong>dspeeds <strong>in</strong> the period 1871–2008based on reanalysisPast trendsStudies of past <strong>change</strong>s <strong>in</strong> extra-tropical storms haveused a variety of methods for analys<strong>in</strong>g their activity<strong>in</strong> the storm track regions, mak<strong>in</strong>g it difficult tocompare the results of different studies or to assessif there is any underly<strong>in</strong>g climate <strong>change</strong> signal(Meehl et al., 2007; Ulbrich et al., 2009; Wang et al.,2011). Storm location <strong>and</strong> <strong>in</strong>tensity <strong>in</strong> <strong>Europe</strong> hasshown considerable variation over the past century.Locally, <strong>in</strong>creases <strong>in</strong> maximum gust w<strong>in</strong>d speedshave been observed over recent decades (Usbecket al., 2010) but there is evidence for decreases <strong>in</strong>storm <strong>fr</strong>equency s<strong>in</strong>ce the 1990s (Ulbrich et al.,2009). W<strong>in</strong>d data at the local or regional levels canshow a series of decreases <strong>and</strong> <strong>in</strong>creases cont<strong>in</strong>u<strong>in</strong>gover several decades. Long records of w<strong>in</strong>d speedfor various regions across <strong>Europe</strong> <strong>in</strong>dicate thatstorm<strong>in</strong>ess has not significantly <strong>change</strong>d overthe past 200 years (Matulla et al., 2007). They also<strong>in</strong>dicate relatively high levels of storm<strong>in</strong>ess <strong>in</strong>36 o 8 o W 0 o E 8 o 16 o 24 oTrends <strong>in</strong> the annual 95th percentile of daily maximumw<strong>in</strong>d speeds, 1871–2008Note:W<strong>in</strong>d speed (m/s) α = 0.05– 0.2 – 0.15 – 0.1 – 0.05 0 0.05 0.1 0.15 0.2Gale day trends> 0.075 > 0.070 > 0.065 > 0.060 > 0.055Trends <strong>in</strong> the annual 95th percentile of daily maximumw<strong>in</strong>d speeds <strong>in</strong> the 20th century reanalysis data set(ensemble mean) dur<strong>in</strong>g the period 1871–2008.The trend is given <strong>in</strong> the units of the <strong>in</strong>terannualst<strong>and</strong>ard deviation <strong>and</strong> plotted only when significant.The coloured circles <strong>in</strong>dicate trends <strong>in</strong> the number of'gale days' (an <strong>in</strong>dex that represents the number ofextremely w<strong>in</strong>dy days) over the period at the specificlocations.Source: Donat, Renggli, et al., 2011.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201271


Changes <strong>in</strong> the climate systemReanalyses for the time span 1871 to 2008 suggestan <strong>in</strong>creas<strong>in</strong>g long-term trend <strong>in</strong> storm<strong>in</strong>ess acrossnorth-western <strong>Europe</strong>. Storm<strong>in</strong>ess towards the endof the 20th century reached unprecedented values<strong>in</strong> the north-eastern North Atlantic, the North Sea<strong>and</strong> the Baltic Sea region (Map 2.9) (Donat, Renggli,et al., 2011). However, somewhat different resultswere found <strong>in</strong> another reanalysis (Wang et al., 2011).ProjectionsThe simulation of extra-tropical cyclones <strong>in</strong> climatemodels rema<strong>in</strong>s a scientific challenge <strong>in</strong> spiteof significant recent progress. <strong>Climate</strong> <strong>change</strong>projections show no clear consensus <strong>in</strong> either thedirection of movement (poleward or equator-ward)or the <strong>in</strong>tensity of extra-tropical cyclone activity<strong>in</strong> the North Atlantic region of western <strong>Europe</strong>(Meehl et al., 2007; Ulbrich et al., 2009; McDonald,2011). Earlier models showed some agreementon a future poleward shift <strong>in</strong> storm tracks, whichwould <strong>in</strong>crease the <strong>fr</strong>equency of the most <strong>in</strong>tensew<strong>in</strong>d events <strong>in</strong> higher latitudes (Gast<strong>in</strong>eau <strong>and</strong>Soden, 2009). However, more recent projectionswith climate models that <strong>in</strong>clude a higher resolutionstratosphere show an equator-ward shift <strong>in</strong> theAtlantic storm track which could double thepredicted <strong>in</strong>crease <strong>in</strong> w<strong>in</strong>ter ra<strong>in</strong>fall over western<strong>and</strong> central <strong>Europe</strong> compared to other climateprojections (McDonald, 2011; Scaife, 2011). It shouldbe noted that the measure used to identify 'stormtracks' is different to that for 'cyclone tracks', socaution should be exercised when compar<strong>in</strong>g thesetwo measures.Several studies suggest decreases <strong>in</strong> the numberof storms <strong>in</strong> <strong>Europe</strong> but <strong>in</strong>creases <strong>in</strong> the strongest,most damag<strong>in</strong>g storms, <strong>in</strong> particular <strong>in</strong> northern <strong>and</strong>western <strong>Europe</strong> (P<strong>in</strong>to et al., 2007, 2009; Debernard<strong>and</strong> Røed, 2008; Della-Marta <strong>and</strong> P<strong>in</strong>to, 2009; Donatet al., 2010). A recent study <strong>in</strong>volv<strong>in</strong>g ensemblesimulations with 9 GCM <strong>and</strong> 11 RCM projectsenhanced extreme w<strong>in</strong>d speeds over northern partsof central <strong>and</strong> western <strong>Europe</strong> <strong>in</strong> most simulations<strong>and</strong> <strong>in</strong> the ensemble mean, <strong>and</strong> a decrease <strong>in</strong>extreme w<strong>in</strong>d speeds <strong>in</strong> southern <strong>Europe</strong> (Donat,Leckebusch, et al., 2011) (see Map 2.10).Map 2.10Projected <strong>change</strong>s <strong>in</strong> extreme w<strong>in</strong>d speed based on GCM <strong>and</strong> RCM ensembles-40°-20°0°20°40°60°-40°-20°0°20°40°60°60°60°50°50°40°40°30°0 -10° 500 1000 1500 0° km10°20°30°30°0 -10° 500 1000 1500 0° km10°20°30°Projected <strong>change</strong>s <strong>in</strong> extreme w<strong>in</strong>d speed based on GCM (left) <strong>and</strong> RCM (right) ensemblesMagnitude of <strong>change</strong> (ms -1 )Statistical significance above 0.95– 1.0 – 0.75 – 0.5 – 0.25 0.25 0.5 0.75 1.0Note:Ensemble mean of <strong>change</strong>s <strong>in</strong> extreme w<strong>in</strong>d speed (def<strong>in</strong>ed as the 98th percentile of daily maximum w<strong>in</strong>d speed) forA1B (2071–2100) relative to 1961–2000. Left: based on 9 GCMs. Right: based on 11 RCMs. Coloured areas <strong>in</strong>dicate themagnitude of <strong>change</strong> (unit: m s−1), statistical significance above 0.95 is shown by black dots.Source: Donat, Leckebusch, et al., 2011.72 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate system2.3 Cryosphere2.3.1 OverviewRelevanceThe cryosphere <strong>in</strong>cludes all permanent or seasonalsnow <strong>and</strong> ice on l<strong>and</strong>, <strong>in</strong> the seas, rivers <strong>and</strong> lakes,<strong>and</strong> <strong>in</strong> the ground (perma<strong>fr</strong>ost). It is the secondlargest component of the climate system after theoceans with regard to mass <strong>and</strong> heat capacity.Because of its importance several recent publicationshave compiled relevant research on the cryosphere(Voigt et al., 2010; AMAP, 2011; Olsen et al., 2012).Snow <strong>and</strong> ice are important for the global climatesystem (see Section 2.1). Much of the sunlightthat hits these surfaces is reflected back <strong>in</strong>to space<strong>in</strong>stead of warm<strong>in</strong>g the Earth. As melt<strong>in</strong>g of snow<strong>and</strong> ice exp<strong>and</strong>s to darker surfaces such as wateror ground, more heat is absorbed. These positiveice-temperature feedbacks are already accelerat<strong>in</strong>gthe loss of sea ice <strong>in</strong> summer <strong>and</strong> autumn, whichhas resulted <strong>in</strong> higher w<strong>in</strong>ter near-surface airtemperatures <strong>in</strong> the Arctic (Screen <strong>and</strong> Simmonds,2010).Ice <strong>and</strong> snow are important for many ecosystems.Some species spend their entire life-cycle <strong>in</strong> areasdom<strong>in</strong>ated by the cryosphere whereas others areadapted to temporary snow <strong>and</strong> ice. Observed<strong>change</strong>s <strong>in</strong> the cryosphere are already affect<strong>in</strong>gspecies <strong>in</strong>teractions <strong>and</strong> entire ecosystems (Postet al., 2009). Model studies also suggest positivevegetation-climate feedbacks, which accelerateclimate <strong>change</strong>. For example, the expansion ofdeciduous vegetation <strong>in</strong> the Arctic can contribute totemperature <strong>change</strong> by creat<strong>in</strong>g more dark surfaces(Swann et al., 2010).Mounta<strong>in</strong> perma<strong>fr</strong>ost areas <strong>in</strong> the Alp<strong>in</strong>e regionaffect both the l<strong>and</strong>scape <strong>and</strong> ecosystems. Theperma<strong>fr</strong>ost soils <strong>in</strong> boreal <strong>and</strong> Arctic ecosystemsstore almost twice as much carbon as is currentlypresent <strong>in</strong> the global atmosphere (Zimov et al.,2006). Perma<strong>fr</strong>ost thaw at high latitudes couldthus cause carbon emissions, which would furtheraccelerate climate <strong>change</strong> (Schuur et al., 2009;Shakhova et al., 2010; Avis et al., 2011).The cryosphere plays an important role <strong>in</strong> watermanagement. Two thirds of the world's <strong>fr</strong>eshwaterresources are <strong>fr</strong>ozen. Seasonal melt<strong>in</strong>g releaseswater dur<strong>in</strong>g the warm season, thereby support<strong>in</strong>gwater supplies <strong>and</strong> hydropower. Changes <strong>in</strong> thecryosphere have further social <strong>and</strong> economicconsequences by affect<strong>in</strong>g sea ice, the distributionof perma<strong>fr</strong>ost on l<strong>and</strong>, <strong>and</strong> by contribut<strong>in</strong>g to globalsea-level rise. Such <strong>change</strong>s affect transport routes,build<strong>in</strong>g technology, tourism <strong>and</strong> recreation, <strong>and</strong>opportunities to exploit natural resources.Selection of <strong>in</strong>dicatorsThe cryosphere provides easily observable signsof climate <strong>change</strong> over a wide range of time scales,<strong>fr</strong>om millennia to seasonal variations with<strong>in</strong> a year.This section presents the follow<strong>in</strong>g <strong>in</strong>dicators, whichcover the ma<strong>in</strong> components of the cryosphere:• Snow cover: Snow covers a large area, but hasrelatively small volume. It's reflection of light isimportant for climatic conditions, it <strong>in</strong>sulates thesoil <strong>in</strong> w<strong>in</strong>ter <strong>and</strong> it is an important temporarywater storage.• Greenl<strong>and</strong> ice sheet: The cont<strong>in</strong>ental ice sheet ofGreenl<strong>and</strong> <strong>in</strong>fluences the global climate <strong>in</strong> manyKey messages: 2.3 Cryosphere• Almost all components <strong>in</strong> the cryosphere are decreas<strong>in</strong>g, which is consistent with a warm<strong>in</strong>g climate.The fast reduction <strong>in</strong> Arctic Sea ice is particularly prom<strong>in</strong>ent.• Further reductions <strong>in</strong> the cryosphere are projected for the future. The projected <strong>change</strong>s vary acrossregions <strong>and</strong> <strong>in</strong>dicators, <strong>and</strong> there are large uncerta<strong>in</strong>ties <strong>in</strong> some of the projections.• The melt<strong>in</strong>g of ice <strong>and</strong> snow <strong>and</strong> thaw<strong>in</strong>g of perma<strong>fr</strong>ost may cause positive feedbacks that canaccelerate climate <strong>change</strong> further.• Changes <strong>in</strong> the cryosphere affect global sea level, many ecosystems <strong>and</strong> their services, <strong>fr</strong>eshwatersupply, river navigation, irrigation <strong>and</strong> power generation. The projected <strong>change</strong>s can <strong>in</strong>crease naturalhazards <strong>and</strong> the risk of damage to <strong>in</strong><strong>fr</strong>astructure. At the same time they can create new opportunitiesfor navigation <strong>and</strong> the exploitation of natural resources.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201273


Changes <strong>in</strong> the climate systemways. First of all, it has important effects onglobal sea level. Furthermore, it modifies oceantemperatures <strong>and</strong> circulation, vegetation <strong>and</strong>l<strong>and</strong>-surface albedo.• Glaciers: Glaciers <strong>and</strong> ice caps <strong>in</strong>fluence sea level,river flow <strong>and</strong> <strong>fr</strong>eshwater supply, ecosystems<strong>and</strong> many human activities.• Perma<strong>fr</strong>ost: Perma<strong>fr</strong>ost is ecologically important<strong>in</strong> high mounta<strong>in</strong>s <strong>and</strong> <strong>in</strong> Arctic areas. It<strong>in</strong>fluences the water content of soils, vegetation,ecosystems <strong>and</strong> l<strong>and</strong>scapes. The thaw<strong>in</strong>gof perma<strong>fr</strong>ost causes structural <strong>change</strong> ofl<strong>and</strong>scapes <strong>and</strong> potentially <strong>in</strong>creases naturalhazards. In the Arctic, thaw<strong>in</strong>g perma<strong>fr</strong>ostcontributes to the release of GHGs, <strong>in</strong>clud<strong>in</strong>gCH 4, <strong>fr</strong>om <strong>fr</strong>ozen organic material.• Arctic <strong>and</strong> Baltic Sea ice: Sea ice covers large areas.It reflects light more than open sea <strong>and</strong> <strong>impacts</strong>on ocean circulation, which transports heat<strong>fr</strong>om the equator to the poles. The sea ice <strong>and</strong> itsvariation affects navigation <strong>and</strong> the exploitationof natural resources.• Lake <strong>and</strong> river ice: Seasonal lake ice is importantfor aquatic ecosystems <strong>and</strong> <strong>in</strong> some areas forw<strong>in</strong>ter tourism. This <strong>in</strong>dicator is presented <strong>in</strong>Section 3.3.6.Data quality <strong>and</strong> data needsData on the cryosphere vary significantly withregard to availability <strong>and</strong> quality. Snow <strong>and</strong> icecover have been monitored globally s<strong>in</strong>ce satellitemeasurements started <strong>in</strong> the 1970s. Improvements<strong>in</strong> technology allow for more detailed observations<strong>and</strong> higher resolution. High quality long-term datais also available on glaciers throughout <strong>Europe</strong>.Direct historical area-wide data on the Greenl<strong>and</strong> icesheet tracks about 20 years, but reconstructions givea 200 000 year perspective. Data on perma<strong>fr</strong>ost aregenerally restricted to the last 15–25 years.Cont<strong>in</strong>uous efforts are be<strong>in</strong>g made to improve onknowledge of the cryosphere. Intensive developmentwork is under way to develop projections, whichare essential for scenarios of climate <strong>change</strong> <strong>impacts</strong><strong>and</strong> adaptation. Due to their economic importancespecial effort is also devoted to improv<strong>in</strong>g real-timemonitor<strong>in</strong>g of, for example, snow cover <strong>and</strong> seaice. In general, glacier <strong>and</strong> sea ice extent are easilyobservable but ice mass <strong>in</strong>formation, for example, isdifficult to obta<strong>in</strong>.2.3.2 Snow coverRelevanceSnow <strong>in</strong>fluences the climate <strong>and</strong> climate‐relatedsystems because of its high reflectivity, <strong>in</strong>sulat<strong>in</strong>gproperties, effects on water resources <strong>and</strong>ecosystems, <strong>and</strong> cool<strong>in</strong>g of the atmosphere.A decrease <strong>in</strong> snow cover contributes to acceleratedclimate <strong>change</strong> (Flanner et al., 2011).In <strong>Europe</strong> about half of the 800 million peoplelive on areas that have snow cover <strong>in</strong> January<strong>in</strong> an average w<strong>in</strong>ter. Changes <strong>in</strong> snow coveraffect human well-be<strong>in</strong>g through effects on wateravailability, hydropower, navigation, <strong>in</strong><strong>fr</strong>astructure,the livelihoods of <strong>in</strong>digenous Arctic people,environmental hazards, w<strong>in</strong>ter recreation <strong>and</strong>outdoor light conditions. Variation <strong>in</strong> snow coveraffects w<strong>in</strong>ter road <strong>and</strong> rail ma<strong>in</strong>tenance, <strong>and</strong> theexploitation of natural resources <strong>in</strong> cold regions(ACIA, 2005; UNEP, 2007). Snow cover is mostsensitive to climate <strong>change</strong> at low elevations <strong>in</strong>temperate regions.Key messages: 2.3.2 Snow cover• Snow cover extent <strong>in</strong> the Northern Hemisphere has fallen by 7 % <strong>in</strong> March <strong>and</strong> 11 % <strong>in</strong> April dur<strong>in</strong>g thepast 4 decades. In w<strong>in</strong>ter <strong>and</strong> autumn no significant <strong>change</strong>s have occurred.• Snow mass <strong>in</strong> <strong>Europe</strong> has decreased by 7 % <strong>in</strong> March <strong>fr</strong>om 1982 to 2009.• Model simulations project widespread reductions <strong>in</strong> the extent <strong>and</strong> duration of snow cover <strong>in</strong> <strong>Europe</strong>over the 21st century. However, there are large uncerta<strong>in</strong>ties <strong>in</strong> the projections.• Changes <strong>in</strong> snow cover affect the Earth's surface reflectivity, water resources, the flora <strong>and</strong> fauna <strong>and</strong>their ecology, agriculture, forestry, tourism, snow sports, transport <strong>and</strong> power generation.74 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemPast trendsSatellite observations on the monthly snow coverextent <strong>in</strong> the Northern Hemisphere are availables<strong>in</strong>ce November 1966 (RUGSL, 2011). Figure 2.10shows that snow covered on average 45 % of thel<strong>and</strong> area of the Northern Hemisphere <strong>in</strong> w<strong>in</strong>ter(December to February), vary<strong>in</strong>g <strong>fr</strong>om less than41 % <strong>in</strong> 1980–1981 to over 48 % <strong>in</strong> 1977–1978(RUGSL, 2011). This satellite data shows thatthere are no trends <strong>fr</strong>om 1967 to 2010 <strong>in</strong> snowcover <strong>in</strong> fall (September-November) <strong>and</strong> w<strong>in</strong>ter(December–February), but snow cover <strong>in</strong> spr<strong>in</strong>ghas decreased significantly. Accord<strong>in</strong>g to a detailedstatistical analysis of the snow cover <strong>in</strong> the Northernhemisphere the rate of decrease <strong>in</strong> March <strong>and</strong> April<strong>in</strong> the period 1970–2010 was around 0.8 million km 2per decade, correspond<strong>in</strong>g to a 7 % decrease <strong>in</strong>March <strong>and</strong> an 11 % decrease <strong>in</strong> April <strong>fr</strong>om thepre‐1970 values (Brown <strong>and</strong> Rob<strong>in</strong>son, 2011).Trends <strong>in</strong> snow cover vary <strong>in</strong> different parts of<strong>Europe</strong>. In some mounta<strong>in</strong> regions, such as the Alps<strong>and</strong> the Norwegian mounta<strong>in</strong>s, snow depth hasdecreased at low elevations where the temperature<strong>in</strong>creased over the <strong>fr</strong>eez<strong>in</strong>g po<strong>in</strong>t whereas ithas <strong>in</strong>creased at high elevations where bothprecipitation <strong>and</strong> temperature have <strong>in</strong>creased butthe temperature has rema<strong>in</strong>ed below the <strong>fr</strong>eez<strong>in</strong>gpo<strong>in</strong>t for extended periods (Bocchiola <strong>and</strong> Diolaiuti,2009; Stewart, 2009; Dyrral, 2010). In other mounta<strong>in</strong>regions such as the Carpathians, Tatra, Pyrenees,<strong>and</strong> Caucasus, there have been either decreas<strong>in</strong>g orvariable trends (Diaz et al., 2003; Lap<strong>in</strong> et al., 2007).Figure 2.10 Trend <strong>in</strong> autumn, w<strong>in</strong>ter <strong>and</strong> spr<strong>in</strong>g snow cover extent over the NorthernHemisphere (1967–2011)Snow cover extent (million km 2 )60504030201001965 1970 1975 1980 1985 1990 1995 2000 2005 2010Autumn W<strong>in</strong>ter Spr<strong>in</strong>gAutumn (l<strong>in</strong>ear trend) W<strong>in</strong>ter (l<strong>in</strong>ear trend) Spr<strong>in</strong>g (l<strong>in</strong>ear trend)Note:Mean autumn (September, October, November), w<strong>in</strong>ter (December, January, February) <strong>and</strong> spr<strong>in</strong>g (March, April, May) snowcover extent over the Northern Hemisphere <strong>in</strong> 1967–2011 with l<strong>in</strong>ear trends.Source: RUGSL, 2011.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201275


Changes <strong>in</strong> the climate systemIn the lowl<strong>and</strong>s of western <strong>Europe</strong>, snow is not apermanent w<strong>in</strong>ter phenomenon — it may come <strong>and</strong>go several times dur<strong>in</strong>g the cold months. Decreas<strong>in</strong>gsnow cover trends have been observed <strong>in</strong>, forexample, Brita<strong>in</strong> (Perry, 2006), Germany (Schwarzet al., 2007), Pol<strong>and</strong> (Bednorz, 2011) <strong>and</strong> Nordiccountries (Wilson et al., 2010). In general, snowconditions <strong>in</strong> these areas correlate strongly withlarge-scale circulation patterns as <strong>in</strong>dicated by theNAO (Bednorz, 2011; Brown <strong>and</strong> Rob<strong>in</strong>son, 2011).The snow mass (i.e. the amount of water thatthe snow conta<strong>in</strong>s) is another important variabledescrib<strong>in</strong>g seasonal snow. In the NorthernHemisphere, a 7 % decrease has been observedbetween 1982 <strong>and</strong> 2009 for March (Takala et al.,2011). An extension of this data focus<strong>in</strong>g on EEAmember countries, exclud<strong>in</strong>g mounta<strong>in</strong> areas, alsodemonstrates this decl<strong>in</strong>e (Figure 2.11).ProjectionsThe seasonal snow cover is likely to cont<strong>in</strong>ueshr<strong>in</strong>k<strong>in</strong>g (Stewart, 2009). Map 2.11 showsprojections of <strong>change</strong>s <strong>in</strong> annual snow fall daysbased on a multi-model ensemble. The multi‐modelmean shows decreases <strong>in</strong> days with snow fallexceed<strong>in</strong>g 1 cm across <strong>Europe</strong>. Days with snowfall above 10 cm show <strong>in</strong>creases <strong>in</strong> large partsof northern <strong>Europe</strong> <strong>and</strong> decreases <strong>in</strong> most otherregions. There is, however, considerable uncerta<strong>in</strong>ty<strong>in</strong> these projections due to large differences betweenthe upper <strong>and</strong> lower limits of the model projections(not shown here). Because snow cover is sensitive tosnowfall as well as temperature, <strong>in</strong>creased snowfallwill not necessarily translate <strong>in</strong>to more snow on theground (Räisänen <strong>and</strong> Eklund, 2011). A study hasprojected a reduced number of snow cover days <strong>in</strong>northern <strong>Europe</strong> (def<strong>in</strong>ed as 55–70 °N, 4.5–30 °E)Figure 2.11 Trend <strong>in</strong> March snow mass <strong>in</strong> <strong>Europe</strong> (exclud<strong>in</strong>g mounta<strong>in</strong> areas) (1980–2011)Anomaly (%)50-30°-20°-10°0°10°20°30°40°50°60°70°403060°2050°10050°– 1040°– 2040°– 30– 400 500 0° 1000 150010°km20°30°40°– 501980 1985 1990 1995 2000 2005 2010Snow mass <strong>fr</strong>om GlobSnow SWE v1.230-year trend (– 8.9 % per decade)Snow coverSnow covered areasBare areasMounta<strong>in</strong> areas (excluded)Outside coverageNote:Left: Anomalies for March snow mass <strong>and</strong> the 30-year l<strong>in</strong>ear trend <strong>in</strong> the EEA region (exclud<strong>in</strong>g mounta<strong>in</strong> areas).Right: Snapshot of snow cover on 15 February 2009.Source: GlobSnow (http://www.globsnow.<strong>in</strong>fo) (Luojus et al., 2011).76 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemof up to 40–70 days <strong>in</strong> 2071–2100 compared tothe basel<strong>in</strong>e period 1961–1990. The study used aRCM driven by an ensemble of 7 GCMS for 4 SRESemission scenarios (Kjellström et al., 2011). Theprojections depend on the emission scenario <strong>and</strong> theunderly<strong>in</strong>g GCM simulation.Model projections of 21st century <strong>change</strong> <strong>in</strong> snowwater equivalent (SWE) <strong>in</strong> the Northern Hemisphereunder the SRES A1B emissions scenario suggestthat SWE <strong>in</strong>creases <strong>in</strong> the coldest parts of theNorthern Hemisphere cont<strong>in</strong>ents, but decreaseselsewhere (Räisänen, 2007). The multi‐modelmean <strong>fr</strong>om the CMIP5 modell<strong>in</strong>g exercise projects<strong>change</strong>s <strong>in</strong> March/April snow cover <strong>in</strong> the NorthernHemisphere dur<strong>in</strong>g the 21st century of about 7 %<strong>and</strong> 27 % <strong>in</strong> a low emission scenario (RCP 2.6) <strong>and</strong>a high emission scenario (RCP 8.5), respectively(Brutel-Vuilmet et al., 2012). Despite the projecteddecrease <strong>in</strong> long-term mean SWE <strong>in</strong> the NorthernHemisphere, model simulations <strong>in</strong>dicate occasionalw<strong>in</strong>ters of heavy snowfall, but these become<strong>in</strong>creas<strong>in</strong>gly uncommon towards the end ofthe 21st century. Significant reductions <strong>in</strong> snowmass <strong>in</strong> <strong>Europe</strong> are likely to occur <strong>in</strong> Switzerl<strong>and</strong>(BAFU, 2012), the alp<strong>in</strong>e range of Italy (Sonc<strong>in</strong>i<strong>and</strong> Bocchiola, 2011), the Pyrenees (López-Morenoet al., 2009), the Turkish mounta<strong>in</strong>s (Özdoğan, 2011)<strong>and</strong> Balkan mounta<strong>in</strong>s (FAO, 2010). In these areasthe <strong>change</strong> can have dramatic effects as melt watercontributes up to 60–70 % of annual river flows.Map 2.11Projected <strong>change</strong>s <strong>in</strong> annual snowfall days-30°-20°-10°0°10°20°30°40°50°60°70°-30°-20°-10°0°10°20°30°40°50°60°70°60°60°50°50°50°50°40°40°40°40°0 500 0° 1000 150010°km20°30°40°0 500 0° 1000 150010°km20°30°40°Projected <strong>change</strong>s <strong>in</strong> annual snowfall daysNote:– 25 to – 20– 20 to – 15– 15 to – 10– 10 to – 5– 5 to – 1– 1 to 11 to 5Multi-model mean of <strong>change</strong>s <strong>in</strong> annual snowfall days <strong>fr</strong>om 1971–2000 to 2041–2070 exceed<strong>in</strong>g (A) 1 cm <strong>and</strong> (B) 10 cmbased on 6 RCM simulations for the emission scenario A1B.Source: Vajda et al., 2011.NodataOutsidecoverage<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201277


Changes <strong>in</strong> the climate system2.3.3 Greenl<strong>and</strong> ice sheetRelevanceThe fate of the Greenl<strong>and</strong> ice sheet highlightspotentially major consequences of climate <strong>change</strong>as it is directly l<strong>in</strong>ked to global sea-level rise. Thespeed of ice loss, known as the ice sheet 'massbalance', is the most important <strong>in</strong>dicator of ice sheet<strong>change</strong>. An <strong>in</strong>creased rate of mass loss results <strong>in</strong> afaster rise <strong>in</strong> sea level. In addition, melt water <strong>fr</strong>omGreenl<strong>and</strong> reduces the sal<strong>in</strong>ity of the surround<strong>in</strong>gocean. An upper layer of <strong>fr</strong>esher water may reducethe formation of dense deep water, one of themechanisms driv<strong>in</strong>g global ocean circulation.Past trendsThe mass balance of the Greenl<strong>and</strong> ice sheet isdeterm<strong>in</strong>ed by snow fall, summer melt<strong>in</strong>g ofsnow, <strong>and</strong> the icebergs break<strong>in</strong>g off the glaciers.Several different methods are used to monitor the<strong>change</strong>s of the Greenl<strong>and</strong> ice sheet (Krabill et al.,2002; Shepherd <strong>and</strong> W<strong>in</strong>gham, 2007; Chen et al.,2011; Rignot et al., 2011; Zwally et al., 2011). Theoverall conclusion is that Greenl<strong>and</strong> is los<strong>in</strong>g massat an accelerat<strong>in</strong>g rate (Figure 2.12). The yearlycumulated area where melt<strong>in</strong>g occurs has also<strong>in</strong>creased significantly (Figure 2.13). S<strong>in</strong>ce 2006, highsummer melt rates have led to a Greenl<strong>and</strong> ice sheetmass loss of 273 billion tonnes a year (Rignot et al.,2011). This ice loss corresponds to a sea-level riseof approximately 0.7 mm per year (about a quarterof the total sea‐level rise of 3.1 mm a year) (seeSection 3.2.2 for further <strong>in</strong>formation on global <strong>and</strong><strong>Europe</strong>an sea‐level rise).Exceptional melt<strong>in</strong>g was recorded on the Greenl<strong>and</strong>ice sheet <strong>in</strong> the summer of 2012. On 12 July 2012nearly the entire ice cover experienced some degreeof surface melt<strong>in</strong>g (NASA, 2012). The extreme meltevent co<strong>in</strong>cided with an unusually strong ridgeof warm air over Greenl<strong>and</strong>. The ridge was oneof a series that dom<strong>in</strong>ated Greenl<strong>and</strong>'s weather<strong>in</strong> the summer of 2012. Ice core data suggest thatlarge‐scale melt<strong>in</strong>g events of this type have occurredabout once every 150 years on average, the mostrecent one <strong>in</strong> 1889. It is not currently possible to tellwhether the <strong>fr</strong>equency of these rare extensive meltevents has <strong>change</strong>d.Figure 2.12 Mass balance of the Greenl<strong>and</strong>ice sheet <strong>fr</strong>om mass budgetcalculations (1989–2009)Mass balance (Gt/year)2001000– 100– 200– 300– 4001985 1990 1995 2000 2005 2010Source: van den Broeke, 2011.Key messages: 2.3.3 Greenl<strong>and</strong> ice sheet• The Greenl<strong>and</strong> ice sheet is the largest body of ice <strong>in</strong> the northern hemisphere <strong>and</strong> plays an importantrole <strong>in</strong> the cryosphere. It <strong>change</strong>d <strong>in</strong> the 1990s <strong>fr</strong>om be<strong>in</strong>g <strong>in</strong> near mass balance to los<strong>in</strong>g about100 billion tonnes of ice per year. Ice losses have s<strong>in</strong>ce then more than doubled to 250 billion tonnes ayear averaged over 2005 to 2009.• The contribution of ice loss <strong>fr</strong>om the Greenl<strong>and</strong> ice sheet to global sea-level rise is estimated at0.14–0.28 mm/year for the period 1993–2003 <strong>and</strong> has s<strong>in</strong>ce <strong>in</strong>creased. The recent melt<strong>in</strong>g of theGreenl<strong>and</strong> ice sheet is estimated to have contributed up to 0.7 mm a year to sea-level rise, which isapproximately one quarter of the total sea-level rise of about 3.1 mm/year.• Model projections suggest further decl<strong>in</strong>es of the Greenl<strong>and</strong> ice sheet <strong>in</strong> the future but the processesdeterm<strong>in</strong><strong>in</strong>g the rate of <strong>change</strong> are still poorly understood.78 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemFigure 2.13 Trend <strong>in</strong> yearly cumulated melt<strong>in</strong>g area of the Greenl<strong>and</strong> ice sheet (1979–2011)Cumulated melt extent (1979 = 100 %)4003503002502001501005001979 1985 1991 1997 2003 2009Cumulated melt extent relative to 1979Note: Yearly cumulated area of the Greenl<strong>and</strong> ice sheet show<strong>in</strong>g melt dur<strong>in</strong>g the period 1979 to 2011 relative to area <strong>in</strong> 1979.The l<strong>in</strong>ear trend 1979–2011 is <strong>in</strong>cluded.Source: Fettweis et al., 2011.Ice is lost <strong>fr</strong>om Greenl<strong>and</strong>, <strong>in</strong> roughly equalamounts, through surface melt<strong>in</strong>g <strong>and</strong> ice motion(van den Broeke et al., 2009). Surface melt<strong>in</strong>goccurs when warm air <strong>and</strong> sunlight first melt allthe previous year's snow <strong>and</strong> then the ice itself. Athigher elevations snow accumulates <strong>and</strong> the localmass balance rema<strong>in</strong>s positive. With global warm<strong>in</strong>gthe height at which melt<strong>in</strong>g occurs moves upwards<strong>and</strong> eventually a tipp<strong>in</strong>g po<strong>in</strong>t may be reached afterwhich the whole ice sheet starts to melt (Gregory<strong>and</strong> Huybrechts, 2006).ProjectionsProjections of the surface mass balance of theGreenl<strong>and</strong> ice sheet with many global climatemodels <strong>in</strong>dicate that the 'tipp<strong>in</strong>g po<strong>in</strong>t' above whichthe Greenl<strong>and</strong> ice decl<strong>in</strong>e will completely melt is aglobal temperature rise of about 3 °C (Gregory <strong>and</strong>Huybrechts, 2006). However, this estimate is subjectto considerable uncerta<strong>in</strong>ty (Bougamont et al., 2007).<strong>Climate</strong> models with an embedded dynamic icesheet model have suggested that a melt of 10–20 %of the current ice sheet volume, <strong>in</strong>duc<strong>in</strong>g ice loss <strong>in</strong>southern Greenl<strong>and</strong>, would lead to an irreversiblesea-level rise of about 1.3 m over several centuries.The addition of contributions by outlet glaciers(Ridley et al., 2005; Pfeffer et al., 2008) <strong>and</strong> theexpected surface mass balance-driven losses give anupper bound of about 19 cm sea-level rise <strong>fr</strong>om theGreenl<strong>and</strong> ice sheet by 2100.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201279


Changes <strong>in</strong> the climate system2.3.4 GlaciersRelevanceGlaciers are particularly sensitive to <strong>change</strong>s <strong>in</strong> theglobal climate because their surface temperatureis close to the <strong>fr</strong>eez<strong>in</strong>g/melt<strong>in</strong>g po<strong>in</strong>t (Zemp et al.,2006). When the loss of ice, ma<strong>in</strong>ly <strong>fr</strong>om melt<strong>in</strong>g <strong>and</strong>calv<strong>in</strong>g <strong>in</strong> summer, is larger than the accumulation<strong>fr</strong>om snowfall <strong>in</strong> w<strong>in</strong>ter, the mass balance of theglacier turns negative <strong>and</strong> the glacier shr<strong>in</strong>ks.Glaciers are an important <strong>fr</strong>eshwater resource<strong>and</strong> act as 'water towers' for lower-ly<strong>in</strong>g regions.The water <strong>fr</strong>om melt<strong>in</strong>g glaciers contributes towater flow <strong>in</strong> rivers dur<strong>in</strong>g summer months <strong>and</strong>thus helps ma<strong>in</strong>ta<strong>in</strong> water levels for irrigation,hydropower production, cool<strong>in</strong>g water <strong>and</strong>navigation. The effects of a reduction <strong>in</strong> glaciersare, however, complex <strong>and</strong> vary <strong>fr</strong>om location tolocation (SGHL <strong>and</strong> CHy, 2011). Glacier melt<strong>in</strong>g alsocontributes to global sea-level rise (Radić <strong>and</strong> Hock,2011; Rignot et al., 2011).Past trendsA general loss of glacier mass has occurred <strong>in</strong> nearlyall <strong>Europe</strong>an glacier regions (Figure 2.14). The Alpshave lost about two thirds of their ice mass s<strong>in</strong>ce1850 (Zemp et al., 2005, 2006, 2008) <strong>and</strong> <strong>in</strong>dividualglaciers have faced even greater losses.Glaciers <strong>in</strong> different regions have been affectedsomewhat differently by recent climate <strong>change</strong>.In particular, Norwegian coastal glaciers wereexp<strong>and</strong><strong>in</strong>g <strong>and</strong> ga<strong>in</strong><strong>in</strong>g mass up to the end of the1990s due to <strong>in</strong>creased w<strong>in</strong>ter snowfall on the northAtlantic coast. Now these glaciers are also retreat<strong>in</strong>g(Andreassen et al., 2005; Nesje et al., 2008). Some icecaps at higher elevations <strong>in</strong> north-eastern Svalbardseem to be <strong>in</strong>creas<strong>in</strong>g <strong>in</strong> thickness (Bamber, 2004;Bevan et al., 2007), but estimates for Svalbard as awhole show a decl<strong>in</strong><strong>in</strong>g mass balance (Hagen et al.,2003; Kohler et al., 2007).The centennial retreat of <strong>Europe</strong>an glaciersis attributed primarily to <strong>in</strong>creased summertemperatures. However, <strong>change</strong>s <strong>in</strong> w<strong>in</strong>terprecipitation, reduced glacier albedo due to the lackof summer snow fall <strong>and</strong> various other feedbackprocesses, such as the <strong>in</strong>creas<strong>in</strong>g debris cover on theglacier, can <strong>in</strong>fluence the behaviour of glaciers, <strong>in</strong>particular on a regional <strong>and</strong> decadal scale.ProjectionsThe retreat of <strong>Europe</strong>an glaciers is projected tocont<strong>in</strong>ue throughout the 21st century. One studyestimates that the volume of <strong>Europe</strong>an glacierswill decl<strong>in</strong>e between 22 <strong>and</strong> 66 % comparedto the current situation (all <strong>Europe</strong>an regionscomb<strong>in</strong>ed; Figure 2.15) (Radić <strong>and</strong> Hock, 2011).The relative volume loss is largest <strong>in</strong> the <strong>Europe</strong>anAlps (76 ± 15 % st<strong>and</strong>ard deviation of 10 climatescenarios). In Norway nearly all smaller glaciersare projected to disappear <strong>and</strong> overall glacier areaas well as volume may be reduced by about onethird by 2100 even under the low SRES B2 emissionsscenario (Nesje et al., 2008). If summer airtemperatures were to rise by 3 °C <strong>and</strong> precipitationrema<strong>in</strong>ed constant, the <strong>Europe</strong>an Alps could loseabout 80 % of their average ice cover compared tothe period 1971–1990 (Zemp et al., 2006).Key messages: 2.3.4 Glaciers• The vast majority of glaciers <strong>in</strong> the <strong>Europe</strong>an glacial regions are <strong>in</strong> retreat. Glaciers <strong>in</strong> the <strong>Europe</strong>anAlps have lost approximately two thirds of their volume s<strong>in</strong>ce 1850, with clear acceleration s<strong>in</strong>ce the1980s.• Glacier retreat is expected to cont<strong>in</strong>ue <strong>in</strong> the future. The volume of <strong>Europe</strong>an glaciers has beenestimated to decl<strong>in</strong>e between 22 <strong>and</strong> 66 % compared to the current situation by 2100 under abus<strong>in</strong>ess-as-usual emission scenario.• Glacier retreat contributes to sea-level rise <strong>and</strong> it affects <strong>fr</strong>eshwater supply <strong>and</strong> run off regimes,river navigation, irrigation <strong>and</strong> power generation. It may also cause natural hazards <strong>and</strong> damage to<strong>in</strong><strong>fr</strong>astructure.80 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemFigure 2.14 Cumulative specific net mass balance of <strong>Europe</strong>an glaciers (1946–2010)Cumulative net mass balance (mm water equivalent)20 00010 0000– 10 000– 20 000– 30 000– 40 000– 50 000– 60 0001945 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010290 Nigardsbreen (Norway) 292 Austre Broeggerbreen (Norway)356 Sa<strong>in</strong>t Sorl<strong>in</strong> (France) 357 Sarennes (France)491 H<strong>in</strong>tereis Ferner (Austria) 635 Careser (Italy)317 Aalfotbreen (Norway) 332 Storglaciaeren (Sweden)359 Gries (Switzerl<strong>and</strong>) 489 Vernagt Ferner (Austria)942 Maladeta (Spa<strong>in</strong>) 3089 Hofsjokull N (Icel<strong>and</strong>)Source: Fluctuation of Glaciers Database (FoG), World Glacier Monitor<strong>in</strong>g Service (http://www.wgms.ch), 2011; data for 2010 areprelim<strong>in</strong>ary.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201281


Changes <strong>in</strong> the climate systemFigure 2.15 Projected <strong>change</strong>s <strong>in</strong> the volume of all mounta<strong>in</strong> glaciers <strong>and</strong> ice caps <strong>in</strong> the<strong>Europe</strong>an glaciated regionsVolume of mounta<strong>in</strong> glaciers <strong>and</strong> ice caps300<strong>Europe</strong>an AlpsVolume of mounta<strong>in</strong> glaciers <strong>and</strong> ice caps300Sc<strong>and</strong><strong>in</strong>avia2502502002001501501001005050020002010202020302040205020602070208020902100020002010202020302040205020602070208020902100Volume of mounta<strong>in</strong> glaciers <strong>and</strong> ice capsIcel<strong>and</strong>Volume of mounta<strong>in</strong> glaciers <strong>and</strong> ice capsSvalbard12 00012 00010 00010 0008 0008 0006 0006 0004 0004 0002 0002 000020002010202020302040205020602070208020902100020002010202020302040205020602070208020902100CCSM3UKMO-HadCM3GFDL-CM2.0IPSL-CM4CNRM-CM3CSIRO-Mk3.0ECHAM/MPI-OMPCMGISS-ERCGCM3.1(T63)Note:Projected volume for 2001–2100 of all mounta<strong>in</strong> glaciers <strong>and</strong> ice caps <strong>in</strong> the <strong>Europe</strong>an glaciated regions derived us<strong>in</strong>g a massbalance model driven with temperature <strong>and</strong> precipitation scenarios <strong>fr</strong>om 10 GCMs. <strong>Europe</strong>an Alps (top left), Sc<strong>and</strong><strong>in</strong>avia (topright), Icel<strong>and</strong> (bottom left), Svalbard (bottom right).Source: Radić <strong>and</strong> Hock, 2011.82 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate system2.3.5 Perma<strong>fr</strong>ostRelevancePerma<strong>fr</strong>ost is permanently <strong>fr</strong>ozen ground <strong>and</strong>consists of rock or soil that has rema<strong>in</strong>ed at orbelow 0 °C cont<strong>in</strong>uously for more than 2 years.It is a widespread phenomenon <strong>in</strong> the Arctic aswell as <strong>in</strong> the alp<strong>in</strong>e high mounta<strong>in</strong> environments(Harris et al., 2009; Boeckli et al., 2012; Gruber, 2012).<strong>Climate</strong> <strong>change</strong> leads to <strong>change</strong>s <strong>in</strong> spatial extent,thickness <strong>and</strong> temperature of perma<strong>fr</strong>ost. The<strong>change</strong>s are not uniform across all perma<strong>fr</strong>ost areas,but depend on the geographical location <strong>and</strong> specificcharacteristics of the perma<strong>fr</strong>ost.Perma<strong>fr</strong>ost <strong>in</strong>fluences the evolution of l<strong>and</strong>scapes<strong>and</strong> ecosystems <strong>and</strong> affects human <strong>in</strong><strong>fr</strong>astructure<strong>and</strong> safety. Perma<strong>fr</strong>ost warm<strong>in</strong>g or thaw <strong>in</strong>creasesrisks of natural hazards, such as rock falls, debrisflows <strong>and</strong> ground subsidence (Huggel et al., 2012).Arctic perma<strong>fr</strong>ost thaw can also accelerate climate<strong>change</strong> through the <strong>in</strong>creased release of CO 2<strong>and</strong>CH 4which is a powerful GHG (Zimov et al., 2006;Schuur et al., 2009; Isaksen et al., 2011).Past trendsPerma<strong>fr</strong>ost data is collected through nationalnetworks as well as globally. This <strong>in</strong>formationshows the regional <strong>and</strong> seasonal variation as wellas trends <strong>in</strong> perma<strong>fr</strong>ost temperatures. Changes <strong>in</strong>below-ground temperatures can be <strong>in</strong>fluenced asmuch by temporal variations of snow cover as by<strong>change</strong>s <strong>in</strong> the near-surface air temperature. It hasalso become evident that l<strong>and</strong>form characteristicssuch as elevation, topography, surface cover <strong>and</strong> soiltype also <strong>in</strong>fluence the effects of climate <strong>change</strong> onperma<strong>fr</strong>ost.Data <strong>fr</strong>om three boreholes, to a depth of 100 m ormore, extend<strong>in</strong>g <strong>fr</strong>om Svalbard to the Alps <strong>in</strong>dicatea long-term regional warm<strong>in</strong>g of perma<strong>fr</strong>ost of0.5–1.0 °C dur<strong>in</strong>g the recent decade (Harris et al.,2009). Cont<strong>in</strong>uous monitor<strong>in</strong>g over 5–7 years showswarm<strong>in</strong>g down to 60 m depth <strong>and</strong> current warm<strong>in</strong>grates at the perma<strong>fr</strong>ost surface of 0.04–0.07 °C/year,with greatest warm<strong>in</strong>g <strong>in</strong> Svalbard <strong>and</strong> northernSweden (Isaksen et al., 2007). In Switzerl<strong>and</strong>, somewarm<strong>in</strong>g <strong>and</strong> <strong>in</strong>creas<strong>in</strong>g active-layer depths (toplayer of the soil that thaws dur<strong>in</strong>g the summer)have been observed (Noetzli <strong>and</strong> Vonder Muehll,2010), but results vary between borehole locations<strong>and</strong> site characteristics such as different snow cover,surface cover, subsurface material, ice content<strong>in</strong> the underground <strong>and</strong> temperature conditions(Figure 2.16).In <strong>Europe</strong> data series with a length of more than15 years are available <strong>fr</strong>om Greenl<strong>and</strong>, Svalbard,northern Sweden <strong>and</strong> Switzerl<strong>and</strong>. Active layerthickness has generally <strong>in</strong>creased dur<strong>in</strong>g the periodof observation, but there is also significant variationdue to site characteristics (Figure 2.17).ProjectionsPerma<strong>fr</strong>ost areas are affected by the rate of warm<strong>in</strong>g<strong>and</strong> will very likely cont<strong>in</strong>ue to thaw across<strong>Europe</strong>, with the possible exception of Svalbard,where perma<strong>fr</strong>ost thaw can ma<strong>in</strong>ly be expectedat low elevations close to the coast (Voigt et al.,2010; Etzelmüller et al., 2011). Projections havealso shown that the palsa mires <strong>in</strong> Fennosc<strong>and</strong>iarepresent a special case of arctic perma<strong>fr</strong>ost whererapid responses can be expected. The probability ofa complete loss of palsas <strong>in</strong> northern Fennosc<strong>and</strong>iadur<strong>in</strong>g the 21st century is sensitive to the emissionsscenarios (see Box 2.5).Key messages: 2.3.5 Perma<strong>fr</strong>ost• In the past 10–20 years <strong>Europe</strong>an perma<strong>fr</strong>ost has shown a general warm<strong>in</strong>g trend, with greatestwarm<strong>in</strong>g <strong>in</strong> Svalbard <strong>and</strong> Sc<strong>and</strong><strong>in</strong>avia. The active layer thickness has <strong>in</strong>creased at some <strong>Europe</strong>anperma<strong>fr</strong>ost sites. Several sites show great <strong>in</strong>terannual variability which reflects the complex <strong>in</strong>teractionbetween the atmospheric conditions <strong>and</strong> local snow <strong>and</strong> ground characteristics.• Present <strong>and</strong> projected atmospheric warm<strong>in</strong>g is projected to lead to widespread warm<strong>in</strong>g <strong>and</strong> thaw<strong>in</strong>g ofperma<strong>fr</strong>ost.• Warm<strong>in</strong>g <strong>and</strong> thaw<strong>in</strong>g of perma<strong>fr</strong>ost is expected to <strong>in</strong>crease the risk of l<strong>and</strong>slides, ground subsidence<strong>and</strong> flash floods <strong>fr</strong>om burst<strong>in</strong>g glacial lakes. Thaw<strong>in</strong>g of perma<strong>fr</strong>ost also affects biodiversity <strong>and</strong> mayaccelerate climate <strong>change</strong> through release of CO 2<strong>and</strong> CH 4<strong>fr</strong>om arctic perma<strong>fr</strong>ost areas.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201283


Changes <strong>in</strong> the climate systemFigure 2.16 Observed perma<strong>fr</strong>ost temperatures <strong>fr</strong>om selected boreholes <strong>in</strong> <strong>Europe</strong>anmounta<strong>in</strong>sSubsurface temperatures (°C) – 10 m depth210– 1– 2– 3– 4– 5– 6– 7Subsurface temperatures (°C) – 20 m depth210– 1– 2– 3– 4– 5– 6– 7– 8– 81985 1990 1995 2000 2005 20101985 1990 1995 2000 2005 2010Dovrefjell (Norway)Muot Da Barba Peider (Switzerl<strong>and</strong>)Murtel-Corvatsch (Switzerl<strong>and</strong>)Juvvasshoei (Norway)Schilthorn (Switzerl<strong>and</strong>)Stockhorn (Switzerl<strong>and</strong>)Janssonhaugen (Norway)Matterhorn (Switzerl<strong>and</strong>)Note:Observed perma<strong>fr</strong>ost temperatures <strong>fr</strong>om a) 10 m <strong>and</strong> b) 20 m depth <strong>and</strong> their evolution for selected boreholes <strong>in</strong> <strong>Europe</strong>anmounta<strong>in</strong>s: the sites of the PACE transect <strong>and</strong> two additional sites <strong>in</strong> Switzerl<strong>and</strong> (Matterhorn <strong>and</strong> M.d. Barba Peider) <strong>and</strong> one<strong>in</strong> Norway (Dovrefjell).Source: Data for Swiss sites are provided by PERMOS <strong>and</strong> for Norwegian sites by the Norwegian Meteorological Institute.Figure produced by J. Noetzli <strong>and</strong> K. Isaksen.Figure 2.17 Comparison of active layer thickness <strong>fr</strong>om boreholes <strong>in</strong> the Alps, Norway <strong>and</strong>SvalbardActive layer depth (m)0– 1– 2– 3– 4– 5– 6– 7– 8– 9– 101985 1990 1995 2000 2005 2010Janssonhaugen (Norway)Muot Da Barba Peider (Switzerl<strong>and</strong>) Matterhorn (Switzerl<strong>and</strong>)Juvvasshoei (Norway)Murtel-Corvatsch (Switzerl<strong>and</strong>)Schilthorn (Switzerl<strong>and</strong>)Stockhorn (Switzerl<strong>and</strong>)Source: Data for Swiss sites are provided by PERMOS <strong>and</strong> for Norwegian sites by the Norwegian Meteorological Institute. Courtesy ofJ. Noetzli <strong>and</strong> K. Isaksen.84 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemBox 2.5Lowl<strong>and</strong> perma<strong>fr</strong>ost <strong>in</strong> sub-arctic palsa miresLowl<strong>and</strong> perma<strong>fr</strong>ost <strong>in</strong> <strong>Europe</strong> ma<strong>in</strong>ly exists <strong>in</strong> thenorthern parts of Norway, Sweden, F<strong>in</strong>l<strong>and</strong> <strong>and</strong> Icel<strong>and</strong><strong>in</strong> palsa mires. Palsas are peat mounds with an icecore that is <strong>fr</strong>ozen throughout the year. Palsa mires arediverse environments with unique geomorphologicalprocesses <strong>and</strong> a rich diversity of, for example, birdspecies. The extent <strong>and</strong> abundance of palsa mireshave decl<strong>in</strong>ed s<strong>in</strong>ce the 1960s <strong>in</strong> Sweden, F<strong>in</strong>l<strong>and</strong><strong>and</strong> Norway (Zuidhoff <strong>and</strong> Kolstrup, 2000; Luoto <strong>and</strong>Seppälä, 2003; Direktoratet for Naturforvaltn<strong>in</strong>g,2012). The depth of the active layer has <strong>in</strong>creased<strong>in</strong> northern Sweden dur<strong>in</strong>g the period 1978–2006(Åkerman <strong>and</strong> Johansson, 2008).The spatial distribution of palsa mires is stronglycorrelated with climate. Projections of the locationsof palsa mires <strong>in</strong> northern Fennosc<strong>and</strong>ia for the21st century suggest it to be likely (> 66 %) thatpalsa mires will disappear completely by the end of the21st century under medium (A1B; see Figure 2.18)<strong>and</strong> moderately high (A2) emissions scenarios (Fronzeket al., 2010). For a low emissions (B1) scenario, it wasmore likely than not (> 50 %) that conditions wouldrema<strong>in</strong> suitable over a small <strong>fr</strong>action of the currentpalsa distribution until the end of the 21st century.A decl<strong>in</strong>e <strong>in</strong> extent <strong>and</strong> abundance of palsa miresis expected to have a significant <strong>in</strong>fluence on thebiodiversity of sub-arctic mires <strong>and</strong> on regional carbonbudgets.Figure 2.18 Probability of complete lossof northern Fennosc<strong>and</strong>ianareas suitable for palsas <strong>in</strong> the21st centuryProbability (%)1009080706050403020100201020202030204020502060207020802090Note:Probability of complete loss of northernFennosc<strong>and</strong>ian areas suitable for palsas dur<strong>in</strong>gthe 21st century estimated us<strong>in</strong>g a probabilisticprojection of climate <strong>change</strong> for the SRES A1Bscenario.Source: Adapted <strong>fr</strong>om Fronzek et al., 2010.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201285


Changes <strong>in</strong> the climate system2.3.6 Arctic <strong>and</strong> Baltic Sea iceRelevanceObserved <strong>change</strong>s <strong>in</strong> the extent of Arctic Sea iceprovide early evidence of global climate warm<strong>in</strong>g.Sea ice is a habitat for endemic species <strong>in</strong> a uniqueecosystem, <strong>and</strong> it also plays an important role forthe pelagic ecosystem <strong>in</strong> the open ocean. Speciesspecialised to live <strong>in</strong> conditions dom<strong>in</strong>ated by seaice are affected <strong>and</strong> this can also affect use of liv<strong>in</strong>gnatural resources. Reduced polar sea ice will speedup global warm<strong>in</strong>g <strong>and</strong> is expected to affect oceancirculation <strong>and</strong> weather patterns across northern<strong>Europe</strong> (Petoukhov <strong>and</strong> Semenov, 2010).The projected loss of sea ice may offer new economicopportunities for oil <strong>and</strong> gas exploration, shipp<strong>in</strong>g,tourism <strong>and</strong> some types of fishery. Most of theseactivities would <strong>in</strong>crease pressure on, <strong>and</strong> risks to,the Arctic environment.Past trendsIn the period 1979–2012 the sea ice extent <strong>in</strong> theArctic decreased by 45 000 km 2 per year <strong>in</strong> w<strong>in</strong>ter(measured <strong>in</strong> March) <strong>and</strong> by 98 000 km 2 per year <strong>in</strong>summer (measured <strong>in</strong> September) (see Figure 2.19).W<strong>in</strong>ter sea ice loss has occurred <strong>in</strong> the peripheralseas, <strong>in</strong>fluenced by warmer oceans, while summersea ice loss has developed <strong>in</strong> the Arctic Ocean drivenby a warmer atmosphere (caused <strong>in</strong> part by warmeroceans south of Svalbard). This is evidenced byan earlier onset of summer surface melt (Stroeveet al., 2006). In contrast Antarctic sea ice reachedrecord high levels, with a monthly average SouthernHemisphere w<strong>in</strong>ter maximum extent <strong>in</strong> September2012 of 19.39 million square kilometres. Scientistslargely attribute the <strong>in</strong>crease <strong>in</strong> Antarctic sea iceextent to stronger circumpolar w<strong>in</strong>ds, which blowthe sea ice outward, <strong>in</strong>creas<strong>in</strong>g extent (NSIDC, 2012).Changes <strong>in</strong> Arctic Sea ice may trigger complexfeedback processes. A longer melt season results <strong>in</strong>a lower sea ice extent <strong>in</strong> autumn <strong>and</strong> <strong>in</strong>creased solarheat uptake by the ocean which delays the re<strong>fr</strong>eeze(Stammerjohn et al., 2012). However, a warmeratmosphere means more clouds <strong>and</strong> <strong>in</strong> summerthese reflect sunlight, thus represent<strong>in</strong>g a negativefeedback. Even so, some evidence suggests thatw<strong>in</strong>ter regrowth of ice is <strong>in</strong>hibited by the warmerocean surface (Jackson et al., 2012). Th<strong>in</strong>ner w<strong>in</strong>terice leads to more heat loss <strong>fr</strong>om the ocean <strong>and</strong> awarmer atmosphere, <strong>and</strong> hence a thicker cloud coverwhich <strong>in</strong>hibits the escape of heat to space (Palmet al., 2010), which is a positive feedback mechanism.The extent of the m<strong>in</strong>imum sea ice cover at theend of the melt season <strong>in</strong> September 2007 brokeall previously observed records. Comparison o<strong>fr</strong>ecent sea ice coverage with older ship <strong>and</strong> aircraftobservations suggests that sea ice coverage mayhave halved s<strong>in</strong>ce the 1950s (Meier et al., 2007). S<strong>in</strong>cethe more reliable satellite observations started <strong>in</strong>1979, summer ice has shrunk by 10.2 % per decade(Comiso et al., 2008; Killie <strong>and</strong> Lavergne, 2011). Thereduction <strong>in</strong> maximum w<strong>in</strong>ter extent is smaller,with a decrease of 2.9 % per decade (Stroeve et al.,2007; Comiso et al., 2008; Killie <strong>and</strong> Lavergne, 2011,personal communication). There is some evidencethat the decl<strong>in</strong>e <strong>in</strong> summer ice has accelerated s<strong>in</strong>ce1999 (Stroeve et al., 2011).The Arctic Sea ice is also gett<strong>in</strong>g th<strong>in</strong>ner <strong>and</strong>younger s<strong>in</strong>ce less sea ice survives the summer togrow <strong>in</strong>to thicker multi-year floes. Currently there isless multi-year ice than seasonal sea ice <strong>in</strong> the ArcticOcean (Kwok et al., 2009). It is hard to calculatetrends for the whole sea ice cover, but submar<strong>in</strong>edata collected <strong>in</strong> the central Arctic Ocean consideredto be the most representative suggest a decrease of40 % <strong>in</strong> sea ice thickness <strong>fr</strong>om an average of 3.1 m <strong>in</strong>1956–1978 to 1.8 m <strong>in</strong> the 1990s (UNEP, 2007). Britishsubmar<strong>in</strong>e data <strong>fr</strong>om 2007 also show cont<strong>in</strong>uedth<strong>in</strong>n<strong>in</strong>g (Wadhams et al., 2011).Key messages: 2.3.6 Arctic <strong>and</strong> Baltic Sea ice• The extent <strong>and</strong> volume of the Arctic Sea ice has decl<strong>in</strong>ed rapidly s<strong>in</strong>ce global data became available <strong>in</strong>1980, especially <strong>in</strong> summer. Record low sea ice cover <strong>in</strong> September 2007, 2011 <strong>and</strong> 2012 was roughlyhalf the size of the normal m<strong>in</strong>imum extent <strong>in</strong> the 1980s.• In the period 1979–2012, the Arctic has lost on average 45 000 km 2 of sea ice per year <strong>in</strong> w<strong>in</strong>ter <strong>and</strong>98 000 km 2 per year at the end of summer. The decl<strong>in</strong>e <strong>in</strong> summer sea ice appears to have accelerateds<strong>in</strong>ce 1999.• Arctic Sea ice is projected to cont<strong>in</strong>ue to shr<strong>in</strong>k <strong>in</strong> extent <strong>and</strong> thickness <strong>and</strong> may even disappear at theend of the summer melt season <strong>in</strong> the com<strong>in</strong>g decades. There will still be substantial ice <strong>in</strong> w<strong>in</strong>ter.• Baltic Sea ice, <strong>in</strong> particular the extent of the maximal cover, is projected to shr<strong>in</strong>k.86 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Changes <strong>in</strong> the climate systemFigure 2.19 Trend <strong>in</strong> Arctic Sea ice extent <strong>in</strong> March <strong>and</strong> September (1979–2012)Sea ice extent (million km 2 )20March trend: – 0.0447/year15105September trend: – 0.0978/year01975 1980 1985 1990 1995 2000 2005 2010 2015Arctic sea ice content L<strong>in</strong>ear (March trend) L<strong>in</strong>ear (September trend)Note:Time series of Arctic Sea ice extent <strong>fr</strong>om 1979 to 2012. Trend l<strong>in</strong>es <strong>and</strong> observation po<strong>in</strong>ts for March (the month of sea iceextent maximum) <strong>and</strong> September (the month of sea ice extent m<strong>in</strong>imum) have been <strong>in</strong>dicated.Source: Data produced by the EUMETSAT OSI SAF (http://osisaf.met.no) <strong>and</strong> the CryoClim (http://www.cryoclim.net) project,delivered through MyOcean (http://www.myocean.eu).Calculations of sea ice volume <strong>fr</strong>om satellite suggestthat the Arctic autumn (w<strong>in</strong>ter) sea ice volumedecreased by 1 237 km³ (862 km³) <strong>fr</strong>om 2004 to 2008(Kwok et al., 2009). This estimate is consistent withthe estimate by the Pan Arctic Ice-Ocean Modell<strong>in</strong>g<strong>and</strong> Assimilation System (PIOMAS), which suggeststhat the mean monthly sea ice volume decreasedby 2 800 km³/decade over the period 1979–2010.PIOMAS further suggests that sea ice volume hasdecreased by 70 % (September) <strong>and</strong> almost 40 %(March) relative to the period 1958–1978 (Schweigeret al., 2011).Information on sea ice extent <strong>in</strong> the Baltic Sea goesback to 1720. The maximum sea ice extent has beendecreas<strong>in</strong>g most of the time s<strong>in</strong>ce about 1800. Thedecrease <strong>in</strong> sea ice extent appears to have <strong>in</strong>creaseds<strong>in</strong>ce the 1980s but the large <strong>in</strong>terannual variabilityprohibits a clear assessment as to whether this<strong>in</strong>crease is statistically significant. The <strong>fr</strong>equencyof mild ice w<strong>in</strong>ters, def<strong>in</strong>ed as hav<strong>in</strong>g a maximumice cover of less than 130 000 km 2 , has <strong>in</strong>creasedsubstantially. The <strong>fr</strong>equency of severe ice w<strong>in</strong>ters,def<strong>in</strong>ed as hav<strong>in</strong>g a maximum ice cover of at least270 000 km 2 , has decreased (Figure 2.20).ProjectionsArctic summer sea ice is projected to cont<strong>in</strong>ueto shr<strong>in</strong>k. It may even disappear at the end ofthe summer melt season <strong>in</strong> the com<strong>in</strong>g decades,although there will still be substantial ice <strong>in</strong> w<strong>in</strong>ter(Meehl <strong>and</strong> Stocker, 2007; Allison et al., 2009). So farsummer-time melt<strong>in</strong>g of Arctic Sea ice has occurredmuch faster than projected by most climate models,which decreases confidence <strong>in</strong> projections of thefuture rate of Arctic Sea ice decl<strong>in</strong>e (Wang <strong>and</strong>Overl<strong>and</strong>, 2009). It has been suggested that the widespread <strong>in</strong> future sea ice projections is due to the<strong>in</strong>ability of many current climate models to properlyrepresent the thickness distribution of Arctic Sea ice(Kwok, 2011).Projections of Baltic Sea ice extent under differentemissions scenarios suggest that the maximal icecover will cont<strong>in</strong>ue to shr<strong>in</strong>k significantly <strong>in</strong> the21st century (Jylhä et al., 2008).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201287


Changes <strong>in</strong> the climate systemFigure 2.20 Maximum ice cover extent <strong>in</strong> the Baltic Sea (1719/1720–2010/2011)Maximum ice extent (km 2 )450 000400 000350 000300 000250 000200 000150 000100 00050 000Note:01720173017401750Annual176017701780179015-year mov<strong>in</strong>g average1800181018201830184018501860187018801890190019101920193019401950196019701980199020002010Maximum extent of ice cover <strong>in</strong> the Baltic Sea <strong>in</strong> the w<strong>in</strong>ters 1719/1720–2010/2011 (blue bars) <strong>and</strong> 15-year mov<strong>in</strong>g average(orange l<strong>in</strong>e).Source: Jouni Va<strong>in</strong>io, F<strong>in</strong>nish Meteorological Institute (updated <strong>fr</strong>om Se<strong>in</strong>ä <strong>and</strong> Palosuo, 1996; Se<strong>in</strong>ä et al., 2001).88 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3 <strong>Climate</strong> <strong>impacts</strong> on environmentalsystems3.1 Oceans <strong>and</strong> mar<strong>in</strong>e environment3.1.1 OverviewRelevanceThe oceans play a key role <strong>in</strong> the regulation ofclimate by transport<strong>in</strong>g heat northward <strong>and</strong> bydistribut<strong>in</strong>g energy <strong>fr</strong>om the atmosphere <strong>in</strong>to thedeep parts of the ocean. On the one h<strong>and</strong>, the GulfStream <strong>and</strong> its extensions, the north Atlantic current<strong>and</strong> drift, <strong>in</strong>fluence <strong>Europe</strong>an weather patterns <strong>and</strong>storm tracks. The heat transported northward by theoceanic circulation <strong>impacts</strong> precipitation <strong>and</strong> w<strong>in</strong>dregimes over <strong>Europe</strong>. On the other h<strong>and</strong>, oceansare also affected by the climatic conditions of theatmosphere (see Section 2.2) <strong>and</strong> the cryosphere(see Section 2.3). The <strong>in</strong>duced <strong>change</strong>s <strong>in</strong> physicalocean conditions, <strong>in</strong> turn, affect the mar<strong>in</strong>eecosystems.Selection of <strong>in</strong>dicatorsThis section reviews <strong>change</strong>s <strong>in</strong> the follow<strong>in</strong>gphysical <strong>and</strong> biological <strong>in</strong>dicators of oceans <strong>and</strong>mar<strong>in</strong>e ecosystems <strong>in</strong> <strong>Europe</strong>'s seas:• Ocean acidification;• Ocean heat content;• Sea surface temperature;• Phenology of mar<strong>in</strong>e species;• Distribution of mar<strong>in</strong>e species.Key messages: 3.1 Oceans <strong>and</strong> mar<strong>in</strong>e environment• Impacts of climate <strong>change</strong> are observed <strong>in</strong> all <strong>Europe</strong>an seas, although the extent to which <strong>impacts</strong>have been documented <strong>in</strong> time <strong>and</strong> space varies among the seas.• The primary physical impact of climate <strong>change</strong> <strong>in</strong> <strong>Europe</strong>an regional seas is <strong>in</strong>creased sea surfacetemperature. <strong>Climate</strong> <strong>change</strong> is expected to impact the physical conditions differently <strong>in</strong> <strong>Europe</strong>anregional seas, <strong>and</strong> consequently biological <strong>impacts</strong> also vary depend<strong>in</strong>g on the region.• North-east Atlantic: Sea surface temperature <strong>and</strong> ocean heat content are <strong>in</strong>creas<strong>in</strong>g <strong>in</strong> all regions,although at different rates. Warm<strong>in</strong>g is projected to extend throughout the water column dur<strong>in</strong>g the21st century. Sea surface temperature <strong>change</strong>s have already resulted <strong>in</strong> an <strong>in</strong>creased duration of themar<strong>in</strong>e grow<strong>in</strong>g season <strong>and</strong> <strong>in</strong> northward movement of mar<strong>in</strong>e zooplankton. Some fish species areshift<strong>in</strong>g their distributions northward <strong>in</strong> response to <strong>in</strong>creased temperatures.• Baltic Sea: Future climate <strong>change</strong> is projected to warm the Baltic Sea, to decrease its sal<strong>in</strong>ity, <strong>and</strong> todecrease sea ice extent by 50–80 % dur<strong>in</strong>g the 21st century. These <strong>change</strong>s <strong>in</strong> physical variables willaffect the ecosystems of the Baltic Sea <strong>in</strong> many ways. For example, <strong>change</strong>s <strong>in</strong> sal<strong>in</strong>ity <strong>and</strong> deep wateroxygen levels are likely to impact cod fisheries by affect<strong>in</strong>g the reproductive success of cod.• Mediterranean Sea: Temperature is projected to <strong>in</strong>crease, <strong>and</strong> run-off to the Mediterranean Sea todecrease, thereby <strong>in</strong>creas<strong>in</strong>g sal<strong>in</strong>ity. Stratification is projected to rema<strong>in</strong> largely constant because ofthe compensat<strong>in</strong>g effects of <strong>in</strong>creas<strong>in</strong>g temperature <strong>and</strong> <strong>in</strong>creas<strong>in</strong>g sal<strong>in</strong>ity on the density of sea water.Projected <strong>change</strong>s <strong>in</strong> storm<strong>in</strong>ess appear to be chang<strong>in</strong>g the mix<strong>in</strong>g conditions for nutrients <strong>in</strong>to thesurface layer <strong>in</strong> the central Mediterranean, lead<strong>in</strong>g to nutrient poor conditions. The observed <strong>in</strong>vasion<strong>and</strong> survival of alien species has been correlated to the warm<strong>in</strong>g trend <strong>in</strong> sea surface temperature.Such <strong>in</strong>vasions not only impact local ecosystems, they can also impact the activities of the <strong>in</strong>ternationalfish<strong>in</strong>g fleet.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201289


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsUncerta<strong>in</strong>ties <strong>and</strong> data gapsIn general, however, <strong>change</strong>s related to the physical<strong>and</strong> chemical mar<strong>in</strong>e environment are betterdocumented than biological <strong>change</strong>s because l<strong>in</strong>ksbetween cause <strong>and</strong> effect are better understood <strong>and</strong>often time series of observations are longer. Forexample, systematic observations of both sea-level<strong>and</strong> sea surface temperature were started around1880 <strong>and</strong> are today complemented by observations<strong>fr</strong>om space that have high resolution <strong>in</strong> time <strong>and</strong>geographical coverage <strong>and</strong> by Argo floats that alsoautomatically measure temperature <strong>and</strong> sal<strong>in</strong>itybelow the ocean surface. Ocean acidification occursas a consequence of well-def<strong>in</strong>ed chemical reactions,but its rate <strong>and</strong> biological consequences on a globalscale is subject to research. The longest availablerecords of plankton are <strong>fr</strong>om the Cont<strong>in</strong>uousPlankton Recorder (CPR) are some 60 years long.It is a sampler that is towed beh<strong>in</strong>d many differentmerchant vessels, along fixed shipp<strong>in</strong>g routes.Sampl<strong>in</strong>g was started <strong>in</strong> the North Sea <strong>in</strong> the 1950s<strong>and</strong> today a network cover<strong>in</strong>g the entire northAtlantic has been established. No other planktontime series of equivalent length <strong>and</strong> geographicalcoverage exist for the <strong>Europe</strong>an regional seas,although many new <strong>in</strong>itiatives <strong>in</strong>vestigat<strong>in</strong>g speciesdistributions <strong>and</strong> their <strong>change</strong>s <strong>in</strong> <strong>Europe</strong>'s seas arenow emerg<strong>in</strong>g.3.1.2 Ocean acidificationRelevanceAcross the ocean, the pH of surface watershas been relatively stable for millions of years.Over the last million years, average surface‐waterpH oscillated between 8.3 dur<strong>in</strong>g cold periods(e.g. dur<strong>in</strong>g the last glacial maximum, 20 000 yearsago) <strong>and</strong> 8.2 dur<strong>in</strong>g warm periods (e.g. just priorto the <strong>in</strong>dustrial revolution). Human activities arethreaten<strong>in</strong>g this stability by add<strong>in</strong>g large quantitiesof CO 2to the atmosphere, which is subsequentlypartially absorbed <strong>in</strong> the ocean. This process isreferred to as ocean acidification because sea waterpH is decl<strong>in</strong><strong>in</strong>g, even though ocean surface waterswill rema<strong>in</strong> alkal<strong>in</strong>e.When CO 2is absorbed by the ocean, it reacts withwater, produc<strong>in</strong>g carbonic acid. The role of thecarbonate ion is special because it acts as a buffer,help<strong>in</strong>g to limit the decl<strong>in</strong>e <strong>in</strong> ocean pH; however,it is be<strong>in</strong>g used up as we add more <strong>and</strong> moreanthropogenic CO 2to the ocean. As carbonate ionconcentrations decl<strong>in</strong>e, so does the ocean's capacityto take up anthropogenic CO 2. Currently, theocean takes up about one fourth of the global CO 2emissions <strong>fr</strong>om combustion of fossil fuels, cementproduction <strong>and</strong> deforestation (Canadell et al., 2007;Brewer, 2009; GCP, 2011). Hence, the ocean servesmank<strong>in</strong>d by moderat<strong>in</strong>g atmospheric CO 2<strong>and</strong> thusclimate <strong>change</strong>, but at a cost, namely <strong>change</strong>s <strong>in</strong> itsfundamental chemistry.It has been shown that corals, mussels, oysters<strong>and</strong> other mar<strong>in</strong>e calcifiers have a more difficulttime construct<strong>in</strong>g their calcareous shell or skeletalKey messages: 3.1.2 Ocean acidification• Surface-ocean pH has decl<strong>in</strong>ed <strong>fr</strong>om 8.2 to 8.1 over the <strong>in</strong>dustrial era due to the growth of atmosphericCO 2concentrations. This decl<strong>in</strong>e corresponds to a 30 % <strong>change</strong> <strong>in</strong> oceanic acidity.• Observed reductions <strong>in</strong> surface-water pH are nearly identical across the global ocean <strong>and</strong> throughout<strong>Europe</strong>'s seas.• Ocean acidification <strong>in</strong> recent decades is occurr<strong>in</strong>g a hundred times faster than dur<strong>in</strong>g past naturalevents over the last 55 million years.• Ocean acidification already reaches <strong>in</strong>to the deep ocean, particularly <strong>in</strong> the high latitudes.• Average surface-water pH is projected to decl<strong>in</strong>e further to 7.7 or 7.8 by the year 2100, depend<strong>in</strong>g onfuture CO 2emissions. This decl<strong>in</strong>e represents a 100 to 150 % <strong>in</strong>crease <strong>in</strong> acidity.• Ocean acidification may affect many mar<strong>in</strong>e organisms with<strong>in</strong> the next 20 years <strong>and</strong> could alter mar<strong>in</strong>eecosystems <strong>and</strong> fisheries.90 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsmaterial as the concentration of carbonate ionsdecreases. Most, but not all, mar<strong>in</strong>e calcify<strong>in</strong>gorganisms exhibit the same difficulty (Fabryet al., 2008). Furthermore, pH is a measurewhich affects not only <strong>in</strong>organic chemistry butalso many biological molecules <strong>and</strong> processes,<strong>in</strong>clud<strong>in</strong>g enzyme activities, calcification <strong>and</strong>photosynthesis. Thus, anthropogenic reductions<strong>in</strong> sea water pH could affect entire mar<strong>in</strong>eecosystems. A comprehensive recent study suggeststhat all coral reefs will cease to grow <strong>and</strong> start todissolve at an atmospheric CO 2level of 560 ppmdue to the comb<strong>in</strong>ed effects of acidification<strong>and</strong> warm<strong>in</strong>g (Silverman et al., 2009). This CO 2concentration would be atta<strong>in</strong>ed by 2050 underhigh bus<strong>in</strong>ess‐as‐usual emissions scenarios. Otherorganisms <strong>and</strong> ecosystems are likely to havedifferent thresholds.<strong>in</strong> ocean acidity (def<strong>in</strong>ed here as the hydrogenion concentration). This <strong>change</strong> has occurred ata rate that is about a hundred times faster thanany <strong>change</strong> <strong>in</strong> acidity experienced dur<strong>in</strong>g thelast 55 million years. The current decl<strong>in</strong>e <strong>in</strong> pH isalready measurable at the three ocean time seriesstations that are suitable to evaluate long-termtrends, located offshore of Hawaii, Bermuda <strong>and</strong>the Canary Isl<strong>and</strong>s. Figure 3.1 shows the time series<strong>fr</strong>om Hawaii, which is the longest <strong>and</strong> best knownone, <strong>and</strong> the <strong>change</strong>s here are similar to those thatare observed at a much shorter time scale <strong>in</strong> <strong>Europe</strong>.The measured reductions <strong>in</strong> surface pH at thosestations match exactly the values calculated on thebasis of <strong>in</strong>creas<strong>in</strong>g atmospheric CO 2concentrations,assum<strong>in</strong>g thermodynamic equilibrium betweenthe surface ocean <strong>and</strong> the atmosphere (Bates, 2005;Santana-Casiano et al., 2007; Dore et al., 2009).Past trendsIn December 2011, the atmospheric CO 2levelreached 392 ppm, which is 40 % more than thepre-<strong>in</strong>dustrial concentration (280 ppm); half of that<strong>in</strong>crease has occurred <strong>in</strong> the last 30 years. OceanpH has been reduced <strong>fr</strong>om 8.2 to 8.1 over the<strong>in</strong>dustrial era, which corresponds to a 30 % <strong>in</strong>creaseProjectionsAverage surface-water pH is projected to decl<strong>in</strong>efurther to 7.7 or 7.8 by the year 2100, depend<strong>in</strong>gon future CO 2emissions. This decl<strong>in</strong>e represents a100 to 150 % <strong>in</strong>crease <strong>in</strong> acidity. When atmosphericCO 2reaches 450 ppm, parts of the Southern Oceanwill start becom<strong>in</strong>g corrosive to calcium carbonateFigure 3.1Decl<strong>in</strong>e <strong>in</strong> pH measured at the Aloha station as part of the Hawaii Ocean timeseriespH Hawaii Ocean8.28.188.168.148.128.18.088.068.048.028January 1988January 1990January 1992January 1994January 1996January 1998January 2000January 2002January 2004January 2006January 2008January 2010Measured pH Calculated pH L<strong>in</strong>ear trend (calculated pH)Source: Dore, 2012.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201291


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsdur<strong>in</strong>g w<strong>in</strong>ter (McNeil <strong>and</strong> Matear, 2008). Ten percent of the Arctic Ocean may become corrosiveto calcium carbonate already by 2020 (Ste<strong>in</strong>acheret al., 2009), <strong>and</strong> surface waters of the Baltic Seawill still become corrosive well before the end ofthe century. In the Black Sea <strong>and</strong> MediterraneanSea there is no danger of surface waters becom<strong>in</strong>gcorrosive to calcium carbonate before 2100, butthey will suffer sharp reductions <strong>in</strong> carbonate ionconcentrations (Med Sea – 37 %; Black Sea – 45 %).These rapid chemical <strong>change</strong>s are an added pressureon mar<strong>in</strong>e calcifiers <strong>and</strong> ecosystems of the <strong>Europe</strong>anseas that are already heavily suffer<strong>in</strong>g <strong>fr</strong>om otheranthropogenic <strong>in</strong>fluences.Without dramatic actions to curb CO 2emissions,recovery <strong>fr</strong>om human-<strong>in</strong>duced acidification willrequire thous<strong>and</strong>s of years for the Earth systemto re-establish roughly similar ocean chemicalconditions (Archer, 2005; Tyrrell et al., 2007; Archer<strong>and</strong> Brovk<strong>in</strong>, 2008) <strong>and</strong> millions of years for coralreefs to return, based on palaeo-records of naturalcoral reef ext<strong>in</strong>ction events (Veron, 2008).3.1.3 Ocean heat contentRelevanceThe World Ocean is the dom<strong>in</strong>ant component of theEarth's heat balance. Oceans cover roughly 72 % ofthe planet's surface, <strong>and</strong> water has a heat uptakecapacity that is around 20 times greater than that ofthe atmosphere (Levitus et al., 2009, 2012). About90 % of the total warm<strong>in</strong>g caused by climate <strong>change</strong>is manifested <strong>in</strong> <strong>in</strong>creased global heat content.Hence, a precise estimate of Ocean Heat Content(OHC) is essential for underst<strong>and</strong><strong>in</strong>g the role ofoceans <strong>in</strong> past climate <strong>change</strong>, <strong>and</strong> for assess<strong>in</strong>gfuture climate <strong>change</strong> (Hansen, 2005; Church et al.,2011; Hansen et al., 2011). OHC is def<strong>in</strong>ed as the<strong>in</strong>tegrated temperature <strong>change</strong> times the densityof sea water, times specific heat capacity <strong>fr</strong>om thesurface down to the deep ocean. Estimates of it aremade based on temperature measurements or onreanalyses made us<strong>in</strong>g a comb<strong>in</strong>ation of models <strong>and</strong>observations (see Section 2.1).Changes <strong>in</strong> heat content also cause the ocean toexp<strong>and</strong> or contract, thereby chang<strong>in</strong>g sea levelregionally <strong>and</strong> globally (Cazenave <strong>and</strong> Llovel,2010). This thermosteric effect has contributedabout one quarter to global sea-level rise s<strong>in</strong>ce 1993(see Section 3.2.2).Past trendsThe warm<strong>in</strong>g of the World Ocean accounts forapproximately 90 % of the warm<strong>in</strong>g of the Earthdur<strong>in</strong>g the last 6 decades (Church et al., 2011;Hansen et al., 2011; Levitus et al., 2012).Figure 3.2 shows that the heat content of the WorldOcean has <strong>in</strong>creased s<strong>in</strong>ce around 1970. The l<strong>in</strong>eartrend over the whole time series 1955–2010 of theuppermost 700 m <strong>and</strong> 2 000 m layer was 0.27 Wm -2<strong>and</strong> 0.39 Wm -2 (per unit area of the World Ocean),respectively. Two thirds of the observed <strong>in</strong>crease ofglobal heat content has occurred <strong>in</strong> the upper 700 mof the ocean, with <strong>in</strong>creases <strong>in</strong> the layers below700 m depth account<strong>in</strong>g for the rema<strong>in</strong><strong>in</strong>g one third(Dore et al., 2009; Levitus et al., 2009, 2012; Purkey<strong>and</strong> Johnson, 2010). Heat content has <strong>in</strong>creased <strong>in</strong> allmajor sea bas<strong>in</strong>s of the World Ocean, <strong>in</strong> particular <strong>in</strong>the Atlantic Ocean (Levitus et al., 2012).Several global ocean data assimilation products areavailable to compare observation-based estimateswith <strong>in</strong>dependent reanalysis data. Global <strong>and</strong>bas<strong>in</strong>‐scale heat content warm<strong>in</strong>g trends <strong>in</strong> theupper 700 m of the ocean computed <strong>fr</strong>om a set ofKey messages: 3.1.3 Ocean heat content• The warm<strong>in</strong>g of the World Ocean accounts for approximately 93 % of the warm<strong>in</strong>g of the Earth systemdur<strong>in</strong>g the last 6 decades.• An <strong>in</strong>creas<strong>in</strong>g trend <strong>in</strong> the heat content <strong>in</strong> the uppermost 700 m depth of the World Ocean is evidentover the last 6 decades. Recent observations show substantial warm<strong>in</strong>g also of the deeper ocean(between 700 m <strong>and</strong> 2 000 m depth).• Further warm<strong>in</strong>g of the oceans is expected with projected climate <strong>change</strong>, but quantitative projectionsof ocean heat content are not available.92 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsglobal ocean reanalyses fall with<strong>in</strong> the range of themost recent observation-based estimates derivedus<strong>in</strong>g different methods (Lyman et al., 2010; Mas<strong>in</strong>aet al., 2011) (see also Box 3.1).ProjectionsProjections of OHC are very uncerta<strong>in</strong> <strong>and</strong> are hencenot <strong>in</strong>cluded here.Figure 3.2Ocean heat content calculated based on observations made <strong>in</strong> the upper 700 m ofthe water column (1955–2011)Heat content (10 22 Joules)20151050– 5– 101960 1970 1980 1990 2000 20103-month average through April–June 2012Source: Updated <strong>fr</strong>om Levitus et al., 2009.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201293


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsBox 3.1Mak<strong>in</strong>g the right observationsThe very large heat capacity of the oceans means that temperature <strong>change</strong>s must be measured with greatprecision <strong>and</strong> with high resolution, both of which have been difficult to achieve. The majority of the historicalglobal temperature <strong>change</strong>s come <strong>fr</strong>om Expendable Bathythermographs (XBTs) <strong>and</strong> Conductivity/Temperature/Depth (CTD) shipboard measurements. However, spatial <strong>and</strong> temporal sparseness of data, regional <strong>and</strong> temporalbiases <strong>in</strong> observations, <strong>and</strong> chang<strong>in</strong>g proportions of data <strong>fr</strong>om different <strong>in</strong>strument types, established the needfor a homogeneous global observ<strong>in</strong>g system. This need led to the implementation of the <strong>in</strong>ternational array ofArgo profil<strong>in</strong>g floats. Argo is a global array of 3 000 <strong>fr</strong>ee-drift<strong>in</strong>g profil<strong>in</strong>g floats that measure the temperature <strong>and</strong>sal<strong>in</strong>ity of the upper 2 000 m of the ocean (see Map 3.1). Temperature, sal<strong>in</strong>ity <strong>and</strong> velocity of the upper oceanare cont<strong>in</strong>uously monitored, <strong>and</strong> all data is made publicly available with<strong>in</strong> hours after collection. One of Argo'smost important contributions is a major improvement <strong>in</strong> estimates of OHC (von Schuckmann <strong>and</strong> Le Traon, 2011;Levitus et al., 2012).The ma<strong>in</strong> challenge for Argo is to ma<strong>in</strong>ta<strong>in</strong> the global array for the next decades, which requires <strong>in</strong>ternationalcommitments to provide <strong>and</strong> deploy about 800 to 900 floats per year.Additional floats would be needed for more uniform sampl<strong>in</strong>g <strong>and</strong> for exp<strong>and</strong>ed coverage of polar regions,marg<strong>in</strong>al seas <strong>and</strong> the deep ocean below 2 000 m depth.In 2008, the project Euro-Argo started develop<strong>in</strong>g a <strong>Europe</strong>an <strong>in</strong><strong>fr</strong>astructure for Argo to the level where <strong>Europe</strong>anpartners have the capacity to support approximately one quarter of the global array, <strong>and</strong> to provide an additional50 floats per year for enhanced coverage <strong>in</strong> the <strong>Europe</strong>an <strong>and</strong> marg<strong>in</strong>al seas. The Euro-Argo project <strong>in</strong>cludesamong others Germany, France <strong>and</strong> the United K<strong>in</strong>gdom, which are the major <strong>Europe</strong>an contributors to Argo.In 2012, the collaboration around Euro-Argo was formalised <strong>in</strong> a Research In<strong>fr</strong>astructure Consortium whichenables <strong>Europe</strong> to build <strong>and</strong> susta<strong>in</strong> its contribution to the global array while provid<strong>in</strong>g enhanced coverage <strong>in</strong> theNorth‐east Atlantic, Mediterranean <strong>and</strong> Black Seas.Map 3.1 Location of Argo floats <strong>in</strong> 201260 °N30 °N0 °30 °S60 °S60 °E 120 °E 180 ° 120 °W 60 °W 0 °Source: See http://www.argo.ucsd.edu <strong>and</strong> http://www.euro-argo.eu/About-us/The-Research-In<strong>fr</strong>astructure.94 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.1.4 Sea surface temperatureRelevanceSea surface temperature (SST) is relevant formonitor<strong>in</strong>g of climate <strong>change</strong> because it reflectsregional <strong>change</strong>s <strong>in</strong> ocean temperature, whereasOHC is estimated globally. SST is closely l<strong>in</strong>ked toone of the strongest drivers of climate <strong>in</strong> western<strong>Europe</strong>, the ocean circulation that is known asAtlantic Meridional Overturn<strong>in</strong>g Circulation (MOC)or alternatively as the great conveyor belt. Thiscirculation carries warm upper waters north <strong>in</strong> theGulf Stream <strong>and</strong> returns cold deep waters south. Itis widely accepted that the MOC is an importantdriver of low-<strong>fr</strong>equency variations <strong>in</strong> sea surfacetemperature on the time scale of several decades(Griffies, 1997). It is also widely accepted that theNAO‐<strong>in</strong>dex (a proxy of atmospheric variability)plays a key role <strong>in</strong> forc<strong>in</strong>g variations <strong>in</strong> MOC aswell as the northward extent of the Gulf Stream(Frankignoul <strong>and</strong> Kestenare, 2005; de Coëtlogonet al., 2006).The MOC sensitivity to greenhouse warm<strong>in</strong>grema<strong>in</strong>s a subject of much scientific debate, largelybecause its large natural variability <strong>and</strong> the scarcityof observations makes trend detection very difficult(Curry, 2005; Cunn<strong>in</strong>gham et al., 2007; Matei et al.,2012).One of the most visible ramifications of <strong>in</strong>creasedtemperature <strong>in</strong> the ocean is the reduced areaof sea ice coverage <strong>in</strong> the Arctic polar region(see Section 2.3.6). There is an accumulat<strong>in</strong>g body ofevidence suggest<strong>in</strong>g that many mar<strong>in</strong>e ecosystemsare also sensitive to <strong>change</strong>s <strong>in</strong> SST. For example, thespread of oxygen-<strong>fr</strong>ee areas (so called dead zones)<strong>in</strong> the Baltic Sea <strong>in</strong> the past 1 000 years was stronglyl<strong>in</strong>ked to above-average SST (Kabel et al., 2012).Past trendsSST is <strong>in</strong>creas<strong>in</strong>g globally <strong>and</strong> <strong>in</strong> <strong>Europe</strong>'s seas(Frankignoul <strong>and</strong> Kestenare, 2005) but the rate ofwarm<strong>in</strong>g varies across <strong>Europe</strong>an seas (Figure 3.3<strong>and</strong> Map 3.2). Observed <strong>change</strong>s <strong>in</strong> SST of the globalocean <strong>and</strong> the regional seas of <strong>Europe</strong> are consistentwith the <strong>change</strong>s <strong>in</strong> atmospheric temperature(Levitus, 2000; Rayner et al., 2006).ProjectionsGlobal SST is projected to rise more slowly thanatmospheric temperature. Initially ocean warm<strong>in</strong>gwill be largest <strong>in</strong> the upper 100 m of the ocean, butwarm<strong>in</strong>g will cont<strong>in</strong>ue to penetrate <strong>in</strong> the deepocean dur<strong>in</strong>g the 21st century (Watterson, 2003;Stouffer, 2004; IPCC, 2007). It is not possible toproject <strong>change</strong>s <strong>in</strong> SST or the different geographicregions across <strong>Europe</strong> because the spatial resolutionof the coupled ocean-climate models is not highenough to evaluate trends on the scale of <strong>in</strong>dividual<strong>Europe</strong>an regional seas.Key messages: 3.1.4 Sea surface temperature• Sea surface temperature <strong>in</strong> <strong>Europe</strong>an seas is <strong>in</strong>creas<strong>in</strong>g more rapidly than <strong>in</strong> the global oceans.• The rate of <strong>in</strong>crease <strong>in</strong> sea surface temperature <strong>in</strong> all <strong>Europe</strong>an seas dur<strong>in</strong>g the past 25 years is thelargest ever measured <strong>in</strong> any previous 25-year period. It has been about 10 times faster than theaverage rate of <strong>in</strong>crease dur<strong>in</strong>g the past century <strong>and</strong> beyond.• Global sea surface temperature is projected to rise more slowly than atmospheric temperature.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201295


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsFigure 3.3Annual average sea surface temperature anomaly <strong>in</strong> different <strong>Europe</strong>an seas(1871–2011)SST anomaly (°C)1.00.50.0– 0.5– 1.01870 1880 1890 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010Global ocean Baltic Sea North Atlantic North Sea Mediterranean Sea Black SeaNote:Time series of annual average sea surface temperature (°C), referenced to the average temperature between 1986 <strong>and</strong>2010, <strong>in</strong> each of the <strong>Europe</strong>an seas.Sources: SST datasets <strong>fr</strong>om the Hadley Centre (HADISST1 (global)), MOON-ENEA (Mediterranean Sea), <strong>and</strong> Bundesamt fürSeeschifffahrt und Hydrographie (Baltic <strong>and</strong> North Seas), <strong>and</strong> MyOcean.Map 3.2Mean annual sea surface temperature trend (<strong>in</strong> °C per year) <strong>in</strong> <strong>Europe</strong>an seas(1987–2011)0.05-30°0.08-20°0.03-10°0°10°20°30°40°50°60°70°Mean annual sea surfacetemperature trend <strong>in</strong><strong>Europe</strong>an seas, 1987–20110.020.04°C per year0.160°0.040.030.080.0250°0.060.030.0450°0.020.020.0240°0– 0.0240°0.020.020.04– 0.040.050 500 1000 1500 km0°10°20°30°40°Source: HADSST1 dataset (http://hadobs.metoffice.com/hadisst/data/download.html), masked where ice coverage constituted morethan 20 % of the sea water.96 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.1.5 Phenology of mar<strong>in</strong>e speciesRelevancePhenology is the study of annually recurr<strong>in</strong>glife-cycle events of species, such as the tim<strong>in</strong>g ofmigrations <strong>and</strong> flower<strong>in</strong>g of plants. In the mar<strong>in</strong>eenvironment, phenology <strong>in</strong>dicators <strong>in</strong>clude thetim<strong>in</strong>g of the spr<strong>in</strong>g phytoplankton bloom <strong>and</strong>the peak <strong>in</strong> abundance of other mar<strong>in</strong>e organisms.Change <strong>in</strong> phenology is one of the key <strong>in</strong>dicatorsof the <strong>impacts</strong> of climate <strong>change</strong> on biologicalpopulations. Because mar<strong>in</strong>e species have differentsensitivities to <strong>change</strong>s <strong>in</strong> temperature, these<strong>change</strong>s may lead to large shifts <strong>in</strong> the mar<strong>in</strong>e foodweb that can ultimately affect the food available tofish, birds or mar<strong>in</strong>e mammals. Differ<strong>in</strong>g responseshave been seen across various levels of the food web(Thackeray et al., 2010).Changes <strong>in</strong> the phenology of different planktonspecies are seen as a factor contribut<strong>in</strong>g to thedecl<strong>in</strong>e <strong>in</strong> North Sea cod stocks, which was caused<strong>in</strong>itially by over-fish<strong>in</strong>g, <strong>and</strong> they have probablyaffected other fish populations (such as s<strong>and</strong>eels) that are an essential food source for seabirds(Beaugr<strong>and</strong> et al., 2003; Edwards <strong>and</strong> Richardson,2004; Frederiksen et al., 2006).In the North Sea, work on pelagic phenology hasshown that plankton communities, <strong>in</strong>clud<strong>in</strong>gfish larvae, are very sensitive to regional climatewarm<strong>in</strong>g. Responses to warm<strong>in</strong>g vary betweentrophic levels <strong>and</strong> functional groups, which maycreate a so-called 'trophic mismatch' betweenone species <strong>and</strong> their food source (Thackerayet al., 2010) (see also Section 3.4 for terrestrialecosystems). The sexual maturation of decapodalarvae has been found to be particularly sensitiveto water temperature <strong>and</strong> is therefore regardedas representative of phenological <strong>change</strong>s <strong>in</strong> theshelf-sea environments (L<strong>in</strong>dley, 2009). Other taxathat also have their seasonal development closelytriggered by temperature <strong>change</strong>s are also highlysensitive (e.g. ech<strong>in</strong>oderm larvae, d<strong>in</strong>oflagellates,copepods).Past trendsThe zooplankton grow<strong>in</strong>g season <strong>in</strong>dicator showsthe annual tim<strong>in</strong>g of peak seasonal abundanceof decapoda larvae <strong>fr</strong>om 1958–2009 <strong>in</strong> the centralNorth Sea (Figure 3.4 left). A shift towards an earlierseasonal peak is clearly visible, <strong>in</strong> particular s<strong>in</strong>ce1988. S<strong>in</strong>ce the 1990s the seasonal development ofdecapoda larvae has occurred 4–6 weeks earlier thanthe long‐term average (basel<strong>in</strong>e mean 1958–2009).This trend towards an earlier seasonal appearanceof decapoda larvae dur<strong>in</strong>g the 1990s is highlycorrelated with SSTs (Figure 3.4 right). Even thoughdecapoda larvae are not rout<strong>in</strong>ely identified tospecies level, a recent study has shown that thesephenological shifts are a response at the specieslevel, <strong>and</strong> not simply different seasonal tim<strong>in</strong>gs bydifferent species (L<strong>in</strong>dley <strong>and</strong> Kirby, 2010).Key messages: 3.1.5 Phenology of mar<strong>in</strong>e species• Temperature <strong>in</strong>creases <strong>in</strong> the ocean have caused many mar<strong>in</strong>e organisms <strong>in</strong> <strong>Europe</strong>an seas to appearearlier <strong>in</strong> their seasonal cycles than <strong>in</strong> the past. Some plankton species have advanced their seasonalcycle by 4–6 weeks <strong>in</strong> recent decades.• Projections of the phenological responses of <strong>in</strong>dividual species are not available, but phenological<strong>change</strong>s are expected to cont<strong>in</strong>ue with projected further climate <strong>change</strong>.• Changes <strong>in</strong> the plankton phenology have important consequences for other organisms with<strong>in</strong> anecosystem <strong>and</strong> ultimately for the structure of mar<strong>in</strong>e food -webs at all trophic levels. Potentialconsequences <strong>in</strong>clude <strong>in</strong>creased <strong>vulnerability</strong> of North Sea cod stocks to over-fish<strong>in</strong>g; <strong>and</strong> <strong>change</strong>s <strong>in</strong>seabird populations.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201297


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsFigure 3.4Decapoda larvae abundance <strong>and</strong> phenology <strong>in</strong> the central North SeaYear200920041999199419891984197919741969Mean number of decapods per sample1110.5109.598.587.576.565.554.543.532.521.510.50Month of peak abundance1098765196441950 1960 1970 1980 1990 2000 2010 202019592 4 6 8 10 12MonthDecapoda larvae phenologyNote: Left: Decapoda larvae abundance <strong>in</strong> the central North Sea 1958–2009.Right: Phenology shown as average month of peak decapoda abundance (number of <strong>in</strong>dividuals) <strong>in</strong> the central North Sea1958–2009.Source: Sir Alister Hardy Foundation for Ocean Science (SAHFOS).ProjectionsProjections of the phenological responses of<strong>in</strong>dividual species under climate <strong>change</strong> have notyet been made, but the empirical evidence suggeststhat phenological <strong>change</strong>s will cont<strong>in</strong>ue as climatewarm<strong>in</strong>g cont<strong>in</strong>ues. It is currently uncerta<strong>in</strong> asto whether genetic adaptations with<strong>in</strong> speciespopulations can cope with these <strong>change</strong>s, at leastpartly, or whether the pace of climate <strong>change</strong> istoo fast for genetic adaptations to take place. Thisuncerta<strong>in</strong>ty is further compounded by the difference<strong>in</strong> phenological responses between species <strong>and</strong>functional groups. If current patterns <strong>and</strong> ratesof phenological <strong>change</strong> are <strong>in</strong>dicative of futuretrends, future climate warm<strong>in</strong>g may exacerbatetrophic mismatch<strong>in</strong>g. This could further disruptthe function<strong>in</strong>g, persistence <strong>and</strong> resilience of manyecosystems, potentially hav<strong>in</strong>g a major impact onecosystem services.98 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.1.6 Distribution of mar<strong>in</strong>e speciesRelevanceChanges <strong>in</strong> the distribution of organisms are one ofthe key <strong>in</strong>dicators of mar<strong>in</strong>e climate <strong>change</strong> <strong>impacts</strong>.Distribution maps <strong>fr</strong>om the North-east Atlantic areused as one part of this <strong>in</strong>dicator to demonstratelarge-scale <strong>change</strong>s at the decadal scale. The secondpart of this <strong>in</strong>dicator describes the ratio betweena warm-water species (Calanus helgol<strong>and</strong>icus) <strong>and</strong>a cold-water species (Calanus f<strong>in</strong>marchicus) <strong>in</strong> theNorth Sea on an annual basis (see Figure 3.5). In theeastern Mediterranean Sea, the <strong>in</strong>troduction of warm<strong>and</strong> tropical alien species <strong>fr</strong>om the Red Sea hasbeen exacerbated by observed warm<strong>in</strong>g, lead<strong>in</strong>g toa 150 % <strong>in</strong>crease <strong>in</strong> the annual mean rate of speciesentry after 1998 (Raitsos et al., 2010).Changes <strong>in</strong> mar<strong>in</strong>e plankton can trigger furthereffects on mar<strong>in</strong>e <strong>and</strong> terrestrial ecosystems. Forexample, <strong>in</strong>creases <strong>in</strong> the surface temperature ofthe North Sea <strong>in</strong> recent decades have triggeredestablishment of warm-water swimm<strong>in</strong>g crabs,which <strong>in</strong> turn allowed establishment of colonies oflesser black-backed gulls <strong>in</strong> Belgium <strong>and</strong> northernFrance, with expected follow-on <strong>impacts</strong> onterrestrial ecosystems through their fertilisation ofterrestrial soils (Luczak et al., 2012).Past trendsIncreases <strong>in</strong> regional sea temperatures havetriggered a major northward movement ofwarmer‐water plankton <strong>in</strong> the North-east Atlantic<strong>and</strong> a similar retreat of colder-water planktonto the north. This northerly movement is about10 ° latitude (1 100 km) over the past 40 years (amean poleward movement of between 200 <strong>and</strong>250 km per decade), <strong>and</strong> there appears to havebeen an acceleration s<strong>in</strong>ce 2000 (Beaugr<strong>and</strong>, 2009).Recently, a Norwegian study showed even fasterrates of northward movement between 1997 <strong>and</strong>2010. Out of about 1 600 benthic mar<strong>in</strong>e speciesfound <strong>in</strong> coastal waters of southern Norway, 565species had exp<strong>and</strong>ed their distribution northwardsalong the coast, at rates of 500–800 km per decade(Brattegard, 2011). These rates are much faster thanany other documented terrestrial study.ProjectionsFurther <strong>change</strong>s <strong>in</strong> the distribution of mar<strong>in</strong>e speciesare expected, with projected further climate <strong>change</strong>,but quantitative projections are not available.Key messages: 3.1.6 Distribution of mar<strong>in</strong>e species• Increases <strong>in</strong> regional sea temperatures have triggered a major northward expansion of warmer-waterplankton <strong>in</strong> the North-east Atlantic <strong>and</strong> a northward retreat of colder-water plankton. This northerlymovement is about 10 ° latitude (1 100 km) over the past 40 years, <strong>and</strong> it seems to have accelerateds<strong>in</strong>ce 2000.• Sub-tropical species are occurr<strong>in</strong>g with <strong>in</strong>creas<strong>in</strong>g <strong>fr</strong>equency <strong>in</strong> <strong>Europe</strong>an waters, <strong>and</strong> sub-Arctic speciesare reced<strong>in</strong>g northwards.• Further <strong>change</strong>s <strong>in</strong> the distribution of mar<strong>in</strong>e species are expected, with projected further climate<strong>change</strong>, but quantitative projections are not available.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 201299


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsFigure 3.5Calanus ratio <strong>in</strong> the North SeaYear20092004199919941989198419791974Calanus helgol<strong>and</strong>icus/Calanus f<strong>in</strong>marchicus ratio0.950.90.850.80.750.70.650.60.550.50.450.40.350.30.250.20.150.10.050Annual mean number of Calanus per sample35302520151051969196401958196319681973197819831988199319982003200819592 4 6 8 10 12MonthC. helgol<strong>and</strong>icusC. f<strong>in</strong>marchicusNote: Left: Temporal <strong>and</strong> seasonal distribution of the Calanus ratio 1958–2009.Right: Change <strong>in</strong> Calanus ratio <strong>in</strong> the North Sea between 1958 <strong>and</strong> 2009.Source: Sir Alister Hardy Foundation for Ocean Science (SAHFOS).100 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.2 Coastal zones3.2.1 OverviewRelevanceCoastal zones <strong>in</strong> <strong>Europe</strong> are centres of population<strong>and</strong> economic activity. They are <strong>in</strong>habitedby diverse ecosystems, <strong>in</strong> particular wetl<strong>and</strong>ecosystems. Projected climate <strong>change</strong>, <strong>in</strong>clud<strong>in</strong>gsea-level rise <strong>and</strong> associated <strong>change</strong>s <strong>in</strong> <strong>fr</strong>equency<strong>and</strong>/or <strong>in</strong>tensity of storm surges <strong>and</strong> erosion,threaten human <strong>and</strong> natural systems at the coasts<strong>in</strong> various ways. Management of the coastal zonesneeds to consider the multiple functions of manycoastal areas, which is <strong>in</strong>creas<strong>in</strong>gly occurr<strong>in</strong>gthrough <strong>in</strong>tegrated coastal zone management.Adaptation policies also need to consider the fullrange of adaptation options, <strong>in</strong>clud<strong>in</strong>g measuressuch as dike build<strong>in</strong>g, beach nourishment,rehabilitation of coastal ecosystems, area-relatedmeasures, <strong>in</strong>tegrated coastal zone management,<strong>and</strong> elaboration <strong>and</strong> distribution of flood hazard<strong>and</strong> flood risk maps for costal zones accord<strong>in</strong>g tothe Flood Risk Management Directive.Selection of <strong>in</strong>dicatorsThis section presents the follow<strong>in</strong>g <strong>in</strong>dicators onthreats to the coastal zone that are sensitive toclimate <strong>change</strong>:• Global <strong>and</strong> <strong>Europe</strong>an sea-level rise;• Storm surges.The f<strong>in</strong>al section presents <strong>in</strong>formation on coastalerosion. This <strong>in</strong>formation is not presented as an EEA<strong>in</strong>dicator because regular updates of the underly<strong>in</strong>g<strong>in</strong>formation base cannot be expected.Another important risk <strong>in</strong> low-ly<strong>in</strong>g coastalregions is salt-water <strong>in</strong>trusion <strong>in</strong>to <strong>fr</strong>eshwaterreservoirs. Salt-water <strong>in</strong>trusion can be caused byrelative sea‐level rise <strong>and</strong> by overexploitation ofgroundwater resources. It can threaten <strong>fr</strong>eshwatersupply, agriculture <strong>and</strong> ecosystems <strong>in</strong> coastalregions. However, current data availability is<strong>in</strong>sufficient for develop<strong>in</strong>g an <strong>in</strong>dicator on salt-water<strong>in</strong>trusion. Information on ecological <strong>impacts</strong> ofclimate <strong>change</strong> is not presented <strong>in</strong> this report due toa lack of data at <strong>Europe</strong>an scale. Further <strong>in</strong>formationon the economic <strong>and</strong> health risks associated withsea-level rise is presented <strong>in</strong> Section 5.5.2.Key messages: 3.2 Coastal zones• Projected sea-level rise, possible <strong>change</strong>s <strong>in</strong> the <strong>fr</strong>equency <strong>and</strong> <strong>in</strong>tensity of storm surges <strong>and</strong> theresult<strong>in</strong>g coastal erosion are expected to have major <strong>impacts</strong> on low-ly<strong>in</strong>g coastal areas across <strong>Europe</strong>.• Future global mean sea-level rise <strong>in</strong> the 21st century is likely to be greater than dur<strong>in</strong>g the20th century. It is more likely to be less than 1 m than to be more than 1 m.• Projections of <strong>change</strong>s <strong>in</strong> storms currently have high uncerta<strong>in</strong>ty. Increases <strong>in</strong> extreme coastal waterlevels will likely be dom<strong>in</strong>ated by <strong>in</strong>creases <strong>in</strong> local relative mean sea level rather than by <strong>change</strong>s <strong>in</strong>storm activity <strong>in</strong> most locations.• Coastal erosion <strong>in</strong> <strong>Europe</strong> causes significant ecological damage, economic loss <strong>and</strong> other societalproblems. About one quarter of the <strong>Europe</strong>an coastl<strong>in</strong>e for which data is available is currently erod<strong>in</strong>g.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012101


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.2.2 Global <strong>and</strong> <strong>Europe</strong>an sea-level riseRelevanceSea level is an important <strong>in</strong>dicator of climate <strong>change</strong>because it is associated with significant potential<strong>impacts</strong> on settlements, <strong>in</strong><strong>fr</strong>astructure, people <strong>and</strong>natural systems. It acts on time scales much longerthan those of <strong>in</strong>dicators that are closely related tonear-surface temperature <strong>change</strong> (see Section 2.2).Even if GHG concentrations were stabilisedimmediately, sea level would cont<strong>in</strong>ue to rise forcenturies.Low-ly<strong>in</strong>g coastl<strong>in</strong>es with high population densities<strong>and</strong> small tidal ranges are most vulnerable tosea-level rise, <strong>in</strong> particular where adaptation ish<strong>in</strong>dered by a lack of economic resources or byother constra<strong>in</strong>ts. In <strong>Europe</strong>, the potential <strong>impacts</strong> ofsea-level rise <strong>in</strong>clude flood<strong>in</strong>g, coastal erosion, <strong>and</strong>the loss of flat coastal regions (EEA, 2010). Ris<strong>in</strong>gsea levels can also cause salt-water <strong>in</strong>trusion <strong>in</strong>tolow-ly<strong>in</strong>g aquifers <strong>and</strong> endanger coastal ecosystems<strong>and</strong> wetl<strong>and</strong>s. Higher flood levels <strong>in</strong>crease the risksto life <strong>and</strong> property, <strong>in</strong>clud<strong>in</strong>g sea dikes <strong>and</strong> other<strong>in</strong><strong>fr</strong>astructure, with possible follow-up effects ontourism, recreation <strong>and</strong> transportation functions.Damage associated with sea-level rise would<strong>fr</strong>equently result <strong>fr</strong>om extreme events, such as stormsurges, the <strong>fr</strong>equency of which would <strong>in</strong>crease as themean sea-level rises (see Section 3.2.3).Changes <strong>in</strong> global average sea level result <strong>fr</strong>om acomb<strong>in</strong>ation of several physical processes. Thermalexpansion of the oceans occurs as a result ofwarm<strong>in</strong>g ocean water. Additional water is added tothe ocean <strong>fr</strong>om a net melt<strong>in</strong>g of glaciers <strong>and</strong> smallice caps, <strong>and</strong> <strong>fr</strong>om the large Greenl<strong>and</strong> <strong>and</strong> WestAntarctic ice sheets. Further contributions may come<strong>fr</strong>om <strong>change</strong>s <strong>in</strong> the storage of liquid water on l<strong>and</strong>,either <strong>in</strong> natural reservoirs such as groundwater orman-made reservoirs.The locally experienced <strong>change</strong>s <strong>in</strong> sea level differ<strong>fr</strong>om global average <strong>change</strong>s for various reasons.Changes <strong>in</strong> water density are not expected to bespatially uniform, <strong>and</strong> <strong>change</strong>s <strong>in</strong> ocean circulationalso have regionally different <strong>impacts</strong>. At anyparticular location there may also be a verticalmovement of the l<strong>and</strong> <strong>in</strong> either direction, forexample due to the post-glacial rebound (<strong>in</strong> northern<strong>Europe</strong>) or to local groundwater extraction.Past trendsSea-level <strong>change</strong>s can be measured us<strong>in</strong>g tidegauges <strong>and</strong> remotely <strong>fr</strong>om space us<strong>in</strong>g altimeters.Many tide gauge measurements have longmulti‐decade time series, with some exceed<strong>in</strong>g morethan 100 years. However, the results can be distortedby local effects. Satellite altimeters enable sea levelto be measured <strong>fr</strong>om space <strong>and</strong> give much betterspatial coverage (except at high latitudes). However,the length of the record is limited.Key messages: 3.2.2 Global <strong>and</strong> <strong>Europe</strong>an sea-level rise• Tide gauges show that global mean sea level rose at a rate of around 1.7 mm/year over the20th century, but there has been significant decadal variations around this value.• Satellite measurements show a rate of global mean sea-level rise of around 3 mm/year over the last2 decades.• Sea level is not ris<strong>in</strong>g uniformly at all locations, with some locations experienc<strong>in</strong>g much greater thanaverage rise.• Projections of global mean sea-level rise <strong>in</strong> the 21st century range between 20 cm <strong>and</strong> about 2 m.Modell<strong>in</strong>g uncerta<strong>in</strong>ty contributes at least as much to the overall uncerta<strong>in</strong>ty as uncerta<strong>in</strong>ty about futureGHG emissions scenarios. It is likely that 21st century sea-level rise will be greater than dur<strong>in</strong>g the20th century. It is more likely to be less than 1 m than to be more than 1 m.• Coastal <strong>impacts</strong> also depend on the vertical movement of the l<strong>and</strong>, which can either add to or subtract<strong>fr</strong>om climate-<strong>in</strong>duced sea-level <strong>change</strong>, depend<strong>in</strong>g on the particular location.102 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsRates of global mean sea-level (GMSL) rise havebeen estimated at approximately 3 mm/year s<strong>in</strong>cearound the mid-1990s (Church <strong>and</strong> White, 2011).This is greater than the longer term rise dur<strong>in</strong>g the20th century of around 1.7 mm/year, which is shown<strong>in</strong> Figure 3.6. There is evidence that the contribution<strong>fr</strong>om the melt<strong>in</strong>g cryosphere has <strong>in</strong>creased recently(Velicogna, 2009). Both for recent decades <strong>and</strong> overthe longer term historical period, there is somevariability evident about the trend. In particular,there are periods dur<strong>in</strong>g the 20th century beforethe 1990s where the rate of sea-level rise may havereached the recent rate of 3 mm/year for some years,although the higher rates of sea-level rise weregenerally susta<strong>in</strong>ed for shorter periods than recently.For a very recent time period, the variability <strong>in</strong> sealevel <strong>in</strong>cludes a notable dip, start<strong>in</strong>g <strong>in</strong> 2010. It hasbeen suggested, based on observations <strong>fr</strong>om theGRACE satellite, that this observed recent dip <strong>in</strong>sea level may be related to the switch <strong>fr</strong>om El Niñoto La Niña conditions <strong>in</strong> the Pacific <strong>and</strong> associated<strong>change</strong>s <strong>in</strong> precipitation patterns <strong>and</strong> storage ofwater on l<strong>and</strong> (NASA, 2012).It is not yet clear <strong>fr</strong>om observations whether thegenerally <strong>in</strong>creased rate of sea-level rise observeds<strong>in</strong>ce the mid-1990s will cont<strong>in</strong>ue <strong>in</strong>to the future.The many observations of surg<strong>in</strong>g outlet glaciers <strong>and</strong>ice streams (which could lead to high future ratesof sea‐level rise) must be balanced by recent workshow<strong>in</strong>g that some outlet glaciers on the Greenl<strong>and</strong>ice sheet have now either stopped accelerat<strong>in</strong>g oreven slowed down (Jough<strong>in</strong> et al., 2010). Modell<strong>in</strong>gwork of <strong>in</strong>dividual ice sheet glaciers also shows thepotential for decadal <strong>and</strong> multi-decadal variability<strong>in</strong> glacier flow (Nick et al., 2009). There is sufficientevidence, based on recent observations, to beconcerned about the possibility for an <strong>in</strong>crease <strong>in</strong> therate of sea-level rise to 2100 beyond that projectedby the models used <strong>in</strong> the IPCC AR4 (IPCC, 2007)(see Figure 3.7). However, a greater underst<strong>and</strong><strong>in</strong>gof the potential for accelerated ice sheet dynamicalprocesses that could give rise to such rapid sea-levelrise is needed <strong>fr</strong>om improved physically-basedmodels <strong>and</strong> <strong>fr</strong>om appropriate palaeo observationsbefore more precise <strong>and</strong> reliable estimates of futuresea-level rise can be made.Figure 3.6 Change <strong>in</strong> global mean sea level <strong>fr</strong>om 1860 to 2009Sea level (mm)100500– 50– 100– 150– 200– 2501880 1900 1920 1940 1960 1980 2000GMSL _RECONS (mm) (Reconstruction, 1880 to 2009, yearly)GMSL_ALT (Satellite altimeter data, 1993 to 2009, yearly)Note:Global mean sea level <strong>fr</strong>om 1860 to 2009 as estimated <strong>fr</strong>om coastal <strong>and</strong> isl<strong>and</strong> sea-level data (1880–2009, blue, withuncerta<strong>in</strong>ty range) <strong>and</strong> <strong>fr</strong>om satellite altimeter data (1993–2009, grey).Source: Church <strong>and</strong> White, 2011.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012103


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsMap 3.4 Trend <strong>in</strong> relative sea level at selected <strong>Europe</strong>an tide gauge stations (1970–2010)-30°-20°-10°0°10°20°30°40°50°60°70°Trend <strong>in</strong> relative sealevel at selected<strong>Europe</strong>an tide-gaugestations, 1970–2010Trend, mm/year60°< – 4– 4 to – 2– 2 to – 150°– 1 to – 0.5– 0.5 to 0.50.5 to 150°1 to 22 to 4> 440°40°0 500 0° 1000 150010°km20°30°40°Note:These measured trends are not corrected for local l<strong>and</strong> movement. No attempt has been made to assess the validity of any<strong>in</strong>dividual fit, so results should not be treated as suitable for use <strong>in</strong> plann<strong>in</strong>g or policymak<strong>in</strong>g.Source: Woodworth <strong>and</strong> Player, 2003; Permanent Service for Mean Sea Level (PSMSL), 2012; 'Tide Gauge Data' (http://www.psmsl.org/products/trends).satellite measurements are not. In particular, thel<strong>and</strong>s around the northern Baltic Sea are still ris<strong>in</strong>gs<strong>in</strong>ce the last ice age due to the post-glacial rebound(Johansson et al., 2002).A significant recent step forward <strong>in</strong> project<strong>in</strong>gfuture sea levels is an improved underst<strong>and</strong><strong>in</strong>g ofthe contributions to recent sea-level rise. A recentstudy found good agreement over the four lastdecades between observed total global sea-levelrise <strong>and</strong> the sum of known contributions (Church<strong>and</strong> White, 2011). Table 3.1 summarises the ma<strong>in</strong>contributions based on that study. Accord<strong>in</strong>g to thistable, thermal expansion was likely to have beenthe most important contributor to sea-level risethroughout the whole period (1972–2008). Sea-levelrise has accelerated <strong>in</strong> the latter part of that period(1993–2008) when the melt<strong>in</strong>g of glaciers <strong>and</strong> icecaps became the most important source of sea-levelrise.ProjectionsCurrently there are two ma<strong>in</strong> approaches toproject<strong>in</strong>g future sea level: physically-based modelsthat represent the most important known processes,<strong>and</strong> statistical models that apply the observedrelationship between temperature or radiativeforc<strong>in</strong>g on the one h<strong>and</strong> <strong>and</strong> sea level on the otherh<strong>and</strong> <strong>in</strong> the past <strong>and</strong> extrapolate it to the future.Both approaches produce a spread of results, whichresults <strong>in</strong> large uncerta<strong>in</strong>ties around future sea-levelrise.The IPCC AR4 conta<strong>in</strong>ed several statements onfuture sea level. Most often quoted is the rangeof sea-level rise projected by physically-basedmodels for thermal expansion, glaciers <strong>and</strong> smallice caps, the mass balance of the Greenl<strong>and</strong> <strong>and</strong>West Antarctic ice sheet, <strong>and</strong> a term to representthe observed dynamic acceleration of the melt<strong>in</strong>g ofthe major ice sheets. The result is a global average<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012105


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsTable 3.1 Contributions to the sea-level budget s<strong>in</strong>ce 1972Component 1972 to 2008 1993 to 2008(mm/year)(mm/year)Total <strong>fr</strong>om tide gauges 1.83 ± 0.18b 2.61 ± 0.55Total <strong>fr</strong>om tide gauges <strong>and</strong> altimeter 2.10 ± 0.16 3.22 ± 0.411. Thermal expansion 0.80 ± 0.15 0.88 ± 0.332. Glaciers <strong>and</strong> ice caps 0.67 ± 0.03 0.99 ± 0.043. Greenl<strong>and</strong> ice sheet 0.12 ± 0.17 0.31 ± 0.174. Antarctic ice sheet 0.30 ± 0.20 0.43 ± 0.205. Terrestrial storage – 0.11 ± 0.19 – 0.08 ± 0.19Sum of components (1. + 2. + 3. + 4. + 5.) 1.78 ± 0.36 2.54 ± 0.46Source: Church <strong>and</strong> White, 2011.<strong>in</strong>crease of between 0.18 m <strong>and</strong> 0.59 m <strong>fr</strong>om the1980–1999 mean to the 2090–2099 mean. Therange depends on both the spread <strong>in</strong> future GHGemissions <strong>and</strong> uncerta<strong>in</strong>ty <strong>fr</strong>om computer models.The largest sea-level rise contribution was projectedto come <strong>fr</strong>om the thermal expansion (0.10 to 0.41 m),followed by melt<strong>in</strong>g of glaciers <strong>and</strong> ice caps (0.07to 0.17 m) <strong>and</strong> Greenl<strong>and</strong> ice sheet (0.01 to 0.12 m).The IPCC AR4 went further by <strong>in</strong>clud<strong>in</strong>g a simplesensitivity study, which allowed for future l<strong>in</strong>ear<strong>in</strong>creases <strong>in</strong> the dynamic ice sheet componentwith temperature. Whilst it is not clear that sucha relationship would be l<strong>in</strong>ear the calculationssuggest an additional 17 cm of rise could occurdur<strong>in</strong>g the 21st century. The report acknowledgedthat limitations <strong>in</strong> underst<strong>and</strong><strong>in</strong>g <strong>and</strong> modelsmeant that it was not possible to provide with anydegree of confidence either a highest plausible21st century rise or central estimate of rise for all ofthe component sea-level terms.S<strong>in</strong>ce publication of the IPCC AR4, further progresshas been made <strong>in</strong> underst<strong>and</strong><strong>in</strong>g <strong>and</strong> simulat<strong>in</strong>g sealevel<strong>change</strong>s (Church <strong>and</strong> White, 2011). However,global physical models are still particularly limited<strong>in</strong> their representation of ice sheet processes(Nicholls et al., 2010). S<strong>in</strong>ce current underst<strong>and</strong><strong>in</strong>gsuggests that the potential for 21st century sealevelrise significantly above the AR4 range wouldlargely result <strong>fr</strong>om potential <strong>in</strong>creases <strong>in</strong> the icesheet dynamical contributions, the lack of suitablephysically-based models is still a significanth<strong>in</strong>drance to mak<strong>in</strong>g reliable projections.Statistical models of sea-level rise are alsoavailable. These models use observed relationshipsbetween <strong>change</strong>s <strong>in</strong> sea level <strong>and</strong> either surfaceair temperature or radiative forc<strong>in</strong>g (Rahmstorf,2007; Vermeer <strong>and</strong> Rahmstorf, 2009). The statisticalmodels are then comb<strong>in</strong>ed with 21st centuryprojections of radiative forc<strong>in</strong>g or temperature<strong>and</strong> used for projection purposes. Typically, theyproduce larger sea-level rise projections than currentphysically-based models. Future projections basedon this approach have limitations because thebalance of contributions to sea-level rise dur<strong>in</strong>g thefuture may not be the same as the balance dur<strong>in</strong>gthe tun<strong>in</strong>g period of these statistical relationships(Lowe <strong>and</strong> Gregory, 2010). However, the differencesbetween the two modell<strong>in</strong>g approaches may also be<strong>in</strong>terpreted as <strong>in</strong>dicat<strong>in</strong>g the scale of processes notwell represented <strong>in</strong> physically-based models.In view of these limitations to future projectionspurely <strong>fr</strong>om models, some studies have comb<strong>in</strong>edunderst<strong>and</strong><strong>in</strong>g <strong>fr</strong>om current physical models withother str<strong>and</strong>s of evidence to provide <strong>in</strong>formation onpossible high-end sea-level rise amounts. Evidencest<strong>and</strong>s <strong>in</strong>clude maximum rates of sea-level rise at thelast <strong>in</strong>terglacial <strong>and</strong> plausible k<strong>in</strong>ematic constra<strong>in</strong>tson future ice flows. A synthesis of high-end sea-levelrise estimates based on all sources of <strong>in</strong>formationavailable is provided <strong>in</strong> Figure 3.7.The major conclusion <strong>fr</strong>om recent studies is thatit is still not possible to rule out GMSL <strong>in</strong>creasesdur<strong>in</strong>g the next century of up to approximately 2 m.However, the balance of evidence suggests <strong>in</strong>creasessignificantly <strong>in</strong> excess of 1 m are still consideredmuch less likely than lower rates of sea-level rise.This is consistent with the results of the ThamesEstuary 2100 study <strong>in</strong> the United K<strong>in</strong>gdom (Loweet al., 2009) <strong>and</strong> a recent study <strong>in</strong> the Netherl<strong>and</strong>s(Katsman et al., 2011). The latter, for example,comb<strong>in</strong>ed modell<strong>in</strong>g <strong>and</strong> expert judgement to derivea plausible high‐end global scenario of 21st century106 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsFigure 3.72.52.01.51.00.50A1B. Meehl et al. (2007)Note:Sea-level rise (m)A2. Meehl et al. (2007)Range of high-end estimates ofglobal sea-level rise publishedafter the IPCC AR4Rahmstorf et al. (2007)A1Fl. Meehl et. al (2007)Rohl<strong>in</strong>g et al. (2008)Vell<strong>in</strong>ga et al. (2008)Gr<strong>in</strong>sted et al. (2009)Pfeffer et al. (2008)Kopp et al. (2009)Vermeer <strong>and</strong> Rahmstorf (2009)Range of high-end global sea-level rise (metre percentury) estimates published after the IPCC FourthAssessment Report (AR4). AR4 results are shown forcomparison <strong>in</strong> the three left-most columns.Source: Nicholls et al., 2010.sea-level rise of 0.55 to 1.15 m. However, theyaga<strong>in</strong> concluded that although the probability oflarger <strong>in</strong>creases is small, it was still not possible torule out <strong>in</strong>creases approach<strong>in</strong>g around 2 m basedon palaeo‐climatic evidence (Rohl<strong>in</strong>g et al., 2008).In summary, the highest projections available <strong>in</strong>the scientific literature should not be treated aslikely <strong>in</strong>creases <strong>in</strong> 21st century sea level, but theyare useful for <strong>vulnerability</strong> tests aga<strong>in</strong>st flood<strong>in</strong>g<strong>in</strong> regions where there is a large risk aversionto flood<strong>in</strong>g, or the consequences of flood<strong>in</strong>g areparticularly catastrophic.Specific projections for regional seasFuture projections of the spatial pattern of sea-levelrise also rema<strong>in</strong> highly uncerta<strong>in</strong>. There was littleimprovement <strong>in</strong> reduc<strong>in</strong>g this uncerta<strong>in</strong>ty betweenthe IPCC Third <strong>and</strong> Fourth Assessment Report.Recent model improvements, however, may reducethis uncerta<strong>in</strong>ty <strong>in</strong> the future. One study producedestimates of sea-level rise around the UnitedK<strong>in</strong>gdom based on results <strong>fr</strong>om the IPCC AR4(Lowe et al., 2009). This study estimates absolutesea-level rise (which exclude <strong>change</strong>s <strong>in</strong> l<strong>and</strong> level)around the United K<strong>in</strong>gdom for the 21st century<strong>in</strong> the range of 12 cm (the lower bound of the Lowemission scenario) to about 76 cm (the upper boundof the High emission scenario). Larger rises couldresult <strong>fr</strong>om an additional ice sheet term, but thisis more uncerta<strong>in</strong>. Another study estimated theplausible high-end scenario for 21st century sea-levelrise on the North Sea coast of the Netherl<strong>and</strong>s <strong>in</strong> therange 40 to 105 cm (Katsman et al., 2011). Mak<strong>in</strong>gmulti-decadal regional projections for relativelysmall isolated <strong>and</strong> semi‐isolated bas<strong>in</strong>s, such asthe Mediterranean, is even more difficult thanfor the global ocean. One study made projectionsfor the Mediterranean Sea based on the output of12 global climate models for 3 emission scenarios(Marcos <strong>and</strong> Tsimplis, 2008). The results project anocean temperature-driven sea-level rise dur<strong>in</strong>g the21st century between 3 <strong>and</strong> 61 cm over the bas<strong>in</strong>,which needs to be comb<strong>in</strong>ed with a sal<strong>in</strong>ity-drivensea‐level <strong>change</strong> between – 22 <strong>and</strong> + 31 cm.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012107


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.2.3 Storm surgesRelevanceA storm surge is a temporary deviation <strong>in</strong> sea waterlevel <strong>fr</strong>om that of the astronomical tide caused by<strong>change</strong>s <strong>in</strong> air pressure <strong>and</strong> w<strong>in</strong>ds. Most concern iscentred on positive surge events where the surgeadds to the tidal level <strong>and</strong> <strong>in</strong>creases the risk ofcoastal flood<strong>in</strong>g by extreme water levels. Changes <strong>in</strong>the climatology of extreme water levels may result<strong>fr</strong>om <strong>change</strong>s <strong>in</strong> time mean local sea level (i.e. thelocal sea level relative to l<strong>and</strong> averaged over a year),<strong>change</strong>s <strong>in</strong> storm surge characteristics, or <strong>change</strong>s <strong>in</strong>tides. Here the focus will be on <strong>change</strong>s <strong>in</strong> the stormsurge characteristics, which are closely l<strong>in</strong>ked to<strong>change</strong>s <strong>in</strong> the characteristics of atmospheric storms,<strong>in</strong>clud<strong>in</strong>g the <strong>fr</strong>equency, track <strong>and</strong> <strong>in</strong>tensity of thestorms. The height of surges is also strongly affectedby regional <strong>and</strong> local-scale geographical features,such as the shape of the coastl<strong>in</strong>e. Typically, thehighest water levels are found on the ris<strong>in</strong>g limb ofthe tide (Horsburgh <strong>and</strong> Wilson, 2007). The biggestsurge events typically occur dur<strong>in</strong>g the w<strong>in</strong>termonths <strong>in</strong> <strong>Europe</strong>.The most obvious impact of extreme sea levels isflood<strong>in</strong>g (Horsburgh et al., 2010). The most wellknown coastal flood<strong>in</strong>g event <strong>in</strong> <strong>Europe</strong> <strong>in</strong> liv<strong>in</strong>gmemory occurred <strong>in</strong> 1953 due to a comb<strong>in</strong>ation of asevere storm surge <strong>and</strong> a high spr<strong>in</strong>g tide. The eventcaused <strong>in</strong> excess of 2 000 deaths <strong>in</strong> Belgium, theNetherl<strong>and</strong>s <strong>and</strong> the United K<strong>in</strong>gdom, <strong>and</strong> damagedor destroyed more than 40 000 build<strong>in</strong>gs. Currentlyaround 200 million people live <strong>in</strong> the coastal zone <strong>in</strong><strong>Europe</strong>, <strong>and</strong> <strong>in</strong>surable losses due to coastal flood<strong>in</strong>gare likely to rise dur<strong>in</strong>g the 21st century, at leastfor the North Sea region (Gaslikova et al., 2011). Inaddition to the direct impact of flood<strong>in</strong>g, <strong>in</strong>creases<strong>in</strong> the <strong>fr</strong>equency of storm surges can also exacerbateother coastal problems, such as erosion, salt water<strong>in</strong>trusion, migration or river flood<strong>in</strong>g.Past trendsProduc<strong>in</strong>g a clear picture of either past <strong>change</strong>sor future projections of storm surges for the entire<strong>Europe</strong>an coast l<strong>in</strong>e is a challeng<strong>in</strong>g task becauseof the impact of local topographical features on thesurge events. Whilst there are numerous studiesfor the North Sea coastl<strong>in</strong>e, fewer are available forthe Mediterranean <strong>and</strong> Baltic Seas, although thissituation is start<strong>in</strong>g to improve. The uncerta<strong>in</strong>ty<strong>in</strong> future projections of storm surges rema<strong>in</strong>s high<strong>and</strong> is ultimately l<strong>in</strong>ked to the uncerta<strong>in</strong>ty <strong>in</strong> futuremid‐latitude storm<strong>in</strong>ess <strong>change</strong>s (see Section 2.2).This is an area where current scientificunderst<strong>and</strong><strong>in</strong>g is advanc<strong>in</strong>g quickly, with someof the latest climate models simulat<strong>in</strong>g significantdifferences <strong>in</strong> mid-latitude storm development,evolution <strong>and</strong> movement (Scaife et al., 2011)compared to the generation of climate models used<strong>in</strong> current studies of future storm surges.The most comprehensive global studies of trends<strong>in</strong> extreme coastal sea level <strong>and</strong> storm surgesexam<strong>in</strong>ed trends <strong>fr</strong>om hourly tide gauge recordsat least for the period s<strong>in</strong>ce 1970, <strong>and</strong> for earlierperiods of the 20th century for some locations(Woodworth <strong>and</strong> Blackman, 2004; Menéndez <strong>and</strong>Woodworth, 2010). The results show that <strong>change</strong>s<strong>in</strong> extreme water levels tend to be dom<strong>in</strong>ated bythe <strong>change</strong> <strong>in</strong> the time mean local sea level. In thenorth‐west <strong>Europe</strong>an region there is clear evidenceof widespread <strong>in</strong>crease <strong>in</strong> sea level extremes s<strong>in</strong>ceKey messages: 3.2.3 Storm surges• Several large storm surge events have caused loss of life <strong>and</strong> damage to property <strong>in</strong> <strong>Europe</strong> dur<strong>in</strong>g thepast century. The most notable event occurred <strong>in</strong> 1953 when more than 2 000 people were killed, <strong>and</strong>there was massive damage to property around the coastl<strong>in</strong>e of the southern North Sea.• There is strong evidence that extreme coastal water levels have <strong>in</strong>creased at many locations around the<strong>Europe</strong>an coastl<strong>in</strong>e. However, this appears to be predom<strong>in</strong>antly due to <strong>in</strong>creases <strong>in</strong> time mean local sealevel at most locations rather than to <strong>change</strong>s <strong>in</strong> storm activity.• Large natural variability <strong>in</strong> extreme coastal sea levels makes detect<strong>in</strong>g long-term <strong>change</strong>s <strong>in</strong> trendsdifficult <strong>in</strong> the absence of good quality long observational records.• Multi-decadal projections of <strong>change</strong>s <strong>in</strong> storms <strong>and</strong> storm surges for the <strong>Europe</strong>an region currentlyhave high uncerta<strong>in</strong>ty. The most recent studies <strong>in</strong>dicate that <strong>in</strong>creases <strong>in</strong> extreme coastal waterlevels will likely be dom<strong>in</strong>ated by <strong>in</strong>creases <strong>in</strong> local relative mean sea level, with <strong>change</strong>s <strong>in</strong> themeteorologically‐driven surge component be<strong>in</strong>g less important at most locations.108 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systems1970, but much less evidence of such a trend overthe entire 20th century. When the contribution <strong>fr</strong>omtime mean local sea level <strong>change</strong>s <strong>and</strong> variations<strong>in</strong> tide are removed <strong>fr</strong>om the recent trends, therema<strong>in</strong><strong>in</strong>g signals due to <strong>change</strong>s <strong>in</strong> storm<strong>in</strong>ess aremuch smaller or even no longer detectable.Additional studies are available for some <strong>Europe</strong>ancoastal locations, but typically focus on more limitedspatial scales. A study that exam<strong>in</strong>ed the trend <strong>in</strong>water levels at 18 sites around the English Channelfound that the rates of <strong>change</strong> <strong>in</strong> extreme waterlevels were similar to the rates observed for meansea level <strong>change</strong> (Haigh et al., 2010). However, thestudy also noted sizeable variations <strong>in</strong> storm surgeheights, with the largest surge <strong>in</strong>tensity occurr<strong>in</strong>g <strong>in</strong>the late 1950s. This large natural variability makesit difficult to detect <strong>change</strong>s <strong>in</strong> the rate of <strong>change</strong> <strong>in</strong>water level extremes. A similar conclusion, that the<strong>change</strong> <strong>in</strong> annual maximum sea levels are <strong>in</strong>creas<strong>in</strong>gat a rate not significantly different <strong>fr</strong>om the observed<strong>in</strong>crease <strong>in</strong> mean sea level, was found <strong>in</strong> separateanalyses for Newlyn <strong>in</strong> the United K<strong>in</strong>gdom for theperiod 1915–2005 (Araújo <strong>and</strong> Pugh, 2008) <strong>and</strong> for73 tide gauges along the Atlantic <strong>and</strong> Mediterraneancoastl<strong>in</strong>es <strong>in</strong> southern <strong>Europe</strong> (Marcos et al., 2011).In contrast, significant <strong>in</strong>creases <strong>in</strong> storm surgeheight dur<strong>in</strong>g the 20th century were found alongthe Estonian coast of the Baltic Sea (Suursaar et al.,2009).We conclude that whilst there have been detectable<strong>change</strong>s <strong>in</strong> extreme water levels around the<strong>Europe</strong>an coastl<strong>in</strong>e, most of these are dom<strong>in</strong>atedby <strong>change</strong>s <strong>in</strong> time mean local sea level. Thecontribution <strong>fr</strong>om <strong>change</strong>s <strong>in</strong> storm<strong>in</strong>ess is currentlysmall <strong>in</strong> most <strong>Europe</strong>an locations <strong>and</strong> there is littleevidence that any trends can be separated <strong>fr</strong>omlong-period natural variability.ProjectionsFuture projections <strong>in</strong> storm surges can be madeus<strong>in</strong>g either dynamic or statistical modell<strong>in</strong>g ofstorm surge behaviour driven by the output ofgeneral circulation climate models (Lowe et al.,2010). Several climate modell<strong>in</strong>g studies haveprojected <strong>change</strong>s <strong>in</strong> storm surge height <strong>and</strong><strong>fr</strong>equency for the 21st century, mostly us<strong>in</strong>g theSRES A1B, A2 or B2 scenarios (see Section 1.5.1).The results critically depend on the simulated<strong>change</strong>s <strong>in</strong> mid-latitude storms; this topic rema<strong>in</strong>sa highly uncerta<strong>in</strong> <strong>and</strong> rapidly evolv<strong>in</strong>g scientificfield. The limited number of studies that separateout any long-term climate <strong>change</strong> signal <strong>fr</strong>ommulti‐decadal climate variability suggests that<strong>change</strong>s <strong>in</strong> atmospheric storm<strong>in</strong>ess are likely to beless important than <strong>in</strong>creases <strong>in</strong> mean local sea level.Early studies on future <strong>change</strong>s <strong>in</strong> surge magnitude<strong>in</strong> the North Sea region all identified certa<strong>in</strong> areaswhere <strong>in</strong>crease <strong>in</strong> surge magnitude were projected,but they did not agree over its magnitude or evenwhich regions will be affected (Lowe et al., 2001;Hulme et al., 2002; Lowe <strong>and</strong> Gregory, 2005; Wothet al., 2005; Beniston et al., 2007; Debernard <strong>and</strong>Røed, 2008). Furthermore, most of these studies havenot adequately considered that <strong>change</strong>s <strong>in</strong> various<strong>in</strong>dices of storm<strong>in</strong>ess over the <strong>Europe</strong>an regionexhibit decadal <strong>and</strong> multi-decadal oscillations (Sterlet al., 2009) (Jenk<strong>in</strong>s et al., 2007).Two recent studies addressed some of thedeficiencies <strong>in</strong> earlier studies by us<strong>in</strong>g ensemblesimulations of climate models to drive a surgemodel of the North Sea for the period 1950–2100.One study found no significant <strong>change</strong> <strong>in</strong> the 1 <strong>in</strong>10 000 year return values of storm surges along theDutch coastl<strong>in</strong>e dur<strong>in</strong>g the 21st century (Sterl et al.,2009). The other study projected small <strong>change</strong>s <strong>in</strong>storm surge heights for the 21st century aroundmuch of the UK coastl<strong>in</strong>e. Most of these <strong>change</strong>swere positive but they were typically much lessthan the expected <strong>in</strong>crease <strong>in</strong> time mean local sealevel over the same time period (Lowe et al., 2009).However, larger <strong>in</strong>creases <strong>in</strong> storm surge for thisregion dur<strong>in</strong>g the 21st century cannot yet be ruledout.A study on the Mediterranean region projected areduction <strong>in</strong> both the number <strong>and</strong> <strong>fr</strong>equency ofstorm surge events dur<strong>in</strong>g the 21st century (Marcoset al., 2011). A study on the Baltic Sea projected<strong>in</strong>creases <strong>in</strong> extreme sea levels over the 21st centurythat were larger than the time mean local sea-levelrise for some future scenarios simulated by someof the climate models used (Meier, 2006). Thelargest <strong>change</strong>s <strong>in</strong> storm surge height were <strong>in</strong> theGulf of F<strong>in</strong>l<strong>and</strong>, Gulf of Riga <strong>and</strong> the north-easternBothnian Bay. A study on storm surges aroundthe coast of Irel<strong>and</strong> projected an <strong>in</strong>crease <strong>in</strong> surgeevents on the west <strong>and</strong> east coasts but not along thesouthern coast (Wang et al., 2008). However, not allof the <strong>change</strong>s were found to have a high statisticalsignificance.At some locations, such as Hamburg, local <strong>change</strong>s<strong>in</strong> bathymetry caused by erosion, sedimentation <strong>and</strong>waterworks can have a much larger impact thanclimate <strong>change</strong> (von Storch <strong>and</strong> Woth, 2008). F<strong>in</strong>ally,recent work has shown that sea-level rise may also<strong>change</strong> extreme water levels by alter<strong>in</strong>g the tidalrange (Picker<strong>in</strong>g et al., 2012).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012109


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.2.4 Coastal erosionRelevanceCoastal erosion is the process of wear<strong>in</strong>g awaymaterial <strong>fr</strong>om a coastal profile due to imbalance <strong>in</strong>the supply <strong>and</strong> export of material <strong>fr</strong>om a certa<strong>in</strong>section. It takes place <strong>in</strong> the form of scour<strong>in</strong>g <strong>in</strong>the foot of the cliffs or dunes or at the sub-tidalforeshore. Coastal erosion takes place ma<strong>in</strong>ly dur<strong>in</strong>gstrong w<strong>in</strong>ds, high waves <strong>and</strong> high tides <strong>and</strong> stormsurge conditions, <strong>and</strong> results <strong>in</strong> coastl<strong>in</strong>e retreat <strong>and</strong>loss of l<strong>and</strong> (Mangor, 2001).More than 5 million people <strong>in</strong> <strong>Europe</strong> are liv<strong>in</strong>g<strong>in</strong> areas at risk <strong>fr</strong>om coastal erosion <strong>and</strong> mar<strong>in</strong>eflood<strong>in</strong>g (def<strong>in</strong>ed as be<strong>in</strong>g below 5 m elevation,but not further than 1 km distance <strong>fr</strong>om thecoastl<strong>in</strong>e) ( 42 ). The <strong>in</strong>creas<strong>in</strong>g human use of thecoastal zone has turned coastal erosion <strong>fr</strong>om anatural phenomenon <strong>in</strong>to a problem of grow<strong>in</strong>gimportance for societies. Adverse <strong>impacts</strong> of coastalerosion most <strong>fr</strong>equently encountered <strong>in</strong> <strong>Europe</strong> canbe grouped <strong>in</strong> three categories: 1) coastal flood<strong>in</strong>g asa result of complete dune erosion, 2) underm<strong>in</strong><strong>in</strong>gof sea defences associated with foreshore erosion<strong>and</strong> coastal squeeze, <strong>and</strong> 3) retreat<strong>in</strong>g cliffs, beaches<strong>and</strong> dunes caus<strong>in</strong>g loss of l<strong>and</strong>s of economic <strong>and</strong>ecological value (Conscience, 2010).Coastal erosion <strong>in</strong> <strong>Europe</strong> causes significanteconomic loss, ecological damage <strong>and</strong> societalproblems. Loss of property, residential <strong>and</strong>commercial build<strong>in</strong>gs, <strong>in</strong><strong>fr</strong>astructure, beach width,<strong>and</strong> valuable coastal habitat causes millions of eurosworth of economic damage each year <strong>and</strong> presentssignificant management issues. At the same timeprotection is expensive. For example, <strong>in</strong> France someEUR 20 million is spent each year on mitigationmeasures <strong>and</strong> <strong>in</strong> the Netherl<strong>and</strong>s the annualbudget for s<strong>and</strong> nourishment amounts to someEUR 41 million (March<strong>and</strong>, 2010).Past trendsMany <strong>Europe</strong>an coasts are endangered because theyare be<strong>in</strong>g affected by coastal erosion. Accord<strong>in</strong>gto the Eurosion Project ( 43 ) (Eurosion, 2004),about 20 000 km of coasts faced serious <strong>impacts</strong><strong>in</strong> 2004. Most of the impact zones (15 100 km) areactively retreat<strong>in</strong>g, some of them <strong>in</strong> spite of coastalprotection works (2 900 km). In addition, another4 700 km have become artificially stabilised.Figure 3.8 shows the pattern of erosion <strong>and</strong> accretion<strong>in</strong> <strong>Europe</strong>, <strong>in</strong>clud<strong>in</strong>g statistics for all <strong>Europe</strong>anseas. The largest percentage of erod<strong>in</strong>g coasts isfound along the Mediterranean <strong>and</strong> North Seas. TheBaltic Sea is the only sea where the proportion ofaccumulative coasts is larger than that of erod<strong>in</strong>gcoasts, mostly due to the isostatic l<strong>and</strong> uplift <strong>in</strong> thenorthern parts of the Baltic. In total, ca. 15 % of the<strong>Europe</strong>an coastl<strong>in</strong>e was erod<strong>in</strong>g, <strong>and</strong> about the samelength was accret<strong>in</strong>g (almost exclusively <strong>in</strong> northern<strong>Europe</strong>); 40 % was stable, <strong>and</strong> data was miss<strong>in</strong>g forthe rema<strong>in</strong><strong>in</strong>g 30 %. Other climate <strong>change</strong> driversthat may exacerbate erosion rates are <strong>in</strong>creasedstorm<strong>in</strong>ess, higher waves <strong>and</strong> <strong>change</strong>s <strong>in</strong> prevalentw<strong>in</strong>d <strong>and</strong> wave directions.Key messages: 3.2.4 Coastal erosion• Coastal erosion <strong>in</strong> <strong>Europe</strong> causes significant economic loss, ecological damage <strong>and</strong> societal problems.About one quarter of the <strong>Europe</strong>an coastl<strong>in</strong>e for which data is available is currently erod<strong>in</strong>g.• Projections for coastal erosion are not available. Future climate <strong>change</strong>, <strong>in</strong> particular ris<strong>in</strong>g sea levels, isexpected to accelerate coastal erosion.( 42 ) Calculation by EEA, based on the 2001 population census.( 43 ) See http://www.eurosion.org.110 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsFigure 3.8Coastl<strong>in</strong>e dynamics <strong>in</strong> <strong>Europe</strong>-30°-20°-10°0°10° 20°30°40° 50° 60°%10060°9060°807050°6050°504040°40°302030°Canary Is. -30°30°0°Coastal erosion patterns <strong>in</strong> <strong>Europe</strong> (2004)Status of coastl<strong>in</strong>eAccretionErosionStableAzores Is.40°Madeira Is. 0 500 1000 1500 Km 010°20°30°No dataOutside data coverage30°10NorthSeaMediterraneanSeaBlackSeaBalticSeaAtlanticOceanNo data Accretion Stable ErosionSource: Deduce project ( 44 ) (http://www.deduce.eu/IFS/IFS26.pdf).In some regions <strong>in</strong> <strong>Europe</strong>, coastal erosion canreach up to 2 m per year. The average annual rateof erosion at the Holderness Coast <strong>in</strong> north-eastEngl<strong>and</strong> is around 2 m per year (Sistermans <strong>and</strong>Nieuwenhuis, 2004). Erosion rates of more than 2 mper year dur<strong>in</strong>g the period 1991–2001 were observedat Forte Novo <strong>in</strong> the central Algarve <strong>in</strong> Portugal(Andrade et al., 2001).ProjectionsCoastal erosion will be <strong>in</strong>creased by climate <strong>change</strong>.Sea-level rise is one of the most important drivers foraccelerated erosion because it implies an <strong>in</strong>crease <strong>in</strong>sediment dem<strong>and</strong>, as retreat<strong>in</strong>g coastl<strong>in</strong>e <strong>and</strong> highersea levels will raise extreme water levels, allow wavesto break nearer to the coast <strong>and</strong> transmit more waveenergy to the shorel<strong>in</strong>e. Other climate <strong>change</strong> driversthat may exacerbate erosion rates are <strong>in</strong>creasedstorm<strong>in</strong>ess, higher waves <strong>and</strong> <strong>change</strong>s <strong>in</strong> prevalentw<strong>in</strong>d <strong>and</strong> waves directions (March<strong>and</strong>, 2010).( 44 ) See http://www.deduce.eu.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012111


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.3 Freshwater quantity <strong>and</strong> quality3.3.1 OverviewWater is essential to life <strong>and</strong> is an <strong>in</strong>dispensableresource for ecosystems <strong>and</strong> for nearly all humanactivities. It is <strong>in</strong>tricately l<strong>in</strong>ked with climate suchthat any alteration <strong>in</strong> the climate system will <strong>in</strong>duce<strong>change</strong>s <strong>in</strong> the hydrological cycle. Consequently,the spatial <strong>and</strong> temporal distribution of <strong>fr</strong>eshwaterresources <strong>and</strong> those socio‐economic activitiesdependent upon water are affected by climatevariability <strong>and</strong> climate <strong>change</strong>.There is grow<strong>in</strong>g evidence that climatic <strong>change</strong>s<strong>in</strong> recent decades have already affected the globalhydrological cycle, such as by <strong>change</strong>s <strong>in</strong> seasonalriver flow <strong>and</strong> <strong>in</strong>creas<strong>in</strong>g severity <strong>and</strong> <strong>fr</strong>equency ofboth floods <strong>and</strong> droughts <strong>in</strong> some regions. However,the detection of significant long-term trends <strong>in</strong>hydrological variables is generally difficult dueto substantial <strong>in</strong>terannual <strong>and</strong> decadal variability.Furthermore, the attribution of observed <strong>change</strong>sis complicated because of modifications to naturalwater flow aris<strong>in</strong>g <strong>fr</strong>om water abstractions <strong>and</strong> l<strong>and</strong>use<strong>change</strong>.Indicator selectionThis section presents <strong>in</strong>formation on the follow<strong>in</strong>g<strong>in</strong>dicators:• River flow: This <strong>in</strong>dicator monitors <strong>change</strong>s <strong>in</strong>annual <strong>and</strong> seasonal river flow, which is centralfor water availability to households, <strong>in</strong>dustry<strong>and</strong> agriculture.• River floods: This <strong>in</strong>dicator monitors <strong>change</strong>s <strong>in</strong>river floods events, which are among the mostcostly weather disasters <strong>in</strong> <strong>Europe</strong>.• River flow droughts: This <strong>in</strong>dicator monitors<strong>change</strong>s <strong>in</strong> low river flow, which can havesignificant negative <strong>impacts</strong> on households,<strong>in</strong>dustry, navigation, agriculture <strong>and</strong> ecosystems.• Water temperature of rivers <strong>and</strong> lakes: Watertemperature is one of the central parametersthat determ<strong>in</strong>e the overall health of aquaticecosystems because aquatic organisms havea specific range of temperatures that they cantolerate.• Lake <strong>and</strong> river ice: This <strong>in</strong>dicator is relevant for<strong>fr</strong>eshwater ecosystems <strong>and</strong> for transport.The conclud<strong>in</strong>g subsection presents selected<strong>in</strong>formation on the <strong>impacts</strong> of past <strong>and</strong> projected<strong>change</strong>s <strong>in</strong> these <strong>in</strong>dicators for <strong>fr</strong>eshwater ecosystems<strong>and</strong> water quality. This <strong>in</strong>formation is not presented<strong>in</strong> the <strong>in</strong>dicator format because the <strong>impacts</strong> foreseenfor different aquatic species <strong>and</strong> ecosystems are sodiverse that the message cannot be conveyed <strong>in</strong> one<strong>in</strong>dicator.Further <strong>in</strong>formation on the health <strong>and</strong> economicrisks of floods <strong>and</strong> droughts is presented <strong>in</strong>Section 4.4 <strong>and</strong> <strong>in</strong> Chapter 5.Key messages: 3.3 Freshwater quantity <strong>and</strong> quality• <strong>Climate</strong> <strong>change</strong> has already affected river flow but other factors also have a strong <strong>in</strong>fluence.• In general, river flows have <strong>in</strong>creased <strong>in</strong> w<strong>in</strong>ter <strong>and</strong> decreased <strong>in</strong> summer, but with substantial regional<strong>and</strong> seasonal variation.• The impact of river flow droughts is currently largest <strong>in</strong> southern <strong>and</strong> south-eastern <strong>Europe</strong>. These<strong>impacts</strong> are projected to further <strong>in</strong>crease with prolonged <strong>and</strong> more extreme droughts.• <strong>Climate</strong> <strong>change</strong> has <strong>in</strong>creased water temperatures of rivers <strong>and</strong> lakes, <strong>and</strong> has decreased ice cover.• Changes <strong>in</strong> stream flow <strong>and</strong> water temperature have important <strong>impacts</strong> on water quality <strong>and</strong> on<strong>fr</strong>eshwater ecosystems.112 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsData quality <strong>and</strong> data needsDetailed data on water quantity is often difficult toassess, <strong>and</strong> homogeneous time series are generallyshorter than those for meteorological data. It may,therefore, require substantially more time beforestatistically significant <strong>change</strong>s <strong>in</strong> hydrologicalvariables can be observed than for meteorologicalvariables, especially with respect to extreme events(floods <strong>and</strong> droughts). Quantitative projections of<strong>change</strong>s <strong>in</strong> precipitation <strong>and</strong> river flows at the bas<strong>in</strong>scale rema<strong>in</strong> highly uncerta<strong>in</strong> due to the limitations ofclimate models <strong>and</strong> to scal<strong>in</strong>g issues between climate<strong>and</strong> hydrological models.The ma<strong>in</strong> data sources for <strong>Europe</strong>an-wide studies ofextreme hydrological events <strong>and</strong> their <strong>change</strong>s areglobal databases for natural disasters. These <strong>in</strong>cludegeneral impact-oriented disaster databases such asEM-DAT ( 45 ) ma<strong>in</strong>ta<strong>in</strong>ed by the Centre for Researchon the Epidemiology of Disasters (CRED) <strong>and</strong> theNatCatService ( 46 ) ma<strong>in</strong>ta<strong>in</strong>ed by Munich RE, as wellas specific mostly event-oriented databases, suchas the Dartmouth Flood Observatory ( 47 ). Some ofthe limitations of these databases <strong>in</strong>cluded the useof thresholds for <strong>in</strong>clusion of an event, which mayexclude smaller events with a significant regionalimpact, <strong>change</strong>s over time <strong>in</strong> the comprehensivenessof the coverage (see below), <strong>and</strong> privacy issuesrelated to detailed data collected by the <strong>in</strong>surance<strong>in</strong>dustry. Improvements of these datasets are planned<strong>in</strong> com<strong>in</strong>g years. The available data is currentlyevaluated, for example <strong>in</strong> the ongo<strong>in</strong>g emBRACEproject ( 48 ). A more detailed <strong>and</strong> comprehensiveevent-oriented database that also <strong>in</strong>cludes eventswithout any (major) damages would be neededto separate the effect of climate <strong>change</strong> <strong>fr</strong>omsocio‐economic <strong>change</strong>s.The report<strong>in</strong>g of flood <strong>and</strong> drought events hasgenerally improved dur<strong>in</strong>g the past few decades as aresult of improvements <strong>in</strong> data collection <strong>and</strong> flows of<strong>in</strong>formation. As a result, it is often difficult to identifywhether an <strong>in</strong>crease <strong>in</strong> reported flood events (or their<strong>impacts</strong>) over time is due mostly to improvements <strong>in</strong>data collection or to actual <strong>change</strong>s <strong>in</strong> these events.Furthermore, river flood records are usually sourced<strong>fr</strong>om different <strong>in</strong>stitutions <strong>and</strong> often collected us<strong>in</strong>ga wide range of different assessment methods <strong>and</strong>rationales, which may have <strong>change</strong>d over time. Thismultitude of sources limits the comparability of keyattributes associated with such events (e.g. economiclosses, human casualties) across space <strong>and</strong> time. Fora more detailed description of the EM-DAT data, seeSection 4.4 on Human Health.As part of the prelim<strong>in</strong>ary flood risk assessmentfor the <strong>Europe</strong>an Directive on the assessment<strong>and</strong> management of flood risks (2007/60/EC) ( 49 ),EU Member States will give an overview ofsignificant past floods. In addition, a <strong>Europe</strong>anflood impact database could br<strong>in</strong>g together publiclyavailable <strong>in</strong>ventories of flood events. At thenational/regional level, such an <strong>in</strong>ventory wouldbe particularly useful to provide accurate data <strong>and</strong>assessments which would serve as a basis for disasterprevention. At the <strong>Europe</strong>an level, these <strong>in</strong>ventoriescould assist <strong>in</strong> track<strong>in</strong>g the trends <strong>in</strong> flood-disasterlosses, <strong>and</strong> <strong>in</strong> mitigation programmes monitor<strong>in</strong>g <strong>and</strong>obta<strong>in</strong><strong>in</strong>g a clearer picture of the l<strong>in</strong>kages betweenclimate <strong>change</strong> <strong>and</strong> floods <strong>and</strong> flood losses.Reliable <strong>in</strong>formation on the extent <strong>and</strong> <strong>impacts</strong> ofwater scarcity <strong>and</strong> droughts (WSD) is <strong>in</strong>dispensablefor decision-mak<strong>in</strong>g at all levels. The <strong>Europe</strong>anCommission has strengthened its activitiesthrough the 2007 Communication on WSD <strong>and</strong>several studies. The EEA reports 'Water resourcesacross <strong>Europe</strong> — con<strong>fr</strong>ont<strong>in</strong>g water scarcity <strong>and</strong>drought' (EEA, 2009a), 'Regional climate <strong>change</strong><strong>and</strong> adaptation – The Alps fac<strong>in</strong>g the challengeof chang<strong>in</strong>g water resources' (EEA, 2009b), <strong>and</strong>'Towards efficient use of water resources <strong>in</strong><strong>Europe</strong>' (EEA, 2012) <strong>in</strong>clude an overview of wateravailability, water abstraction <strong>and</strong> water scarcity <strong>in</strong><strong>Europe</strong> or more specific for the Alp<strong>in</strong>e region <strong>and</strong>discuss management options. The water exploitation<strong>in</strong>dex is currently be<strong>in</strong>g revised to be calculated onthe level of river bas<strong>in</strong>s <strong>in</strong>stead of the adm<strong>in</strong>istrativeboundaries of countries. The Jo<strong>in</strong>t Research Centre(JRC) of the <strong>Europe</strong>an Commission has developeda <strong>Europe</strong>an Drought Observatory (EDO ( 50 )) fordrought forecast<strong>in</strong>g, assessment <strong>and</strong> monitor<strong>in</strong>g.However, despite several activities, there is nosystematic, comprehensive record of WSD events<strong>in</strong> <strong>Europe</strong> describ<strong>in</strong>g their duration, impact <strong>and</strong>severity, other than meteorological time series forprecipitation.More detailed <strong>in</strong>formation is available for some riversas a result of targeted research projects (Görgen <strong>and</strong>Beersma, 2010; ICPR, 2011; Wechsung, 2011).( 45 ) See http://www.emdat.be.( 46 ) See http://www.munichre.com/geo.( 47 ) See http://floodobservatory.colorado.edu.( 48 ) See http://embrace-eu.org.( 49 ) See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2007:288:0027:0034:EN:PDF.( 50 ) See http://edo.jrc.ec.europa.eu/edov2/php/<strong>in</strong>dex.php?id=1000.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012113


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.3.2 River flowRelevanceRiver flow is a measure of overall <strong>fr</strong>esh wateravailability <strong>in</strong> a river bas<strong>in</strong>. Variations <strong>in</strong> riverflow are determ<strong>in</strong>ed ma<strong>in</strong>ly by the seasonalityof precipitation <strong>and</strong> temperature, as well as bycatchment characteristics such as geology, soil<strong>and</strong> l<strong>and</strong> cover. Changes <strong>in</strong> temperature <strong>and</strong>precipitation patterns due to climate <strong>change</strong>modify the annual water budget of river bas<strong>in</strong>s aswell as the tim<strong>in</strong>g <strong>and</strong> seasonality of river flows.The consequent <strong>change</strong>s <strong>in</strong> water availabilitymay adversely affect ecosystems <strong>and</strong> severalsocio‐economic sectors <strong>in</strong>clud<strong>in</strong>g abstractionfor dr<strong>in</strong>k<strong>in</strong>g water, agriculture, <strong>in</strong>dustry, energyproduction <strong>and</strong> navigation. Extreme dry periodswith low river flow events can have considerableeconomic, societal <strong>and</strong> environmental <strong>impacts</strong>(see Section 3.3.4).Past trendsHuman <strong>in</strong>terventions <strong>in</strong> catchments <strong>in</strong>clud<strong>in</strong>gwater abstractions, river regulation <strong>and</strong> l<strong>and</strong>-use<strong>change</strong> have considerably altered river flow regimes<strong>in</strong> large parts of <strong>Europe</strong>, mak<strong>in</strong>g it difficult todiscern any climate-driven <strong>change</strong>s <strong>in</strong> river flow todate. However, a comprehensive recent study has<strong>in</strong>vestigated time series of river flows <strong>in</strong> more than400 small catchments with near-natural flow regimesto overcome these limitations (Stahl et al., 2010).The study f<strong>in</strong>ds <strong>in</strong>dicate that annual river flow hasgenerally decreased over the period 1962–2004 <strong>in</strong>southern <strong>and</strong> eastern <strong>Europe</strong>, <strong>and</strong> it has <strong>in</strong>creasedelsewhere. These f<strong>in</strong>d<strong>in</strong>gs are broadly consistentwith results <strong>fr</strong>om earlier studies (e.g. (Milly et al.,2005). Seasonal <strong>change</strong>s are also apparent, with adecreased flow <strong>in</strong> summer months <strong>and</strong> an <strong>in</strong>crease<strong>in</strong> w<strong>in</strong>ter months <strong>in</strong> most catchments (see Map 3.5).Similar results were found <strong>in</strong> national <strong>and</strong> regionalstudies (Birsan et al., 2005; Wilson et al., 2010).The magnitude of the observed seasonal <strong>change</strong>sclearly raises concerns for water resourcemanagement both today <strong>and</strong> <strong>in</strong> future decades.To date, however, despite the evidence of monthly<strong>change</strong>s to flow, there is no conclusive evidence thatlow river flows have generally become more severeor <strong>fr</strong>equent <strong>in</strong> <strong>Europe</strong> dur<strong>in</strong>g recent decades (Stahlet al., 2008).ProjectionsAnnual river flow is projected to decrease <strong>in</strong>southern <strong>and</strong> south-eastern <strong>Europe</strong> <strong>and</strong> <strong>in</strong>crease<strong>in</strong> northern <strong>and</strong> north-eastern <strong>Europe</strong> (Milly et al.,2005; Alcamo et al., 2007; Dankers <strong>and</strong> Feyen, 2009).Strong <strong>change</strong>s are projected <strong>in</strong> the seasonality o<strong>fr</strong>iver flows, with large differences across <strong>Europe</strong>.W<strong>in</strong>ter <strong>and</strong> spr<strong>in</strong>g river flows are projected tofurther <strong>in</strong>crease <strong>in</strong> most parts of <strong>Europe</strong>, exceptfor the most southern <strong>and</strong> south-eastern regions,which would exacerbate the observed trend. Insummer <strong>and</strong> autumn, river flows are projected todecrease <strong>in</strong> most of <strong>Europe</strong>, except for northern <strong>and</strong>north‐eastern regions where they are projected to<strong>in</strong>crease (Map 3.6) (Rojas et al., 2012). Such a trendcannot be seen that clear <strong>in</strong> the observed monthlystream flow for the period 1962–2004 (Map 3.5).In snow-dom<strong>in</strong>ated regions, such as the Alps,Sc<strong>and</strong><strong>in</strong>avia <strong>and</strong> parts of the Baltic, the fall <strong>in</strong> w<strong>in</strong>terretention as snow, earlier snowmelt <strong>and</strong> reducedsummer precipitation is projected to <strong>in</strong>crease riverflows <strong>in</strong> w<strong>in</strong>ter <strong>and</strong> reduce them <strong>in</strong> summer, whendem<strong>and</strong> is typically highest (Beniston et al., 2011;BAFU, 2012). For most parts of <strong>Europe</strong> the peak ofthe average daily flow for 2071–2100 is projected tooccur earlier <strong>in</strong> the year compared to observations.For northern <strong>Europe</strong> a slight <strong>in</strong>crease of the peakof average daily flow is projected comparedto a decrease <strong>in</strong> the other stations evaluated(see Figure 3.9).Key messages: 3.3.2 River flow• Long-term trends <strong>in</strong> river flows due to climate <strong>change</strong> are difficult to detect due to substantial<strong>in</strong>terannual <strong>and</strong> decadal variability as well as modifications to natural water flows aris<strong>in</strong>g <strong>fr</strong>om waterabstractions, man‐made reservoirs <strong>and</strong> l<strong>and</strong>-use <strong>change</strong>s. Nevertheless, <strong>in</strong>creased river flows dur<strong>in</strong>gw<strong>in</strong>ter <strong>and</strong> lower river flows dur<strong>in</strong>g summer have been recorded s<strong>in</strong>ce the 1960s <strong>in</strong> large parts of<strong>Europe</strong>.• <strong>Climate</strong> <strong>change</strong> is projected to result <strong>in</strong> strong <strong>change</strong>s <strong>in</strong> the seasonality of river flows across <strong>Europe</strong>.Summer flows are projected to decrease <strong>in</strong> most of <strong>Europe</strong>, <strong>in</strong>clud<strong>in</strong>g <strong>in</strong> regions where annual flows areprojected to <strong>in</strong>crease.114 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsMap 3.5 Trends <strong>in</strong> monthly stream flow for the period 1962–2004Note:Red colours mark decreases <strong>in</strong> stream flow whereas blue colours mark <strong>in</strong>creases <strong>in</strong> stream flow.Source: Stahl et al., 2010. Repr<strong>in</strong>ted with permission.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012115


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsMap 3.6Projected <strong>change</strong> <strong>in</strong> average annual <strong>and</strong> seasonal river flowNote:Projected <strong>change</strong> <strong>in</strong> mean annual <strong>and</strong> seasonal river flow between the climate <strong>change</strong> scenario (SRES A1B, 2071–2100) <strong>and</strong>the control period (1961–1990). Simulations with LISFLOOD based on an ensemble of 11 RCMs.Source: Rojas et al., 2012.116 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsFigure 3.9Projected <strong>change</strong> <strong>in</strong> daily average river flow for four riversm 3 /sRhone (Chancy)m 3 /sDanube (Ceatal Izmail)1 0009008007006005004003002001000090 180 270 360Calender day12 0008 0004 000090 180 270 360Calender daym 3 /s1 400Indalsaelven (Bergeforens)m 3 /s800Guadiana (Pulo do Lobo)1 2007001 0006008006004002005004003002001000090 180 270 360Calender day0090 180 270 360Calender dayRiver flow <strong>in</strong> reference period 1961–1990Projected river flow 2071–2100Note: Simulations with LISFLOOD driven by HIRHAM – HadAM3H/HadCM3 based on IPCC scenario A2.Source: Luc Feyen, 2009 (unpublished results). © JRC.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012117


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.3.3 River floodsRelevanceThere are many different types of floods. They canbe dist<strong>in</strong>guished based on the source of flood<strong>in</strong>g(e.g. rivers <strong>and</strong> lakes, urban storm water <strong>and</strong>comb<strong>in</strong>ed sewage overflow, or sea water), themechanism of flood<strong>in</strong>g (e.g. natural exceedance,defence or <strong>in</strong><strong>fr</strong>astructural failure, or blockage) <strong>and</strong>other characteristics (e.g. flash flood<strong>in</strong>g, snowmeltflood, or debris flow).River floods are a common natural disaster <strong>in</strong><strong>Europe</strong>, <strong>and</strong> — along with storms — the mostimportant natural hazard <strong>in</strong> <strong>Europe</strong> <strong>in</strong> termsof economic damage. They are ma<strong>in</strong>ly causedby prolonged or heavy precipitation events orsnowmelt. River floods can result <strong>in</strong> huge economiclosses due to damage to <strong>in</strong><strong>fr</strong>astructure, property <strong>and</strong>agricultural l<strong>and</strong>, <strong>and</strong> <strong>in</strong>direct losses <strong>in</strong> or beyondthe flooded areas, such as production losses causedby damaged transport or energy <strong>in</strong><strong>fr</strong>astructure.They can also lead to loss of life, especially <strong>in</strong> thecase of flash floods, <strong>and</strong> displacement of people,<strong>and</strong> can have adverse effects on human health, theenvironment <strong>and</strong> cultural heritage.Past trendsMore than 325 major river floods (<strong>in</strong>clud<strong>in</strong>g flashfloods) have been reported for <strong>Europe</strong> s<strong>in</strong>ce 1980, ofwhich more than 200 have been reported s<strong>in</strong>ce 2000(EM-DAT, 2012). The rise <strong>in</strong> the reported numberof flood events <strong>in</strong> the recent decade results ma<strong>in</strong>ly<strong>fr</strong>om better report<strong>in</strong>g <strong>and</strong> <strong>fr</strong>om l<strong>and</strong>-use <strong>change</strong>s.Floods have resulted <strong>in</strong> more than 2 500 fatalities<strong>and</strong> have affected more than 5.5 million people<strong>in</strong> the period <strong>fr</strong>om 1980 to 2011. Direct economiclosses over this same period amounted to more thanEUR 90 billion (based on 2009 values).Map 3.7 shows the occurrence of flood events <strong>in</strong><strong>Europe</strong> <strong>fr</strong>om 1998–2009. This picture is <strong>in</strong>completebecause events with small spatial extent <strong>and</strong>/orimpact are not <strong>in</strong>cluded. Nevertheless, it becomesclear that large areas throughout <strong>Europe</strong> have beenaffected by flood<strong>in</strong>g over the last decade, many ofthem even multiple times. Flood losses <strong>in</strong> <strong>Europe</strong>have <strong>in</strong>creased substantially over recent decades butthis trend is primarily attributable to socio‐economicfactors, such as <strong>in</strong>creas<strong>in</strong>g wealth located <strong>in</strong> floodzones. The <strong>in</strong>fluence of anthropogenic climate<strong>change</strong> rema<strong>in</strong>s <strong>in</strong>conclusive (Barredo, 2009).Significant trends <strong>in</strong> river <strong>in</strong>undations have beenidentified <strong>in</strong> some regional <strong>and</strong> national studies. Forexample, significant <strong>in</strong>creases <strong>in</strong> flood <strong>in</strong>tensitieshave been identified between 1951 <strong>and</strong> 2002 <strong>in</strong>western, southern <strong>and</strong> central Germany (Petrow <strong>and</strong>Merz, 2009) as well as <strong>in</strong> upl<strong>and</strong> catchments <strong>in</strong> thenorthern <strong>and</strong> western United K<strong>in</strong>gdom (Hannaford<strong>and</strong> Marsh, 2008). A new analysis of the strong UKfloods of 2000 suggests that anthropogenic climate<strong>change</strong> was a contribut<strong>in</strong>g factor (Pall et al., 2011).In the Alps (Renard et al., 2008) <strong>and</strong> Nordic region(Wilson et al., 2010), snowmelt floods have occurredearlier because of warmer w<strong>in</strong>ters. In contrast, noconclusive evidence was found <strong>in</strong> an analysis offlood trends <strong>in</strong> Austria (Villar<strong>in</strong>i et al., 2012), <strong>and</strong> an<strong>in</strong>creas<strong>in</strong>g flood trend <strong>in</strong> Catalonia is attributed tosocio‐economic factors (Barnolas <strong>and</strong> Llasat, 2007).ProjectionsChanges <strong>in</strong> future flood hazard <strong>in</strong> <strong>Europe</strong> havebeen simulated by a hydrological model drivenby an ensemble of climate simulations (Dankers<strong>and</strong> Feyen, 2009; Flörke et al., 2011). An <strong>in</strong>creas<strong>in</strong>gflood hazard is consistently projected for severalof <strong>Europe</strong>'s major rivers across climate models <strong>and</strong>emissions scenarios (Feyen et al., 2011).Map 3.8 shows the <strong>change</strong> <strong>in</strong> the level of aone‐<strong>in</strong>‐a‐century flood between the referenceKey messages: 3.3.3 River floods• More than 325 major river floods have been reported for <strong>Europe</strong> s<strong>in</strong>ce 1980, of which more than 200have been reported s<strong>in</strong>ce 2000.• The rise <strong>in</strong> the reported number of flood events over recent decades results ma<strong>in</strong>ly <strong>fr</strong>om betterreport<strong>in</strong>g <strong>and</strong> <strong>fr</strong>om l<strong>and</strong>-use <strong>change</strong>s.• Global warm<strong>in</strong>g is projected to <strong>in</strong>tensify the hydrological cycle <strong>and</strong> <strong>in</strong>crease the occurrence <strong>and</strong><strong>fr</strong>equency of flood events <strong>in</strong> large parts of <strong>Europe</strong>.• Flash floods <strong>and</strong> pluvial floods, which are triggered by local <strong>in</strong>tense precipitation events, are likely tobecome more <strong>fr</strong>equent throughout <strong>Europe</strong>. In regions with projected reduced snow accumulation dur<strong>in</strong>gw<strong>in</strong>ter, the risk of early spr<strong>in</strong>g flood<strong>in</strong>g could decrease. However, quantitative projections of <strong>change</strong>s <strong>in</strong>flood <strong>fr</strong>equency <strong>and</strong> magnitude rema<strong>in</strong> highly uncerta<strong>in</strong>.118 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsperiod <strong>and</strong> three future time periods based on thehydrological model LISFLOOD <strong>and</strong> an ensemble of12 climate models. Blue rivers <strong>in</strong>dicate an <strong>in</strong>crease<strong>in</strong> flood level <strong>and</strong> red rivers a decrease. While theensemble mean presented <strong>in</strong> Map 3.8 provides thebest assessment of all model simulations together,<strong>in</strong>dividual simulations can show importantdifferences <strong>fr</strong>om the ensemble mean for <strong>in</strong>dividualcatchments, partly due to significant decadal-scale<strong>in</strong>ternal variability <strong>in</strong> the simulated climate (Feyenet al., 2011). A decrease <strong>in</strong> 1-<strong>in</strong>-a-century floods isprojected <strong>in</strong> large parts of north-eastern <strong>Europe</strong> dueto a reduction <strong>in</strong> snow accumulation <strong>and</strong> hence meltassociatedfloods under milder w<strong>in</strong>ter temperatures(Dankers <strong>and</strong> Feyen, 2009). This projection isconsistent with other studies on snow-dom<strong>in</strong>atedregions, <strong>in</strong>clud<strong>in</strong>g parts of F<strong>in</strong>l<strong>and</strong> (Veijala<strong>in</strong>en et al.,2010), the Alps <strong>and</strong> Carpathian Mounta<strong>in</strong>s (EEA,2009b). Flash floods <strong>and</strong> pluvial floods, which aretriggered by local <strong>in</strong>tense precipitation events, arelikely to become more <strong>fr</strong>equent throughout <strong>Europe</strong>(Christensen <strong>and</strong> Christensen, 2002; Kundzewiczet al., 2006).3.3.4 River flow droughtRelevanceLack of water has severe consequences for <strong>Europe</strong>'scitizens <strong>and</strong> most economic sectors, <strong>in</strong>clud<strong>in</strong>gagriculture, energy production <strong>and</strong> <strong>in</strong>dustry. An<strong>in</strong>tense drought throughout the Iberian Pen<strong>in</strong>suladur<strong>in</strong>g 2004–2005, for example, led to a 40 %decl<strong>in</strong>e <strong>in</strong> cereal production (García-Herrera et al.,2007), whilst low ra<strong>in</strong>fall <strong>in</strong> 2006 led to a 30 %fall <strong>in</strong> agricultural production <strong>in</strong> Lithuania, withan estimated loss of EUR 200 million (<strong>Europe</strong>anCommission, 2007). In Slovenia, direct lossesattributable to drought <strong>in</strong> 2003 are estimated to bearound EUR 100 million (Sušnik <strong>and</strong> Kurnik, 2005).Furthermore, lack of water detrimentally <strong>impacts</strong><strong>fr</strong>eshwater ecosystems <strong>in</strong>clud<strong>in</strong>g vegetation, fish,<strong>in</strong>vertebrates <strong>and</strong> riparian bird life (EEA, 2009a).Dim<strong>in</strong>ished flow also strongly <strong>impacts</strong> water qualityby reduc<strong>in</strong>g the ability of a river to dilute pollutants.Electricity production has already been significantlyreduced <strong>in</strong> various locations <strong>in</strong> <strong>Europe</strong> dur<strong>in</strong>g verywarm summers due to limitations of cool<strong>in</strong>g watersupply <strong>fr</strong>om rivers. Dry periods can also seriouslyimpact the production of hydropower (Lehner et al.,2005), for example <strong>in</strong> the case of Catalunia where the2003–2007 drought caused a hydropower reductionof over 40 % (Generalitat de Catalunya, 2010).Past trendsOver the past 40 years, <strong>Europe</strong> has been affected bya number of major droughts, most notably <strong>in</strong> 1976,1989, 1991, <strong>and</strong> more recently (see Map 3.9), theprolonged drought over large parts of the cont<strong>in</strong>entassociated with the 2003 summer heat wave <strong>and</strong>the 2005 drought <strong>in</strong> the Iberian Pen<strong>in</strong>sula (see alsoeffects on Energy production <strong>in</strong> Section 4.5).However, there is no evidence that river flowdroughts have become more severe or <strong>fr</strong>equent over<strong>Europe</strong> <strong>in</strong> general <strong>in</strong> recent decades (Hisdal et al.,2001; Stahl et al., 2008), nor is there conclusive proofof a general <strong>in</strong>crease <strong>in</strong> summer dryness (based onthe Palmer Drought Severity Index) <strong>in</strong> <strong>Europe</strong> overthe past 50 years due to reduced summer moistureavailability (van der Schrier et al., 2006). Severalstations <strong>in</strong> <strong>Europe</strong> have shown trends towards lesssevere low stream flows over the 20th century butthis is primarily attributed to an <strong>in</strong>creas<strong>in</strong>g numberof reservoirs becom<strong>in</strong>g operational dur<strong>in</strong>g thisperiod (Svensson et al., 2005).Whilst public water supplies often have priorityover other uses dur<strong>in</strong>g droughts, restrictionson use can arise, together with a significant costassociated with emergency water supplies. In2008, Cyprus suffered its fourth consecutive yearof low ra<strong>in</strong>fall <strong>and</strong> the drought situation reacheda critical level <strong>in</strong> the summer months. To ease thecrisis, water was shipped <strong>in</strong> <strong>fr</strong>om Greece us<strong>in</strong>gKey messages: 3.3.4 River flow drought• <strong>Europe</strong> has been affected by several major droughts <strong>in</strong> recent decades, such as the catastrophicdrought associated with the 2003 summer heat wave <strong>in</strong> central parts of the cont<strong>in</strong>ent <strong>and</strong> the 2005drought <strong>in</strong> the Iberian Pen<strong>in</strong>sula.• Severity <strong>and</strong> <strong>fr</strong>equency of droughts appear to have <strong>in</strong>creased <strong>in</strong> parts of <strong>Europe</strong>, <strong>in</strong> particular <strong>in</strong>southern <strong>Europe</strong>.• Regions most prone to an <strong>in</strong>crease <strong>in</strong> drought hazard are southern <strong>and</strong> south-eastern <strong>Europe</strong>, butm<strong>in</strong>imum river flows are also projected to decrease significantly <strong>in</strong> many other parts of the cont<strong>in</strong>ent,especially <strong>in</strong> summer.120 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsMap 3.9Water scarcity <strong>and</strong> drought events <strong>in</strong> <strong>Europe</strong> dur<strong>in</strong>g the last decade-30°-20°-10°0°10°20°30°40°50°60°70°Water scarcity <strong>and</strong>drought events <strong>in</strong><strong>Europe</strong> dur<strong>in</strong>g thelast decade60°200250°201150°201220032005201140°20022012200220020 500 1000 1500 km2007–200840°Source: ETC-LUSI; Tallaksen, 2007 (personal communication).tankers. In addition, the Cypriot Government wasforced to apply emergency measures, <strong>in</strong>clud<strong>in</strong>g thecutt<strong>in</strong>g of domestic supplies by 30 %. Similarly, <strong>in</strong>Catalonia dur<strong>in</strong>g the spr<strong>in</strong>g of 2008 water levels<strong>in</strong> the reservoirs supply<strong>in</strong>g 5.8 million <strong>in</strong>habitantswere only at 20 % of capacity. The governmentplanned to ship <strong>fr</strong>esh water <strong>in</strong>, at an estimatedcost of EUR 35 million. After a few shiploads weretransported to Barcelona, these transports werestopped because strong ra<strong>in</strong>fall was fill<strong>in</strong>g thereservoirs aga<strong>in</strong> (Coll<strong>in</strong>s, 2009).ProjectionsRiver flow droughts are projected to <strong>in</strong>crease <strong>in</strong><strong>fr</strong>equency <strong>and</strong> severity <strong>in</strong> southern <strong>and</strong> southeastern<strong>Europe</strong>, Benelux, France, western parts ofGermany <strong>and</strong> the United K<strong>in</strong>gdom over the com<strong>in</strong>gdecades (Rojas et al., 2012) (see Map 3.10). For thenear future (2020s, Map 3.10a), the differences to thecontrol period 1961–1990 are rather limited althoughthe general pattern of an <strong>in</strong>crease of m<strong>in</strong>imumflows <strong>in</strong> Sc<strong>and</strong><strong>in</strong>avia <strong>and</strong> a decrease <strong>in</strong> southern<strong>and</strong> south-eastern <strong>Europe</strong> can already be seen. ForSc<strong>and</strong><strong>in</strong>avia <strong>and</strong> north-eastern <strong>Europe</strong> the projectedm<strong>in</strong>imum flows with a return period of 20 yearsfurther <strong>in</strong>crease while almost everywhere else <strong>in</strong><strong>Europe</strong> a moderate to strong decrease is projected.In most of <strong>Europe</strong>, the projected decrease <strong>in</strong> summerprecipitation accompanied by ris<strong>in</strong>g temperaturesis projected to lead to more <strong>fr</strong>equent <strong>and</strong> <strong>in</strong>tensesummer droughts (Douville et al., 2002; Lehneret al., 2006; Feyen <strong>and</strong> Dankers, 2009).This projecteddecl<strong>in</strong>e <strong>in</strong> the water resource will be reflected notonly by reduced river flows, but also by loweredlake <strong>and</strong> groundwater levels <strong>and</strong> a dry<strong>in</strong>g up ofwetl<strong>and</strong>s.<strong>Climate</strong> <strong>change</strong> will affect not only water supplybut also water dem<strong>and</strong>. Water dem<strong>and</strong> forirrigation is projected to <strong>in</strong>crease <strong>in</strong> many regions(see Section 4.1.5), which may further decrease riverflow. Initial research suggests that climate <strong>change</strong>may also have some effect on household waterdem<strong>and</strong> (Keirle <strong>and</strong> Hayes, 2007).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012121


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsMap 3.10Projected <strong>change</strong> <strong>in</strong> m<strong>in</strong>imum river flow with return period of 20 years-30° a) 2020s -10° 0° 10° 20° 30° 40° 50° -30° b) 2050s -10° 0° 10° 20° 30° 40° 50° -30° c) 2080s -10°0°10°20°30°40°50°60° 60°60° 60°60° 60°50° 50°50° 50°50° 50°40° 40°40° 40°40° 40°0°10°20°0°10°20°0°10°20°Relative <strong>change</strong> <strong>in</strong> m<strong>in</strong>imum river flow with return period of 20 years between future period <strong>and</strong> 1961–1990 (SRES A1B)(%)– 60 – 40 – 20 – 10 – 5 5 10 20 40 60© 2012 JRC, <strong>Europe</strong>an CommissionNote:Relative <strong>change</strong> <strong>in</strong> m<strong>in</strong>imum river flow for a) 2020s, b) 2050s <strong>and</strong> c) 2080s compared to 1961–1990 for SRES A1B scenario.Source: Rojas et al., 2012.3.3.5 Water temperatureRelevanceWater temperature is one of the parameters thatdeterm<strong>in</strong>e the overall health of aquatic ecosystems.Most aquatic organisms have a specific range oftemperatures they can tolerate, which determ<strong>in</strong>estheir spatial distribution. Changes <strong>in</strong> temperaturealso determ<strong>in</strong>e ice cover periods, thermalstratification of lakes, nutrient availability <strong>and</strong> theduration of grow<strong>in</strong>g seasons that <strong>in</strong> turn affectspecies composition <strong>and</strong> food web structures.Past trendsThe surface water temperatures of major rivers<strong>in</strong> <strong>Europe</strong> have <strong>in</strong>creased by 1–3 °C over the lastcentury (Figure 3.10). For example, the averagetemperature <strong>in</strong> the Rh<strong>in</strong>e near Basel has risen bymore than 2 °C <strong>in</strong> the last 50 years (FOEN, 2011). Thetemperature of the downstream part of the Rh<strong>in</strong>e<strong>in</strong>creased by 3 °C between 1910 <strong>and</strong> 2010. Two thirdsof the <strong>in</strong>crease at the downstream Rh<strong>in</strong>e is attributedto the <strong>in</strong>creased use of cool<strong>in</strong>g water <strong>and</strong> onethird to the <strong>in</strong>crease <strong>in</strong> air temperature as a resultof climate <strong>change</strong> (Bresser et al., 2006). A similarKey messages: 3.3.5 Water temperature• Water temperatures <strong>in</strong> major <strong>Europe</strong>an rivers have <strong>in</strong>creased by 1–3 °C over the last century. Severaltime series show <strong>in</strong>creas<strong>in</strong>g lake <strong>and</strong> river temperatures all over <strong>Europe</strong> over the last 60 to 90 years.• Lake <strong>and</strong> river surface water temperatures are projected to <strong>in</strong>crease with further projected <strong>in</strong>creases <strong>in</strong>air temperature.• Increased temperature can result <strong>in</strong> marked <strong>change</strong>s <strong>in</strong> species composition <strong>and</strong> function<strong>in</strong>g of aquaticecosystems.122 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsFigure 3.10 Trends <strong>in</strong> water temperature of large <strong>Europe</strong>an rivers <strong>and</strong> lakes <strong>in</strong> the20th century°C25201510501900 1920 1940 1960 1980 2000Rh<strong>in</strong>e, Lobith Danube, Vienna Meuse, EijsdenLake Saimaa, F<strong>in</strong>l<strong>and</strong>Lake Võrtsjärv, EstoniaNote:Annual average water temperature <strong>in</strong> River Rh<strong>in</strong>e <strong>and</strong> River Meuse (1911–2010); River Danube (1901–1998), Lake Võrtsjärv(1947–2011), <strong>and</strong> average water temperature <strong>in</strong> August <strong>in</strong> Lake Saimaa, F<strong>in</strong>l<strong>and</strong> (1924–2011).Source: River Rh<strong>in</strong>e <strong>and</strong> River Meuse: Compendium voor de Leefomgev<strong>in</strong>g, 2012; River Danube: Hohens<strong>in</strong>ner, 2006 (personalcommunication); Lake Saimaa: Johanne Korhonen, 2012 (personal communication); Lake Võrtsjärv: Peeter Nõges, 2012(personal communication).<strong>in</strong>crease has been observed <strong>in</strong> the Meuse. The annualaverage temperature of the Danube <strong>in</strong>creased byaround by 1 °C dur<strong>in</strong>g the last century. Increases <strong>in</strong>surface water temperature were also found <strong>in</strong> somelarge lakes. Lake Võrtsjärv <strong>in</strong> Estonia had a 0.7 °C<strong>in</strong>crease between 1947 <strong>and</strong> 2011, <strong>and</strong> the summer(August) water temperature of Lake Saimaa, F<strong>in</strong>l<strong>and</strong><strong>in</strong>creased more than 1 °C over the last century.Several time series <strong>in</strong>dicate a general trend of<strong>in</strong>creas<strong>in</strong>g water temperature <strong>in</strong> <strong>Europe</strong>an rivers<strong>and</strong> lakes <strong>in</strong> the range of 0.05 to 0.8 °C per decade(Dabrowski et al., 2004; George <strong>and</strong> Hurley, 2004;Pernaravièiûtë, 2004; Bresser et al., 2006). Thesurface water temperature of some rivers <strong>and</strong> lakes<strong>in</strong> Switzerl<strong>and</strong> has <strong>in</strong>creased by more than 2 °Cs<strong>in</strong>ce 1950 (BUWAL, 2004; Hari et al., 2006). In thelarge lakes <strong>in</strong> the Alps the water temperature hasgenerally <strong>in</strong>creased by 0.1–0.3 °C per decade: LakeMaggiore <strong>and</strong> other large Italian lakes (Ambrosetti<strong>and</strong> Barbanti, 1999; Liv<strong>in</strong>gstone, 2003; Annevilleet al., 2005; Dokulil et al., 2006).ProjectionsLake surface water temperatures are projectedto <strong>in</strong>crease further, <strong>in</strong> parallel with the projected<strong>in</strong>creases <strong>in</strong> air temperature. The exact amountof warm<strong>in</strong>g depends on the magnitude of globalwarm<strong>in</strong>g, on the region, on the season <strong>and</strong> onlake properties (Malmaeus et al., 2006; Georgeet al., 2007). Physical modell<strong>in</strong>g studies predictthat temperatures will <strong>in</strong>crease more <strong>in</strong> the upperregions of the water column than <strong>in</strong> the lowerregions, result<strong>in</strong>g <strong>in</strong> generally steeper verticaltemperature gradients <strong>and</strong> enhanced thermalstability (Peeters et al., 2002). Such <strong>in</strong>creased lakethermal stability was observed both <strong>in</strong> Switzerl<strong>and</strong>dur<strong>in</strong>g the mild 2006/2007 w<strong>in</strong>ter (Rempfer et al.,2010) <strong>and</strong> <strong>in</strong> Italy dur<strong>in</strong>g the hot 2009 summer(Nõges et al., 2011). Further <strong>impacts</strong> of <strong>in</strong>creasedlake <strong>and</strong> river water temperature are described <strong>in</strong>Section 3.3.6.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012123


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.3.6 Lake <strong>and</strong> river iceRelevanceLake ice reduces underwater light (Leppäranta et al.,2003) <strong>and</strong> vertical mix<strong>in</strong>g, that is, the ex<strong>change</strong> ofwater <strong>fr</strong>om different depth layers (Liv<strong>in</strong>gstone, 1993;Melles et al., 2007). The existence of lake ice, <strong>and</strong>the tim<strong>in</strong>g of lake ice break-up, is thus of criticalecological importance, <strong>in</strong>fluenc<strong>in</strong>g for <strong>in</strong>stancethe production <strong>and</strong> biodiversity of phytoplankton(Weyhenmeyer et al., 1999) <strong>and</strong> the occurrence ofw<strong>in</strong>ter fish kills (Stefan et al., 2001; Jackson et al.,2007).Past trendsThe duration of ice cover <strong>in</strong> the northern hemispherehas shortened at a mean rate of 12 days per centuryover the last 150–200 years, result<strong>in</strong>g <strong>fr</strong>om a 5.8 daylater ice cover <strong>and</strong> a 6.5 day earlier ice break-up onaverage (Magnuson et al., 2000; EEA, 2008).ProjectionsOne recent study has simulated <strong>change</strong>s <strong>in</strong> lakeice cover throughout the Northern Hemisphere(40–75 °N) based on one global climate model drivenby the SRES A2 emission scenario. The results<strong>in</strong>dicate an overall decrease <strong>in</strong> the duration of lakeice cover of 15–50 days across regions by 2040–2079,compared to the basel<strong>in</strong>e period 1960–1999 (Dibikeet al., 2011). The ice cover of lakes <strong>in</strong> regionswhere the ice season is already short or whereice cover only occurs <strong>in</strong> cold w<strong>in</strong>ters is generallymore strongly affected by <strong>in</strong>creas<strong>in</strong>g temperaturethan that of lakes <strong>in</strong> colder regions (Weyhenmeyeret al., 2011). However, the ecological consequencesof reduced ice cover are expected to be lower <strong>in</strong>areas where ice cover normally is less <strong>fr</strong>equent <strong>and</strong>ecosystems thereby are adapted to less ice or ice-<strong>fr</strong>eeconditions.There are, however, large differences across regions.At the Hungarian section of the River Danube, thedate of first ice appearance has shifted 19–29 dayslater over the 1876–2011 period, while the date off<strong>in</strong>al ice disappearance shifted 18–23 days earlier(Takács, 2011) (see Figure 3.11a). In Lake Kallavesi,eastern F<strong>in</strong>l<strong>and</strong> the <strong>fr</strong>eez<strong>in</strong>g date has shifted 15 dayslater <strong>in</strong> 1833–2011, while the break-up date hasshifted 12 days earlier <strong>in</strong> 1822–2011 (SYKE, 2011)(see Figure 3.11b).Key messages: 3.3.6 Lake <strong>and</strong> river ice• The existence of ice cover <strong>and</strong> the tim<strong>in</strong>g of ice break-up <strong>in</strong>fluence the vertical mix<strong>in</strong>g of lakes <strong>and</strong> aretherefore of critical ecological importance.• The duration of ice cover on <strong>Europe</strong>an lakes <strong>and</strong> rivers has shortened at a mean rate of 12 days percentury over the last 150–200 years.• A further decrease <strong>in</strong> the duration of lake ice cover is projected with projected climate <strong>change</strong>.124 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsFigure 3.11 Observed <strong>change</strong> <strong>in</strong> duration of lake <strong>and</strong> river ice covera)Date30 MarchDanube River, Budapest, 1876–201129 February30 January31 December01 December01 November1875/18761885/18861895/18961905/19061915/19161925/19261935/19361945/19461955/19561965/19661975/19761985/19861995/19962005/2006Freez<strong>in</strong>g dateBreak-up dateb)Freez<strong>in</strong>g date07 February28 January18 January08 January29 December19 December09 December29 November19 November09 NovemberLake Kallavesi, F<strong>in</strong>l<strong>and</strong>, 1833–2011Break-up date18 June08 June29 May19 May09 May29 April19 April09 April30 March20 March30 November183318431853186318731883189319031913192319331943195319631973198319932003201310 MarchFreez<strong>in</strong>g dateBreak-up dateNote:Ice break-up dates <strong>and</strong> <strong>fr</strong>eez<strong>in</strong>g dates of a) Danube River, at Budapest, 1876–2011 (5-year runn<strong>in</strong>g average) <strong>and</strong>b) Lake Kallavesi, F<strong>in</strong>l<strong>and</strong>, 1833–2011.Source: a) Katal<strong>in</strong> Takács, 2012 (personal communication).b) SYKE, 2011; Kuusisto, 2012 (personal communication).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012125


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.3.7 Freshwater ecosystems <strong>and</strong> water qualityThis Section presents selected <strong>in</strong>formation on the<strong>impacts</strong> of <strong>change</strong>s <strong>in</strong> the <strong>in</strong>dicators presented abovefor <strong>fr</strong>eshwater ecosystems <strong>and</strong> water quality. This<strong>in</strong>formation is not presented <strong>in</strong> the <strong>in</strong>dicator formatbecause several different <strong>impacts</strong> are foreseen foraquatic species <strong>and</strong> ecosystems, <strong>and</strong> the messagecannot simply be conveyed <strong>in</strong> one <strong>in</strong>dicator. More<strong>in</strong>formation can be found <strong>in</strong> (ETC-ICM, 2010).Impact of <strong>change</strong>d river flow regime on <strong>fr</strong>eshwaterecosystemsRiver flow regimes, <strong>in</strong>clud<strong>in</strong>g long-term averageflows, seasonality, low flows, high flows <strong>and</strong> othertypes of flow variability, play an important rolefor <strong>fr</strong>eshwater ecosystems. Thus, climate <strong>change</strong>affects <strong>fr</strong>eshwater ecosystems not only by <strong>in</strong>creasedtemperatures but also by altered river flow regimes(Döll <strong>and</strong> Zhang, 2010).Changes <strong>in</strong> phenologyIncreas<strong>in</strong>g temperatures will <strong>change</strong> thelife‐cycle events <strong>and</strong> stimulate an earlier spr<strong>in</strong>gonset of various biological phenomena, suchas phytoplankton spr<strong>in</strong>g bloom, clear waterphase, first day of flight for aquatic <strong>in</strong>sects <strong>and</strong>time of spawn<strong>in</strong>g of fish. Prolongation of thegrow<strong>in</strong>g season can have major effects on species.For example, British Odonata dragonflies <strong>and</strong>damselflies species have <strong>change</strong>d their first dayof flight by 1.5 day per decade on average overthe period 1960 to 2004 (Hassall et al., 2007), <strong>and</strong><strong>in</strong>creas<strong>in</strong>g temperatures at Lago Maggiore haveresulted <strong>in</strong> earlier <strong>and</strong> longer zooplankton blooms(Manca et al., 2007).Changes <strong>in</strong> species distributionIncreased water temperatures will favourwarm‐water species, whereas cold-water specieswill become more limited <strong>in</strong> their range. Examplesof northward-mov<strong>in</strong>g species are non‐migratoryBritish dragonflies <strong>and</strong> damselflies (Hickl<strong>in</strong>g et al.,2005) <strong>and</strong> south <strong>Europe</strong>an Dragonflies (<strong>in</strong>bo, 2011).The brown trout <strong>in</strong> Alp<strong>in</strong>e rivers has been observedto move to higher altitudes (Hari et al., 2006).Ext<strong>in</strong>ction of some cold-water aquatic <strong>in</strong>sects hasbeen predicted with reduced meltwater <strong>in</strong>put <strong>fr</strong>omdisappear<strong>in</strong>g snowpacks <strong>and</strong> glaciers (Brown et al.,2007).Facilitation of species <strong>in</strong>vasions<strong>Climate</strong> <strong>change</strong> is facilitat<strong>in</strong>g biological <strong>in</strong>vasionsof species that orig<strong>in</strong>ate <strong>in</strong> warmer regions.For example, the subtropical cyanobacteriumCyl<strong>in</strong>drospermopsis raciborskii thrives <strong>in</strong> watersthat have high temperatures, a stable water column<strong>and</strong> high nutrient concentrations. This highly toxicspecies has recently spread rapidly <strong>in</strong> temperateregions <strong>and</strong> is now commonly encounteredthroughout <strong>Europe</strong> (Dyble et al., 2002). Its spread<strong>in</strong>to dr<strong>in</strong>k<strong>in</strong>g <strong>and</strong> recreational water supplies hascaused <strong>in</strong>ternational public health concerns.Water quality<strong>Climate</strong> <strong>change</strong> is affect<strong>in</strong>g water quality <strong>in</strong> variousways. Higher temperatures stimulate m<strong>in</strong>eralisationof soil organic matter, which leads to <strong>in</strong>creasedleach<strong>in</strong>g of nutrients, especially nitrogen <strong>and</strong>phosphorus (Battarbee et al., 2008; Feuchtmayr et al.,2009; Futter et al., 2009). Decreases <strong>in</strong> stream flow,particularly <strong>in</strong> summer, will lead to higher nutrientKey messages: 3.3.7 Freshwater ecosystems <strong>and</strong> water quality• Cold-water species have been observed to move northwards or to higher altitudes <strong>in</strong> response to<strong>in</strong>creased temperatures.• A longer growth season will <strong>change</strong> the tim<strong>in</strong>g of several life-cycle events.• Increased water temperatures can lead to earlier <strong>and</strong> larger phytoplankton blooms.• The observed <strong>change</strong>s are projected to cont<strong>in</strong>ue with further projected climate <strong>change</strong>.• A warmer <strong>and</strong> wetter climate can lead to <strong>in</strong>creased nutrient <strong>and</strong> dissolved organic carbon concentrations<strong>in</strong> lakes <strong>and</strong> rivers but management <strong>change</strong>s can have much larger effects than climate <strong>change</strong>.126 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsconcentrations due to reduced dilution (Whiteheadet al., 2009), whereas <strong>in</strong>creases <strong>in</strong> floods <strong>and</strong> extremeprecipitation events can <strong>in</strong>crease the nutrient load tosurface waters due to <strong>in</strong>creased surface run-off <strong>and</strong>erosion, (Fraser et al., 1999; Battarbee et al., 2008).In this context, it should be noted that significantmanagement <strong>change</strong>s can have much larger <strong>impacts</strong>on nutrient concentrations than climatic <strong>change</strong>s(Bryhn et al., 2010).Increases <strong>in</strong> soil temperature, moisture <strong>and</strong> <strong>in</strong>tensivera<strong>in</strong>fall can enhance the concentrations of dissolvedorganic matter (DOC) (Worrall et al., 2002; Soulsbyet al., 2003; Inamdar et al., 2006; Roulet <strong>and</strong> Moore,2006). Increased DOC concentration has beenobserved <strong>in</strong> lakes <strong>and</strong> streams <strong>in</strong> <strong>Europe</strong> <strong>and</strong> NorthAmerica <strong>in</strong> recent decades, primarily due to arecovery <strong>fr</strong>om acid deposition, but climate <strong>change</strong>may result <strong>in</strong> additional <strong>in</strong>creases (Monteith et al.,2007). The overall relationship between climate<strong>change</strong> <strong>and</strong> DOC concentrations is not clear due tothe importance of different processes with oppos<strong>in</strong>geffects (Epp et al., 2007; Futter et al., 2007). Enhancednutrient <strong>and</strong> DOC concentrations can give <strong>in</strong>creasedeutrophication, lower oxygen levels <strong>and</strong> poorerunderwater light conditions.Algal blooms <strong>and</strong> water quality<strong>Climate</strong> <strong>change</strong> can enhance harmful algal blooms <strong>in</strong>lakes, both as a direct result of temperature <strong>in</strong>crease<strong>and</strong> as a result of climate-<strong>in</strong>duced <strong>in</strong>creases <strong>in</strong>nutrient concentrations. Increased lake temperaturewill generally have a eutrophication-like effect(Sch<strong>in</strong>dler, 2001), with enhanced phytoplanktonblooms (Wilhelm <strong>and</strong> Adrian, 2008), <strong>and</strong> <strong>in</strong>creaseddom<strong>in</strong>ance of cyanobacteria <strong>in</strong> phytoplanktoncommunities. These <strong>change</strong>s may restra<strong>in</strong> the useof lake dr<strong>in</strong>k<strong>in</strong>g water <strong>and</strong> recreation <strong>and</strong> they may<strong>in</strong>crease the associated health risks (Mooij et al.,2005; Jöhnk et al., 2008; Paerl <strong>and</strong> Huisman, 2008).Phytoplankton <strong>and</strong> zooplankton blooms <strong>in</strong> several<strong>Europe</strong>an lakes are now occurr<strong>in</strong>g one monthearlier than 30–40 years ago, giv<strong>in</strong>g rise to thepotential for a trophic mismatch between bloomspecies <strong>and</strong> other species (Weyhenmeyer et al., 1999;Weyhenmeyer, 2001; Adrian et al., 2006; Nõges et al.,2010).3.4 Terrestrial ecosystems <strong>and</strong>biodiversity3.4.1 Overview<strong>Climate</strong> <strong>change</strong> affects <strong>in</strong>dividual organisms(e.g. plant, fungi <strong>and</strong> animal species), wholeecosystems <strong>and</strong> their services <strong>in</strong> many ways. Thedirect effects of climate <strong>change</strong>, such as <strong>change</strong>s <strong>in</strong>species phenology <strong>and</strong> distribution, are moderatedby <strong>impacts</strong> on the habitat <strong>and</strong> by ecological<strong>in</strong>teractions between species, such as competition<strong>and</strong> food webs (see Figure 3.12). Furthermore,climate <strong>change</strong> usually does not act <strong>in</strong> isolation buttogether with other factors, such as eutrophication<strong>and</strong> human l<strong>and</strong> use <strong>and</strong> management. Thepr<strong>in</strong>cipal response mechanisms of species toclimate <strong>change</strong> depend on their adaptive capacity<strong>and</strong> <strong>in</strong>clude phenological <strong>and</strong>/or physiologicaladaptation, migration <strong>and</strong> colonisation of newhabitats. All these mechanisms face importantconstra<strong>in</strong>ts <strong>in</strong> terms of tim<strong>in</strong>g <strong>and</strong>/or effectiveness.Key messages: 3.4 Terrestrial ecosystems <strong>and</strong> biodiversity• The tim<strong>in</strong>g of seasonal events <strong>in</strong> plants <strong>and</strong> animals is chang<strong>in</strong>g across <strong>Europe</strong>. Between 1971 <strong>and</strong>2000, phenological events <strong>in</strong> spr<strong>in</strong>g <strong>and</strong> summer have advanced on average between 2.5 <strong>and</strong> 4 daysper decade. The pollen season today starts on average 10 days earlier <strong>and</strong> is longer than it was50 years ago. <strong>Climate</strong> <strong>change</strong> is regarded as the ma<strong>in</strong> cause of these <strong>change</strong>s.• Breed<strong>in</strong>g seasons of thermophilic <strong>in</strong>sects such as butterflies, dragonflies <strong>and</strong> bark beetles arelengthen<strong>in</strong>g, allow<strong>in</strong>g for extra generations to be produced dur<strong>in</strong>g the year.• Many <strong>Europe</strong>an plant <strong>and</strong> animal species have shifted their distribution northward <strong>and</strong> uphill <strong>in</strong> responseto observed climate <strong>change</strong>.• The rate of climate <strong>change</strong> is expected to exceed the ability of many species to adapt <strong>and</strong> migrate,especially where l<strong>and</strong>scape <strong>fr</strong>agmentation may restrict movement.• Direct effects on s<strong>in</strong>gle species are likely amplified by species <strong>in</strong>teractions, such as disruption of presentfood webs.• Almost one fifth of habitats <strong>and</strong> 12 % of species of <strong>Europe</strong>an <strong>in</strong>terest are potentially threatened byclimate <strong>change</strong> over their natural <strong>Europe</strong>an range. Bogs, mires <strong>and</strong> fens are considered to be the mostvulnerable habitat types.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012127


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsFigure 3.12 Effects of climate <strong>change</strong> on nature <strong>and</strong> biodiversity<strong>Climate</strong> <strong>change</strong>• Temperature• Precipitation• <strong>Climate</strong> extremes• Sea-level rise• ...Direct <strong>impacts</strong>• Physiology• Phenology• DistributionIndirect <strong>impacts</strong> through site conditions• Moisture <strong>and</strong> nutrient availability• Water <strong>and</strong> soil quality• Sal<strong>in</strong>isation• ErosionInteraction with other stress factors• Fragmentation• Eutrophication• Management (forestry, agriculture, fishery)• Industry (e.g. use cool<strong>in</strong>g water)Impacts on ecosystems• Includ<strong>in</strong>g relationships <strong>and</strong> food cha<strong>in</strong>sSource: Based on Jelle van M<strong>in</strong>nen, Netherl<strong>and</strong>s Environmental Assessment Agency.For example, migration may be constra<strong>in</strong>ed by thespeed of dispersal mechanisms <strong>and</strong> by migrationbarriers, <strong>in</strong>clud<strong>in</strong>g human habitat <strong>fr</strong>agmentation.If all these response mechanisms fail, the species islikely to gradually disappear <strong>fr</strong>om its current range<strong>and</strong> eventually become ext<strong>in</strong>ct.Measur<strong>in</strong>g the <strong>impacts</strong> of a chang<strong>in</strong>g climateon biodiversity is a considerable challenge.Furthermore, attribution of observed <strong>change</strong>s <strong>in</strong>biodiversity to climate <strong>change</strong> is difficult becauseof the importance of other drivers, such as habitat<strong>fr</strong>agmentation, degradation <strong>and</strong> loss (Mantyka-Pr<strong>in</strong>gle et al., 2012), <strong>in</strong>vasive alien species, humanmanagement <strong>and</strong> l<strong>and</strong>-use <strong>change</strong>. Nevertheless,several comprehensive studies have identifiedclimate <strong>change</strong> as the ma<strong>in</strong> driver for <strong>change</strong>s <strong>in</strong>the phenology <strong>and</strong> distribution of plant <strong>and</strong> animalspecies across the world (Root et al., 2003; Parmesan,2006; Amano et al., 2010; S<strong>in</strong>ger <strong>and</strong> Parmesan, 2010;Chen et al., 2011).Indicator selection<strong>Climate</strong> <strong>change</strong> directly <strong>in</strong>fluences physiologicalprocesses of animal <strong>and</strong> plant species, especiallyenergy <strong>and</strong> water budgets, <strong>and</strong> can <strong>in</strong> extremecases lead to death by desiccation or <strong>fr</strong>eez<strong>in</strong>g. Forwarm-adapted species, climate <strong>change</strong> may be morebeneficial while for cold-adapted species climate<strong>change</strong> tends to be more harmful (Hoffmann et al.,2012). To adapt to these <strong>change</strong>s, species haveseveral options: 1) adapt<strong>in</strong>g temporally, i.e. chang<strong>in</strong>gtheir life-cycle with<strong>in</strong> a year (their phenology)accord<strong>in</strong>g to altered climatic conditions throughoutthe year, 2) adapt<strong>in</strong>g spatially, i.e. <strong>change</strong> thedistribution ranges to follow suitable climaticconditions, <strong>and</strong> 3) microevolution by adapt<strong>in</strong>gphysiologically. As species <strong>in</strong>teract with each other,but responses to climate <strong>change</strong> are more or lessidiosyncratic, this can have fundamental <strong>impacts</strong>on the co-occurrence of species <strong>in</strong> time <strong>and</strong> space,potentially disrupt<strong>in</strong>g <strong>in</strong>teractions between species.128 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsUltimately, this is likely to <strong>change</strong> ecosystemproperties <strong>and</strong> functions. Traditionally, <strong>impacts</strong> areassessed differently for plant <strong>and</strong> animal species.We therefore decided to cover the follow<strong>in</strong>g<strong>in</strong>dicators:• Plant <strong>and</strong> fungi phenology;• Animal phenology;• Distribution of plant species;• Distribution <strong>and</strong> abundance of animal species;• Species <strong>in</strong>teractions.Changes <strong>in</strong> plant, fungi <strong>and</strong> animal phenologyhave shown to be good <strong>in</strong>dicators for climate <strong>change</strong><strong>impacts</strong> (Gordo <strong>and</strong> Sanz, 2006a; Estrella et al.,2009), yet also other pressures (such as nitrogen<strong>in</strong>put) may impact phenology (Clel<strong>and</strong> et al., 2006).Directly or <strong>in</strong>directly, climate <strong>change</strong> can affectspecies populations <strong>in</strong> a number of ways, <strong>in</strong>clud<strong>in</strong>gspecies distribution <strong>change</strong>s (e.g. due to habitatloss) <strong>and</strong> range <strong>change</strong>s (contraction <strong>and</strong> expansion,relat<strong>in</strong>g to their dispersal ability). Under a newclimatic regime, therefore, <strong>in</strong>dividuals of somespecies may be able to colonise new, more suitableareas. Such species will <strong>fr</strong>equently <strong>in</strong>clude alienspecies, that is those which have been <strong>in</strong>troducedby human agency to regions outside their naturalrange. Alien species are also be<strong>in</strong>g <strong>in</strong>troduced as aresult of climate <strong>change</strong> — for example birds <strong>and</strong><strong>in</strong>vertebrates <strong>fr</strong>om ma<strong>in</strong>l<strong>and</strong> <strong>Europe</strong> now be<strong>in</strong>gfound <strong>in</strong> southern Engl<strong>and</strong> <strong>and</strong> mov<strong>in</strong>g north. Alien<strong>in</strong>vasive species have been recognised as one of themost important threats to biodiversity at the globallevel. They have significant adverse <strong>impacts</strong> on thegoods <strong>and</strong> services provided by ecosystems, oneconomy <strong>and</strong> human health (Millennium EcosystemAssessment, 2005; Vilà et al., 2010, 2011). Thecomb<strong>in</strong>ation of the two pressures of climate <strong>change</strong><strong>and</strong> biological <strong>in</strong>vasions poses new challenges toconservation policies (Burgiel <strong>and</strong> Muir, 2010),especially as l<strong>in</strong>ks between them are largelyignored. <strong>Climate</strong> <strong>change</strong> can also affect ecologicaldynamics, the complex species <strong>in</strong>teractions <strong>and</strong>their ecosystem relationships. Chang<strong>in</strong>g climaticconditions can lead to mismatch<strong>in</strong>g of species'life-cycle events <strong>and</strong> food sources or decoupledpredator-prey relationships, for example through<strong>in</strong>fluences on the activity of predators or on trophic<strong>in</strong>teractions between species such as the associationbetween the tim<strong>in</strong>g of budburst (food supply),emergence of <strong>in</strong>sect larvae <strong>and</strong> the egg lay<strong>in</strong>g dateof birds.The EC Habitats Directive calls for the regularassessment <strong>and</strong> report<strong>in</strong>g of the conservation statusof the 1 500 species <strong>and</strong> the habitats of special<strong>Europe</strong>an <strong>in</strong>terest listed <strong>in</strong> the Directive's AnnexesI, II, IV <strong>and</strong> V ( 51 ). Dur<strong>in</strong>g the report<strong>in</strong>g period2001–2006, Member States collected a diverse range ofdata <strong>and</strong> provided expert op<strong>in</strong>ion. Data availability<strong>and</strong> quality is rather heterogeneous dur<strong>in</strong>g thisreport<strong>in</strong>g period ( 52 ). The reports conta<strong>in</strong> <strong>in</strong>formationon the conservation status of species <strong>and</strong> habitats.They also give an <strong>in</strong>dication whether climate <strong>change</strong>is considered as an important driver of <strong>change</strong> <strong>in</strong>conservation status. The first national reports suggestthat 19 % of habitats <strong>and</strong> 12 % of species of <strong>Europe</strong>an<strong>in</strong>terest are potentially threatened by climate <strong>change</strong>over their natural <strong>Europe</strong>an range (Table 3.2).Bogs, mires <strong>and</strong> fens are considered to be the mostvulnerable habitat types, with up to 50 % potentiallynegatively affected. This is particularly worry<strong>in</strong>gbecause bogs <strong>and</strong> mires are important carbonstores <strong>and</strong> their degradation releases GHGs <strong>in</strong>tothe atmosphere. Of the species groups, amphibiansare worst affected, with 45 % of species negativelyafflicted by climate <strong>in</strong> <strong>Europe</strong> (Araújo et al., 2006).The Natura2000 network <strong>in</strong> <strong>Europe</strong> is the mostextensive network of conservation areas worldwide.The pr<strong>in</strong>ciple objective of the EC Habitat Directive(i.e. ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g certa<strong>in</strong> species <strong>and</strong> habitats) isstatic <strong>and</strong> does not recognise dynamic <strong>in</strong>fluencesof environmental <strong>change</strong>s like climate <strong>change</strong>.An assessment of the effectiveness of conserv<strong>in</strong>g<strong>Europe</strong>an plant <strong>and</strong> terrestrial vertebrate speciesunder climate <strong>change</strong> estimates that by 2080,58 ± 2.6 % of the species would lose suitable climateniches <strong>in</strong> protected areas. In Natura2000 areas,the losses were even higher, at 63 ± 2.1 % (Araújoet al., 2011).Data quality <strong>and</strong> gapsGenerally, observations for popular groups such asvascular plants, birds, other terrestrial vertebrates <strong>and</strong>butterflies are much better than for less conspicuous<strong>and</strong> less popular species. Similarly, due to extensiveexist<strong>in</strong>g networks, a long tradition <strong>and</strong> better meansof detection <strong>and</strong> rapid responses of the organismsto <strong>change</strong>s, knowledge on phenological <strong>change</strong>sare better observed <strong>and</strong> recorded than range shifts.Projections of climate <strong>change</strong> <strong>impacts</strong> on phenologyrely crucially on the underst<strong>and</strong><strong>in</strong>g of current( 51 ) In 2007, Member States reported for the first time on the conservation status of habitats <strong>and</strong> species covered by the HabitatsDirective (Article 17 reports). As this report<strong>in</strong>g period was until 2006, it did not cover Bulgaria <strong>and</strong> Romania.( 52 ) For a more detailed discussion, see http://bd.eionet.europa.eu/article17/chapter2 <strong>and</strong> http://eea.eionet.europa.eu/Public/irc/eionet-circle/habitatsart17report/library?l=/papers_technical/completeness_coherence_1/_EN_1.0_&a=d.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012129


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsTable 3.2Habitats <strong>and</strong> species groups negatively affected by climate <strong>change</strong> <strong>in</strong> at least oneEU Member StateHabitat type% of habitatsof this typeaffected byclimate <strong>change</strong>Total numberof habitats ofthis typeSpecies group% of species<strong>in</strong> this groupaffected byclimate <strong>change</strong>Total numberof species <strong>in</strong>this groupBogs, mires <strong>and</strong> fens 50 12 Amphibians 45 51Dunes 29 21 Arthropods 29 118Forests 22 72 Mammals 26 125Heathl<strong>and</strong>s 20 10 Non‐vascular plants 21 38Sclerophyllous scrub 15 13 Molluscs 17 35Coastal 14 28 Reptiles 13 87Rocky habitats 14 14 Fish 4 100Grassl<strong>and</strong>s 10 29 Vascular plants 3 602Freshwater 5 19All habitats 19 218 All species 12 1 158 (*)Note:The table states the proportion of habitat types <strong>and</strong> species groups listed <strong>in</strong> the Habitat Directive for which at least oneMember State identified climate <strong>change</strong> as a reason for unfavourable trends <strong>in</strong> the area covered or across the natural range.(*) In addition to these species groups, two species <strong>fr</strong>om the 'others' (i.e. other groups of animals <strong>and</strong> plants) category werenoted as affected by climate <strong>change</strong>: the red coral (Corallium rubrum) <strong>and</strong> the medic<strong>in</strong>al leech (Hirudo medic<strong>in</strong>alis).Source: ETC/BD, 2009.processes <strong>and</strong> responses. For most cases, only afew years of data are available <strong>and</strong> do not cover theentire area of the EU but are restricted to certa<strong>in</strong>well monitored countries with a long tradition <strong>in</strong>the <strong>in</strong>volvement of citizen scientists. Based on theseshort time series, the determ<strong>in</strong>ation of <strong>impacts</strong> <strong>and</strong>their <strong>in</strong>terpretation thus has to rely on assumptions,<strong>and</strong> achiev<strong>in</strong>g a qualitative underst<strong>and</strong><strong>in</strong>g of species'responses is more robust than their quantification(S<strong>in</strong>ger <strong>and</strong> Parmesan, 2010). One of the greatestunknowns is how quickly <strong>and</strong> closely species willalter their phenology <strong>in</strong> accordance to a chang<strong>in</strong>gclimatic regime (van Asch et al., 2007; S<strong>in</strong>ger <strong>and</strong>Parmesan, 2010). Even experimental studies seemto be of little help, s<strong>in</strong>ce they notoriously tend tounderestimate the effects of climate <strong>change</strong> on<strong>change</strong>s <strong>in</strong> phenology (Wolkovich et al., 2012).Observ<strong>in</strong>g range shifts (<strong>and</strong> project<strong>in</strong>g responsesto climate <strong>change</strong>) crucially depends on gooddistributional data, which is also better for populargroups of species than for others. There is evidence<strong>fr</strong>om Denmark <strong>and</strong> two A<strong>fr</strong>ican regions that birdbiodiversity is a good proxy for total biodiversity<strong>in</strong> species-rich regions but data <strong>fr</strong>om other groupsare needed <strong>in</strong> less species-rich regions (Larsen et al.,2012). There are large differences <strong>in</strong> the qualityof observational data, with better data generallyavailable <strong>in</strong> northern <strong>and</strong> western <strong>Europe</strong> than <strong>in</strong>southern <strong>Europe</strong>. S<strong>in</strong>ce neither data quality nor lackof data are properly recorded, the true quality ofprojections of range shifts as well as the likelihoodof unobserved range shifts is largely unknown(Rocch<strong>in</strong>i et al., 2011). An extensive meta-analysis ofavailable projections accord<strong>in</strong>g to different modell<strong>in</strong>galgorithms, drivers, scenarios, downscal<strong>in</strong>gprocedures or taxonomic identity is also miss<strong>in</strong>g(see also Dormann et al., 2008).Species distribution models (also known as habitatmodels, niche models or envelope models) suffer<strong>fr</strong>om a variety of limitations because species arecurrently not <strong>in</strong> equilibrium with climate, <strong>and</strong>because species dispersal <strong>and</strong> biotic <strong>in</strong>teractions arelargely ignored (Bellard et al., 2012; Zarnetske et al.,2012). Furthermore, climate <strong>change</strong> projections for<strong>Europe</strong> <strong>in</strong>clude climate conditions (<strong>in</strong> particular <strong>in</strong>southern <strong>Europe</strong>) for which no analogue climatewas available for the model calibration (Pearson <strong>and</strong>Dawson, 2004; Dormann, 2007; Williams <strong>and</strong> Jackson,2007). Especially the latter problem is evident forprojections for southern <strong>Europe</strong> s<strong>in</strong>ce projections ofspecies distribution models lack <strong>in</strong>formation <strong>fr</strong>omclimates south of the Mediterranean. Therefore, theuncerta<strong>in</strong>ty <strong>in</strong> the Mediterranean region is muchhigher <strong>and</strong> projected decl<strong>in</strong>es might result <strong>fr</strong>om a lackof data <strong>fr</strong>om climatic situations not <strong>in</strong>cluded <strong>in</strong> themodel.Largely, there are just very coarse methods availablefor <strong>in</strong>corporat<strong>in</strong>g species <strong>in</strong>teractions, populationdynamics <strong>and</strong> dispersal processes <strong>in</strong>to models o<strong>fr</strong>ange shifts, despite several recent approaches to<strong>in</strong>corporate these (Pagel <strong>and</strong> Schurr, 2012; Schweigeret al., 2012).130 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.4.2 Plant <strong>and</strong> fungi phenologyRelevancePhenology is the tim<strong>in</strong>g of seasonal events suchas budburst, flower<strong>in</strong>g, dormancy, migration <strong>and</strong>hibernation. Some phenological responses aretriggered by mean temperature (Urhausen et al.,2011), while others are more responsive to daylength (Menzel et al., 2006) or weather extremes(Menzel et al., 2011). Changes <strong>in</strong> phenology affectthe grow<strong>in</strong>g season <strong>and</strong> thus ecosystem function<strong>in</strong>g<strong>and</strong> productivity. Changes <strong>in</strong> phenology areimpact<strong>in</strong>g farm<strong>in</strong>g (see Section 4.1), forestry (seeSection 4.2), garden<strong>in</strong>g <strong>and</strong> wildlife. The tim<strong>in</strong>gof till<strong>in</strong>g, sow<strong>in</strong>g <strong>and</strong> harvest<strong>in</strong>g is chang<strong>in</strong>g,<strong>fr</strong>uit is ripen<strong>in</strong>g earlier due to warmer summertemperatures (Menzel et al., 2006), <strong>and</strong> grass <strong>in</strong>municipal parks <strong>and</strong> on road verges requires more<strong>fr</strong>equent cutt<strong>in</strong>g over a longer period. Changes<strong>in</strong> flower<strong>in</strong>g have implications for the tim<strong>in</strong>g<strong>and</strong> <strong>in</strong>tensity of the pollen season <strong>and</strong> relatedhealth effects (see Section 4.1). The pollen seasonis advanc<strong>in</strong>g as many species start to flowerearlier, <strong>and</strong> the concentration of pollen <strong>in</strong> the air is<strong>in</strong>creas<strong>in</strong>g (Buters et al., 2010). The <strong>in</strong>creas<strong>in</strong>g trend<strong>in</strong> the yearly amount of airborne pollen for manytaxa is more pronounced <strong>in</strong> urban than semi-naturalareas across the cont<strong>in</strong>ent (Ziello et al., 2012).Past trendsCompared to the 2008 report (EEA, 2008), there isnew evidence of climate <strong>change</strong> <strong>impacts</strong> on plant<strong>and</strong> fungi phenology. An analysis of 315 species offungi <strong>in</strong> Engl<strong>and</strong> showed that these have <strong>in</strong>creasedtheir <strong>fr</strong>uit<strong>in</strong>g season <strong>fr</strong>om 33 to 75 days between1950 <strong>and</strong> 2005 (Gange et al., 2007). Furthermore,climate warm<strong>in</strong>g <strong>and</strong> <strong>change</strong>s <strong>in</strong> the temporalallocation of nutrients to roots seem to have causedsignificant numbers of species to beg<strong>in</strong> <strong>fr</strong>uit<strong>in</strong>g<strong>in</strong> spr<strong>in</strong>g as well as autumn. A study on 53 plantspecies <strong>in</strong> the United K<strong>in</strong>gdom found that theyhave advanced leaf<strong>in</strong>g, flower<strong>in</strong>g <strong>and</strong> <strong>fr</strong>uit<strong>in</strong>gon average by 5.8 days between 1976 <strong>and</strong> 2005(Thackeray et al., 2010). Similarly, 29 perennial plantspecies <strong>in</strong> Spa<strong>in</strong> have advanced leaf unfold<strong>in</strong>g onaverage by 4.8 days, first flower<strong>in</strong>g by 5.9 days,<strong>and</strong> <strong>fr</strong>uit<strong>in</strong>g by 3.2 days over the period 1943–2003,whereas leaf senescence was delayed on averageby 1.2 days (Gordo <strong>and</strong> Sanz, 2006a). For plants, amedium spr<strong>in</strong>g advancement of four to five days per1 °C <strong>in</strong>crease has been observed <strong>in</strong> <strong>Europe</strong> (Bert<strong>in</strong>,2008; Estrella et al., 2009; Amano et al., 2010) (seeMap 3.11).Short warm <strong>and</strong> cold spells also can have a strongeffect on phenological events but this dependsstrongly on their tim<strong>in</strong>g <strong>and</strong> the species (Kochet al., 2009; Menzel et al., 2011). Cont<strong>in</strong>ental-scale<strong>change</strong> patterns have been derived <strong>fr</strong>om time seriesof satellite measured phenological variables(1982–2006) (Ivits et al., 2012). North-east <strong>Europe</strong>showed a trend to an earlier <strong>and</strong> longer grow<strong>in</strong>gseason, particularly <strong>in</strong> the northern Baltic areas.Despite the earlier green<strong>in</strong>g up, large areas of<strong>Europe</strong> exhibited rather stable season length<strong>in</strong>dicat<strong>in</strong>g the shift of the entire grow<strong>in</strong>g seasonto an earlier period. The northern Mediterrane<strong>and</strong>isplayed a grow<strong>in</strong>g season shift towards laterdates while some agglomerations of earlier <strong>and</strong>shorter grow<strong>in</strong>g season were also seen. Thecorrelation of phenological time series with climatedata shows a cause-<strong>and</strong>-effect relationship overthe semi-natural areas. In contrast, managedecosystems have a heterogeneous <strong>change</strong> patternwith less or no correlation to climatic trends. Overthese areas climatic trends seemed to overlap<strong>in</strong> a complex manner with more pronouncedeffects of local biophysical conditions <strong>and</strong>/or l<strong>and</strong>management practices.Key messages: 3.4.2 Plant <strong>and</strong> fungi phenology• The tim<strong>in</strong>g of seasonal events <strong>in</strong> plants is chang<strong>in</strong>g across <strong>Europe</strong>, ma<strong>in</strong>ly due to <strong>change</strong>s <strong>in</strong> climateconditions. Seventy-eight per cent of leaf unfold<strong>in</strong>g <strong>and</strong> flower<strong>in</strong>g records show advanc<strong>in</strong>g trends <strong>in</strong>recent decades whereas only 3 % show a significant delay. Between 1971 <strong>and</strong> 2000, the averageadvance of spr<strong>in</strong>g <strong>and</strong> summer was between 2.5 <strong>and</strong> 4 days per decade.• As a consequence of climate-<strong>in</strong>duced <strong>change</strong>s <strong>in</strong> plant phenology, the pollen season starts on average10 days earlier <strong>and</strong> is longer than it was 50 years ago.• Trends <strong>in</strong> seasonal events are projected to advance further as climate warm<strong>in</strong>g proceeds.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012131


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsMap 3.11 Trends <strong>in</strong> spr<strong>in</strong>g phenology <strong>in</strong> <strong>Europe</strong> (1971–2000)-30°-20°-10°0°10°20°30°40°50°60°70°Trends <strong>in</strong> spr<strong>in</strong>gphenology <strong>in</strong> <strong>Europe</strong>(1971–2000)Spr<strong>in</strong>g phenological trend(days per year)60°– 1.00 to – 0.75– 0.74 to – 0.50– 0.49 to – 0.2550°– 0.24 to 0.000.01 to 0.250.26 to 0.500.51 to 0.7550°0.76 to 1.00Outside coverage40°40°0 500 0° 1000 150010°km20°30°40°Note:Each dot represents a station. Dot size adjusted for clarity. A negative phenological trend corresponds to an earlier onset ofspr<strong>in</strong>g.Source: Estrella et al., 2009.ProjectionsPhenology is primarily seen as an <strong>in</strong>dicator toobserve the <strong>impacts</strong> of climate <strong>change</strong> on ecosystems<strong>and</strong> their constituent species. Most projections ofclimate <strong>change</strong> <strong>impacts</strong> focus on other ecosystemprocesses, functions <strong>and</strong> services of more directrelevance for humans. However, an extrapolationof the observed relationship between temperature<strong>and</strong> phenological events <strong>in</strong>to the future can providea first estimate of future <strong>change</strong>s <strong>in</strong> phenology.Obviously, there are limits to possible <strong>change</strong>s<strong>in</strong> phenology, beyond which ecosystems have toadapt by <strong>change</strong>s <strong>in</strong> species composition. One ofthe few projections is for olives (Olea europaea) <strong>in</strong>the western Mediterranean, where an advancementof flower<strong>in</strong>g by 3–23 days <strong>in</strong> 2030 compared to1990 was projected (Osborne et al., 2000). For sixdom<strong>in</strong>ant <strong>Europe</strong>an tree species, (Vitasse et al., 2011)showed that flush<strong>in</strong>g is expected to advance <strong>in</strong> thenext decades but this trend substantially differedbetween species (<strong>fr</strong>om 0 to 2.4 days per decade). Themore difficult prediction of leaf senescence for twodeciduous species is expected to be delayed <strong>in</strong> thefuture (<strong>fr</strong>om 1.4 to 2.3 days per decade). The authorsconclude that earlier spr<strong>in</strong>g leaf<strong>in</strong>g <strong>and</strong> later autumnsenescence are likely to affect the competitivebalance between species.132 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.4.3 Animal phenologyRelevance<strong>Climate</strong> warm<strong>in</strong>g affects the life-cycles of all animalspecies. Species adapted to warmer temperaturesor dryer conditions may benefit <strong>fr</strong>om this <strong>change</strong>,whereas cold-adapted species may encounter<strong>in</strong>creas<strong>in</strong>g pressure on their life-cycles. Mild w<strong>in</strong>ters<strong>and</strong> the earlier onset of spr<strong>in</strong>g allow for an earlieronset of reproduction <strong>and</strong>, <strong>in</strong> some species, thedevelopment of extra generations dur<strong>in</strong>g the year.In the case of a phenological decoupl<strong>in</strong>g between<strong>in</strong>teract<strong>in</strong>g species <strong>in</strong> an ecosystem (e.g. reducedpressure <strong>fr</strong>om parasitoids <strong>and</strong> predators), certa<strong>in</strong>populations may reach very high abundances thatatta<strong>in</strong> orexceed damage thresholds <strong>in</strong> managedecosystems (e.g. bark beetles <strong>in</strong> conifer forests, Baieret al., 2007). Desynchronisation of phenologicalevents may also directly reduce fitness, for exampleif shortened hibernation times deteriorate bodycondition (Read<strong>in</strong>g, 2007) or if <strong>in</strong>teractions betweenherbivores <strong>and</strong> host plants are lost (Visser <strong>and</strong>Holleman, 2001). It may also negatively affectecosystem services such as poll<strong>in</strong>ation (Hegl<strong>and</strong>et al., 2009; Schweiger et al., 2010). There is robustevidence that generalist species with high adaptivecapacity are favoured, whereas specialist specieswill be mostly affected negatively (Schweiger et al.,2008, 2012; Roberts et al., 2011).Past trendsSeveral studies have conv<strong>in</strong>c<strong>in</strong>gly demonstrated atight dependency of life-cycle traits of animals withambient temperatures, both <strong>in</strong> terrestrial <strong>and</strong> aquatichabitats (Roy <strong>and</strong> Sparks, 2000; Stefanescu et al.,2003; Dell et al., 2005; Parmesan, 2006; Hassall et al.,2007; D<strong>in</strong>gemanse <strong>and</strong> Kalkman, 2008; Schlüteret al., 2010; Tryjanowski et al., 2010). Mostly, theobserved warm<strong>in</strong>g leads to an advanced tim<strong>in</strong>g oflife history events. For example, temporal trends forappearance dates of two <strong>in</strong>sect species (honey bee,small white: Pieris rapae) <strong>in</strong> more than 1 000 localities<strong>in</strong> Spa<strong>in</strong> have closely followed variations <strong>in</strong> recordedspr<strong>in</strong>g temperatures between 1952 <strong>and</strong> 2004 (Gordo<strong>and</strong> Sanz, 2006a).The predicted egg-lay<strong>in</strong>g date for the Pied flycatcher(Ficedula hypoleuca) showed significant advancementbetween 1980 <strong>and</strong> 2004 <strong>in</strong> western <strong>and</strong> central <strong>Europe</strong>,but delays <strong>in</strong> northern <strong>Europe</strong>, both depend<strong>in</strong>g onregional temperature trends <strong>in</strong> the relevant season(Both <strong>and</strong> Marvelde, 2007) (see Map 3.12). Data <strong>fr</strong>omfour monitor<strong>in</strong>g stations <strong>in</strong> south to mid-Norwaythat <strong>in</strong>clude nest-boxes of Pied flycatcher <strong>fr</strong>om 1992–2011 show <strong>in</strong> contrary to the regional temperatureestimated trends that there are no significant delays<strong>in</strong> egg-lay<strong>in</strong>g date for the Pied flycatcher, but anannual fluctuation mak<strong>in</strong>g a rather flat curve for themedian over these years (Framstad, 2012). A study <strong>in</strong>the Netherl<strong>and</strong>s cover<strong>in</strong>g the period between 1932<strong>and</strong> 2004 found that half of the <strong>in</strong>vestigated birdspecies are now overw<strong>in</strong>ter<strong>in</strong>g significantly closer totheir breed<strong>in</strong>g site than <strong>in</strong> the past, most likely dueto warmer w<strong>in</strong>ters (Visser et al., 2009). A long-termtrend analysis of 110 common breed<strong>in</strong>g birds across<strong>Europe</strong> (1980–2005, 20 countries) showed that specieswith the lowest thermal maxima showed the sharpestdecl<strong>in</strong><strong>in</strong>g trends <strong>in</strong> abundance (Jiguet et al., 2010). Inother words, cold-adapted species are los<strong>in</strong>g territorymost quickly.A study <strong>fr</strong>om the United K<strong>in</strong>gdom found that eachof the 44 species of butterfly <strong>in</strong>vestigated advancedits date of first appearance s<strong>in</strong>ce 1976 (Diamondet al., 2011). Recent studies on birds, butterflies <strong>and</strong>amphibians not only confirmed previous f<strong>in</strong>d<strong>in</strong>gsthat there is a coherent f<strong>in</strong>gerpr<strong>in</strong>t of climate <strong>change</strong><strong>in</strong> the pattern of phenological <strong>change</strong>s (Crick <strong>and</strong>Sparks, 1999; Root et al., 2003; Charmantier et al.,2008), but also <strong>in</strong>dicated that average rates ofphenological <strong>change</strong> have recently accelerated <strong>in</strong>l<strong>in</strong>e with accelerated warm<strong>in</strong>g trends (Thackerayet al., 2010). There is also <strong>in</strong>creas<strong>in</strong>g evidence aboutclimate-<strong>in</strong>duced <strong>change</strong>s <strong>in</strong> spr<strong>in</strong>g <strong>and</strong> autumnmigration, <strong>in</strong>clud<strong>in</strong>g formerly migratory birdspecies becom<strong>in</strong>g resident (Gordo <strong>and</strong> Sanz, 2006b;Jonzén et al., 2006; Rubol<strong>in</strong>i et al., 2007).Key messages: 3.4.3 Animal phenology• Many animal groups have advanced their life-cycles <strong>in</strong> recent decades, <strong>in</strong>clud<strong>in</strong>g <strong>fr</strong>ogs spawn<strong>in</strong>g, birdsnest<strong>in</strong>g <strong>and</strong> the arrival of migrant birds <strong>and</strong> butterflies. This advancement is attributed primarily to awarm<strong>in</strong>g climate.• The breed<strong>in</strong>g season of many thermophilic <strong>in</strong>sects (such as butterflies, dragonflies <strong>and</strong> bark beetles)has been lengthen<strong>in</strong>g, allow<strong>in</strong>g more generations to be produced per year.• The observed trends are expected to cont<strong>in</strong>ue <strong>in</strong> the future but quantitative projections are ratheruncerta<strong>in</strong>.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012133


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsMap 3.12 Trend <strong>in</strong> egg-lay<strong>in</strong>g dates of the Pied flycatcher across <strong>Europe</strong> (1980–2004)-30°60°50°40°•-20°-10°0°•••••••••• • • •• • • • •• •••• • •••• •• ••••••• • • ••• • ••• • •••• • • • • • • •• • • • • ••• • • • •••• • • • ••• • • • •• • •• •••••••• •••••••••••10°20°•••30° 40°••••••• • •••50°••••••••• 60°• 60°•50°40°•Changes <strong>in</strong> egg-lay<strong>in</strong>gdates of Pied flycatcher(Ficedula hypoleuca),1980–2004Lay<strong>in</strong>g date trend (days/25 years)– 7–– 5–– 3–– 1–1 –3 –5 –– 4– 3– 2– 1– 0– – 1– – 2Temperature trend (°C/25 years)Source of lay<strong>in</strong>g datetime series• Weather stations0 5000°1000 1500 km10°20°30°Note:Dots: weather stations used to calculate <strong>change</strong>s <strong>in</strong> local egg-lay<strong>in</strong>g dates (derived <strong>fr</strong>om temperature data);triangles: location of Pied flycatcher lay<strong>in</strong>g date time series.Source: Both <strong>and</strong> Marvelde, 2007.ProjectionsProjections for animal phenology are rarely carriedout, except for species of high economic <strong>in</strong>terest(Hodgson et al., 2011). Quantitative projectionsare hampered by the high natural variability<strong>in</strong> phenological data, particularly <strong>in</strong> <strong>in</strong>sects(Baier et al., 2007). The projected future warm<strong>in</strong>g isexpected to cause further shifts <strong>in</strong> animal phenology<strong>and</strong> can lead to an <strong>in</strong>crease of trophic mismatch<strong>in</strong>g,unforeseeable outbreaks of species, a decreaseof specialist species <strong>and</strong> <strong>change</strong>s <strong>in</strong> ecosystemfunction<strong>in</strong>g (van Asch et al., 2007; S<strong>in</strong>ger <strong>and</strong>Parmesan, 2010).134 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.4.4 Distribution of plant speciesRelevance<strong>Climate</strong> <strong>change</strong> affects ecosystems <strong>in</strong> complexways. The composition of many plant communitiesis chang<strong>in</strong>g (Pompe et al., 2010), often to suchan extent that completely new assemblages areappear<strong>in</strong>g (Urban et al., 2012). The ext<strong>in</strong>ction risk isparticularly large at the trail<strong>in</strong>g edge (i.e. southernor lower altitud<strong>in</strong>al range marg<strong>in</strong>s) of a species(Dirnböck et al., 2011). The ecological implicationsof these <strong>change</strong>s <strong>and</strong> their effects on the provisionof ecosystems services are difficult to assess <strong>and</strong>quantify. However, it is clear that climate <strong>change</strong>is an important threat for long-term biodiversityconservation. It threatens the ability of meet<strong>in</strong>g theEU policy target to halt biodiversity loss by 2020.The favourable status of Natura 2000 sites is also <strong>in</strong>danger (Thuiller et al., 2011; Hickler et al., 2012).with wide altitud<strong>in</strong>al <strong>and</strong> ecological ranges showedthe greatest <strong>in</strong>creases <strong>in</strong> abundance <strong>and</strong> altitud<strong>in</strong>aladvances, while species with more restricted habitatdem<strong>and</strong>s have decl<strong>in</strong>ed. High-altitude species havedisappeared <strong>fr</strong>om their lower-elevation sites <strong>and</strong><strong>in</strong>creased their abundance at the highest altitudes.In the Swiss Alps an upward shift of vascularplants by 13 m was observed based on unpublisheddata of 'Biodiversity Monitor<strong>in</strong>g Switzerl<strong>and</strong>' ( 53 ).A study <strong>in</strong>volv<strong>in</strong>g 171 forest species <strong>in</strong> 6 mounta<strong>in</strong>regions <strong>in</strong> France found significant upward shifts<strong>in</strong> species' optimum elevation, averag<strong>in</strong>g 29 m perdecade, but with a wide range <strong>fr</strong>om + 238 m perdecade to – 171 m per decade (Lenoir et al., 2008).L<strong>and</strong>-use <strong>change</strong>s are the most likely explanation ofthe observed significant downward shifts <strong>in</strong> someregion (Lenoir et al., 2010). There is further evidenceof <strong>in</strong>creases <strong>in</strong> the distribution range due to climate<strong>change</strong> for several plant species (Berger et al., 2007;Walther et al., 2007; Pompe et al., 2011).Past trendsNew results have corroborated <strong>and</strong> ref<strong>in</strong>ed earlierknowledge regard<strong>in</strong>g distribution <strong>change</strong>s ofspecies as a result of climate <strong>change</strong>. Mounta<strong>in</strong>top floras across <strong>Europe</strong> have shown a significant<strong>change</strong> <strong>in</strong> species composition between 2001<strong>and</strong> 2008, with cold-adapted species decreas<strong>in</strong>g<strong>and</strong> warm-adapted species <strong>in</strong>creas<strong>in</strong>g (Gott<strong>fr</strong>iedet al., 2012). Most species have moved upslope onaverage. These shifts had opposite effects on thesummit floras' species richness <strong>in</strong> boreal-temperatemounta<strong>in</strong> regions (+ 3.9 species on average) <strong>and</strong>Mediterranean mounta<strong>in</strong> regions (– 1.4 species)(Pauli et al., 2012). In central Norway, an <strong>in</strong>creasedspecies richness was found on 19 of 23 <strong>in</strong>vestigatedmounta<strong>in</strong>s <strong>in</strong> a 68-year study (Kl<strong>and</strong>erud <strong>and</strong> Birks,2003). Lowl<strong>and</strong> species, dwarf shrubs <strong>and</strong> speciesProjectionsPrevious modell<strong>in</strong>g exercises projected a highspecies loss <strong>in</strong> Alp<strong>in</strong>e species. More recent studiesthat have considered the large microclimaticheterogeneity <strong>in</strong> mounta<strong>in</strong> regions suggest thatmany species would f<strong>in</strong>d climatically suitablehabitats with<strong>in</strong> reach when forced to migrate undera chang<strong>in</strong>g climate (Scherrer <strong>and</strong> Körner, 2011).Accord<strong>in</strong>gly, mounta<strong>in</strong> flora seems to possess agreater small-scale persistence than previouslyassumed (R<strong>and</strong><strong>in</strong> et al., 2009). Nevertheless, a recentmodell<strong>in</strong>g study compris<strong>in</strong>g 150 high-mounta<strong>in</strong>plant species across the <strong>Europe</strong>an Alps projectsaverage range size reductions of 44–50 % by theend of the 21st century (Dull<strong>in</strong>ger et al., 2012).An assessment of the <strong>impacts</strong> of climate <strong>change</strong>on 2 632 plant species across all major <strong>Europe</strong>anKey messages: 3.4.4 Distribution of plant species• Several <strong>Europe</strong>an plant species have shifted their distribution northward <strong>and</strong> uphill. These <strong>change</strong>s havebeen l<strong>in</strong>ked to observed climate <strong>change</strong>, <strong>in</strong> particular to milder w<strong>in</strong>ters.• Mounta<strong>in</strong> ecosystems <strong>in</strong> many parts of <strong>Europe</strong> are chang<strong>in</strong>g as plant species exp<strong>and</strong> uphill <strong>and</strong>cold‐adapted species are projected to lose climatically suitable areas.• By the late 21st century, distributions of <strong>Europe</strong>an plant species are projected to have shifted severalhundred kilometres to the north, forests are likely to have contracted <strong>in</strong> the south <strong>and</strong> exp<strong>and</strong>ed <strong>in</strong> thenorth, <strong>and</strong> about half of the mounta<strong>in</strong> plant species may face ext<strong>in</strong>ction.• The rate of climate <strong>change</strong> is expected to exceed the ability of many plant species to migrate, especiallyas l<strong>and</strong>scape <strong>fr</strong>agmentation may restrict movement.( 53 ) See http://www.biodiversitymonitor<strong>in</strong>g.ch/en.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012135


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsmounta<strong>in</strong> ranges under 4 future climate scenariosprojected that habitat loss by 2070–2100 is greaterfor species distributed at higher elevations (Engleret al., 2011). Depend<strong>in</strong>g on the climate scenario,up to 36–55 % of Alp<strong>in</strong>e plant species, 31–51 % ofsub-Alp<strong>in</strong>e plant species <strong>and</strong> 19–46 % of montaneplant species lose more than 80 % of their suitablehabitat. A <strong>Europe</strong>an-wide study of the stability of856 plant species under climate <strong>change</strong> <strong>in</strong>dicatedthat the mean stable area of species decreases <strong>in</strong>Mediterranean scrubl<strong>and</strong>, grassl<strong>and</strong> <strong>and</strong> warmmixed forests (see Map 3.13) (Alkemade et al., 2011).The rate of climate <strong>change</strong> is expected to exceed theability of many plant species to migrate, especiallyas l<strong>and</strong>scape <strong>fr</strong>agmentation may restrict movement(Meier et al., 2012).The variety of modell<strong>in</strong>g approaches <strong>and</strong> results donot make clear statements as to where ecosystems<strong>and</strong> their services are at greatest risk <strong>fr</strong>om climate<strong>change</strong>. Furthermore, most ecological studiesassess climate <strong>change</strong> (or just temperature <strong>change</strong>)<strong>in</strong> isolation <strong>fr</strong>om concurrent processes, such as<strong>in</strong>creas<strong>in</strong>g atmospheric CO 2concentration, soil wateravailability or l<strong>and</strong>-use <strong>change</strong>s.The <strong>in</strong>troduction <strong>and</strong> establishment of <strong>in</strong>vasive alienspecies is driven primarily by past socio‐economicfactors (Pyšek et al., 2010; Essl et al., 2011). However,many <strong>in</strong>vasive alien species are predicated to<strong>in</strong>crease their range <strong>and</strong> abundance <strong>in</strong> central<strong>Europe</strong> under a warm<strong>in</strong>g climate (Kle<strong>in</strong>bauer et al.,2010; Pompe et al., 2011) (see Box 3.2).Map 3.13Expected average percentage of stable area of 856 plant species for two differentclimate scenarios by 2100S550eBasel<strong>in</strong>eExpected average percentage of stable area of 856 plant species for two different climate scenarios by 2100% stable area0–10 10–20 20–30 30–40 40–50 50–60 60–70 70–80 80–90 90–100Note:The S550e scenario corresponds to a stabilisation at 550 ppm CO 2-equivalent <strong>and</strong> a global mean temperature <strong>in</strong>crease of2 °C, the basel<strong>in</strong>e scenario corresponds to a global mean temperature <strong>in</strong>crease of more than 3 °C.Source: Alkemade et al., 2011; repr<strong>in</strong>ted with k<strong>in</strong>d permission <strong>fr</strong>om Spr<strong>in</strong>ger Science+Bus<strong>in</strong>ess Media.136 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsBox 3.2Alien plant species <strong>and</strong> climate <strong>change</strong> — new ranges?Horticulture <strong>and</strong> ornamental plant trade are by far the most important pathways of plant <strong>in</strong>troductions to <strong>Europe</strong>(Hanspach et al., 2008; Hulme et al., 2008; Hulme, 2011). However, climate <strong>change</strong> mitigation <strong>and</strong> adaptationmeasures may also contribute to the <strong>in</strong>troduction of new species, for example through <strong>in</strong>creas<strong>in</strong>g use ofdry‐adapted species <strong>in</strong> forestry, <strong>and</strong> cultivation of energy plants (IUCN, 2009). Furthermore, climate <strong>change</strong> itselfmay <strong>in</strong>crease the establishment <strong>and</strong> reproduction rates <strong>and</strong> the niche breadth of alien plant species (Walther et al.,2009; Kle<strong>in</strong>bauer et al., 2010).An <strong>in</strong>creas<strong>in</strong>g number of warm-adapted alien plant species has recently become established <strong>in</strong> central <strong>Europe</strong>,such as palms, cacti <strong>and</strong> evergreen tree species (Berger et al., 2007; Walther et al., 2007; Essl <strong>and</strong> Kobler, 2009).One example is the W<strong>in</strong>dmill Palm (Trachycarpus fortunei), which was <strong>in</strong>troduced more than a century ago,but established <strong>in</strong> the wild only recently after average w<strong>in</strong>ter temperature <strong>in</strong>creased <strong>and</strong> severity of cold spellsdecreased (Berger et al., 2007). Alien plant species have also <strong>in</strong>creased their range by mov<strong>in</strong>g uphill (Pauchardet al., 2009).Most alien plant species orig<strong>in</strong>ate <strong>fr</strong>om warmer regions <strong>and</strong> will therefore benefit <strong>fr</strong>om projected climate <strong>change</strong> <strong>in</strong><strong>Europe</strong> (Walther et al., 2009; Schweiger et al., 2010; Hulme, 2012). For example, Map 3.14 shows the potentialfuture distribution of 30 major <strong>in</strong>vasive alien plant species for Austria <strong>and</strong> Germany as projected under differentclimate <strong>change</strong> scenarios (Kle<strong>in</strong>bauer et al., 2010).Map 3.14Actual <strong>and</strong> potential future alien plant <strong>in</strong>vasion hotspots (2081–2090) undertwo emissions scenariosCurrent 10°B2 10°A210°50°50°50°50°50°50°0 500 km 0 500 km 0 500 km10°10°10°Actual <strong>and</strong> potential future alien plant <strong>in</strong>vasion hotspots (2081–2090) under two emission scenariosNumber of species (out of 30)0 1–5 6–10 11–15 16–20 21–25 > 26 Outside coverageNote:Potential future alien plant <strong>in</strong>vasion hotspots <strong>in</strong> Austria <strong>and</strong> Germany under climate <strong>change</strong>, based on 30 <strong>in</strong>vasive alienvascular plant species <strong>and</strong> the SRES A2 <strong>and</strong> B2 emissions scenarios. Colours mark number of <strong>in</strong>vasive alien speciessuitable <strong>in</strong> an area.Source: Kle<strong>in</strong>bauer et al., 2010.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012137


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsFigure 3.13 Observed latitud<strong>in</strong>al shifts of four species groups over 25 years <strong>in</strong> Brita<strong>in</strong>Kilometres moved northwards3002001000− 100Spiders Ground beetles Butterflies GrasshoppersNote:Observed latitud<strong>in</strong>al shifts of the northern range boundaries of species with<strong>in</strong> 4 exemplar taxonomic groups, studiedover 25 years <strong>in</strong> Brita<strong>in</strong>. (A) Spiders (85 species), (B) ground beetles (59 species), (C) butterflies (29 species), <strong>and</strong>(D) grasshoppers <strong>and</strong> allies (22 species). Positive latitud<strong>in</strong>al shifts <strong>in</strong>dicate movement toward the north (pole); negativevalues <strong>in</strong>dicate shifts toward the south (Equator). Horizontal l<strong>in</strong>es mark the Median, boxes the 25 to 75 % quartile <strong>and</strong>whisker the range (up to 1.5 times the <strong>in</strong>terquartile distance). Open Circles are outliers.Source: Modified after Chen et al., 2011.The Community Temperature Index (CTI) is ameasure for the rate of <strong>change</strong> <strong>in</strong> communitycomposition <strong>in</strong> response to temperature <strong>change</strong>.Accord<strong>in</strong>g to <strong>change</strong>s <strong>in</strong> the CTI, butterflycommunities become <strong>in</strong>creas<strong>in</strong>gly composed ofspecies associated with warmer temperatures. Forexample, the CTI of butterfly communities across<strong>Europe</strong> has <strong>in</strong>creased by only 0.014 °C per year <strong>fr</strong>om1970 to 2007. However, temperature has <strong>in</strong>creased by0.039 °C per year <strong>in</strong> the same period, that is almostthree times faster than the butterfly community couldmove north (van Swaay et al., 2008). The f<strong>in</strong>d<strong>in</strong>g thatthe movement of animal species is unable to keeppace with climate <strong>change</strong> has been confirmed <strong>in</strong> ananalysis of the CTI of several thous<strong>and</strong> local bird <strong>and</strong>butterfly communities across <strong>Europe</strong> (see Map 3.15)(Devictor et al., 2012).The Arctic contribution to global biodiversityis substantial as the region supports globallysignificant populations of birds, mammals <strong>and</strong> fish.The Arctic Species Trend Index (ASTI) has beentrack<strong>in</strong>g trends <strong>in</strong> 306 Arctic species. An analysis ofthe ASTI over 34 years (1970–2004) has shown thatthe abundance of high Arctic vertebrates decl<strong>in</strong>edby 26 % whereas low Arctic vertebrate species<strong>in</strong>creased <strong>in</strong> abundance. Sub-Arctic species did notshow a trend over the whole time period but theyseem to decl<strong>in</strong>e s<strong>in</strong>ce the mid-1980s (McRae et al.,2010).There is some evidence that climate <strong>change</strong> hasalready played a role <strong>in</strong> the spread of alien animalspecies (see Box 3.3).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012139


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsMap 3.15<strong>Europe</strong>an variations <strong>in</strong> the temporal trend of bird <strong>and</strong> butterfly communitytemperature <strong>in</strong>dex-30°-20°-10°0°10°20°30°40°50°60°70°Bird <strong>and</strong> butterflycommunity temperature<strong>in</strong>dex (CTI)ButterflyBird60°Relevant countries50°Outside coverage50°40°40°0 500 0° 1000 150010°km20°30°40°Note:The map shows the temporal trend of bird <strong>and</strong> butterfly CTI for each country. A temporal <strong>in</strong>crease <strong>in</strong> CTI directly reflectsthat the species assemblage of the site is <strong>in</strong>creas<strong>in</strong>gly composed of <strong>in</strong>dividuals belong<strong>in</strong>g to species dependent on highertemperature. The height of a given arrow is proportional to the temporal trend <strong>and</strong> its direction corresponds to the sign of theslope (<strong>fr</strong>om south to north for positive slopes). The arrow is opaque if the trend is significant.Source: Devictor et al., 2012.Box 3.3Alien animal species <strong>and</strong> climate <strong>change</strong> — new establishments?There is <strong>in</strong>creas<strong>in</strong>g evidence that some alien species <strong>in</strong> general <strong>and</strong> some alien animal species <strong>in</strong> particular willon average be able to <strong>in</strong>crease their ranges under climate <strong>change</strong> (Walther et al., 2009). The spread of alienanimal species <strong>in</strong>to new regions is favoured by the impact of climate <strong>change</strong> on ecosystems <strong>and</strong> l<strong>and</strong>scapes(e.g. rapid climatically driven <strong>change</strong> <strong>in</strong> ecosystem composition), by a weaken<strong>in</strong>g resistance of native speciesto alien predators <strong>and</strong> parasites (e.g. Norway spruce <strong>and</strong> bark beetle, Ips typographus) (Baier et al., 2007),<strong>and</strong> by decreas<strong>in</strong>g climatic constra<strong>in</strong>ts on warm-adapted alien species. However, uncerta<strong>in</strong>ty regard<strong>in</strong>g thefuture behaviour of a particular species under climate <strong>change</strong> rema<strong>in</strong>s high. Because alien species are mostlyopportunistic <strong>and</strong> generalists, they tend to perform better under rapidly chang<strong>in</strong>g climate than native species(Hellmann et al., 2008).The Red-Eared Slider Turtle (Trachemys scripta elegans) is native to eastern North America <strong>and</strong> was <strong>in</strong>troducedto <strong>Europe</strong> as a pet <strong>in</strong> the 1960s (Kraus, 2009). In <strong>Europe</strong>, it can currently reproduce <strong>in</strong> the Mediterranean onlywhere temperature, precipitation <strong>and</strong> solar radiation are suitable but this range is projected to shift further northwith climate <strong>change</strong> (Ficetola et al., 2009). The Pacific oyster (Crassostrea gigas) was <strong>in</strong>tentionally <strong>in</strong>troducedto western <strong>Europe</strong> <strong>in</strong> the 1960s for commercial harvest<strong>in</strong>g <strong>in</strong> oyster farms but soon it escaped <strong>and</strong> establisheditself close to the farms. Its reproduction depends on water temperatures be<strong>in</strong>g between 18 <strong>and</strong> 23 °C overseveral weeks. Follow<strong>in</strong>g unusual warm summer months <strong>in</strong> 1989–1990, the species spread along the northernAtlantic coasts where <strong>in</strong>creased water temperatures have allowed successful reproduction, larval development <strong>and</strong>recruitment (Dutertre et al., 2010; Nehr<strong>in</strong>g, 2011).140 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsProjectionsThe northward <strong>and</strong> uphill movement of manyanimal species is projected to cont<strong>in</strong>ue this century.Threatened endemics with specific dem<strong>and</strong>s <strong>in</strong>ecotope or a small distribution range will generallybe at greatest risk, <strong>in</strong> particular if they face migrationbarriers (Lemo<strong>in</strong>e et al., 2007; Dirnböck et al., 2011).The difficulty of modell<strong>in</strong>g species dispersal is oneof the major uncerta<strong>in</strong>ties <strong>in</strong> projections of <strong>change</strong>s<strong>in</strong> species distribution. Dispersal is constra<strong>in</strong>ed notonly by a species' ability to move but also by factorssuch as habitat <strong>fr</strong>agmentation <strong>and</strong> the availability<strong>and</strong> migratory ability of host plants or preyorganisms. It is likely that many species will not beable to track climate <strong>change</strong> because of dispersalconstra<strong>in</strong>ts (Schweiger et al., 2008, 2012).The limited dispersal ability of many reptiles <strong>and</strong>amphibians, comb<strong>in</strong>ed with the <strong>fr</strong>agmentation ofhabitats, is very likely to reduce <strong>and</strong> isolate theranges of many of those species, particularly <strong>in</strong> theIberian Pen<strong>in</strong>sula <strong>and</strong> parts of Italy (Araújo et al.,2006; Hickl<strong>in</strong>g et al., 2006) (Map 3.16). Similar resultswere found <strong>in</strong> a comprehensive study that assessedthe future distribution of <strong>Europe</strong>an butterflies <strong>in</strong>2050 <strong>and</strong> 2080 under three different climate <strong>change</strong>scenarios (Settele et al., 2008). The study shows thatclimate <strong>change</strong> poses a considerable additional riskto <strong>Europe</strong>an butterflies (Map 3.17). The risk variesconsiderably under different emissions scenarios<strong>and</strong> assumptions regard<strong>in</strong>g dispersal ability. Underthe high-emission SRES A1FI scenario, 24 % of themodelled butterfly species lose more than 95 % oftheir present climatic niche by 2080 <strong>and</strong> 78 % loseMap 3.16Projected impact of climate <strong>change</strong> on the potential distribution of reptiles <strong>and</strong>amphibians <strong>in</strong> 2050Note:Projected data based on the Generalised L<strong>in</strong>ear Model map us<strong>in</strong>g the HadCM3 A2 scenario for 2020–2050 are compared withthe current situation.Source: Data based on Araújo et al., 2006.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012141


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsmore than 50 %. These numbers are reduced to 3 %<strong>and</strong> 48 %, respectively, for the low-emission SRESB1 scenario. The risk is much lower, <strong>and</strong> much moresimilar across scenarios, by 2050.A study on the effects of projected climate <strong>change</strong>on 181 terrestrial mammals <strong>in</strong> the Mediterraneanregion projected significant decl<strong>in</strong>es <strong>in</strong> speciesrichness (e.g. 68 % of all mammals) dur<strong>in</strong>g thiscentury even if movement through <strong>fr</strong>agmentedl<strong>and</strong>scapes was possible (Maiorano et al., 2011).A study based on bioclimatic envelope modell<strong>in</strong>gfor 120 native terrestrial <strong>Europe</strong>an mammals undertwo climate scenarios showed that 1 % or 5–9 % of<strong>Europe</strong>an mammals risk ext<strong>in</strong>ction (Lev<strong>in</strong>sky et al.,2007). Thirty-two to 46 % or 70–78 % may lose morethan 30 % of their current distribution (Map 3.18).Another study simulated phylogenetic diversityfor plants, birds <strong>and</strong> mammals <strong>in</strong> an ensemble offorecasts for 2020, 2050 <strong>and</strong> 2080 (Thuiller et al.,2011). The results show that the tree of life facesa homogenisation across the cont<strong>in</strong>ent due to areduction <strong>in</strong> phylogenetic diversity for southern<strong>Europe</strong> (where immigration <strong>fr</strong>om northern A<strong>fr</strong>icawas not considered) <strong>and</strong> ga<strong>in</strong>s <strong>in</strong> high latitudes <strong>and</strong>altitudes.In polar regions, projected reductions <strong>in</strong> sea icewill dramatically reduce habitat for polar bears,seals <strong>and</strong> other ice-dependent species. In additionto climate <strong>change</strong>, these top predators will also beaffected by decl<strong>in</strong><strong>in</strong>g fish stocks.Map 3.17Projected <strong>change</strong>s <strong>in</strong> the climate niche space of the Small Tortoise shellNote:Future distribution of climate niche space of the Small Tortoise shell (Aglais urticae) under the A2 climate <strong>change</strong> scenario<strong>and</strong> two future years (2020–2050 left, 2060–2080 right). Dark grey areas show space that rema<strong>in</strong>s suitable, dark redareas space that is lost <strong>and</strong> green areas show space that could be ga<strong>in</strong>ed under full dispersal. Northern parts of <strong>Europe</strong> areexpected to rema<strong>in</strong> suitable for the Small Tortoiseshell under all scenarios, but large areas of central <strong>Europe</strong> would becomeunsuitable. The worst case loss is 55 % of its climatic niche by 2080 under no dispersal or 46 % loss under full dispersal.Source: Settele et al., 2008. See also http://pensoftonl<strong>in</strong>e.net/biorisk/<strong>in</strong>dex.php/journal/issue/current/showT.142 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsMap 3.18 Changes <strong>in</strong> mammalian species richness by 2100-30°B1-20°-10°0°10°20°30°40°50°60°70°-30°A2-20°-10°0°10°20°30°40°50°60°70°60°60°50°50°50°50°40°40°40°40°0 500 0° 1000 150010°km20°30°40°0 500 0° 1000 150010°km20°30°40°Projected <strong>change</strong> <strong>in</strong> mammalian species richness by 2100Outside coverageNo data– 100 to – 80– 80 to – 60– 60 to – 40– 40 to – 20– 20 to 00 to 5050 to 100100 to 150150 to 200< 200Note:Changes under two climate scenarios B1 (left) <strong>and</strong> A2 (right) <strong>in</strong> a 10' resolution.Source: Lev<strong>in</strong>sky et al., 2007.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012143


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.4.6 Species <strong>in</strong>teractionsRelevanceThe effects of climate <strong>change</strong> on s<strong>in</strong>gle species willhave consequences for all levels of biodiversity,rang<strong>in</strong>g <strong>fr</strong>om the genetic level to ecosystems(Walther, 2010). These higher-level <strong>impacts</strong>are of particular importance s<strong>in</strong>ce biodiversity,besides be<strong>in</strong>g realised as a value <strong>in</strong> its own right,is <strong>in</strong>creas<strong>in</strong>gly acknowledged as provid<strong>in</strong>g<strong>in</strong>dispensable ecosystems services for humanwell-be<strong>in</strong>g (Díaz et al., 2006). Biodiversity can beregarded as 'our collective life <strong>in</strong>surance', as noted<strong>in</strong> the 'EU biodiversity strategy to 2020' (<strong>Europe</strong>anCommission, 2011). The importance of wild speciesfor the function<strong>in</strong>g of ecosystems is manifold <strong>and</strong>largely driven by biotic <strong>and</strong> abiotic <strong>in</strong>teractions. Animproved underst<strong>and</strong><strong>in</strong>g of how climate <strong>change</strong>will affect these <strong>in</strong>teractions <strong>in</strong> novel communitiesestablished under a novel climate can be utilisedto assess the ext<strong>in</strong>ction risk of species of particularconservation concern. It will also enhance ourabilities to assess <strong>and</strong> mitigate potential negativeeffects on ecosystem functions <strong>and</strong> services.Despite <strong>in</strong>creas<strong>in</strong>g knowledge about effects ofclimate <strong>change</strong> on pairwise species <strong>in</strong>teractions<strong>and</strong> on complete ecological networks, quantitativeassessments of these effects are still very uncerta<strong>in</strong>.A robust conclusion <strong>fr</strong>om exist<strong>in</strong>g observational <strong>and</strong>theoretical studies is that specialist species are atmuch higher risk <strong>fr</strong>om effects on species <strong>in</strong>teractionsthan generalist species (Menéndez et al., 2007;Schweiger et al., 2010).Community <strong>change</strong>s triggered by climate <strong>change</strong>can lead to disruptions or alterations of currentlyexist<strong>in</strong>g species <strong>in</strong>teractions <strong>and</strong> the generation ofnovel species <strong>in</strong>teractions. Such <strong>change</strong>s impacton mechanisms such as competition, herbivory,predation, parasitism, poll<strong>in</strong>ation <strong>and</strong> symbiosisby affect<strong>in</strong>g ecological match<strong>in</strong>g among <strong>in</strong>teract<strong>in</strong>gspecies (Berg et al., 2010; Anton<strong>in</strong>ka et al., 2011).These ecological matches can be def<strong>in</strong>ed by spatialor temporal synchronicity of occurrence (Parmesan,2006; Schweiger et al., 2008; Hegl<strong>and</strong> et al., 2009;Van der Putten et al., 2010), or by energetic,morphological <strong>and</strong> behavioural dem<strong>and</strong>s (Corbet,2000; Schweiger et al., 2010).<strong>Climate</strong> <strong>change</strong> can also affect disturbance regimes,such as wildfires <strong>and</strong> storms. Forest fires as animportant example of such a disturbance regime arediscussed <strong>in</strong> Section 4.2.3.Past trendsDirect observations of the effects of recent climate<strong>change</strong> on competition are scarce <strong>and</strong> are generallythought not to have led directly to the ext<strong>in</strong>ctionof species <strong>in</strong> <strong>Europe</strong> (Davis, 2003). However,<strong>in</strong>dependent studies have shown that observed<strong>change</strong>s <strong>in</strong> the distribution <strong>and</strong> abundance ofPopulus species (a group of trees that are relativelyweak competitors) <strong>in</strong> the Late Glacial (ca. 13 000–10 000 years ago) <strong>and</strong> <strong>in</strong> the 20th century could onlybe expla<strong>in</strong>ed when the effects of climate <strong>change</strong> onits competitors were taken <strong>in</strong>to account (Peros et al.,2008; Van Bogaert et al., 2009).<strong>Climate</strong> <strong>change</strong> has already lead to temporalmismatches between species that depend on eachother for feed<strong>in</strong>g <strong>and</strong> for poll<strong>in</strong>ation. For example,the egg hatch of the w<strong>in</strong>ter moth (Operophterabrumata) has advanced more than the budburst dateof its larval food plant, the pedunculate oak (Quercusrobur), over the past two decades, with potentiallysevere consequences for its fitness (Visser <strong>and</strong> Both,2005; Parmesan, 2006; van Asch <strong>and</strong> Visser, 2007;Both et al., 2009). Similarly, over the last 30 years,the occurrence of the honey bee (Apis mellifera) <strong>and</strong>the Small White butterfly (Pieris rapae) <strong>in</strong> relationto the flower<strong>in</strong>g of crucial host plants has <strong>change</strong>dKey messages: 3.4.6 Species <strong>in</strong>teractions• <strong>Climate</strong> <strong>change</strong> is affect<strong>in</strong>g the <strong>in</strong>teraction of species that depend on each other for food or otherreasons. It can disrupt established <strong>in</strong>teractions but also generate novel ones.• Negative effects on s<strong>in</strong>gle species are often amplified by <strong>change</strong>s <strong>in</strong> <strong>in</strong>teractions with other species, <strong>in</strong>particular for specialist species.• The impact of species <strong>in</strong>teractions on ecosystems services depends on whether disrupted <strong>in</strong>teractionscan be buffered by system-<strong>in</strong>tr<strong>in</strong>sic properties or by novel organisms.144 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systems<strong>fr</strong>om about 10 days <strong>and</strong> 5 days later to about 25 days<strong>and</strong> 15 days earlier, respectively (Gordo <strong>and</strong> Sanz,2005). Such temporal mismatches can severelyimpact poll<strong>in</strong>ation activities <strong>and</strong> the seed set ofplants (Kudo et al., 2004). <strong>Climate</strong> <strong>change</strong> has alsodisrupted several predator-prey relationships, suchas between <strong>in</strong>sectivorous birds <strong>and</strong> their <strong>in</strong>sectprey (Visser et al., 2006). In some cases, differential<strong>change</strong>s <strong>in</strong> phenology can also strengthen exist<strong>in</strong>gor create new predator-prey relationships, asobserved by an <strong>in</strong>creased predation pressure of thefat dormouse (Glis glis) on several songbirds <strong>in</strong> theCzech Republic (Adamík <strong>and</strong> Král, 2008).<strong>Climate</strong> <strong>change</strong> can also generate new <strong>in</strong>teractions<strong>in</strong> novel communities (Schweiger et al., 2010). Inextreme cases, this can lead to severely transformedecosystems where new species dom<strong>in</strong>ate. Such<strong>change</strong>s are particularly obvious at higher latitudes<strong>and</strong> altitudes, where grow<strong>in</strong>g <strong>and</strong> reproductiveperiods are prolonged or where previous thermalconstra<strong>in</strong>ts are released with climate warm<strong>in</strong>g. For<strong>in</strong>stance, the range of the p<strong>in</strong>e processionary moth(Thaumetopoea pityocampa) is no longer limited bytemperature <strong>in</strong> many regions, enabl<strong>in</strong>g the species toexp<strong>and</strong> its exist<strong>in</strong>g range <strong>in</strong>to new areas <strong>and</strong> caus<strong>in</strong>gserious damage <strong>in</strong> p<strong>in</strong>e forests (Rob<strong>in</strong>et et al., 2007).ProjectionsA study on butterflies <strong>in</strong> <strong>Europe</strong> showed that mostspecies are not limited by the distribution of theirlarval host plants <strong>and</strong> thus appear rather <strong>in</strong>sensitiveto spatial mismatch<strong>in</strong>g with their hosts under futureclimate <strong>change</strong>. However, there are exceptionssuch as the Portuguese Dappled White butterfly(Euchloe tagis), which is projected to lose 20–48 % ofits current area based on the loss of suitable climaticconditions by 2080, <strong>and</strong> 50–74 % when a reducedavailability of host plants was also considered(Schweiger et al., 2012) (Map 3.19). These f<strong>in</strong>d<strong>in</strong>gshighlight the need for a better underst<strong>and</strong><strong>in</strong>gof ecological <strong>in</strong>teractions that mediate speciesresponses to climate <strong>change</strong>.Map 3.19Projected spatial mismatches of the Portuguese Dappled White butterfly <strong>and</strong> itshost plants-10°Current 208060°50°40°!!! !!!! !!!!!!!!!!!!!!! ! ! ! ! !!!!!!0° 10° 20° 30° 40° 50° 60°70°!!!! !!! ! !! ! !! ! ! !!!!0 5000°1000 1500 10° km20°30°50°40°40°60°50°40°-10°0°10°20°0 5000°1000 1500 10° km30°20°40°50°30°60°70°50°40°40°Projected spatial mismatches of the Portuguese Dappled White butterfly (Euchloe tagis) <strong>and</strong> its host plantsSuitable climate space for the host plantsSuitable climate space for the butterflySuitable area for both (butterfly <strong>and</strong> host plant)!Currently observed distributionNot suitableOutside coverageNote:Spatial mismatches of the Portuguese Dappled White butterfly (Euchloe tagis) <strong>and</strong> its host plants under the BAMBUscenario (climate: A2) for 2050–2080. Green, suitable climate space for the host plants; yellow, suitable climate spacefor the butterfly; orange, suitable area for both butterfly <strong>and</strong> host plants; open circles, currently observed distribution.BAMBU: Bus<strong>in</strong>ess-As-Might-Be-Usual scenario.Source: Schweiger et al., 2012.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012145


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.5 Soil3.5.1 OverviewRelevanceThere has been an <strong>in</strong>creas<strong>in</strong>g awareness of theimportance of soil as a regulator of water, theglobal carbon <strong>and</strong> nutrient cycles <strong>and</strong> as a habitat<strong>in</strong> its own right. Topical debates on issues such asfood security, biofuel production <strong>and</strong> flood<strong>in</strong>g ofurban areas have demonstrated the need for bettersoil management <strong>and</strong> <strong>in</strong>creased underst<strong>and</strong><strong>in</strong>g ofcomplex <strong>in</strong>teractions between the key soil functions.This is particularly true when consider<strong>in</strong>g additionalpressures result<strong>in</strong>g <strong>fr</strong>om climate <strong>change</strong>.Soil is the product of the <strong>in</strong>terplay betweenbiological <strong>and</strong> environmental factors, pr<strong>in</strong>cipally,the geological substrate, liv<strong>in</strong>g organisms, relief,time <strong>and</strong> climate. Variations <strong>in</strong> precipitation levels<strong>and</strong> temperature regimes determ<strong>in</strong>e weather<strong>in</strong>gmechanisms <strong>and</strong> rates of soil formation. In parallel,climate drives soil-form<strong>in</strong>g processes such asleach<strong>in</strong>g, the mobilisation of clay m<strong>in</strong>erals <strong>and</strong>nutrient ex<strong>change</strong> mechanisms, which give soilstheir characteristic properties. In addition, climate<strong>in</strong>fluences the soil by determ<strong>in</strong><strong>in</strong>g the mass <strong>and</strong>distribution of plant communities <strong>and</strong> the rate ofdecay of soil organic matter — the driver of manysoil functions. Changes <strong>in</strong> climatic conditions(e.g. ris<strong>in</strong>g temperatures, chang<strong>in</strong>g precipitation<strong>in</strong>tensity <strong>and</strong> <strong>fr</strong>equency) are thus likely to affectsoil-related bio-geophysical processes <strong>and</strong>environmental services that are regulated by soil.Soil as part of the soil-water-plant system <strong>in</strong>fluencesplant growth <strong>and</strong> evapotranspiration through thesupply of water to roots, water quality throughbuffer<strong>in</strong>g capacity <strong>and</strong> transport of excess nutrientsor contam<strong>in</strong>ants, run-off through retention capacity,<strong>and</strong> <strong>change</strong>s <strong>in</strong> groundwater recharge. Changes <strong>in</strong>ra<strong>in</strong>fall <strong>in</strong>tensity <strong>and</strong> patterns can either <strong>in</strong>creaseor decrease soil water contents. Excess water cantrigger l<strong>and</strong>slides, or <strong>in</strong>duce saturation overl<strong>and</strong>flow <strong>and</strong> soil erosion. While <strong>in</strong>creased levelsof precipitation can lead to soils accumulat<strong>in</strong>gsoil organic carbon, the converse will be true forareas where precipitation is reduced; whereasprolonged drought can lead to <strong>in</strong>hibited microbialactivity, which reduces the rate of organic matterbreakdown. Loss of organic matter can br<strong>in</strong>g abouta loss of fertility <strong>and</strong> biodiversity, <strong>and</strong> destruction ofsoil structure. Loss of soil structure <strong>in</strong> turn can makesoils more susceptible to compaction, or can result <strong>in</strong>an <strong>in</strong>creased risk of w<strong>in</strong>d erosion, or reduced waterretention capacity, with <strong>in</strong>creased flood risk dur<strong>in</strong>gextreme ra<strong>in</strong>fall events.In addition, there is an <strong>in</strong>verse aspect to the soilclimaterelationships, as soil can also have animpact on global climate. GHG fluxes <strong>fr</strong>om soilsare considerable. Natural soil systems tend to actas carbon reservoirs. Soil is the largest terrestrialcarbon pool <strong>and</strong> presents an important factor<strong>in</strong> future climate <strong>change</strong> projections. In mostecosystems, the amount of carbon locked <strong>in</strong> thesoil is significantly greater than <strong>in</strong> above-groundbiomass. Permanently <strong>fr</strong>ozen soils <strong>in</strong> the northernpolar region contribute significantly to the carbonstock due to cryoturbation, which drags surfaceorganic matter deeper <strong>in</strong>to the soil body, oftenaccumulat<strong>in</strong>g on the perma<strong>fr</strong>ost table. Extensivepeatl<strong>and</strong>s are an additional reservoir. The thaw<strong>in</strong>gof the perma<strong>fr</strong>ost could lead to a substantial releaseof GHGs, <strong>in</strong>clud<strong>in</strong>g CH 4with a much higher globalwarm<strong>in</strong>g potential than CO 2, <strong>in</strong>to the atmospherethat would further <strong>in</strong>crease global warm<strong>in</strong>g (Joneset al., 2010). These important carbon reservoirsneed special attention because the boreal <strong>and</strong> arcticregions where they occur are expected to warmmore rapidly than the rest of the world. Dra<strong>in</strong>ageKey messages: 3.5 Soil• Soil functions <strong>and</strong> the services soils provide to society are <strong>in</strong>creas<strong>in</strong>gly recognised. <strong>Climate</strong> is one ofthe key factors driv<strong>in</strong>g soil development; at the same time, soils are important for mitigat<strong>in</strong>g climate<strong>change</strong> through their capacity for stor<strong>in</strong>g organic carbon.• Projections for soil <strong>in</strong>dicators are limited. The expected effects of climate <strong>change</strong> are complex, <strong>and</strong>depend on dist<strong>in</strong>ct drivers <strong>and</strong> their <strong>in</strong>teraction. For some <strong>in</strong>dicators, the different aspects of climate<strong>change</strong> can have opposite effects, which make estimation of future <strong>change</strong>s particularly difficult.• <strong>Europe</strong>an-wide <strong>in</strong>formation to help policymakers identify appropriate adaptation measures is limited.This calls for establish<strong>in</strong>g harmonised monitor<strong>in</strong>g networks for collect<strong>in</strong>g data.146 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemscan convert peatl<strong>and</strong>s <strong>in</strong>to carbon sources ratherthan s<strong>in</strong>ks. Likewise, <strong>in</strong>appropriate cultivation ofsoils <strong>and</strong> the application of nitrogen fertilisers canlead to emissions of CO 2<strong>and</strong> N 2O.Selection of <strong>in</strong>dicatorsThis section presents three <strong>in</strong>dicators that measureimportant climate-sensitive properties of soils:• Soil organic carbon: Soil organic carbon ispotentially impacted by climate <strong>change</strong>, <strong>and</strong><strong>change</strong>s <strong>in</strong> soil organic carbon <strong>in</strong> turn have animpact on climate <strong>change</strong>.• Soil erosion: Soil erosion by water <strong>and</strong> w<strong>in</strong>d isalready affect<strong>in</strong>g soils across <strong>Europe</strong>, therebythreaten<strong>in</strong>g many of the services soils provide.as a consequence of climate <strong>change</strong> may <strong>in</strong>dicate anext<strong>in</strong>ction risk of local soil biota (see Box 3.4).F<strong>in</strong>ally, when document<strong>in</strong>g <strong>and</strong> modell<strong>in</strong>g <strong>change</strong>s<strong>in</strong> soil <strong>in</strong>dicators, it is not always feasible to tracklong-term <strong>change</strong>s (signal) given the significantshort-term variations (noise) that may occur(e.g. seasonal variations of soil organic carbon dueto l<strong>and</strong> management). Therefore, detected <strong>change</strong>scannot always be attributed to climate <strong>change</strong>effects, as climate is only one of the soil-form<strong>in</strong>gfactors. Human activity can be more determ<strong>in</strong><strong>in</strong>g,both <strong>in</strong> measured/modelled past trends (basel<strong>in</strong>e),<strong>and</strong> if projections <strong>in</strong>clud<strong>in</strong>g all possible factors wereto be made. The latter po<strong>in</strong>ts towards the critical roleof effective l<strong>and</strong> use <strong>and</strong> management <strong>in</strong> mitigat<strong>in</strong>g<strong>and</strong> adapt<strong>in</strong>g to climate <strong>change</strong>.• Soil moisture: Soil moisture is a key factorfor ecosystems, which is determ<strong>in</strong>ed by soilcharacteristics, vegetation <strong>and</strong> climatic factors.Furthermore, the f<strong>in</strong>al Section presents <strong>in</strong>formationon the effects of negative precipitation anomalies ona major soil function, biomass production. Anothersoil-related <strong>in</strong>dicator, which relates to <strong>change</strong>s <strong>in</strong>perma<strong>fr</strong>ost, is presented <strong>in</strong> Section 2.3.6.Uncerta<strong>in</strong>ty <strong>and</strong> data gapsQuantitative <strong>in</strong>formation, <strong>fr</strong>om both observations<strong>and</strong> modell<strong>in</strong>g, on the past trends <strong>and</strong> <strong>impacts</strong>of climate <strong>change</strong> on soil <strong>and</strong> the various relatedfeedbacks, is very limited. For example, data havebeen collected <strong>in</strong> forest soil surveys (e.g. ICP Forests,BioSoil <strong>and</strong> FutMon projects), but issues with surveyquality <strong>in</strong> different countries makes comparisonbetween countries (<strong>and</strong> between surveys) difficult(Hiederer <strong>and</strong> Durrant, 2010). To date, assessmentshave relied ma<strong>in</strong>ly on local case studies thathave analysed how soil reacts under chang<strong>in</strong>gclimate <strong>in</strong> comb<strong>in</strong>ation with evolv<strong>in</strong>g agricultural<strong>and</strong> forest practices. Thus, <strong>Europe</strong>an-widesoil <strong>in</strong>formation to help policymakers identifyappropriate adaptation measures is absent. There isan urgent need to establish harmonised monitor<strong>in</strong>gnetworks to provide a better <strong>and</strong> more quantitativeunderst<strong>and</strong><strong>in</strong>g of this system. Currently, EU-widesoil <strong>in</strong>dicators are (partly) based on estimates <strong>and</strong>modell<strong>in</strong>g studies, most of which have not yet beenvalidated. Nevertheless, <strong>in</strong> absence of quantification,other evidences can <strong>in</strong>dicate emerg<strong>in</strong>g risks. Forexample, shift<strong>in</strong>g tree l<strong>in</strong>es <strong>in</strong> mounta<strong>in</strong>ous regions<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012147


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.5.2 Soil organic carbonRelevanceBiomass is generated by photosynthesis b<strong>in</strong>d<strong>in</strong>gCO 2<strong>fr</strong>om the atmosphere. If not harvested, thisbiomass becomes <strong>in</strong>corporated <strong>in</strong>to the soil afterthe death of the plant <strong>and</strong> through root senescence.The dead plant material is decomposed with thehelp of micro-organisms <strong>and</strong> CO 2is aga<strong>in</strong> released<strong>in</strong>to the atmosphere. Part of the carbon is converted<strong>in</strong>to stable (humic) soil organic matter. However,if soil is water-saturated due to poor dra<strong>in</strong>age,the breakdown of carbon is slowed down <strong>and</strong>only highly specialised microorganisms are ableto decompose carbon, releas<strong>in</strong>g CO 2<strong>and</strong> CH 4.Nevertheless, wet soils <strong>and</strong> peatl<strong>and</strong>s act overall asimportant carbon reservoirs.Low levels of organic carbon <strong>in</strong> the soil are generallydetrimental to soil fertility, water retention capacity<strong>and</strong> resistance to soil compaction. Increases <strong>in</strong>surface water run-off can lead to erosion while lackof cohesion <strong>in</strong> the soil can <strong>in</strong>crease the risk of erosionby w<strong>in</strong>d. Other effects of lower organic carbonlevels are a reduction <strong>in</strong> biodiversity (see Box 3.4)<strong>and</strong> an <strong>in</strong>creased susceptibility to acid or alkal<strong>in</strong>econditions.Past trendsAround 45 % of the m<strong>in</strong>eral soils <strong>in</strong> <strong>Europe</strong> havelow or very low organic carbon content (0–2 %) <strong>and</strong>45 % have a medium content (2–6 %) (Louwagieet al., 2009). Map 3.20 shows that low levels areparticularly evident <strong>in</strong> southern <strong>Europe</strong> where 74 %of the l<strong>and</strong> is covered by soils that have less than 2 %of organic carbon <strong>in</strong> the topsoil (0–30 cm) (Zdruliet al., 2004). However, areas of low organic carboncan be found almost everywhere, <strong>in</strong>clud<strong>in</strong>g <strong>in</strong> someparts of more northern countries such as Belgium,France, Germany, Norway <strong>and</strong> the United K<strong>in</strong>gdom.More than 50 % of EU soil organic carbon stocks areto be found <strong>in</strong> peatl<strong>and</strong>s (Schils et al., 2008).In general, most soils across <strong>Europe</strong> are likely tobe accumulat<strong>in</strong>g carbon. Except under dra<strong>in</strong>ageconditions, grassl<strong>and</strong> soils accumulate carbon,although there is a high uncerta<strong>in</strong>ty as to the rate.Cropl<strong>and</strong>s generally act as a carbon source, althoughexist<strong>in</strong>g estimates are varied. Forest soils generallyaccumulate carbon (estimates range <strong>fr</strong>om 17 to39 million tonnes per year (Schils et al., 2008)).However, estimates of <strong>Europe</strong>an CO 2, CH 4<strong>and</strong> N 2Ofluxes between 2000 <strong>and</strong> 2005, us<strong>in</strong>g both top-downestimates based on atmospheric observations <strong>and</strong>bottom-up estimates derived <strong>fr</strong>om ground-basedKey messages: 3.5.2 Soil organic carbon• Soil carbon stocks <strong>in</strong> the EU-27 are around 75 billion tonnes of carbon; around 50 % of which is located<strong>in</strong> Irel<strong>and</strong>, F<strong>in</strong>l<strong>and</strong>, Sweden <strong>and</strong> the United K<strong>in</strong>gdom (because of the large area of peatl<strong>and</strong>s <strong>in</strong> thesecountries).• The largest emissions of CO 2<strong>fr</strong>om soils are due to conversion (dra<strong>in</strong>age) of organic soils, <strong>and</strong> amount to20–40 tonnes of CO 2per hectare per year. The most effective option to manage soil carbon <strong>in</strong> order tomitigate climate <strong>change</strong> is to preserve exist<strong>in</strong>g stocks <strong>in</strong> soils, <strong>and</strong> especially the large stocks <strong>in</strong> peat<strong>and</strong> other soils with a high content of organic carbon.• On average, soils <strong>in</strong> <strong>Europe</strong> are most likely to be accumulat<strong>in</strong>g carbon. Soils under grassl<strong>and</strong> <strong>and</strong>forests are a carbon s<strong>in</strong>k (estimated up to 80 million tonnes of carbon per year) whereas soils underarable l<strong>and</strong> are a smaller carbon source (estimated <strong>fr</strong>om 10–40 million tonnes of carbon per year).• The effects of climate <strong>change</strong> on soil organic carbon <strong>and</strong> soil respiration are complex, <strong>and</strong> depend ondist<strong>in</strong>ct climatic <strong>and</strong> biotic drivers. However, they lack rigorous support<strong>in</strong>g datasets.• <strong>Climate</strong> <strong>change</strong> is expected to have an impact on soil carbon <strong>in</strong> the long term, but <strong>change</strong>s <strong>in</strong> the shortterm will more likely be driven by l<strong>and</strong> management practices <strong>and</strong> l<strong>and</strong> use <strong>change</strong>.148 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsmeasurements, suggest that CH 4emissions <strong>fr</strong>omlivestock <strong>and</strong> N 2O emissions <strong>fr</strong>om arable agricultureare fully compensated by the CO 2s<strong>in</strong>k provided byforests <strong>and</strong> grassl<strong>and</strong>s (Schulze et al., 2009).ProjectionsSoil organic carbon levels are determ<strong>in</strong>ed ma<strong>in</strong>ly bythe balance between net primary production (NPP)<strong>fr</strong>om vegetation <strong>and</strong> the rate of decomposition of theorganic material. While climate <strong>change</strong> is expectedto have an impact on soil carbon <strong>in</strong> the long term,<strong>change</strong>s <strong>in</strong> the short term will more likely be drivenby l<strong>and</strong> management practices <strong>and</strong> l<strong>and</strong>-use <strong>change</strong>,which can mask the evidence of climate <strong>change</strong>impact on soil carbon stocks. Figure 3.14 providesa flowchart with possible pathways for soil organiccarbon (SOC) <strong>and</strong> CO 2development <strong>in</strong> temperatem<strong>in</strong>eral soils, depend<strong>in</strong>g on the dist<strong>in</strong>ct climatic <strong>and</strong>biotic drivers. However, the effects of climate <strong>change</strong>on soil are complex <strong>and</strong> lack rigorous support<strong>in</strong>gdatasets.Map 3.20Variations <strong>in</strong> topsoil organic carbon content across <strong>Europe</strong>-30°-20°-10°0°10°20°30°40°50°60°70°Topsoil organic carboncontent(%)0–1.060°1.0–2.02.0–6.06.0–12.550°12.5–25.025.0–35.0> 35.050°No dataOutside coverage40°40°0°10°20°30°40°© 2010 JRC, <strong>Europe</strong>an CommissionNote:The darker regions correspond to soils with high values of organic carbon. The darkest colours, especially <strong>in</strong> Estonia,Fennosc<strong>and</strong><strong>in</strong>avia, Irel<strong>and</strong> <strong>and</strong> the United K<strong>in</strong>gdom, denote peatl<strong>and</strong>s.Source: <strong>Europe</strong>an Soil Database v2.0 (soil), Global Historical Climatology Network (http://www.ncdc.noaa.gov/oa/climate/ghcndaily)(climate), Cor<strong>in</strong>e L<strong>and</strong> Cover 1990 <strong>and</strong> USGS Global L<strong>and</strong> Cover Characterization (http://edc2.usgs.gov/glcc/glcc.php)(l<strong>and</strong> cover); see (Jones et al., 2005, 2012).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012149


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsFigure 3.14 Qualitative <strong>impacts</strong> of climatic <strong>and</strong> biotic variables on temperate m<strong>in</strong>eral soilsExpected <strong>impacts</strong> of climate <strong>change</strong> on m<strong>in</strong>eral soilsIncreasedatmosphericCO 2Warm<strong>in</strong>gDrierWetterIncreasedNPPIncreasedNPPDecreaseNPPIncreasedNPPIncreased litter /SOM productionIncreased litter /SOM productionIncreaseddecompositionDecreased litter /SOM productionIncreased litter /SOM productionIncreased soilwater levelsIncreasedmicrobial activityIncreasedm<strong>in</strong>eralisationIncreasedm<strong>in</strong>eralisationReduceddecomposition> SOC> SOC < SOC < SOC > SOCIncreased soilrespirationDecreased litter /Increased soilSOM productionrespirationIncreasedcultivation> CO 2< SOC> CO 2Increased soilrespirationReduceddecomposition> SOC> CO 2> CH 4Increasederosion< SOC< SOCNote:SOC: soil organic carbon; SOM: soil organic matter; NPP: net primary productivity; CO 2: carbon dioxide; CH 4: methane.Decomposition is the post-mortem breakdown of organic matter <strong>in</strong>to constituent elements or secondary substances throughchemical reactions <strong>and</strong> biological activity. M<strong>in</strong>eralisation is the conversion of an element <strong>fr</strong>om an organic to an <strong>in</strong>organic stateas a result of microbial activity.Box 3.4The <strong>impacts</strong> of climate <strong>change</strong> on soil biota <strong>and</strong> biodiversitySoil biodiversity is vulnerable to <strong>impacts</strong> of climate <strong>change</strong> on terrestrial systems. However, quantify<strong>in</strong>g thepossible effects is problematic given the difficulties <strong>in</strong> measur<strong>in</strong>g, mapp<strong>in</strong>g <strong>and</strong> monitor<strong>in</strong>g soil biotic communities.A recent meta-analysis of responses of soil biota to global <strong>change</strong>, based on manipulative experiments(Blank<strong>in</strong>ship et al., 2011), noted that ris<strong>in</strong>g CO 2concentration will positively affect microflora <strong>and</strong> -fauna, whilemesofauna tend to respond negatively. The effect of the amount of precipitation is positively correlated withthe abundance of soil biota, but differs between ecosystems (soil biota abundance affected <strong>in</strong> forests, but not <strong>in</strong>grassl<strong>and</strong>s or heathl<strong>and</strong>s). Warm<strong>in</strong>g will negatively affect the abundance of soil biota <strong>in</strong> sites characterised by lowmean annual temperature <strong>and</strong> mean annual precipitation (see Figure 3.14).There is some prelim<strong>in</strong>ary evidence that species are migrat<strong>in</strong>g to previously colder regions ow<strong>in</strong>g to warmertemperatures <strong>and</strong> an earlier start to spr<strong>in</strong>g. In mounta<strong>in</strong>ous regions, where evidence suggests that the tree l<strong>in</strong>e ismigrat<strong>in</strong>g upwards, we can assume that the below-ground ecoregions will follow s<strong>in</strong>ce soil biota are <strong>in</strong>timately tiedto plant communities (Sylva<strong>in</strong> <strong>and</strong> Wall, 2011). However, the amount of habitat for those species adapted to liv<strong>in</strong>gabove the tree l<strong>in</strong>e will become reduced as the mounta<strong>in</strong> summits provide an upper limit to the amount of verticalmigration that can occur. Observations <strong>and</strong> quantifications of this vertical migration for vascular plants have foundmigration rates of between 1 <strong>and</strong> 4 vertical metres every 10 years. Rates for soil biota are expected to be similar.150 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.5.3 Soil erosionRelevanceSoil erosion by water has substantial on-site as wellas off-site effects. By remov<strong>in</strong>g fertile topsoil, erosionreduces soil productivity <strong>and</strong>, where soils areshallow, may lead to the loss of the entire soil body.Soil removed by run-off, for example dur<strong>in</strong>g a largestorm, will create mudflows that will accumulatebelow the eroded areas, <strong>in</strong> severe cases block<strong>in</strong>groadways or dra<strong>in</strong>age channels <strong>and</strong> <strong>in</strong>undat<strong>in</strong>gbuild<strong>in</strong>gs. Erosion can lead to restrictions on l<strong>and</strong>use <strong>and</strong> l<strong>and</strong> value, damage to <strong>in</strong><strong>fr</strong>astructure,pollution of water bodies, <strong>and</strong> negative effects onhabitats <strong>and</strong> biodiversity.Based on potential loss of wheat yields, aconservative estimate of the consequence of erosionby water for the EU-27 (exclud<strong>in</strong>g Greece, Cyprus<strong>and</strong> Malta), reveals that agricultural productionequivalent to a value of EUR 3.5 billion could beunder threat. If the economic loss of soil carbonis also added, the figure would be even higher. In2011, the removal of topsoil by strong w<strong>in</strong>ds afterplough<strong>in</strong>g <strong>in</strong> very dry conditions <strong>in</strong> Germanycaused a traffic accident that killed 10 people <strong>and</strong><strong>in</strong>jured at least 100 others; this is an <strong>in</strong>direct effect ofw<strong>in</strong>d erosion (see Section 4.6).<strong>Climate</strong> <strong>change</strong> will <strong>in</strong>fluence soil erosion processes,ma<strong>in</strong>ly triggered by extreme ra<strong>in</strong>fall events <strong>and</strong>droughts. Excess water due to <strong>in</strong>tense or prolongedprecipitation can cause tremendous damage tosoil through sheet wash, gully erosion <strong>and</strong> evenl<strong>and</strong>slides. However, if soils are managed well,resistance to erosion by water <strong>and</strong>/or w<strong>in</strong>d can beimproved considerably.Past trendsSystematic <strong>and</strong> harmonised data on trends <strong>in</strong>soil erosion across <strong>Europe</strong> are lack<strong>in</strong>g. EU-wideestimates of erosion are based on modell<strong>in</strong>gstudies, most of which have not yet been validated.A recent exercise has estimated that the surfacearea <strong>in</strong> the EU‐27 (exclud<strong>in</strong>g Greece, Cyprus <strong>and</strong>Malta ( 54 )) affected by water erosion is 130 millionha. Almost 20 % is subjected to soil loss <strong>in</strong> excessof 10 tonnes/ha/year (Bosco et al., forthcom<strong>in</strong>g;Jones et al., 2012) (Map 3.21). Most models conta<strong>in</strong>a ra<strong>in</strong>fall erosivity factor <strong>and</strong> a soil erodibilityfactor that reflect average precipitation conditions.Typical values for these factors may <strong>in</strong>adequatelyrepresent the impact of extreme ra<strong>in</strong>fall. Therefore,the uncerta<strong>in</strong>ty of modelled erosion risk is high,especially at local level.The situation for w<strong>in</strong>d erosion is similar to erosionby water <strong>in</strong> that systematic data collections arelimited. W<strong>in</strong>d erosion is estimated to be a seriousproblem <strong>in</strong> many parts of eastern Engl<strong>and</strong>,north‐west France, northern Germany, parts ofthe Iberian Pen<strong>in</strong>sula <strong>and</strong> eastern Netherl<strong>and</strong>s(Map 3.22).Key messages: 3.5.3 Soil erosion• 105 million ha, or 16 % of <strong>Europe</strong>'s total l<strong>and</strong> area (exclud<strong>in</strong>g Russia) were estimated to be affected bywater erosion <strong>in</strong> the 1990s.• Some 42 million ha. of l<strong>and</strong> were estimated to be affected by w<strong>in</strong>d erosion, of which around 1 millionha. were categorised as be<strong>in</strong>g severely affected.• A recent new model of soil erosion by water has estimated the surface area affected <strong>in</strong> the EU-27 at130 million ha. Almost 20 % is subjected to soil loss <strong>in</strong> excess of 10 tonnes/ha/year.• Increased variations <strong>in</strong> ra<strong>in</strong>fall pattern <strong>and</strong> <strong>in</strong>tensity will make soils more susceptible to water erosion,with off-site effects of soil erosion <strong>in</strong>creas<strong>in</strong>g.• Increased aridity will make f<strong>in</strong>er-textured soils more vulnerable to w<strong>in</strong>d erosion, especially ifaccompanied by a decrease <strong>in</strong> soil organic matter levels.• Reliable quantitative projections for soil erosion are not available( 54 ) Lack<strong>in</strong>g Cor<strong>in</strong>e L<strong>and</strong> Cover data for 2006.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012151


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsMap 3.21Estimated soil erosion by water <strong>in</strong> <strong>Europe</strong>-30°-20°-10°0°10°20°30°40°50°60°70°Erosion by water, 2006Tonnes/ha/year< 0.50.5–260°2–55–1050°10–2020–50> 50No data50°Outside coverage40°40°0 500 1000 1500 km0°10°20°30°40°© 2012 JRC, <strong>Europe</strong>an CommissionNote:Calculated by the Revised Universal Soil Loss Equation (RUSLE).While the overall patterns of erosion are generally sound, the validation of erosion data can be challeng<strong>in</strong>g. The datapresented are currently be<strong>in</strong>g validated through comparisons with national datasets <strong>and</strong> expert judgement. In this sense,zoom<strong>in</strong>g <strong>in</strong> on a specific locality can give the impression of a situation that differs <strong>fr</strong>om reality. In addition, the model used <strong>in</strong>this exercise does not consider localised <strong>in</strong>tense precipitation.Source: <strong>Europe</strong>an Soil Database v2.0 (soil), E-OBS (http://www.agu.org/pubs/crossref/2008/2008JD010201.shtml) (climate), Cor<strong>in</strong>eL<strong>and</strong> Cover 2006 (l<strong>and</strong> cover); see Bosco et al., forthcom<strong>in</strong>g; Jones et al., 2012.152 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsMap 3.22Estimated number of days for w<strong>in</strong>d erosion-30°-20°-10°0°10°20°30°40°50°60°70°Erosion by w<strong>in</strong>d,1961–1990Number of erosive daysper year< 0.2560°0.25–0.500.5–11–250°> 2No erosionOutside coverage50°40°40°0 500 1000 1500 km0°10°20°30°40°© 2012 JRC, <strong>Europe</strong>an CommissionNote:Calculations are based on w<strong>in</strong>d velocity <strong>and</strong> soil texture.While the overall patterns of erosion are generally sound, the validation of erosion data can be challeng<strong>in</strong>g. The datapresented are currently be<strong>in</strong>g validated through comparisons with national datasets <strong>and</strong> expert judgement. In this sense,zoom<strong>in</strong>g <strong>in</strong> on a specific locality can give the impression of a situation that differs <strong>fr</strong>om reality.Source: <strong>Europe</strong>an Soil Database v2.0 (soil), PRUDENCE (prudence.dmi.dk) (climate), Cor<strong>in</strong>e L<strong>and</strong> Cover 2000 (l<strong>and</strong> cover).ProjectionsSoil erosion rates <strong>and</strong> extent are expected toreflect chang<strong>in</strong>g patterns of l<strong>and</strong>-use <strong>and</strong> climate<strong>change</strong>. Variations <strong>in</strong> ra<strong>in</strong>fall patterns <strong>and</strong> <strong>in</strong>tensity(see Section 2.2.5), <strong>and</strong> <strong>in</strong> storm <strong>fr</strong>equency <strong>and</strong><strong>in</strong>tensity may affect erosion risk either directly,through the physical displacement of soil particles,or <strong>in</strong>directly, through remov<strong>in</strong>g protective plantcover. However, reliable quantitative projections arecurrently not available.Drier regions are likely to be more susceptible tow<strong>in</strong>d erosion than wetter regions. In this context itis <strong>in</strong>terest<strong>in</strong>g to compare Map 3.22 <strong>and</strong> Map 3.24.The apparent <strong>in</strong>ability of ecosystems to recover <strong>fr</strong>omrepeated drought may result <strong>in</strong> <strong>in</strong>creased risk ofw<strong>in</strong>d erosion.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012153


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.5.4 Soil moistureRelevanceThe ability of soil to reta<strong>in</strong> moisture is a significantaspect <strong>in</strong> the water cycle <strong>and</strong> is crucial for primaryproduction (see Section 4.1). The amount of waterheld <strong>in</strong> soil is <strong>in</strong>tr<strong>in</strong>sically l<strong>in</strong>ked to our climate<strong>and</strong> depends largely on texture, structure <strong>and</strong> theamount of soil organic matter. Variations <strong>in</strong> anyof these variables will affect soil water retentioncharacteristics <strong>and</strong> ultimately soil functions(e.g. groundwater recharge).By absorb<strong>in</strong>g many times its weight <strong>in</strong> water, soilorganic matter <strong>in</strong> m<strong>in</strong>eral soils can contribute to themitigation of flood<strong>in</strong>g follow<strong>in</strong>g extreme ra<strong>in</strong>fallevents while stor<strong>in</strong>g water <strong>in</strong> the event of more<strong>fr</strong>equent <strong>and</strong> severe droughts (Reicosky, 2005;Louwagie et al., 2009). At low soil carbon contents,an <strong>in</strong>crease <strong>in</strong> carbon content leads to an <strong>in</strong>crease<strong>in</strong> water retention <strong>in</strong> coarse soils <strong>and</strong> a decrease<strong>in</strong> f<strong>in</strong>e‐textured soils. At high carbon contents, an<strong>in</strong>crease <strong>in</strong> carbon content results <strong>in</strong> an <strong>in</strong>crease<strong>in</strong> water retention for all soil textures (Rawlset al., 2003).While water-hold<strong>in</strong>g capacity is an <strong>in</strong>tr<strong>in</strong>sic soilproperty based on clay content, structure <strong>and</strong>organic matter levels, water content is highlydynamic <strong>and</strong> is the balance between ra<strong>in</strong>fall <strong>and</strong>evapotranspiration. Changes <strong>in</strong> temperature <strong>and</strong>precipitation patterns <strong>and</strong> <strong>in</strong>tensity will affectevapotranspiration, soil moisture <strong>and</strong> <strong>in</strong>filtrationrates. Conversely, there is also observationalevidence that soil moisture deficit exacerbateshot extremes <strong>in</strong> south-eastern <strong>Europe</strong> (Hirschiet al., 2011).Past trendsThere is no clear <strong>in</strong>dication on past trends for waterretention across the EU due to a lack of systematic<strong>and</strong> harmonised data. Several models have beenused to assess soil moisture, but these are oftenreliant on secondary <strong>in</strong>put data (i.e. observedprecipitation <strong>and</strong> temperature). Direct observationsof spatially explicit distribution of soil moistureacross <strong>Europe</strong> are just evolv<strong>in</strong>g. Satellite-bornesensors, such as the <strong>Europe</strong>an Space Agency's (ESA)Soil Moisture <strong>and</strong> Ocean Sal<strong>in</strong>ity (SMOS) missionor EUMETSAT's ASCAT Scatterometer, are able tomake global observations of surface soil moisture(Map 3.23). Such data, along with numericalmodell<strong>in</strong>g techniques, have the potential to be used<strong>in</strong> deriv<strong>in</strong>g composite maps of soil moisture levelsdown to a depth of 1–2 m, the so-called root zone.Thus, this <strong>in</strong>formation could help <strong>in</strong> assess<strong>in</strong>g the<strong>impacts</strong> of climatic variations, <strong>in</strong>clud<strong>in</strong>g droughts,on for example ecosystem production.ProjectionsProjections <strong>in</strong>dicate greater droughts <strong>in</strong> someareas, which might lead to substantial reductions <strong>in</strong>summertime soil moisture, <strong>and</strong> marked <strong>in</strong>crease <strong>in</strong>ra<strong>in</strong>fall <strong>in</strong> others (Calanca et al., 2006). In particular<strong>in</strong> the Mediterranean area of southern <strong>Europe</strong>, soilwater content is expected to decl<strong>in</strong>e, <strong>and</strong> saturationconditions are expected to be <strong>in</strong>creas<strong>in</strong>gly rare<strong>and</strong> restricted to periods <strong>in</strong> w<strong>in</strong>ter <strong>and</strong> spr<strong>in</strong>g(García‐Ruiz et al., 2011). Harmonised time seriesdata on relevant soil properties should be developedas should models to assess key parameters suchas subsoil available water capacity <strong>and</strong> topsoilmoisture levels. Satellite <strong>in</strong>formation should be<strong>in</strong>tegrated with representative observed data, alsofor projections.Key messages: 3.5.4 Soil moisture• Soil water retention is a major soil hydrological property that governs soil function<strong>in</strong>g <strong>in</strong> ecosystems <strong>and</strong>greatly affects soil management.• There is no clear <strong>in</strong>dication on past trends for water retention across the EU due to a lack of systematic<strong>and</strong> harmonised data.• Water retention capacity <strong>and</strong> soil moisture content will be affected by ris<strong>in</strong>g temperatures <strong>and</strong> by adecl<strong>in</strong>e <strong>in</strong> soil organic matter due to both <strong>change</strong>s <strong>in</strong> climate <strong>and</strong> l<strong>and</strong> management.• Projections (for 2071–2100) show a general reduction <strong>in</strong> summer soil moisture over most of <strong>Europe</strong>,significant reductions <strong>in</strong> the Mediterranean region, <strong>and</strong> <strong>in</strong>creases <strong>in</strong> the north-eastern part of <strong>Europe</strong>.• Ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g water retention capacity <strong>and</strong> porosity are important to reduce the <strong>impacts</strong> of <strong>in</strong>tense ra<strong>in</strong>fall<strong>and</strong> droughts, which are projected to become more <strong>fr</strong>equent <strong>and</strong> severe.154 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsMap 3.23Global surface soil moisture content based on remote sens<strong>in</strong>g dataGlobal surface soil moisturecontent based on remotesens<strong>in</strong>g data%+ 55.0+ 48.5+ 44.0+ 38.5+ 33.0+ 27.5+ 22.0+ 16.5+ 11.0+ 5.5+ 0Note:SMOS provides a global image of surface soil moisture every three days; this map covers the period 8–15 June 2010. Yellowcolours <strong>in</strong>dicate drier soil surfaces; blue colours denote wetter conditions. SMOS can measure soil moisture levels to anaccuracy of 4 % at a spatial resolution of 50 km — about the same as detect<strong>in</strong>g a teaspoonful of water mixed <strong>in</strong>to a h<strong>and</strong>fulof dry soil.Source: <strong>Europe</strong>an Space Agency (ESA) (http://www.esa.<strong>in</strong>t/SPECIALS/smos/SEMSKJ6CTWF_0.html <strong>and</strong> http://www.cesbio.ups-tlse.<strong>fr</strong>/SMOS_blog/wp-content/uploads/2012/02/reprocessed-global-2012.png).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012155


<strong>Climate</strong> <strong>impacts</strong> on environmental systems3.5.5 Biomass production <strong>and</strong> recurrent negativeprecipitation anomaliesSoil degradation processes are global phenomenathat cause a reduc<strong>in</strong>g biophysical capacity <strong>in</strong> thel<strong>and</strong> to susta<strong>in</strong>ably produce ecosystems services <strong>and</strong>economic value. They are l<strong>in</strong>ked to complex patternsof l<strong>and</strong> use <strong>and</strong> climatic variations. Observed<strong>change</strong>s <strong>in</strong> primary productivity of ecosystemsare a strong <strong>in</strong>dication of the onset or <strong>in</strong>creas<strong>in</strong>g<strong>vulnerability</strong> to soil degradation. As discussed<strong>in</strong> Section 3.5.2, organic matter is an importantdriver of several soil functions. A reduction <strong>in</strong> theproduction of biomass will have an impact on soilorganic matter levels <strong>and</strong> related nutrient cycles. Inparticular the parallel reduction <strong>in</strong> the vegetativecover <strong>and</strong> plant roots will <strong>in</strong>crease the risk of bothw<strong>in</strong>d <strong>and</strong> water erosion.Climatic conditions <strong>and</strong> <strong>in</strong>tensive agriculture makethe Mediterranean region particularly vulnerableto soil degradation. Ever more dem<strong>and</strong><strong>in</strong>g l<strong>and</strong> useleads to water scarcity, limit<strong>in</strong>g several ecosystemservices normally provided by soil. Amplifiedvariability of aridity limits the ability of <strong>in</strong>tensivelyused human-environment systems to recover <strong>fr</strong>omspecific pressures such as sal<strong>in</strong>isation, drought<strong>and</strong> fire (see Section 4.1). In turn, this leads to an<strong>in</strong>crease <strong>in</strong> soil degradation <strong>and</strong>, <strong>in</strong> extreme cases,desertification.Map 3.24 presents areas affected by three recurrentnegative precipitation anomalies over a period of10 years, <strong>and</strong> as such provides a first <strong>in</strong>dicationof areas under risk of soil degradation. Many soiltypes <strong>in</strong> the Mediterranean region already showsymptoms of degradation (i.e. shallow depth,low soil organic carbon content, prone to erosion,low fertility, <strong>in</strong>creased sal<strong>in</strong>ity <strong>and</strong> forest fires)which, together with the hot, dry climate of theregion, hampers the assessment of ongo<strong>in</strong>g l<strong>and</strong>degradation.While the effects of reduced biomass productionmay be dramatic <strong>in</strong> the Mediterranean region,the consequences on soil resources may also beevident <strong>in</strong> more temperate or humid regions.Recent observations suggest that Mediterraneanecosystems are generally resilient <strong>and</strong> resistant todroughts. However, where human activity becomestoo <strong>in</strong>tense, degradation is more pronounced<strong>and</strong> can possibly become irreversible. Map 3.24illustrates that, even after recurrent droughts, theMediterranean environment recovers well, apart<strong>fr</strong>om areas that are under <strong>in</strong>tense agriculturaluse <strong>and</strong> where the erosion risk is already high(see Map 3.21).Projections are very limited. Increases <strong>in</strong> therecurrence of extreme events, such as droughts,comb<strong>in</strong>ed with risks, such as forest fires, <strong>and</strong> anexpansion of <strong>in</strong>tensive l<strong>and</strong> use will probably <strong>in</strong>ducehigher levels of degradation, <strong>in</strong>clud<strong>in</strong>g soil erosion<strong>and</strong>, <strong>in</strong> turn, reduce the quality <strong>and</strong> availability ofnatural resources <strong>and</strong> ecosystems services.Key messages: 3.5.5 Biomass production <strong>and</strong> recurrent negative precipitation anomalies• Biomass production is a major soil function <strong>and</strong> its decl<strong>in</strong>e can be used as a proxy for soil degradation.• Recurrence of negative precipitation anomalies is lead<strong>in</strong>g to an <strong>in</strong>creased risk of soil degradation dueto the reduction of biomass, which is the ma<strong>in</strong> source of soil organic matter <strong>and</strong> protects soils <strong>fr</strong>omerosion.• Soil degradation processes are already <strong>in</strong>tense <strong>in</strong> several parts of the Mediterranean <strong>and</strong> <strong>in</strong> some partsof central-eastern <strong>Europe</strong>.• In many cases, <strong>in</strong>creased human pressure aggravated by climate <strong>change</strong> <strong>impacts</strong> can lead toirreversible soil degradation processes with adverse social, economic <strong>and</strong> environmental effects.• Increase <strong>in</strong> recurrence of extreme climate events, such as droughts, comb<strong>in</strong>ed with specific hazards,such as fires <strong>and</strong> both natural <strong>and</strong> human-<strong>in</strong>duced sal<strong>in</strong>ity, <strong>and</strong>/or an expansion of <strong>in</strong>tensive l<strong>and</strong> use orl<strong>and</strong>-use <strong>change</strong>, will probably <strong>in</strong>duce higher levels of l<strong>and</strong> degradation.156 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on environmental systemsMap 3.24Areas affected by three drought events <strong>and</strong> the effect of these events onecosystem productivitya)-30°60°-20°-10°0°10°20°30°PCA40.10– 0.1– 0.21999200020012002200320042005200620072008200970°201050°Areas affected by threerecent drought events(2000, 2003 <strong>and</strong> 2006)WeakModerateMediumStrongNo effectOutside coverage50°40°40°0 500 1000 1500 km0°10°20°© 2012 JRC, <strong>Europe</strong>an30°Commission40°b)-30°-20°-10°0°10°20°30°40°50°60°70°Effect of three recentdrought events (2000,2003 <strong>and</strong> 2006) onecosystem productivity60°Strong negativeNegativeNo effect50°No recent droughtOutside coverage50°40°40°0 500 1000 1500 km0°10°20°30°40°© 2012 JRC, <strong>Europe</strong>an CommissionNote: a) Areas affected by three recurrent negative precipitation anomalies (drought events, as <strong>in</strong>dicated <strong>in</strong> the graph: 2000, 2003<strong>and</strong> 2006 dur<strong>in</strong>g the period 1999–2010 based on the st<strong>and</strong>ardised precipitation <strong>in</strong>dex, a statistical correlation to recurrentanomalies through pr<strong>in</strong>cipal component analysis (PCA) of time series climatic data). The prevalence of recurrent negativeprecipitation anomalies <strong>in</strong> the Mediterranean area is very apparent. Such anomalies can also affect areas with traditionallyhumid climates.b) The effect of these events on ecosystem productivity based on a <strong>change</strong> <strong>in</strong>dex: the stead<strong>in</strong>ess <strong>in</strong>dex. This <strong>in</strong>dex addressesboth the long-term trend <strong>and</strong> the net <strong>change</strong> of primary production calculated <strong>fr</strong>om satellite time series over the period<strong>in</strong> which the recurrent negative precipitation anomalies occurred (1999–2010). The areas <strong>in</strong> red denote regions with astronger likelihood of decreased productivity relative to the ecosystem capacity.Source: Ivits, 2012 (personal communication).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012157


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4 <strong>Climate</strong> <strong>impacts</strong> on socio‐economicsystems <strong>and</strong> health4.1 Agriculture4.1.1 OverviewRelevanceThe cultivation of crops, their productivity <strong>and</strong>quality, are directly dependent on different climaticfactors. <strong>Climate</strong> <strong>change</strong> is already hav<strong>in</strong>g an impacton agriculture (Peltonen-Sa<strong>in</strong>io et al., 2010; Olesenet al., 2011), <strong>and</strong> has been attributed as one of thefactors contribut<strong>in</strong>g to stagnation <strong>in</strong> wheat yields<strong>in</strong> parts of <strong>Europe</strong> despite cont<strong>in</strong>ued progress <strong>in</strong>crop breed<strong>in</strong>g (Brisson et al., 2010). <strong>Climate</strong> <strong>change</strong>is expected to cont<strong>in</strong>ue to affect agriculture <strong>in</strong> thefuture (Olesen et al., 2011), <strong>and</strong> the effects will varygreatly <strong>in</strong> space across <strong>Europe</strong> (Trnka, Olesen, et al.,2011), but they may also <strong>change</strong> over time (Trnka,Eitz<strong>in</strong>ger, et al., 2011). It is generally accepted thatproductivity will <strong>in</strong>crease <strong>in</strong> northern <strong>Europe</strong> dueto a lengthened grow<strong>in</strong>g season <strong>and</strong> an extensionof the <strong>fr</strong>ost-<strong>fr</strong>ee period (Olesen <strong>and</strong> B<strong>in</strong>di, 2002).In southern <strong>Europe</strong>, climate <strong>change</strong> is likely tonegatively affect the productivity of crops <strong>and</strong>their suitability <strong>in</strong> certa<strong>in</strong> regions primarily dueto extreme heat events <strong>and</strong> an overall expectedreduction <strong>in</strong> precipitation <strong>and</strong> water availability(Iglesias et al., 2010). Year-to-year variability <strong>in</strong>yields is generally expected to <strong>in</strong>crease throughout<strong>Europe</strong>, due to extreme climatic events <strong>and</strong> otherfactors, <strong>in</strong>clud<strong>in</strong>g pests <strong>and</strong> diseases (Ferrise et al.,2011; Kristensen et al., 2011).There is a large variation across the <strong>Europe</strong>ancont<strong>in</strong>ent <strong>in</strong> climatic conditions, soils, l<strong>and</strong>use, <strong>in</strong><strong>fr</strong>astructure, <strong>and</strong> political <strong>and</strong> economicconditions, which greatly <strong>in</strong>fluence theresponsiveness to climatic <strong>change</strong> (Olesen et al.,2011; Trnka, Olesen, et al., 2011). Intensive farm<strong>in</strong>gsystems <strong>in</strong> western <strong>and</strong> central <strong>Europe</strong> generallyhave a low sensitivity to climate <strong>change</strong>, because agiven <strong>change</strong> <strong>in</strong> temperature or ra<strong>in</strong>fall has modestimpact, <strong>and</strong> because farmers have resources to adaptby chang<strong>in</strong>g management (Reidsma et al., 2010).However, there may be considerable difference <strong>in</strong>adaptive capacity between cropp<strong>in</strong>g systems <strong>and</strong>farms depend<strong>in</strong>g on their specialisation <strong>and</strong> otherfarm characteristics (Reidsma <strong>and</strong> Ewert, 2008).Selection of <strong>in</strong>dicatorsThe follow<strong>in</strong>g <strong>in</strong>dicators were chosen to evaluateselected <strong>impacts</strong> of climate <strong>change</strong> on agriculture:• Grow<strong>in</strong>g season for agricultural crops: This<strong>in</strong>dicator determ<strong>in</strong>es the suitability forgrow<strong>in</strong>g agricultural crops as determ<strong>in</strong>ed bytemperature.• Agrophenology: This <strong>in</strong>dicator traces <strong>change</strong>s <strong>in</strong>the tim<strong>in</strong>g of the cycle of agricultural crops.• Water-limited crop productivity: This <strong>in</strong>dicatorconsiders potential <strong>change</strong>s <strong>in</strong> crop productivityKey messages: 4.1 Agriculture• An <strong>in</strong>crease <strong>in</strong> the duration of the thermal grow<strong>in</strong>g season has led to northward expansion of areassuitable for several crops.• Changes <strong>in</strong> crop phenology have been observed, such as advancement of flower<strong>in</strong>g <strong>and</strong> harvest dates <strong>in</strong>cereals. These <strong>change</strong>s are expected to cont<strong>in</strong>ue <strong>in</strong> many regions, lead<strong>in</strong>g to reductions <strong>in</strong> gra<strong>in</strong> yield.• Recent heat waves <strong>and</strong> droughts have greatly reduced the yield of some crops. The projected <strong>in</strong>crease<strong>in</strong> the occurrence of such events would be particularly detrimental for crop production <strong>in</strong> central <strong>and</strong>southern <strong>Europe</strong>, where such events will occur more <strong>fr</strong>equently <strong>and</strong> add to current stresses.• <strong>Climate</strong> <strong>change</strong> is projected to improve the suitability for grow<strong>in</strong>g crops <strong>in</strong> northern <strong>Europe</strong> <strong>and</strong> toreduce crop productivity <strong>in</strong> large parts of southern <strong>Europe</strong>. Projections based on different climatemodels agree on the direction of the <strong>change</strong>, but with some variation <strong>in</strong> its magnitude.158<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthcaused by <strong>change</strong>s <strong>in</strong> temperature, ra<strong>in</strong>fall <strong>and</strong>atmospheric CO 2concentration.• Water requirement for irrigation: This <strong>in</strong>dicatorestimates the water needs for ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>gmaximum crop yields, thereby assess<strong>in</strong>g theadaptation needs of agricultural water supply.The <strong>in</strong>dicators were chosen based on variouscriteria, <strong>in</strong>clud<strong>in</strong>g the availability of relevant dataacross <strong>Europe</strong> <strong>and</strong> the ability to identify the ma<strong>in</strong>drivers of agricultural <strong>change</strong> to <strong>in</strong>form the designof adaptation policy. Figure 4.1 illustrates the l<strong>in</strong>ksbetween these <strong>in</strong>dicators <strong>and</strong> the driv<strong>in</strong>g climatic<strong>and</strong> atmospheric variables. Impacts on livestock arenot explicitly <strong>in</strong>cluded <strong>in</strong> this report for two reasons.First, effects on livestock are mostly <strong>in</strong>direct throughfeed production, <strong>and</strong> as such effects are coveredwith the <strong>in</strong>dicators cover<strong>in</strong>g water-limited cropproductivity <strong>and</strong> water requirement for irrigation.Second, there is little direct evidence of climate<strong>change</strong> effects on livestock, except for <strong>change</strong>s <strong>in</strong>livestock diseases related to climate <strong>change</strong>, <strong>and</strong> thishas not been <strong>in</strong>cluded as an <strong>in</strong>dicator.Figure 4.1Grow<strong>in</strong>gseasonL<strong>in</strong>ks between climatic drivers<strong>and</strong> agricultural <strong>in</strong>dicatorsCropproductivityAgrophenologyCO 2concentrationWaterrequirementData quality <strong>and</strong> data needsEffects of climate <strong>change</strong> on the grow<strong>in</strong>g season <strong>and</strong>crop phenology can be monitored directly, partlythrough remote sens<strong>in</strong>g (grow<strong>in</strong>g season) <strong>and</strong>partly through monitor<strong>in</strong>g of specific phenologicalevents such as flower<strong>in</strong>g. There is no commonmonitor<strong>in</strong>g network for crop phenology <strong>in</strong> <strong>Europe</strong>,<strong>and</strong> data on this therefore has to be based onvarious national record<strong>in</strong>gs, often <strong>fr</strong>om agronomicexperiments (Olesen et al., 2012). Crop yield <strong>and</strong>crop requirements for irrigation are not only affectedby climate <strong>change</strong>, but also by management <strong>and</strong>a range of socio‐economic factors. The effects ofclimate <strong>change</strong> on these factors therefore have tobe estimated <strong>in</strong>directly us<strong>in</strong>g agrometeorological<strong>in</strong>dicators <strong>and</strong> through statistical analyses betweenclimatic variables <strong>and</strong> factors such as crop yield.The projections of climate <strong>change</strong> <strong>impacts</strong> <strong>and</strong>adaptation <strong>in</strong> agriculture rely heavily on modell<strong>in</strong>g,<strong>and</strong> it needs to be recognised that there is often acha<strong>in</strong> of uncerta<strong>in</strong>ty <strong>in</strong>volved <strong>in</strong> the projectionsgo<strong>in</strong>g <strong>fr</strong>om emission scenario, through climatemodell<strong>in</strong>g, downscal<strong>in</strong>g <strong>and</strong> to assessments of<strong>impacts</strong> us<strong>in</strong>g an impact model (Olesen et al.,2007). The extent of all these uncerta<strong>in</strong>ties is rarelyquantified, even though some studies have assesseduncerta<strong>in</strong>ties related to <strong>in</strong>dividual components.The crop modell<strong>in</strong>g community has only recentlystarted address<strong>in</strong>g uncerta<strong>in</strong>ties related to modell<strong>in</strong>g<strong>impacts</strong> of climate <strong>change</strong> on crop yield <strong>and</strong>effect of possible adaptation options (Rötter et al.,2011), <strong>and</strong> so far only few studies have <strong>in</strong>volvedlivestock systems. Future studies also need to better<strong>in</strong>corporate effects of extreme climate events as wellas biotic hazards (e.g. pests <strong>and</strong> diseases).TemperaturePrecipitation<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012159


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.1.2 Grow<strong>in</strong>g season for agricultural cropsRelevanceThe thermal grow<strong>in</strong>g season is a basic agrological<strong>in</strong>dicator for where <strong>and</strong> when crops can potentiallybe grown, assum<strong>in</strong>g sufficient water, radiation<strong>and</strong> suitable soils. The duration of the grow<strong>in</strong>gseason is for a large part of <strong>Europe</strong> def<strong>in</strong>ed by theduration of the period with temperatures abovea certa<strong>in</strong> threshold. The duration of the <strong>fr</strong>ost-<strong>fr</strong>eeseason is considered the period favourable forgrowth of many plant species (e.g. for flower<strong>in</strong>g).However, active growth of plants requires highertemperatures, <strong>and</strong> for most of the temperate cropsgrown <strong>in</strong> <strong>Europe</strong> a threshold temperature of 5 °Ccan be used (Trnka, Olesen, et al., 2011).Past trendsIncreas<strong>in</strong>g air temperatures are significantlyaffect<strong>in</strong>g the duration of the grow<strong>in</strong>g season overlarge areas of <strong>Europe</strong> (Scheif<strong>in</strong>ger et al., 2003). Manystudies report a lengthen<strong>in</strong>g of the period betweenthe occurrence of the last spr<strong>in</strong>g <strong>fr</strong>ost <strong>and</strong> the firstautumn <strong>fr</strong>ost. This has occurred <strong>in</strong> recent decades<strong>in</strong> several areas <strong>in</strong> <strong>Europe</strong> <strong>and</strong> more generally <strong>in</strong> theNorthern Hemisphere (Trnka, Brázdil, et al., 2011).Studies of <strong>change</strong>s <strong>in</strong> the grow<strong>in</strong>g season basedon remote sens<strong>in</strong>g show a diverse spatial pattern<strong>in</strong> <strong>Europe</strong> (Schwartz et al., 2006). Across all of<strong>Europe</strong>, the delay <strong>in</strong> end of the season of the period1992–2008 by 8.2 days was more significant thanthe advanced start of the season by 3.2 days (Jeonget al., 2011).An analysis of the <strong>fr</strong>ost-<strong>fr</strong>ee period <strong>in</strong> <strong>Europe</strong>between 1975 <strong>and</strong> 2010 shows a general <strong>and</strong> clear<strong>in</strong>creas<strong>in</strong>g trend. The trend is not uniformly spreadover <strong>Europe</strong>. The highest rates of <strong>change</strong> (largerthan 0.8 days per year) were recorded along theAtlantic shores, <strong>in</strong> the British Isles, Denmark, centralparts of <strong>Europe</strong>, central Italy, central <strong>and</strong> southernSpa<strong>in</strong>, <strong>and</strong> <strong>in</strong> Turkey (Map 4.1). There are also areas<strong>in</strong> <strong>Europe</strong> with an apparent trend for reductions <strong>in</strong>the <strong>fr</strong>ost-<strong>fr</strong>ee period; however, these trends are notsignificant.ProjectionsA warm<strong>in</strong>g of the climate is expected ma<strong>in</strong>ly toresult <strong>in</strong> an earlier start of the grow<strong>in</strong>g season <strong>in</strong>spr<strong>in</strong>g <strong>and</strong> a longer duration <strong>in</strong> autumn (Jeonget al., 2011). A longer grow<strong>in</strong>g season allows theproliferation of species that have optimal conditionsfor growth <strong>and</strong> development <strong>and</strong> can thus <strong>in</strong>creasetheir productivity or number of generations(e.g. crop yield, <strong>in</strong>sect population). This will <strong>in</strong> manycases also allow for <strong>in</strong>troduction of new speciespreviously unfavourable due to low temperaturesor short grow<strong>in</strong>g seasons. This is relevant for<strong>in</strong>troduction of new crops, but will also affect thespread<strong>in</strong>g of weeds, <strong>in</strong>sect pests <strong>and</strong> diseases (Rooset al., 2010).A further lengthen<strong>in</strong>g of the grow<strong>in</strong>g season aswell as a northward shift of species is projectedas a result of the projected further <strong>in</strong>crease <strong>in</strong>temperature across <strong>Europe</strong> (Olesen et al., 2011). Thedate of last <strong>fr</strong>ost <strong>in</strong> spr<strong>in</strong>g is projected to advanceby about 5–10 days by 2030 <strong>and</strong> by 10–15 days byKey messages: 4.1.2 Grow<strong>in</strong>g season for agricultural crops• The thermal grow<strong>in</strong>g season of a number of agricultural crops <strong>in</strong> <strong>Europe</strong> has lengthened by 11.4 dayson average <strong>fr</strong>om 1992 to 2008. The delay <strong>in</strong> the end of the grow<strong>in</strong>g season was more pronounced thanthe advance of its start.• The grow<strong>in</strong>g season is projected to <strong>in</strong>crease further throughout most of <strong>Europe</strong> due to earlier onset ofgrowth <strong>in</strong> spr<strong>in</strong>g <strong>and</strong> later senescence <strong>in</strong> autumn.• The projected lengthen<strong>in</strong>g of the thermal grow<strong>in</strong>g season would allow a northward expansion ofwarm‐season crops to areas that were not previously suitable.160 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.1 Change <strong>in</strong> the number of <strong>fr</strong>ost-<strong>fr</strong>ee days per year dur<strong>in</strong>g the period 1975–2010-30°-20°-10°0°10°20°30°40°50°60°70°Rate of <strong>change</strong> ofgrow<strong>in</strong>g season length,1975–2010Frost-<strong>fr</strong>ee days/year< – 0.860°– 0.8 to – 0.4– 0.4 to 0.450°0.4 to 0.8> 0.8Statistical significance0.1050°No dataOutside coverage40°40°0 500 0° 1000 150010°km20°30°40°Source: MARS/STAT database.2050 throughout most of <strong>Europe</strong> (Trnka, Olesen,et al., 2011). The suitability for grow<strong>in</strong>g certa<strong>in</strong>crops will also depend on the total amount of heatreceived dur<strong>in</strong>g the grow<strong>in</strong>g season expressed asa temperature sum. Projections show the greatestabsolute <strong>in</strong>creases <strong>in</strong> temperature sum <strong>in</strong> southern<strong>Europe</strong>, whereas relative <strong>change</strong>s are much larger<strong>in</strong> northern than <strong>in</strong> southern <strong>Europe</strong> (Trnka, Olesen,et al., 2011).The extension of the grow<strong>in</strong>g season is expectedto be particularly beneficial <strong>in</strong> northern <strong>Europe</strong>,where new crops could be cultivated <strong>and</strong> wherewater availability is generally not restrict<strong>in</strong>g growth(Olesen et al., 2011). In parts of the Mediterraneanarea the cultivation of some crops may shift <strong>fr</strong>om thesummer season to the w<strong>in</strong>ter season, which couldoffset some of the negative <strong>impacts</strong> of heat waves<strong>and</strong> droughts dur<strong>in</strong>g summer (M<strong>in</strong>guez et al., 2007).Other areas of <strong>Europe</strong>, such as western France <strong>and</strong>parts of south-eastern <strong>Europe</strong>, will experience yieldreductions <strong>fr</strong>om hot <strong>and</strong> dry summers without thepossibility of shift<strong>in</strong>g the crop production <strong>in</strong>to thew<strong>in</strong>ter seasons.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012161


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.1.3 AgrophenologyRelevanceChanges <strong>in</strong> crop phenology provide importantevidence of responses to recent regional climate<strong>change</strong> (Menzel et al., 2003). Although phenological<strong>change</strong>s are often <strong>in</strong>fluenced by managementpractices, <strong>in</strong> particular sow<strong>in</strong>g date <strong>and</strong> choiceof cultivar, recent warm<strong>in</strong>g <strong>in</strong> <strong>Europe</strong> has clearlyadvanced a significant part of the agriculturalcalendar. Specific stages of growth (e.g. flower<strong>in</strong>g,gra<strong>in</strong> fill<strong>in</strong>g) are particularly sensitive to weatherconditions <strong>and</strong> critical for f<strong>in</strong>al yield. The tim<strong>in</strong>gof the crop cycle (agrophenology) determ<strong>in</strong>esthe productive success of the crop. In general, alonger crop cycle is strongly correlated with higheryields, s<strong>in</strong>ce a longer cycle permits better use of theavailable thermal energy, solar radiation <strong>and</strong> waterresources.Past trendsChanges <strong>in</strong> the phenological phases of severalperennial crops <strong>in</strong> <strong>Europe</strong>, such as the advance <strong>in</strong> thestart of the grow<strong>in</strong>g season of <strong>fr</strong>uit trees (2.3 days/10years), cherry tree blossom (2.0 days/10 years)<strong>and</strong> apple tree blossom (2.2 days/10 years), <strong>in</strong> l<strong>in</strong>ewith <strong>in</strong>creases of up to 1.4 °C <strong>in</strong> mean annual airtemperature have been observed <strong>in</strong> Germany dur<strong>in</strong>g1961–2000 (Chmielewski et al., 2004). Sow<strong>in</strong>g orplant<strong>in</strong>g dates of several agricultural crops havebeen advanced, for example by 5 days for potatoes<strong>in</strong> F<strong>in</strong>l<strong>and</strong> (1965–1999), 10 days for maize <strong>and</strong> sugarbeet <strong>in</strong> Germany (1961–2000) <strong>and</strong> 20 days for maize <strong>in</strong>France (1974–2003) (IPCC, 2007).An analysis of the modelled flower<strong>in</strong>g date forw<strong>in</strong>ter wheat <strong>in</strong> <strong>Europe</strong> between 1975 <strong>and</strong> 2010shows a general <strong>and</strong> clear <strong>in</strong>creas<strong>in</strong>g trend, whichis most pronounced <strong>in</strong> north-western <strong>Europe</strong>(Map 4.2). In parts of <strong>Europe</strong> the modelled flower<strong>in</strong>gdate has advanced by 0.3–0.5 days per year. Thismodelled advance <strong>in</strong> flower<strong>in</strong>g date probablyexceeds what is observed <strong>in</strong> reality, as day lengthresponses <strong>in</strong> the plants <strong>and</strong> farmers' choices ofcultivars with longer growth duration will reducethis response.ProjectionsWith the projected warm<strong>in</strong>g of the climate <strong>in</strong><strong>Europe</strong>, further reductions <strong>in</strong> the number of daysrequired for flower<strong>in</strong>g <strong>in</strong> cereals <strong>and</strong> maturity maybe expected throughout <strong>Europe</strong> (Map 4.3). Themodelled <strong>change</strong>s <strong>in</strong> flower<strong>in</strong>g dates <strong>in</strong> Map 4.3<strong>in</strong>clude the expected effects of <strong>change</strong>s <strong>in</strong> cultivarchoice on flower<strong>in</strong>g <strong>and</strong> maturity dates. S<strong>in</strong>cemany plants (<strong>in</strong>clud<strong>in</strong>g cereals) <strong>in</strong> <strong>Europe</strong> requirelong days to flower, the effect of warm<strong>in</strong>g on dateof flower<strong>in</strong>g is smaller than would otherwise beexpected. The flower<strong>in</strong>g date for w<strong>in</strong>ter wheat isprojected to show the greatest advance <strong>in</strong> westernparts of <strong>Europe</strong>, but with a large uncerta<strong>in</strong>ty dueto uncerta<strong>in</strong>ty <strong>in</strong> the underly<strong>in</strong>g climate <strong>change</strong>projections. The advance <strong>in</strong> maturity date is largerthan the advance <strong>in</strong> flower<strong>in</strong>g date, lead<strong>in</strong>g to ashorten<strong>in</strong>g of the gra<strong>in</strong> fill<strong>in</strong>g period, which willnegatively affect yields. An <strong>in</strong>dependent studywith a different phenology model <strong>and</strong> other climate<strong>change</strong> projections found similar advances <strong>in</strong>flower<strong>in</strong>g date for w<strong>in</strong>ter wheat for Engl<strong>and</strong> <strong>and</strong>Wales (14–16 days by 2050) (Semenov, 2009).Key messages: 4.1.3 Agrophenology• Flower<strong>in</strong>g of several perennial crops has advanced by about two days per decade <strong>in</strong> recent decades.• Changes <strong>in</strong> tim<strong>in</strong>g of crop phenology are affect<strong>in</strong>g crop production <strong>and</strong> the relative performance ofdifferent crop species <strong>and</strong> varieties.• The shorten<strong>in</strong>g of crop growth phases <strong>in</strong> many crops is expected to cont<strong>in</strong>ue. The shorten<strong>in</strong>g of thegra<strong>in</strong> fill<strong>in</strong>g phase of cereals <strong>and</strong> oilseed crops can be particularly detrimental to yield.162 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.2 Change of flower<strong>in</strong>g date for w<strong>in</strong>ter wheat (1975–2010)-30°-20°-10°0°10°20°30°40°50°60°70°Rate of <strong>change</strong> offlower<strong>in</strong>g date forw<strong>in</strong>ter wheat(1975–2010)Days/year60°< – 0.5– 0.5 to – 0.2– 0.2 to 0.250°0.2 to 0.5> 0.5No data50°Outside coverage40°40°0 500 0° 1000 150010°km20°30°40°Source: MARS/STAT database.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012163


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.3Projected <strong>change</strong> <strong>in</strong> dates of flower<strong>in</strong>g <strong>and</strong> maturation for w<strong>in</strong>ter wheat-30° -20°(A: KNMI)-10°0°10°20°30°40°50°60°70°-30° -20° -10°(B: KNMI)0°10°20°30°40°50°60°70°60°60°50°50°50°50°40°40°40°40°0°150010°km0 500 100020°30°40°0°150010°km0 500 100020°30°40°-30° -20°(A: HC)-10°0°10°20°30°40°50°60°70°-30° -20°(B: HC)-10°0°10°20°30°40°50°60°70°60°60°50°50°50°50°40°40°40°40°0°150010°km0 500 100020°30°40°0°150010°km0 500 100020°30°40°Projected <strong>change</strong> <strong>in</strong> dates of flower<strong>in</strong>g (A) <strong>and</strong> maturation (B) for w<strong>in</strong>ter wheatDays– 25 to – 20 – 20 to – 15 – 15 to – 10 – 10 to – 5 – 5 to 0 0 to 5 No data or Outsideno cropp<strong>in</strong>g basel<strong>in</strong>e coverageNote:Model estimated mean <strong>change</strong> <strong>in</strong> dates of flower<strong>in</strong>g <strong>and</strong> full maturation for w<strong>in</strong>ter wheat for the period 2031–2050 comparedwith 1975–1994 for the RACMO (KNMI) <strong>and</strong> HadRCM3 (Hadley Centre.HC) projections under the A1B emission scenario.Source: Fels-Klerx et al., 2012.164 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.1.4 Water-limited crop productivityRelevanceCrop biomass production derives <strong>fr</strong>om the capture<strong>and</strong> conversion of solar energy through the processof photosynthesis. However, this process maybe restricted by low (or high) temperatures orby water limitations. (Trnka, Olesen, et al., 2011)developed a simple <strong>in</strong>dex by which the effectiveannual radiation for plant growth was estimated bysumm<strong>in</strong>g daily contributions of solar radiation ondays with mean temperature above 5 °C, m<strong>in</strong>imumtemperature above 0 °C <strong>and</strong> sufficient soil waterfor support<strong>in</strong>g crop transpiration. In practice theresponse depends on soil type that may have largedifferences <strong>in</strong> capacity for stor<strong>in</strong>g soil moisture <strong>and</strong>on possibilities for supplementary irrigation. Cropyield also depends on the tim<strong>in</strong>g of the crop growth<strong>and</strong> yield formation. Yields <strong>in</strong> cereal <strong>and</strong> oilseedcrops respond particularly to the duration of thegra<strong>in</strong> fill<strong>in</strong>g period (Kristensen et al., 2011). The<strong>impacts</strong> of unfavourable meteorological conditions<strong>and</strong> extreme events vary considerably, depend<strong>in</strong>g onthe tim<strong>in</strong>g of occurrence <strong>and</strong> the development stageof the crops (Moriondo et al., 2011). Changes <strong>in</strong> theoccurrence of extreme events such as heat waves,droughts, heavy precipitation <strong>and</strong> floods will greatlyaffect crop yield lead<strong>in</strong>g to <strong>in</strong>creased variability <strong>and</strong>economic consequences (Ciscar et al., 2011).Past trendsA global analysis of yields of cereal crops (wheat,maize <strong>and</strong> barley) has shown yield decreasesdue to <strong>in</strong>creas<strong>in</strong>g mean temperatures (Lobell <strong>and</strong>Field, 2007). Similar effects have been observed forvarious countries <strong>in</strong> <strong>Europe</strong> (Kristensen et al., 2011).Increas<strong>in</strong>g temperatures have also been attributed asone of the ma<strong>in</strong> causes for the lack of yield <strong>in</strong>creaseof w<strong>in</strong>ter wheat <strong>in</strong> France despite improvements<strong>in</strong> crop breed<strong>in</strong>g (Brisson et al., 2010). Gra<strong>in</strong> yields<strong>in</strong> maize have been steadily <strong>in</strong>creas<strong>in</strong>g <strong>in</strong> northern<strong>Europe</strong>, whereas yields <strong>in</strong> southern <strong>Europe</strong> seemto have been stagnat<strong>in</strong>g. There is also a tendencyfor <strong>in</strong>creas<strong>in</strong>g variability of gra<strong>in</strong> yields <strong>in</strong> France<strong>and</strong> Italy, l<strong>in</strong>ked to occurrence of heat waves <strong>and</strong>droughts (Olesen et al., 2011). These climaticextremes affected the crop production <strong>in</strong> large areasof southern <strong>and</strong> central <strong>Europe</strong> <strong>in</strong> 2003 <strong>and</strong> 2007.In contrast to cereals <strong>and</strong> oilseed crops, potato <strong>and</strong>sugar beet seem to have responded positively to the<strong>in</strong>creas<strong>in</strong>g temperatures by <strong>in</strong>creas<strong>in</strong>g yields, mostlikely due to longer grow<strong>in</strong>g seasons (Peltonen-Sa<strong>in</strong>io et al., 2010).ProjectionsThe impact of future <strong>change</strong>s <strong>in</strong> climate oncrop yield depends on the characteristics of theclimatic <strong>change</strong> with<strong>in</strong> a region as well as on acomb<strong>in</strong>ation of other environmental, economic,technological <strong>and</strong> management factors (Reidsmaet al., 2010). The <strong>in</strong>dex of effective solar radiationsum has been developed as a proxy for the effects ofenvironmental <strong>change</strong>s on crop productivity (Trnka,Olesen, et al., 2011)), <strong>and</strong> it <strong>in</strong>tegrates the daily solarradiation on those days where neither temperaturenor soil moisture is limit<strong>in</strong>g for growth. This <strong>in</strong>dexestimates the potential for ra<strong>in</strong>-fed crop productionus<strong>in</strong>g a st<strong>and</strong>ard soil across the entire cont<strong>in</strong>ent,although this may be greatly modified by local soilconditions. Map 4.4 shows the projected <strong>change</strong>s<strong>in</strong> effective radiation sum for the 2040s for climateprojections <strong>fr</strong>om two different climate models. Bothprojections show reduced production potential <strong>in</strong>large parts of southern <strong>Europe</strong> <strong>and</strong> <strong>in</strong>creases <strong>in</strong>the far north, but they differ substantially for areas<strong>in</strong>-between. A broader analysis of climate <strong>change</strong>scenarios for agricultural productivity <strong>in</strong> <strong>Europe</strong>has provided a clear picture of deterioration ofagroclimatic conditions <strong>fr</strong>om <strong>in</strong>creased droughtKey messages: 4.1.4 Water-limited crop productivity• Yields of several crops (e.g. wheat) are stagnat<strong>in</strong>g, whereas yields of other crops (e.g. maize <strong>in</strong>northern <strong>Europe</strong>) are <strong>in</strong>creas<strong>in</strong>g; both effects are partly due to the observed climatic warm<strong>in</strong>g.• Extreme climatic events, <strong>in</strong>clud<strong>in</strong>g droughts <strong>and</strong> heat waves, have negatively affected crop productivitydur<strong>in</strong>g the first decade of the 21st century, <strong>and</strong> this is expected to further <strong>in</strong>crease yield variabilityunder climate <strong>change</strong>.• Crop yields will be affected by the comb<strong>in</strong>ed effects of <strong>change</strong>s <strong>in</strong> temperature, ra<strong>in</strong>fall <strong>and</strong> atmosphericCO 2concentration. Future climate <strong>change</strong> can lead to yield decreases or <strong>in</strong>creases, depend<strong>in</strong>g on croptype <strong>and</strong> with considerable regional differences across <strong>Europe</strong>.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012165


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.4Projected <strong>change</strong>s <strong>in</strong> effective solar radiation <strong>fr</strong>om two climate models-30°-20°-10°0°10°20°30°40°50°60°70°-30°-20°-10°0°10°20°30°40°50°60°70°60°60°50°50°50°50°40°40°40°40°0 500 0° 1000 1500 10° km20°30°40°0 500 0° 1000 1500 10° km20°30°40°Projected <strong>change</strong> <strong>in</strong> effective global radiation(MJ/m²)< – 200– 200 to – 150– 150 to – 100– 100 to – 50– 50 to 00 to 5050 to 100100 to 150150 to 200> 200No dataOutsidecoverageNote:Mean <strong>change</strong>s <strong>in</strong> effective solar radiation (MJ/m 2 ), which is an <strong>in</strong>dicator for water-limited crop productivity, for the period2031–2050 compared with 1975–1994 for the RACMO (KNMI) <strong>and</strong> HadRCM3 (Hadley Centre.HC) projections under theA1B emission scenario.Source: J.E. Olesen, 2012 (personal communication).stress <strong>and</strong> a shorten<strong>in</strong>g of active grow<strong>in</strong>g seasonacross large parts of southern <strong>and</strong> central <strong>Europe</strong>(Trnka, Olesen, et al., 2011). Results also suggest arisk of an <strong>in</strong>creas<strong>in</strong>g number of unfavourable yearsfor agricultural production <strong>in</strong> many <strong>Europe</strong>anclimatic zones, result<strong>in</strong>g <strong>in</strong> <strong>in</strong>creased variability ofcrop yield <strong>fr</strong>om droughts <strong>and</strong> heat waves.The estimates shown <strong>in</strong> Map 4.4 do not consider theeffects of enhanced atmospheric CO 2levels on cropproductivity. The <strong>Climate</strong>Crop model was applied toexplore the comb<strong>in</strong>ed effects of projected <strong>change</strong>s <strong>in</strong>temperature, ra<strong>in</strong>fall <strong>and</strong> CO 2concentration across<strong>Europe</strong>, consider<strong>in</strong>g certa<strong>in</strong> management <strong>change</strong>sthus <strong>in</strong>corporat<strong>in</strong>g effects of adaptation. The meanprojected <strong>change</strong>s <strong>in</strong> Map 4.5 show the same overallpicture as Map 4.4 of decreases <strong>in</strong> yields along theMediterranean <strong>and</strong> large <strong>in</strong>creases <strong>in</strong> Sc<strong>and</strong><strong>in</strong>avia.However, throughout large parts of western <strong>and</strong>central <strong>Europe</strong> mean <strong>change</strong>s <strong>in</strong> crop yields arelikely to be small.Map 4.6 shows <strong>change</strong>s <strong>in</strong> water-limited wheatproduction <strong>in</strong> <strong>Europe</strong> by 2030 for climateprojections <strong>fr</strong>om two different climate models(Donatelli et al., 2012). The results that also <strong>in</strong>cludeeffects of enhanced CO 2concentrations <strong>in</strong>dicatethat different climate models can lead to largedifferences <strong>in</strong> projected <strong>impacts</strong>, with both yield<strong>in</strong>creases <strong>and</strong> decreases possible <strong>in</strong> northern <strong>and</strong>southern <strong>Europe</strong>. The same study showed largedifferences <strong>in</strong> simulated yield <strong>change</strong>s betweendifferent crops, climate model projections <strong>and</strong>time horizons. Neither of these model estimatesconsiders adaptation to climate <strong>change</strong>, such as<strong>change</strong>s <strong>in</strong> crop species <strong>and</strong> varieties <strong>and</strong> <strong>change</strong>s<strong>in</strong> crop management. It is therefore likely thatnegative yield <strong>impacts</strong> will be smaller <strong>and</strong> positiveeffects bigger follow<strong>in</strong>g adaptation <strong>in</strong> the farm<strong>in</strong>gsystems.166 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.5Projected <strong>change</strong>s <strong>in</strong> water-limited crop yield-30°-20°-10°0°10°20°30°40°50°60°70°Projected <strong>change</strong>s <strong>in</strong>water-limited crop yield(%)– 25 to – 1560°– 15 to – 5– 5 to 55 to 1550°15 to 2525 to 35> 3550°No dataOutside coverage40°40°0 500 0° 1000 150010°km20°30°40°Note:Mean relative <strong>change</strong>s <strong>in</strong> water-limited crop yield simulated by the <strong>Climate</strong>Crop model for the 2050s compared with1961–1990 for 12 different climate models projections under the A1B emission scenario.Source: Iglesias et al., 2011.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012167


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.6Simulated <strong>change</strong> <strong>in</strong> water-limited wheat production for 2030 based on twoclimate modelsNote:Simulated <strong>change</strong> <strong>in</strong> water-limited wheat production for 2030 compared with 2000 for the A1B emission scenario us<strong>in</strong>g a cold(ECHAM5) (left) <strong>and</strong> a warm (HADCM3) (right) climate <strong>change</strong> projection.Source: Donatelli et al., 2012.168 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.1.5 Irrigation water requirementRelevanceWater is essential for plant growth <strong>and</strong> there is arelationship between plant biomass production <strong>and</strong>transpiration, with the water-use efficiency (biomassproduction per unit water transpired) be<strong>in</strong>g affectedby crop species as well as management. Increas<strong>in</strong>gatmospheric CO 2concentration will lead to higherwater use efficiency through reductions <strong>in</strong> planttranspiration (Kruijt et al., 2008) <strong>and</strong> <strong>in</strong>creasedphotosynthesis (A<strong>in</strong>sworth <strong>and</strong> Long, 2005). Highertemperatures <strong>and</strong> lower relative humidity leadsto higher evaporative dem<strong>and</strong>s, which reducesthe water-use efficiency. The result<strong>in</strong>g effect ofclimate <strong>change</strong> on water-use efficiency is thereforea comb<strong>in</strong>ation of <strong>change</strong>s <strong>in</strong> temperature <strong>and</strong>atmospheric CO 2concentration as well as <strong>change</strong>s<strong>in</strong> crop choice <strong>and</strong> management. The water dem<strong>and</strong>by crops must be met through ra<strong>in</strong>fall dur<strong>in</strong>gthe grow<strong>in</strong>g period, <strong>fr</strong>om soil water storage orby irrigation. In drought prone areas, <strong>in</strong>creas<strong>in</strong>gdem<strong>and</strong>s for water by <strong>in</strong>dustrial <strong>and</strong> urban users<strong>in</strong>tensify the competition for water for irrigation <strong>in</strong>agriculture (Iglesias et al., 2007).Past trendsConsistent observations of water dem<strong>and</strong> foragriculture do not currently exist for <strong>Europe</strong>but past trends can be estimated on the basis ofmeteorological data. Map 4.7 estimates the <strong>change</strong> <strong>in</strong>the water balance, which is the difference betweena reference evapotranspiration <strong>and</strong> the ra<strong>in</strong>fall. This<strong>in</strong>dicator provides only a rough proxy for <strong>change</strong>s<strong>in</strong> irrigation dem<strong>and</strong>, because actual irrigationdem<strong>and</strong> is determ<strong>in</strong>ed by the crops grown, the typeof irrigation applied <strong>and</strong> the local soil conditions.In the period considered (1975–2010), the IberianPen<strong>in</strong>sula <strong>and</strong> Italy experienced an <strong>in</strong>crease <strong>in</strong> thevolume of water required for irrigation, if yieldsof irrigated crops were to be ma<strong>in</strong>ta<strong>in</strong>ed, whereasparts of south-eastern <strong>Europe</strong> have experienced adecrease.ProjectionsNo projections of <strong>change</strong>s <strong>in</strong> irrigation dem<strong>and</strong>are available for <strong>Europe</strong>. Many climate <strong>change</strong>projections show a consistent <strong>in</strong>crease <strong>in</strong> thenumber of dry days <strong>in</strong> spr<strong>in</strong>g <strong>and</strong> summer <strong>in</strong> muchof southern <strong>and</strong> central <strong>Europe</strong> (Trnka, Olesen,et al., 2011). In some of the severe climate <strong>change</strong>scenarios the <strong>in</strong>crease <strong>in</strong> the number of dry days<strong>in</strong> summer even extends far <strong>in</strong>to northern <strong>Europe</strong>.The <strong>in</strong>creas<strong>in</strong>g temperatures will <strong>in</strong>crease theevaporative dem<strong>and</strong>, which would be further<strong>in</strong>creased if the higher <strong>fr</strong>equency of dry days leadsto lower relative humidity <strong>and</strong> reduced cloud cover.These effects will only be partly compensated bythe reduced crop transpiration under higher CO 2concentrations (Olesen et al., 2007).The expected <strong>in</strong>creas<strong>in</strong>g evapotranspiration will putpressure on the use of irrigation <strong>in</strong> drought-proneareas. Irrigation <strong>in</strong> <strong>Europe</strong> is currently concentratedalong the Mediterranean, where some countries usemore than 80 % of total <strong>fr</strong>eshwater abstraction foragricultural purposes (EEA, 2009). The <strong>in</strong>creas<strong>in</strong>gdem<strong>and</strong> for irrigation will therefore <strong>in</strong>creasethe competition for water, <strong>in</strong> particular wheretotal water availability decl<strong>in</strong>es due to reducedprecipitation. Assum<strong>in</strong>g that urban water dem<strong>and</strong>swould have preference over agricultural purposes,the proportional reduction of water availability forirrigation <strong>in</strong> many <strong>Europe</strong>an bas<strong>in</strong>s is larger than thereduction <strong>in</strong> annual run-off (Map 4.8) (Iglesias et al.,2012). Projections for the Mediterranean region showa considerable decl<strong>in</strong>e <strong>in</strong> water availability, which<strong>in</strong> some areas makes current irrigation practicesimpossible <strong>in</strong> the future.Key messages: 4.1.5 Irrigation water requirement• In the Iberian Pen<strong>in</strong>sula <strong>and</strong> Italy, an <strong>in</strong>crease <strong>in</strong> the volume of water required for irrigation <strong>fr</strong>om 1975to 2010 has been estimated, whereas parts of south-eastern <strong>Europe</strong> have recorded a decrease.• The projected <strong>in</strong>creases <strong>in</strong> temperature will lead to <strong>in</strong>creased evapotranspiration rates, thereby<strong>in</strong>creas<strong>in</strong>g crop water requirements across <strong>Europe</strong>.• The impact of <strong>in</strong>creas<strong>in</strong>g water requirements is expected to be most acute <strong>in</strong> southern <strong>Europe</strong>, wherethe suitability for ra<strong>in</strong>-fed agriculture is projected to decrease <strong>and</strong> irrigation requirements are projectedto <strong>in</strong>crease.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012169


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.7 Rate of <strong>change</strong> of the meteorological water balance (1975–2010)-30°-20°-10°0°10°20°30°40°50°60°70°Rate of <strong>change</strong> of themeteorological waterbalance (1975–2010)Volume of water balance(m³/ha/year)60°< – 60– 60 to – 2050°– 20 to 2020 to 60> 60Statistical significance50°0.10No dataOutside coverage40°40°0 500 0° 1000 150010°km20°30°40°Note:The map provides an estimate of the <strong>in</strong>crease (brown <strong>in</strong> map) or decrease (blue <strong>in</strong> map) of the water volume required forirrigation assum<strong>in</strong>g that all other factors are un<strong>change</strong>d <strong>and</strong> given that there is an irrigation dem<strong>and</strong>.Source: MARS/STAT database.170 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.8Projected <strong>change</strong> <strong>in</strong> water availability for irrigation <strong>in</strong> the Mediterranean region by2071–2100-10°0°10°20°30°40°40°40°0 500 1000 1500 km0°10°20°30°30°Projected <strong>change</strong> <strong>in</strong> water availablility(%)– 100– 80 – 60 – 40 – 20 – 10 10 20 40 60 80 100No data OutsidecoverageNote:Relative <strong>change</strong> <strong>in</strong> water availability for irrigation as projected under the A1B emission scenario by the HIRHAM (DMI)regional climate model for 2071–2100 relative to 1961–1990.Source: Iglesias et al., 2012.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012171


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.2 Forests <strong>and</strong> forestry4.2.1 OverviewRelevanceForests are def<strong>in</strong>ed as ecosystems dom<strong>in</strong>ated bytrees <strong>and</strong> other woody vegetation. They cover morethan 40 % of all l<strong>and</strong> area <strong>in</strong> <strong>Europe</strong> <strong>and</strong> are as suchone of the ma<strong>in</strong> terrestrial ecosystems. Forestrydescribes the management of forest l<strong>and</strong> <strong>in</strong>clud<strong>in</strong>gcultivation, ma<strong>in</strong>tenance <strong>and</strong> development offorests.Forests provide a wide range of benefits <strong>and</strong>services to their owners, managers <strong>and</strong> beneficiaries(Forest <strong>Europe</strong>, UNECE <strong>and</strong> FAO, 2011). Forests<strong>in</strong> <strong>Europe</strong> provide societies with products such astimber, wood fibre <strong>and</strong> energy, with recreationalopportunities as well as multiple ecosystemservices, <strong>in</strong>clud<strong>in</strong>g biodiversity, clean water<strong>and</strong> air (Bredemeier, 2011). Forests are the mostspecies-rich terrestrial ecosystem <strong>and</strong> they are ama<strong>in</strong> element of <strong>Europe</strong>an nature. Because of theirstructural complexity, they provide ideal habitatsfor a high number of plants, birds <strong>and</strong> animals. Inmounta<strong>in</strong> areas, forests protect settlements <strong>and</strong><strong>in</strong><strong>fr</strong>astructure <strong>fr</strong>om, for example, l<strong>and</strong>slides <strong>and</strong>avalanches. Forests regulate water flows <strong>and</strong> reducefloods, <strong>and</strong> protect <strong>fr</strong>om w<strong>in</strong>d, s<strong>and</strong> drift <strong>and</strong> noise.Forests offer good protection <strong>fr</strong>om soil erosion<strong>and</strong> degradation, which is important especially <strong>in</strong>mounta<strong>in</strong>ous, hilly <strong>and</strong> semi-arid areas. Forests playan important role for climate regulation <strong>and</strong> for theglobal C cycle as they store a considerable amountof terrestrial carbon. Forests <strong>and</strong> forestry play a keyrole <strong>in</strong> the long-term mitigation of <strong>and</strong> adaptationto climate <strong>change</strong>. Both forest management <strong>and</strong>l<strong>and</strong> use are central elements <strong>in</strong> the exist<strong>in</strong>g climateregime <strong>and</strong> <strong>in</strong> negotiations of future climate policies.Furthermore, forest-related jobs <strong>and</strong> revenuescontribute to national economies, which may bethreatened by climate <strong>change</strong> (Hanew<strong>in</strong>kel et al.,2012).<strong>Climate</strong> <strong>and</strong> weather have a strong <strong>in</strong>fluence onthe processes that control forest structure <strong>and</strong>function, <strong>and</strong> thus on forest health. <strong>Climate</strong> <strong>change</strong>is projected to impact on forests by <strong>in</strong>creas<strong>in</strong>gthreats such as pest outbreaks, fires <strong>and</strong> drought.Increased temperatures, <strong>change</strong>s <strong>in</strong> precipitationamounts <strong>and</strong> patterns, <strong>and</strong> <strong>change</strong>d compositionof the atmosphere are all expected to have <strong>impacts</strong>on forests. Total seasonal precipitation as well as itspattern of variability are both of major importancefor forestry systems (Olesen <strong>and</strong> B<strong>in</strong>di, 2002;L<strong>in</strong>dner et al., 2010). Extreme events <strong>in</strong>clud<strong>in</strong>gdroughts, flood<strong>in</strong>g, storms <strong>and</strong> heat waves areexpected to become more <strong>fr</strong>equent <strong>in</strong> parts of<strong>Europe</strong> (see Sections 2.2 <strong>and</strong> 3.4).Various extreme climatic events like the 2003drought <strong>in</strong> large parts of <strong>Europe</strong> <strong>and</strong> severew<strong>in</strong>dstorms already had strong negative <strong>impacts</strong> onforests (Ciais et al., 2005; Usbeck et al., 2010). Storms,droughts <strong>and</strong> heat waves can lead to higher rates oftree mortality, <strong>and</strong> make forests more susceptibleto secondary damages, such as <strong>in</strong>sect <strong>and</strong> fungal<strong>in</strong>festations. Forests are strongly affected by a rangeof <strong>in</strong>sects <strong>and</strong> <strong>in</strong>vasive species. Insect <strong>and</strong> pathogenoutbreaks are generally facilitated by a warm<strong>in</strong>gclimate. As forest ecosystems <strong>change</strong> <strong>and</strong> move<strong>in</strong> response to climate <strong>change</strong>s, they are expectedto become more vulnerable to disturbances. S<strong>in</strong>cethe latitud<strong>in</strong>al (<strong>and</strong> altitud<strong>in</strong>al) distribution offorest species is strongly determ<strong>in</strong>ed by climaticconditions, a chang<strong>in</strong>g climate will have an impacton which tree species can survive, <strong>and</strong> where.Key messages: 4.2 Forests <strong>and</strong> forestry• Forests provide multiple goods <strong>and</strong> services, <strong>in</strong>clud<strong>in</strong>g wood supply, carbon accumulation, ecosystemsservices, water purification, protection aga<strong>in</strong>st natural hazards <strong>and</strong> recreational services.• Forests <strong>in</strong> <strong>Europe</strong> have been accumulat<strong>in</strong>g carbon (C) at a rate of more than 100 million tonnes (Mt C)per year <strong>fr</strong>om 1990 to 2010.• <strong>Climate</strong> <strong>change</strong> is expected to have major <strong>impacts</strong> on forest ecosystems. Ris<strong>in</strong>g atmospheric CO 2concentration, higher temperatures <strong>and</strong> <strong>change</strong>s <strong>in</strong> precipitation are likely to have significant effects onthe vegetation period, growth, health <strong>and</strong> distribution of trees as well as on forest ecosystems, <strong>and</strong> thuson the goods <strong>and</strong> services provided by forests.• <strong>Climate</strong> <strong>change</strong> may also enhance the <strong>fr</strong>equency of favourable conditions for forest fires extend<strong>in</strong>g thefire season <strong>in</strong> both time <strong>and</strong> space.• An <strong>in</strong>crease <strong>in</strong> storms, droughts <strong>and</strong> heat waves can lead to higher rates of tree mortality, <strong>and</strong> makeforests more susceptible to secondary damages, such as <strong>in</strong>sect <strong>and</strong> fungal <strong>in</strong>festations.172 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthImpacts of climate <strong>change</strong>, comb<strong>in</strong>ed with<strong>in</strong>creas<strong>in</strong>g atmospheric CO 2concentrations, onforests vary across regions. In some areas, forestsmay grow faster as a result of <strong>in</strong>creased availabilityof CO 2<strong>and</strong> higher temperature (<strong>and</strong> concurrent<strong>in</strong>creases <strong>in</strong> nitrogen availability). In others areas,especially those receiv<strong>in</strong>g less precipitation, forestsmay suffer <strong>and</strong> experience decreased growth.<strong>Climate</strong> <strong>change</strong> may also enhance the <strong>fr</strong>equencyof favourable conditions for forest fires extend<strong>in</strong>gthe fire season <strong>in</strong> both time <strong>and</strong> space. The uniqueadaptation of boreal forests makes them moresensitive to temperature fluctuations than temperateor other forests. Even a slight <strong>in</strong>crease <strong>in</strong> meanannual temperature is enough to affect manyspecies' growth <strong>and</strong> regeneration. The boreal forestis likely to decrease <strong>in</strong> area, biomass <strong>and</strong> carbonstock, with a significant disruption at its southernboundary but the northern border l<strong>in</strong>e will movefurther north (Olsson, 2009; Hanew<strong>in</strong>kel et al., 2012).Selection of <strong>in</strong>dicatorsThis section presents the follow<strong>in</strong>g <strong>in</strong>dicators thatcapture climate-sensitive characteristics of foreststhat are relevant for forest management:• Forest growth: This <strong>in</strong>dicator describes the extentof forests (i.e. their area) as well as the grow<strong>in</strong>gstock (i.e. the volume of the abovegroundbiomass of all liv<strong>in</strong>g trees). The def<strong>in</strong>itions referto the Forest <strong>Europe</strong> def<strong>in</strong>itions (Forest <strong>Europe</strong>,UNECE <strong>and</strong> FAO, 2011). These def<strong>in</strong>itionsare currently be<strong>in</strong>g ref<strong>in</strong>ed by the <strong>Europe</strong>anNational Forest Inventory network (ENFIN) toallow for better comparison of forest-related<strong>in</strong>formation across <strong>Europe</strong>.• Forest fires: This <strong>in</strong>dicator monitors the areasburnt by forest fires, which are experienced<strong>in</strong> many <strong>Europe</strong>an countries, <strong>in</strong> particular <strong>in</strong>southern <strong>Europe</strong>. <strong>Climate</strong> <strong>change</strong> may leadto more forest fires due to warmer <strong>and</strong> drierweather, <strong>and</strong> possibly <strong>in</strong>creases <strong>in</strong> lightn<strong>in</strong>gstorms (a natural cause of fires).Forest carbon stock would be another potential<strong>in</strong>dicator related to forests. The forests <strong>in</strong> EEA<strong>Europe</strong> conta<strong>in</strong> more than 26 000 Mt C; about halfof that amount is stored <strong>in</strong> soils (Forest <strong>Europe</strong>,UNECE <strong>and</strong> FAO, 2011). Furthermore, temperate<strong>and</strong> boreal forests are the ma<strong>in</strong> terrestrial carbons<strong>in</strong>k worldwide (Houghton, 2003). Biomass growth<strong>in</strong> <strong>Europe</strong>an forests (<strong>in</strong>clud<strong>in</strong>g also countriesbeyond the EEA region) is estimated to sequesterabout 10 % of the GHG emissions <strong>fr</strong>om that region.<strong>Climate</strong>-driven <strong>change</strong>s <strong>in</strong> the forest carbon stockare a potential feedback mechanism that could eitheraccelerate or slow down anthropogenic climate<strong>change</strong>. A comprehensive assessment of the state of<strong>Europe</strong>'s forests, <strong>in</strong>clud<strong>in</strong>g their carbon stock, hasrecently been completed (Forest <strong>Europe</strong>, UNECE<strong>and</strong> FAO, 2011). This assessment concluded, amongothers, that the carbon stock of <strong>Europe</strong>an forests iscurrently grow<strong>in</strong>g, at a rate of more than 100 Mt Cper year between 1990 <strong>and</strong> 2010. This <strong>in</strong>crease is dueto <strong>change</strong>s <strong>in</strong> forest management <strong>and</strong> environmental<strong>change</strong>s <strong>in</strong>clud<strong>in</strong>g climate, CO 2, <strong>and</strong> nitrogendeposition. In order not to repeat <strong>in</strong>formation readyavailable elsewhere, this EEA report does not presentan <strong>in</strong>dicator on forest carbon stock but refers to theorig<strong>in</strong>al study for more detailed <strong>in</strong>formation. F<strong>in</strong>ally,an <strong>in</strong>dicator on forest health could be conceived(Moore <strong>and</strong> Allard, 2008) but such <strong>in</strong>formation is notcurrently available across <strong>Europe</strong>.Data quality <strong>and</strong> data needsForest areas of most <strong>Europe</strong>an countries are<strong>in</strong>ventoried by National Forest Inventories(NFIs) as well as by the monitor<strong>in</strong>g activities ofthe International Co-operative Programme onAssessment <strong>and</strong> Monitor<strong>in</strong>g of Air Pollution Effectson Forests (ICP Forests ( 55 )). Time series of forest datago back to more than 100 years for some <strong>Europe</strong>ancountries. Independent periodic assessments of forestarea, grow<strong>in</strong>g stock <strong>and</strong> <strong>in</strong>crement as well as carbonstock are conducted through systematic observationwith statistically designed sampl<strong>in</strong>g based on theNFIs. The quality of the data is high. However, theestimates of the <strong>in</strong>ventory of each country may differdue to differences <strong>in</strong> the def<strong>in</strong>ition of the variables.Harmonisation efforts are ongo<strong>in</strong>g to make the forest<strong>in</strong>formation comparable <strong>and</strong> representative of theforests <strong>in</strong> <strong>Europe</strong>. The work is conducted by theENFIN <strong>in</strong> COST Actions E43 <strong>and</strong> FP1001 (McRobertset al., 2010).It is very difficult to separate the <strong>impacts</strong> of climate<strong>change</strong> on forests <strong>and</strong> forestry <strong>fr</strong>om non‐climate<strong>in</strong>fluences (e.g. related to management) <strong>in</strong>observational data. Therefore, efforts to underst<strong>and</strong>the <strong>impacts</strong> of climate <strong>change</strong> on forests <strong>and</strong> forestryare largely based on controlled experiments <strong>in</strong>laboratories <strong>and</strong> on small forest plots, <strong>and</strong> on modelsimulations.( 55 ) See http://icp-forests.net.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012173


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthInformation on forest fires is collected <strong>in</strong> the<strong>Europe</strong>an Fire Database at the JRC. The <strong>Europe</strong>anforest fire database is an important component of the<strong>Europe</strong>an Forest Fire Information System (EFFIS).Forest fire data are provided each year by <strong>in</strong>dividualEU Member States through several EU regulations,<strong>and</strong> additional data com<strong>in</strong>g <strong>fr</strong>om other <strong>Europe</strong>ancountries have been checked, stored <strong>and</strong> managedby JRC with<strong>in</strong> EFFIS. The quality of the data is high.A time series on forest fires exists back to 1980 forthe five <strong>Europe</strong>an countries most affected by forestfires. Currently, the database covers data <strong>fr</strong>om22 countries <strong>in</strong> <strong>Europe</strong> <strong>and</strong> conta<strong>in</strong>s over 2 million<strong>in</strong>dividual fire event records.4.2.2 Forest growthRelevanceTree growth is controlled by complex <strong>in</strong>teractionsbetween climate <strong>and</strong> non‐climate factors, withforest management hav<strong>in</strong>g a significant effect.Trees have long been known to respond to <strong>change</strong>s<strong>in</strong> climate: variations <strong>in</strong> tree r<strong>in</strong>g widths <strong>fr</strong>om oneyear to another are recognised as an importantsource of climatic <strong>in</strong>formation although difficult to<strong>in</strong>terpret. <strong>Climate</strong> <strong>change</strong> is expected to <strong>in</strong>fluenceforest composition <strong>and</strong> productivity (see Table 4.1).Increases <strong>in</strong> atmospheric CO 2, <strong>change</strong>s <strong>in</strong>temperature <strong>and</strong> the availability of water will affectthe relative health <strong>and</strong> productivity of differentspecies <strong>in</strong> complex ways. CO 2has a direct impact ontree function <strong>and</strong> forest productivity. An <strong>in</strong>creasedconcentration <strong>in</strong> the atmosphere stimulatesphotosynthesis <strong>and</strong> likely results <strong>in</strong> an <strong>in</strong>crease<strong>in</strong> growth rates <strong>and</strong> leaf area, if other factors arenot limit<strong>in</strong>g. Increased temperatures generallyspeed up plant growth, rates of decomposition<strong>and</strong> nutrient cycl<strong>in</strong>g, though other factors likeavailability of water also <strong>in</strong>fluence these processes.Higher temperatures lengthen the grow<strong>in</strong>g seasonby advanc<strong>in</strong>g its start <strong>in</strong> spr<strong>in</strong>g <strong>and</strong> delay<strong>in</strong>g its end<strong>in</strong> fall.<strong>Climate</strong> <strong>change</strong> is expected to present several threatsto forest growth <strong>and</strong> productivity such as <strong>in</strong>creased<strong>fr</strong>equency <strong>and</strong> severity of summer droughtwith <strong>impacts</strong> on drought-sensitive tree species,<strong>in</strong> particular on shallow, <strong>fr</strong>eely dra<strong>in</strong><strong>in</strong>g soils(Houghton, 2003; Melillo et al., 2011). Indirect effectson forest productivity are expected through <strong>change</strong>sto the <strong>fr</strong>equency <strong>and</strong> severity of pest <strong>and</strong> diseaseoutbreaks, <strong>in</strong>creas<strong>in</strong>g populations of damag<strong>in</strong>g<strong>in</strong>sects <strong>and</strong> mammals, <strong>and</strong> the impact of exist<strong>in</strong>g<strong>and</strong> new <strong>in</strong>vasive species. Concurrent <strong>change</strong>s <strong>in</strong>nitrogen <strong>and</strong> sulphur deposition <strong>and</strong> <strong>in</strong>creasedlevels of ozone pollution are also expected to havean impact. Nitrogen deposition can stimulate forestgrowth but it can also <strong>in</strong>crease the susceptibilityof trees to drought, diseases, pests <strong>and</strong> <strong>fr</strong>ost bycaus<strong>in</strong>g acidification <strong>and</strong> nutrient imbalances, thusdecreas<strong>in</strong>g forest vitality. Based on the currentunderst<strong>and</strong><strong>in</strong>g of these processes, the <strong>in</strong>dividualeffects of climate <strong>and</strong> non‐climate <strong>change</strong>s aredifficult to disentangle.Past trendsS<strong>in</strong>ce the 20th century, the annual <strong>in</strong>crement offorests <strong>in</strong> <strong>Europe</strong> (<strong>in</strong> terms of area <strong>and</strong> grow<strong>in</strong>gstock) has <strong>in</strong>creased due to advances <strong>in</strong> forestmanagement practices, genetic improvement <strong>and</strong>,<strong>in</strong> central <strong>Europe</strong>, the cessation of site-degrad<strong>in</strong>gpractices. Ab<strong>and</strong>oned farml<strong>and</strong> <strong>in</strong> high <strong>and</strong> midlatitudes is revert<strong>in</strong>g to forest, which store muchmore carbon than the previous cropl<strong>and</strong>.Forests <strong>and</strong> other wooded l<strong>and</strong> cover approximately190 million ha (1.9 million km 2 ) <strong>in</strong> the EEA region,<strong>and</strong> this area has <strong>in</strong>creased over the last decades(Forest <strong>Europe</strong>, UNECE <strong>and</strong> FAO, 2011). Forestbiomass has also grown over the past two decades,Key messages: 4.2.2 Forest growth• The area covered by forests <strong>and</strong> other wooded l<strong>and</strong> <strong>in</strong> <strong>Europe</strong> (39 EEA countries) has <strong>in</strong>creased formany decades.• Forest biomass <strong>in</strong> the EEA region is grow<strong>in</strong>g, <strong>and</strong> the average growth rate has <strong>in</strong>creased <strong>fr</strong>om 1990 to2010.• In some central <strong>and</strong> western areas of <strong>Europe</strong>, forest growth has been reduced <strong>in</strong> the last 10 years dueto storms, pests <strong>and</strong> diseases.• Future climate <strong>change</strong> <strong>and</strong> <strong>in</strong>creas<strong>in</strong>g CO 2concentrations are expected to affect site suitability,productivity, species composition <strong>and</strong> biodiversity, <strong>and</strong> thus have an impact on the goods <strong>and</strong> servicesthat the forests provide. In general, forest growth is projected to <strong>in</strong>crease <strong>in</strong> northern <strong>Europe</strong> <strong>and</strong> todecrease <strong>in</strong> southern <strong>Europe</strong>.174 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthTable 4.1Impacts <strong>and</strong> consequences of climate <strong>change</strong> on forest growth <strong>and</strong> forestconditions<strong>Climate</strong> effects Impacts ConsequencesIncreased CO 2concentrations, longergrow<strong>in</strong>g seasonReduced snowfallIncrease <strong>in</strong> average w<strong>in</strong>ter temperatureHigher earlier spr<strong>in</strong>g temperaturesDecrease <strong>in</strong> spr<strong>in</strong>g <strong>and</strong> summer ra<strong>in</strong>fallIncreased w<strong>in</strong>ter ra<strong>in</strong>fallReduced soil moistureIncreased <strong>fr</strong>equency of high or extremetemperature episodesChanges <strong>in</strong> temperature, ra<strong>in</strong>fall <strong>and</strong><strong>fr</strong>equency of extreme weather eventsIncreased productivity of some species,e.g. for biomass productionDecrease <strong>in</strong> snow damageIncrease <strong>in</strong> wet snow damagesW<strong>in</strong>ter chill<strong>in</strong>g requirements forflower<strong>in</strong>g <strong>and</strong> seed germ<strong>in</strong>ation notmet, <strong>in</strong>complete w<strong>in</strong>ter harden<strong>in</strong>gReduction <strong>in</strong> w<strong>in</strong>ter cold damageReduction <strong>in</strong> cold-associated mortality of<strong>in</strong>sect pest, deer populationsPotential for range of new speciesEarlier budburst <strong>and</strong> potentially<strong>in</strong>creased damages by late <strong>fr</strong>ostsDrought dur<strong>in</strong>g tree growth periodThreat to newly planted treesIncrease <strong>in</strong> forest firesLimit<strong>in</strong>g current tree species rangeWaterlogg<strong>in</strong>g of soils, kill<strong>in</strong>g of treerootsChanges <strong>in</strong> species suitabilityDamag<strong>in</strong>g effects of pestsLoss of biodiversityIncreased timber supplyReduced natural regenerationSerious w<strong>in</strong>ter tree damageIncreased tree damagesReduced high-quality timber supplyReduced tree growth, serious damage totreesTree damage; <strong>in</strong>creased tree <strong>vulnerability</strong>to <strong>in</strong>sect attack; <strong>in</strong>creased risk of soilerosionChanges <strong>in</strong> tree composition <strong>and</strong> thus <strong>in</strong>the range of goods <strong>and</strong> servicesReduction of root<strong>in</strong>g depths Increased<strong>vulnerability</strong> to droughts <strong>and</strong> stormsTree damage <strong>and</strong> mortality: loss of timberquality <strong>and</strong> quantityLoss of biodiversity <strong>and</strong> habitatsIncrease <strong>in</strong> storm events W<strong>in</strong>d throws Loss of quality timber supply, o<strong>fr</strong>ecreational areas, gaps favour<strong>in</strong>gregenerationDroughts Serious damages to trees <strong>and</strong> st<strong>and</strong>s Reduced timber volume <strong>and</strong> reduced highqualitytimber supply; higher susceptibilityto pests <strong>and</strong> pathogens; higher mortality;effects on nutrient cycl<strong>in</strong>g, habitats <strong>and</strong>faunaExtreme weather eventsMigration of tree species/loss of nativetree speciesPotential reduction of some of thedamag<strong>in</strong>g effects of pestsLoss of biodiversity <strong>and</strong> habitatsReduced tree damage <strong>and</strong> yield losses(either quantity or quality)Source: Compiled <strong>fr</strong>om Brown et al., 2012.at an accelerat<strong>in</strong>g rate, as a consequence of a numberof factors. A time series for 17 EEA countries showsan <strong>in</strong>crease <strong>in</strong> grow<strong>in</strong>g stock <strong>fr</strong>om 85 million m 3(5.4 m 3 ha -1 ) <strong>in</strong> 1990 to 110 million m 3 (5.9 m 3 ha -1 )<strong>in</strong> 2010 (Forest <strong>Europe</strong>, UNECE <strong>and</strong> FAO, 2011).This has been expla<strong>in</strong>ed primarily by the growth ofyoung forests <strong>in</strong> <strong>Europe</strong>, which have not reachedmaturity, <strong>and</strong> by the <strong>in</strong>creas<strong>in</strong>g carbon concentration<strong>in</strong> the atmosphere. Furthermore, several studieshave already noted longer grow<strong>in</strong>g seasons <strong>in</strong>several species, shifts <strong>in</strong> tree l<strong>in</strong>e <strong>and</strong> <strong>change</strong>s <strong>in</strong>species distribution (see Section 3.4.3). However, <strong>in</strong>some central <strong>and</strong> western forest areas of <strong>Europe</strong>,forest growth has been reduced <strong>in</strong> the last 10 yearsdue to storms, pests <strong>and</strong> diseases.ProjectionsMany aspects of projected climate <strong>change</strong> willimpact forest growth <strong>and</strong> productivity (Solberget al., 2009). Increas<strong>in</strong>g CO 2<strong>in</strong> the atmosphere mightact as a fertiliser for plants <strong>and</strong> enables them touse water more efficiently, but this effect seems tobe strongly dependent on local conditions such asmoisture stress <strong>and</strong> soil nutrient availability <strong>and</strong> itmight be limited to young trees. Nitrogen depositionmay enhance forest growth <strong>in</strong> particular areas whereplant-available nitrogen is still the limit<strong>in</strong>g factordepend<strong>in</strong>g on soil, climate, vegetation, depositionhistory <strong>and</strong> use. However, nitrogen deposition<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012175


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthcan also enhance the risk of forest decl<strong>in</strong>e, ifcritical loads are exceeded. The concentrationsof nitrogen oxides due to fossil fuel combustionare still high <strong>in</strong> spite of <strong>in</strong>creased use of catalyticconvertors. The high concentrations of reducednitrogen <strong>fr</strong>om <strong>in</strong>tensive agriculture, like ammoniaare still a matter of concern for forests <strong>in</strong> the aircaus<strong>in</strong>g eutrophication (Sutton, 2011). Increases<strong>in</strong> ground‐level ozone are likely <strong>in</strong> some regionsdue to warmer temperatures, which would cause adecrease <strong>in</strong> forest health <strong>and</strong> growth, which <strong>in</strong> turnhas critical implications for forest distributions <strong>and</strong>future rates of carbon sequestration (Matyssek et al.,2012).In general, forest productivity is projected to<strong>in</strong>crease <strong>in</strong> areas with <strong>in</strong>creased water availability,if appropriate tree species are grow<strong>in</strong>g there, whileit is projected to decrease where water is scarce <strong>and</strong>projected to decl<strong>in</strong>e further. Wherever droughts<strong>in</strong>crease, forest productivity is expected to decrease.Overall, climate <strong>change</strong> is projected to have a positiveeffect on the grow<strong>in</strong>g stocks <strong>in</strong> northern <strong>Europe</strong> <strong>and</strong>a negative effect <strong>in</strong> some regions <strong>in</strong> southern <strong>Europe</strong>.However, quantitative projections are not currentlyavailable as exist<strong>in</strong>g studies on future climate <strong>impacts</strong>on forests focus on effects on <strong>in</strong>dividual species.Box 4.1 provides quantitative projections of forestcomposition <strong>and</strong> their economic <strong>impacts</strong>.Box 4.1Projected <strong>change</strong>s <strong>in</strong> forest composition <strong>and</strong> their economic <strong>impacts</strong><strong>Climate</strong> <strong>change</strong> is expected to strongly affect the biological <strong>and</strong> economic viability of different tree species <strong>in</strong><strong>Europe</strong>. A recent modell<strong>in</strong>g study assessed the <strong>impacts</strong> of projected climate <strong>change</strong> on forest composition across<strong>Europe</strong> as well as the economic consequences <strong>in</strong> terms of annual productivity <strong>and</strong> l<strong>and</strong> value (Hanew<strong>in</strong>kel et al.,2012). The major commercial tree species <strong>in</strong> <strong>Europe</strong>, Norway spruce, shifts northward <strong>and</strong> to higher altitude.It loses large parts of its present range <strong>in</strong> central, eastern <strong>and</strong> western <strong>Europe</strong> under all climate scenarios(SRES A1B, A1FI, <strong>and</strong> B2). Depend<strong>in</strong>g on the emission scenario <strong>and</strong> climate model, between 21 % <strong>and</strong> 60 %(mean: 34 %) of <strong>Europe</strong>an forest l<strong>and</strong>s will be suitable only for a Mediterranean oak forest type with low economicreturns by 2100, compared to 11 % <strong>in</strong> the basel<strong>in</strong>e period 1961–1990. Further <strong>in</strong>formation on major groups oftree species is provided <strong>in</strong> Figure 4.2. As a result of the decl<strong>in</strong>e of economically valuable species, the value offorest l<strong>and</strong> <strong>in</strong> <strong>Europe</strong> is projected to decrease between 14 % <strong>and</strong> 50 % (mean: 28 % for an <strong>in</strong>terest rate of 2 %)by 2100. The economic loss is estimated at several hundred billion EUR.Figure 4.2Projected <strong>change</strong> <strong>in</strong> the share of major tree species <strong>in</strong> <strong>Europe</strong>Note:The bars reflect the st<strong>and</strong>ard deviation result<strong>in</strong>g <strong>fr</strong>om four different climate model realisations of the SRES A1B emissionscenario. The relative size of the icons corresponds to the relative height of mature trees of the species groups.For additional <strong>in</strong>formation see the orig<strong>in</strong>al reference. <strong>Europe</strong> refers to the area covered by the ENSEMBLE climateprojections.Source: Hanew<strong>in</strong>kel et al., 2012. © Nature Publish<strong>in</strong>g Group. Repr<strong>in</strong>ted with permission.176 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.2.3 Forest firesRelevanceForest fires are an <strong>in</strong>tegral part of forest ecosystemdynamics <strong>in</strong> many ecosystems where they arean essential element of forest renewal. They helpcontrol <strong>in</strong>sect <strong>and</strong> disease damage <strong>and</strong> elim<strong>in</strong>atelitter that has accumulated on forest floors. At thesame time, forest fires are an important disturbanceagent <strong>in</strong> many forested l<strong>and</strong>scapes. Fire risk dependson many factors such as weather, vegetation(e.g. fuel load <strong>and</strong> condition), topography, forestmanagement practices <strong>and</strong> socio‐economic context,to mention the ma<strong>in</strong> ones. Extreme fire episodes <strong>and</strong>devastat<strong>in</strong>g fire seasons of recent years <strong>in</strong> <strong>Europe</strong>were <strong>in</strong> most cases driven by severe fire weatherconditions. Although most of the wild fires <strong>in</strong><strong>Europe</strong> are ignited by humans (either accidently or<strong>in</strong>tentionally), it is widely recognised that weatherconditions <strong>and</strong> accumulation of fuel play a dom<strong>in</strong>antrole <strong>in</strong> affect<strong>in</strong>g the <strong>change</strong>s <strong>in</strong> fire risk over time.Thus climate <strong>change</strong> is expected to have a strongimpact on forest fire regimes <strong>in</strong> <strong>Europe</strong>.Past trendsHistorical fire series are available <strong>in</strong> <strong>Europe</strong> <strong>and</strong>regularly updated with<strong>in</strong> EFFIS. However, the timeperiod covered is not the same for all countries <strong>and</strong>only <strong>in</strong> a few case series is longer than 25 yearsavailable. A long time series of forest fire data isavailable for five particularly affected countries <strong>in</strong>southern <strong>Europe</strong> (Greece, Spa<strong>in</strong>, France, Italy <strong>and</strong>Portugal). The total burnt area per year <strong>in</strong> the fivesouthern Member States s<strong>in</strong>ce 1980 is shown onFigure 4.3. S<strong>in</strong>ce the area of each country is different,<strong>and</strong> the area at risk with<strong>in</strong> each country is alsodifferent, comparisons among countries cannot beabsolute.The statistics vary considerably <strong>fr</strong>om one year to thenext, which clearly <strong>in</strong>dicates how much the burntarea depends on seasonal meteorological conditions.Some multi-annual periodicity <strong>in</strong> the burned areatrend can also be partially attributed to the deadbiomass burn<strong>in</strong>g/accumulation cycle typical of thefire-prone regions. The historical trend of numberof fires is more controversial to analyse becausefire <strong>fr</strong>equency is strongly affected by the significant<strong>change</strong>s that occurred <strong>in</strong> past years <strong>in</strong> the statisticalreport<strong>in</strong>g systems of the countries. Reported fire<strong>fr</strong>equency <strong>in</strong> southern <strong>Europe</strong>an countries has<strong>in</strong>creased dur<strong>in</strong>g the 1990s to then stabilise foraround one decade <strong>and</strong> slightly decrease dur<strong>in</strong>grecent years.To complement the <strong>in</strong>formation <strong>fr</strong>om past forestfires, past trends of fire danger have also beenanalysed process<strong>in</strong>g series of meteorological firedanger <strong>in</strong>dices, which are rout<strong>in</strong>ely used to ratethe fire potential due to weather conditions. TheCanadian Fire Weather Index (FWI) is used <strong>in</strong>EFFIS to rate the daily fire danger conditions <strong>in</strong><strong>Europe</strong>. FWI can be transformed with a simpleequation <strong>in</strong>to a daily severity rat<strong>in</strong>g <strong>in</strong>dex which isdeemed to be l<strong>in</strong>early related with fire suppressiondifficulties (Van Wagner, 1987). Daily severity valuescan be averaged over the fire season obta<strong>in</strong><strong>in</strong>g aSeasonal Severity Rat<strong>in</strong>g (SSR) <strong>in</strong>dex, which allowsobjective comparison of fire danger <strong>fr</strong>om year toyear <strong>and</strong> <strong>fr</strong>om region to region. Although the <strong>in</strong>dexis dimensionless <strong>and</strong> ma<strong>in</strong>ly used for comparisonpurposes, SSR values above 6 may be considered <strong>in</strong>the extreme range. Weather <strong>in</strong>put to compute SSRare the same as for FWI (air temperature, relativehumidity, w<strong>in</strong>d, precipitation). Other driv<strong>in</strong>g factorsof fire regimes, such as l<strong>and</strong>-use <strong>change</strong>s or fueldynamics, are not taken <strong>in</strong>to account by SSR whichis based on weather parameters. However, thefundamental role played by weather <strong>in</strong> affect<strong>in</strong>g theKey messages: 4.2.3 Forest fires• Fire risk depends on many factors, <strong>in</strong>clud<strong>in</strong>g climatic conditions, vegetation (e.g. fuel load <strong>and</strong>condition), forest management practices <strong>and</strong> other socio‐economic factors.• The number of fires <strong>in</strong> the Mediterranean region has <strong>in</strong>creased over the period <strong>fr</strong>om 1980 to 2000;it has decreased thereafter.• In a warmer climate, more severe fire weather <strong>and</strong> an expansion of the fire-prone area <strong>and</strong> longer fireseasons, as a consequence, are projected, but with considerable regional variation.• The impact of fire events is particularly strong <strong>in</strong> southern <strong>Europe</strong> on already degraded ecosystems.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012177


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthFigure 4.3 Burnt forest area <strong>in</strong> five southern <strong>Europe</strong>an countries (1980–2010)Hectares (ha)1 000 000800 000600 000400 000200 00001980198219841986198819901992199419961998200020022004200620082010Portugal Spa<strong>in</strong> France Italy Greece TotalSource: Schmuck et al., 2011.year-by-year variation of fire <strong>in</strong>cidence <strong>in</strong> <strong>Europe</strong>has been clearly demonstrated (Camia <strong>and</strong> Amatulli,2009).Annual SSR values for the period 1981 to 2010were computed based on daily weather data us<strong>in</strong>gthe <strong>Europe</strong>an Centre for Medium-Range WeatherForecasts (ECMWF) ERA-Interim dataset. Map 4.9shows the SSR values averaged over the entireperiod (left map) <strong>and</strong> the correspond<strong>in</strong>g trendderived <strong>fr</strong>om l<strong>in</strong>ear <strong>in</strong>terpolation of the annualvalues (right map).Map 4.10 compares modelled fire danger projectionsfor basel<strong>in</strong>e (1961–1990) <strong>and</strong> projected (2071–2100)climate conditions. The results suggest that climate<strong>change</strong> would lead to a marked <strong>in</strong>crease of firepotential <strong>in</strong> south-eastern <strong>and</strong> south-western<strong>Europe</strong>; <strong>in</strong> relative terms the <strong>in</strong>crease <strong>in</strong> SSR wouldbe particularly strong <strong>in</strong> western-central <strong>Europe</strong>.Projections<strong>Climate</strong> <strong>change</strong> projections suggest substantialwarm<strong>in</strong>g <strong>and</strong> <strong>in</strong>creases <strong>in</strong> the number of droughts,heat waves <strong>and</strong> dry spells across most of theMediterranean area <strong>and</strong> more generally <strong>in</strong> southern<strong>Europe</strong> (see Section 2.2). These projected climate<strong>change</strong>s would <strong>in</strong>crease the length <strong>and</strong> severity ofthe fire season, the area at risk <strong>and</strong> the probability oflarge fires, possibly enhanc<strong>in</strong>g desertification.178 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.9 State <strong>and</strong> trend of fire danger for the period 1981–2010Note:Fire danger is expressed by the Seasonal Severity Rat<strong>in</strong>g (SSR). Daily severity values can be averaged over the fire seasonus<strong>in</strong>g the SSR <strong>in</strong>dex, which allows objective comparison of fire danger <strong>fr</strong>om year to year <strong>and</strong> <strong>fr</strong>om region to region. Thecoarse scale of the map does not allow account<strong>in</strong>g for specific conditions of given sites, as for example <strong>in</strong> the Alp<strong>in</strong>e region,where the complex topography may strongly affect local fire danger.Source: A. Camia, 2012 (personal communication), based on Camia et al., 2008.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012179


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.10Projected <strong>change</strong>s <strong>in</strong> fire dangerNote:Fire danger is expressed by the Seasonal Severity Rat<strong>in</strong>g (SSR). Based on projections by the Regional <strong>Climate</strong> Model (RCM)RACMO2 driven by the Global <strong>Climate</strong> Model (GCM) ECHAM5 for the SRES A1B emission scenario.Source: A. Camia, 2012 (personal communication), based on Camia et al., 2008.180 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.3 Fisheries <strong>and</strong> aquacultureRelevanceIndustries related to the capture of wild fish as wellas mar<strong>in</strong>e aquaculture are sensitive to climate <strong>change</strong>.This section gives an overview of the observed <strong>and</strong>projected <strong>impacts</strong> of climate <strong>change</strong> on fisheries<strong>and</strong> aquaculture. Due to the scarcity of quantitative<strong>in</strong>formation, this <strong>in</strong>formation is not presented as an<strong>in</strong>dicator.The total fisheries catch of the EU, concentratedma<strong>in</strong>ly <strong>in</strong> the north-east Atlantic, is the third largestfishery <strong>in</strong> the world. Commercially relevant wild fishstocks are subject to high levels of exploitation, <strong>in</strong>many cases at levels that exceed their reproductivecapacity. In <strong>Europe</strong>'s seas, overfish<strong>in</strong>g is a problem,with 30 % of commercial stocks (those which areassessed) be<strong>in</strong>g fished outside safe biological limits.Recently, scientists have also brought attention to thelikely effects of climate <strong>change</strong> on fish stocks. Stocksare thought to respond to warm<strong>in</strong>g conditions bothphysiologically <strong>and</strong> ecologically. Warm<strong>in</strong>g watersare expected to affect fish distribution, migrationpatterns, phenology (tim<strong>in</strong>g), food availability(see Section 3.1) <strong>and</strong> recruitment. In response, thegeographical distribution <strong>and</strong> productivity of fishstocks could be chang<strong>in</strong>g (Simpson et al., 2011). It isfurthermore speculated, that ocean acidification (seeSection 3.1) may eventually impact on the lowestlevels of the food web which ensures availability offood for fish, <strong>and</strong> hence impact fish productivity. Thehigh levels of fish exploitation, however, mean that itis very difficult to dist<strong>in</strong>guish between <strong>change</strong>s due tofisheries <strong>and</strong> those due to ocean warm<strong>in</strong>g.Although mar<strong>in</strong>e aquaculture depends criticallyon coastal habitats that will be affected by climate<strong>change</strong>, it is still very difficult to dist<strong>in</strong>guish betweenpossible climate <strong>change</strong> effects, natural variability<strong>in</strong> the environment around cages, <strong>and</strong> technologicalimprovements that generally support thedevelopment of the <strong>in</strong>dustry. The <strong>in</strong>dustry's concernsare related to <strong>change</strong>s <strong>in</strong> the <strong>fr</strong>equency <strong>and</strong> strengthof storms which may pose a risk to <strong>in</strong><strong>fr</strong>astructuresuch as salmon cages <strong>and</strong> to sea-level rise-<strong>in</strong>duced<strong>change</strong>s <strong>in</strong> shorel<strong>in</strong>e morphology which may <strong>change</strong>the location of habitats suitable for the <strong>in</strong>dustry.The emergence, spread <strong>and</strong> severity of diseases,parasites <strong>and</strong> pathogens, <strong>and</strong> the spread of nuisance<strong>and</strong> non‐native species could also potentially bedamag<strong>in</strong>g. In Irel<strong>and</strong> <strong>and</strong> the United K<strong>in</strong>gdom,ris<strong>in</strong>g temperatures may create the opportunity torear species adapted to warmer water. However,market forces are seen as the more important factorto determ<strong>in</strong>e whether exist<strong>in</strong>g farmed species will bedisplaced by new ones (Callaway et al., 2012).Past trends<strong>Climate</strong> <strong>change</strong> has had a number of effects <strong>in</strong> thenorth-eastern Atlantic, where 72 % of commonlyobserved species have responded to warm<strong>in</strong>g watersby chang<strong>in</strong>g their abundance <strong>and</strong>/or distribution(see Figure 4.4). Traditionally, exploited fish such ascod have moved further northwards <strong>in</strong> the region,particularly <strong>in</strong> the North Sea most likely as a result ofa shift <strong>in</strong> the thermal regime of the North Sea.Furthermore, warm<strong>in</strong>g seas have allowed potentiallynew exploitable stocks to move <strong>in</strong>to some areas.While warm<strong>in</strong>g can lead to an <strong>in</strong>crease <strong>in</strong> fishbiodiversity <strong>in</strong> a region, there is often a concurrentdecrease <strong>in</strong> the size structure of the fish population.For example, <strong>in</strong> the North Sea the relatively smallspecies sprat, anchovy <strong>and</strong> horse mackerel have<strong>in</strong>creased <strong>in</strong> recent decades, whereas the largerspecies cod <strong>and</strong> plaice have decreased at theirsouthern distribution limit (Perry, 2005). This <strong>change</strong>may have important socio‐economic consequences asthe stocks mov<strong>in</strong>g out of the North Sea tend to have ahigher value than the stocks mov<strong>in</strong>g <strong>in</strong>to it.As catch of wild fish species has been decreas<strong>in</strong>gwhile the dem<strong>and</strong> for fish <strong>and</strong> fish products has<strong>in</strong>creased, a large <strong>in</strong>crease <strong>in</strong> the total <strong>Europe</strong>anKey messages: 4.3 Fisheries <strong>and</strong> aquaculture• The effects of climate <strong>change</strong>, <strong>in</strong> particular of ocean warm<strong>in</strong>g, on wild fish distributions <strong>and</strong> aquacultureare difficult to dist<strong>in</strong>guish <strong>fr</strong>om those of high exploitation rates or technological developments.• Wild fish stocks seem to be respond<strong>in</strong>g to chang<strong>in</strong>g temperatures <strong>and</strong> food supply by chang<strong>in</strong>g theirgeographical distribution.• Future climate <strong>change</strong> is likely to lead to an <strong>in</strong>creased catch potential <strong>in</strong> the Arctic, <strong>and</strong> to a decreasedor constant catch potential <strong>in</strong> other <strong>Europe</strong>an seas.• <strong>Climate</strong> <strong>change</strong> can <strong>in</strong>fluence where aquaculture is possible, which species are raised, <strong>and</strong> the efficiencyof the production.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012181


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthFigure 4.4Observed <strong>change</strong> <strong>in</strong> the distribution of demersal fish <strong>in</strong> response to observed rise<strong>in</strong> sea surface temperaturesNorthernaff<strong>in</strong>itySouthernaff<strong>in</strong>ityNorway poutNorway redfishPoggeShorthorn sculp<strong>in</strong>Long-rough dabAtlantic codDabLemon soleHaddockL<strong>in</strong>gSaitheWitchPollackWhit<strong>in</strong>gThorny skateAnglerfishBlue whit<strong>in</strong>gFlounderThornback raySilvery codSticklebackHagfishMegrimPoor codHakeSpur dogGreater weeverFourbeard rockl<strong>in</strong>gPlaiceGrey gurnardPout<strong>in</strong>gDover soleDragonetLesser weeverScaldfishSpotted raySpotted dragonetRed mulletCuckoo rayTub gurnardThickback soleLesser spotted dogfishRed gurnardBoarfishRed b<strong>and</strong>fishSolenetteJohn doryBlackbelly rosefishPearlsidesSplendid alfons<strong>in</strong>o– 0.2 – 0.15 – 0.1 – 0.05 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35Abundance response to temperatureNote:Changes <strong>in</strong> abundance <strong>in</strong> response to observed temperature <strong>change</strong> are relative <strong>change</strong>s (unitless).Source: Simpson et al., 2011. Repr<strong>in</strong>ted with permission <strong>fr</strong>om Elsevier.aquaculture production has been observed overthe past 15 years (EEA, 2010). Today EU <strong>and</strong><strong>Europe</strong>an Free Trade Association (EFTA) aquacultureproduction is at a level of 1.8 million tonnes of fish,shellfish <strong>and</strong> crustaceans, generat<strong>in</strong>g a turnover ofEUR 3.2 billion <strong>and</strong> 65 000 jobs. Often aquacultureproduction is situated <strong>in</strong> coastal communities thatrely almost solely on <strong>in</strong>come <strong>fr</strong>om that <strong>in</strong>dustry, <strong>and</strong>hence these communities are vulnerable to <strong>change</strong>sthat affect the <strong>in</strong>dustry.ProjectionsProjections of <strong>change</strong>s <strong>in</strong> total catch of mar<strong>in</strong>efish <strong>and</strong> <strong>in</strong>vertebrates as a consequence only oftemperature <strong>change</strong>s has shown the potential of alarge-scale redistribution of global catch potentialwith an <strong>in</strong>crease <strong>in</strong> high latitude regions <strong>and</strong> a decl<strong>in</strong>e<strong>in</strong> the tropics. The exclusive economic zone (EEZ)regions with the highest <strong>in</strong>crease <strong>in</strong> catch potential byyear 2055 <strong>in</strong>clude Alaska (USA), Greenl<strong>and</strong>, Norway<strong>and</strong> Russia, whereas the biggest loss would occur <strong>in</strong>Chile, Ch<strong>in</strong>a, Indonesia <strong>and</strong> USA (exclud<strong>in</strong>g Alaska<strong>and</strong> Hawaii) (Cheung et al., 2009; 2012). Hence, thebiggest loss <strong>in</strong> catch potential is likely to occur outside<strong>Europe</strong>, but it would affect parts of the world that areparticularly vulnerable to such <strong>change</strong>s because of thehigh importance of fisheries to national economies<strong>and</strong> diets, <strong>and</strong> limited societal capacity to adapt topotential <strong>impacts</strong> <strong>and</strong> opportunities (Allison et al.,2009). Large differences <strong>in</strong> <strong>change</strong>d catch potentialare likely to occur with<strong>in</strong> <strong>Europe</strong>, with the greatest<strong>in</strong>crease <strong>in</strong> the Arctic.<strong>Climate</strong> <strong>change</strong> may create new opportunities foraquaculture, <strong>in</strong> particular by rais<strong>in</strong>g warm-waterspecies <strong>in</strong> previously unsuitable locations. Changes<strong>in</strong> aquaculture, however, also strongly depend onmarket forces <strong>and</strong> consumers' tastes, which may havea stronger <strong>in</strong>fluence on production than temperature<strong>and</strong> technological advancements.182 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.4 Human health4.4.1 OverviewRelevance<strong>Climate</strong> <strong>change</strong> is already contribut<strong>in</strong>g to the globalburden of disease <strong>and</strong> premature deaths. Nearlyall environmental <strong>and</strong> social <strong>impacts</strong> of climate<strong>change</strong> may ultimately affect human health throughalter<strong>in</strong>g weather patterns, <strong>change</strong>s <strong>in</strong> water <strong>and</strong>air quality, food quantity <strong>and</strong> quality, ecosystemsservices, livelihoods, <strong>in</strong><strong>fr</strong>astructure <strong>and</strong> migration(Figure 4.5). <strong>Climate</strong> <strong>change</strong> can affect exist<strong>in</strong>ghealth risks both positively <strong>and</strong> negatively, <strong>and</strong>it may <strong>in</strong>troduce new health risks to previouslyunaffected regions. The potential health benefits<strong>fr</strong>om milder w<strong>in</strong>ters <strong>in</strong> some regions are howevernot expected to outweigh the risk of negative healtheffects through direct <strong>and</strong> <strong>in</strong>direct, immediate<strong>and</strong> delayed risks of climate <strong>change</strong> (McMichaelet al., 2012). Two <strong>Europe</strong>an research projects ( 56 )estimated substantial health <strong>and</strong> welfare costsof climate <strong>change</strong> <strong>in</strong> <strong>Europe</strong> (Kovats et al., 2011)(see Section 5.5.2 for further <strong>in</strong>formation).<strong>Climate</strong> <strong>change</strong> may exacerbate exist<strong>in</strong>genvironmental problems, such as particulateemissions <strong>and</strong> high ozone concentrations, poseadditional challenges to provid<strong>in</strong>g susta<strong>in</strong>ablewater <strong>and</strong> sanitation services, <strong>and</strong> <strong>in</strong>crease a risk ofwater- <strong>and</strong> food-borne diseases, as well as affect thedistribution of <strong>in</strong>fectious diseases <strong>and</strong> their vectors(Confalonieri et al., 2007). Nearly half of over50 <strong>in</strong>fectious diseases that the EU Member Statesare currently required to report can be directlyor <strong>in</strong>directly affected by climate <strong>change</strong>; otherclimate‐sensitive diseases, <strong>in</strong>clud<strong>in</strong>g Chikungunyafever, Lyme borreliosis, tick‐borne encephalitis,<strong>and</strong> visceral leishmaniasis are consideredemerg<strong>in</strong>g <strong>in</strong>fectious diseases due to climate <strong>change</strong>(L<strong>in</strong>dgren et al., 2012).All people are affected by climate <strong>change</strong>, but thehealth effects depend largely on their <strong>vulnerability</strong>(e.g. age, pre-exist<strong>in</strong>g diseases) <strong>and</strong> their ability toadapt, l<strong>in</strong>ked to ecological, social, economic <strong>and</strong>cultural factors, <strong>in</strong>clud<strong>in</strong>g education <strong>and</strong> access tohealthcare among others (EEA, 2010a). Vulnerablepopulation groups <strong>in</strong>clude the elderly <strong>and</strong> children,the urban poor, traditional societies, subsistencefarmers, <strong>and</strong> coastal populations (WHO, 2011a).The populations <strong>in</strong> some <strong>Europe</strong>an regions, suchas the Arctic or the Mediterranean, are particularlyvulnerable. The Mediterranean is especially proneto an <strong>in</strong>tensification of heat waves <strong>and</strong> droughts(Diffenbaugh et al., 2007), which can put pressureon exist<strong>in</strong>g ecosystems <strong>and</strong> life support systems,such as water, food <strong>and</strong> energy supply. In theArctic, <strong>change</strong>s <strong>in</strong> temperature <strong>and</strong> precipitation(see Section 2.2), melt<strong>in</strong>g of perma<strong>fr</strong>ost <strong>and</strong>decreas<strong>in</strong>g sea ice (see Section 2.3), coastal erosion(see Section 3.2), l<strong>and</strong>scape transformation <strong>and</strong>biodiversity <strong>change</strong> (see Section 3.4) can affectthe lifestyle <strong>and</strong> culture of the <strong>in</strong>digenous people.<strong>Climate</strong> <strong>change</strong> is also expected to <strong>in</strong>fluence theexposure to some contam<strong>in</strong>ants (mercury, radionuclides <strong>and</strong> persistent organic pollutants) <strong>and</strong>to affect dietary habits. All these <strong>change</strong>s haveimplications for human health (Curtis et al., 2005;Confalonieri et al., 2007; Kallenborn et al., 2011).Key messages: 4.4 Human health• <strong>Climate</strong> <strong>change</strong> is already contribut<strong>in</strong>g to the burden of disease <strong>and</strong> premature deaths <strong>in</strong> <strong>Europe</strong>.Its ma<strong>in</strong> health effects are related to extreme weather events, <strong>change</strong>s <strong>in</strong> the distribution ofclimate‐sensitive diseases, <strong>and</strong> <strong>change</strong>s <strong>in</strong> environmental <strong>and</strong> social conditions.• Quantitative projections of future climate-sensitive health risks are difficult due to the complexrelationship between climatic <strong>and</strong> non‐climatic factors, climate-sensitive disease <strong>and</strong> other healthoutcomes.• Adverse <strong>impacts</strong> of future climate <strong>change</strong> are projected to outweigh beneficial <strong>impacts</strong> on the globalscale. The health costs are also estimated to be substantial <strong>in</strong> <strong>Europe</strong>.( 56 ) <strong>Climate</strong>Cost — the Full Costs of <strong>Climate</strong> Change — FP 7 project (http://www.climatecost.cc); PESETA — Projection of Economic<strong>impacts</strong> of climate <strong>change</strong> <strong>in</strong> Sectors of the <strong>Europe</strong>an Union based on boTtom-up Analysis (http://peseta.jrc.ec.europa.eu).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012183


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthFigure 4.5Impact pathways of climate <strong>change</strong> on human healthSusta<strong>in</strong>able development <strong>and</strong> mitigationExtreme weather eventsMortality, morbidity <strong>and</strong> stress<strong>Climate</strong> <strong>change</strong>Long-term<strong>change</strong>s <strong>in</strong> climateInter-annualclimate variabilityShort-term climatevariabilityExtreme eventsEnvironmentalconditionsDirect exposures (extreme events)Indirect exposures(through <strong>change</strong>s <strong>in</strong> vectorecology, food yields, etc.)Socio-economicconditionsSocial <strong>and</strong> economic disruptionHealth system's conditionsAir pollutionRespiratory <strong>and</strong> cardiovasculardiseasesVector- <strong>and</strong> rodent-borne diseaseMalariaEncephalitisHantavirusWest-Nile feverLyme diseaseWater- <strong>and</strong> food-borne diseasesCryptosporidiosisCampylobacterLeptospiriosisToxic <strong>in</strong>fections (mycotox<strong>in</strong>s)Seasonality <strong>in</strong> gastro-<strong>in</strong>test<strong>in</strong>aldiseasesWater stressSk<strong>in</strong> <strong>and</strong> eye diseasesInfectious diseasesAdaptation <strong>and</strong> prevention, health promotion <strong>and</strong> protectionFood supplyMalnutritionRefugees/migrationSource: Wolf, 2011, adapted <strong>fr</strong>om Confalonieri et al., 2007.Selection of <strong>in</strong>dicatorsThis section presents the follow<strong>in</strong>g <strong>in</strong>dicators on thema<strong>in</strong> climate-sensitive health risks <strong>in</strong> <strong>Europe</strong>:• Floods <strong>and</strong> health (address<strong>in</strong>g both coastal <strong>and</strong>river floods);• Extreme temperatures <strong>and</strong> health;• Air pollution by ozone <strong>and</strong> health;• Vector-borne diseases.The next subsection presents an overview ofextreme weather events <strong>and</strong> health. In addition,the conclud<strong>in</strong>g subsection provides <strong>in</strong>formation onthe l<strong>in</strong>ks between climate <strong>change</strong> <strong>and</strong> water- <strong>and</strong>food‐borne diseases, where the available <strong>in</strong>formationis not sufficient to be presented as an <strong>in</strong>dicator.Data needs <strong>and</strong> uncerta<strong>in</strong>tyAttribution of health effects to climate <strong>change</strong> isdifficult due to the complexity of <strong>in</strong>teractions, <strong>and</strong>potentially modify<strong>in</strong>g effects of a range of otherfactors (such as l<strong>and</strong> use <strong>change</strong>s, public healthpreparedness, <strong>and</strong> socio‐economic conditions)(Wardekker et al., 2012). Criteria for def<strong>in</strong><strong>in</strong>g aclimate-sensitive health impact are not always wellidentified <strong>and</strong> their detection sometimes relies oncomplex statistical or modell<strong>in</strong>g studies (e.g. health<strong>impacts</strong> of heat waves). Furthermore, these criteriaas well as the completeness <strong>and</strong> reliability ofobservations may differ between regions <strong>and</strong>/or<strong>in</strong>stitutions, <strong>and</strong> they may <strong>change</strong> over time. Dataavailability <strong>and</strong> quality is crucial <strong>in</strong> climate <strong>change</strong><strong>and</strong> human health assessments, both for longerterm <strong>change</strong>s <strong>in</strong> climate-sensitive health outcomes,<strong>and</strong> for health <strong>impacts</strong> of extreme events. Themonitor<strong>in</strong>g of climate-sensitive health effects is184 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthcurrently <strong>fr</strong>agmentary <strong>and</strong> heterogeneous. All thesefactors make it difficult to identify significant trends<strong>in</strong> climate-sensitive health outcomes over time, <strong>and</strong>to compare them across regions. In the absenceof reliable time series, more complex approachesare often used to assess the past, current or future<strong>impacts</strong> of climate <strong>change</strong> on human health.The l<strong>in</strong>ks between climate <strong>change</strong> <strong>and</strong> health arethe subject of <strong>in</strong>tense research <strong>in</strong> <strong>Europe</strong> (e.g. theprojects cCASHh ( 57 ), EDEN ( 58 ), EDENext ( 59 ), <strong>and</strong><strong>Climate</strong>-TRAP ( 60 )). Furthermore, the <strong>Europe</strong>anCentre for Disease Prevention <strong>and</strong> Control (ECDC)<strong>and</strong> the World Health Organization (WHO) performcrucial work <strong>in</strong> this area.The ECDC has numerous projects <strong>in</strong>vestigat<strong>in</strong>g thel<strong>in</strong>ks between climate <strong>change</strong> <strong>and</strong> communicablediseases. It has developed the <strong>Europe</strong>anEnvironment <strong>and</strong> Epidemiology (E3) networkwhich will promote geospatial <strong>in</strong>fectious diseasemodell<strong>in</strong>g <strong>in</strong> <strong>Europe</strong>. Additionally, ECDC hasmultiple ongo<strong>in</strong>g projects assess<strong>in</strong>g the impact ofclimate <strong>change</strong> on food-, water-, <strong>and</strong> vector-bornedisease transmission <strong>in</strong> <strong>Europe</strong>, <strong>and</strong> ECDC has alsoestablished a pan-<strong>Europe</strong>an network dedicated tovector surveillance, VBORNET.The WHO Regional Office for <strong>Europe</strong> works onclimate <strong>change</strong> <strong>and</strong> health s<strong>in</strong>ce 1997. The activities<strong>in</strong>clude the assessment of the health effects, thedevelopment of measures to protect populationhealth <strong>fr</strong>om climate <strong>change</strong> <strong>and</strong> to <strong>in</strong>tegrate health <strong>in</strong>climate <strong>change</strong> related policies. WHO has developednumerous tools <strong>and</strong> methods, monitors trends overtime <strong>and</strong> advocates evidence based solutions. Inthe context of the climate environment <strong>and</strong> health<strong>in</strong>formation system sixteen <strong>in</strong>dicators help tomonitor trends over time at the national level. WHOguides research <strong>and</strong> development on data collection,analysis <strong>and</strong> future scenarios.Data availability — the case of databases fornatural disastersCurrently, worldwide databases for naturaldisasters, such as EM-DAT/CRED ( 61 ), theDartmouth Flood Observatory ( 62 ) (DFO), orNatCatSERVICE of Munich RE ( 63 ) are available for<strong>Europe</strong>-wide studies. The databases are compiled<strong>fr</strong>om various sources; the def<strong>in</strong>itions, thresholds,classification criteria, report<strong>in</strong>g approaches, etc.differ <strong>and</strong> need to be considered when apply<strong>in</strong>g <strong>and</strong><strong>in</strong>terpret<strong>in</strong>g the data. In general, larger disasters arecaptured well <strong>in</strong> the databases, while they are lessaccurate for smaller events, which still may have asignificant impact (WHO <strong>and</strong> HPA, Forthcom<strong>in</strong>g). Inorder to be <strong>in</strong>cluded <strong>in</strong> EM-DAT, a disaster needs tomeet one of the follow<strong>in</strong>g criteria: 10 or more peoplereported killed, a hundred or more people reportedaffected, declaration of a state of emergency, or callfor <strong>in</strong>ternational assistance. The criteria for def<strong>in</strong><strong>in</strong>ga flood are 'a significant rise of water level <strong>in</strong> astream, lake, reservoir or coastal region' <strong>and</strong> <strong>in</strong>cludegeneral river floods, flash floods <strong>and</strong> storm surgesor coastal flood<strong>in</strong>g (Below et al., 2009). The DFO<strong>in</strong>cludes only floods that appear to be 'large', basedon a significant damage to structures or agriculture,long reported <strong>in</strong>tervals (decades) s<strong>in</strong>ce the lastsimilar event, <strong>and</strong>/or fatalities; it is not specificallydef<strong>in</strong>ed what constitutes a flood, but it does considerthe ma<strong>in</strong> cause of the flood. The DFO is likely tocapture more flood events than EM-DAT, as anylarge flood event is recorded as a flood, whereasEM-DAT may classify it as another type of disaster;(tropical) storms are only <strong>in</strong>cluded <strong>in</strong> case they alsocause flood<strong>in</strong>g.Multiple count<strong>in</strong>g may occur <strong>in</strong> the case ofevents affect<strong>in</strong>g several countries. An importantconsideration is the <strong>in</strong>creased report<strong>in</strong>g of eventsover the past few decades. Therefore, an analysis ofthe <strong>in</strong>formation over time may reveal an <strong>in</strong>creasedue mostly to improvements <strong>in</strong> data collection.Furthermore, different <strong>in</strong>formation sources, <strong>and</strong>use of a range of different assessment methods<strong>and</strong> rationales, may further <strong>in</strong>crease uncerta<strong>in</strong>tyregard<strong>in</strong>g attribution of <strong>impacts</strong> (i.e. casualties,losses, etc.) associated with each event.( 57 ) cCASHh — <strong>Climate</strong> <strong>change</strong> <strong>and</strong> adaptation strategies for human health <strong>in</strong> <strong>Europe</strong> — the EC FP5 project (http://ec.europa.eu/research/environment/pdf/env_health_projects/climate_<strong>change</strong>/cl-ccashh.pdf).( 58 ) EDEN — Emerg<strong>in</strong>g Diseases <strong>in</strong> a chang<strong>in</strong>g <strong>Europe</strong>an eNvironment — the EC FP6 project (http://www.eden-fp6project.net/).( 59 ) EDENext — Biology <strong>and</strong> control of vector-borne <strong>in</strong>fections <strong>in</strong> <strong>Europe</strong> — the EC FP7 project (http://www.edenext.eu/).( 60 ) <strong>Climate</strong>-TRAP – Tra<strong>in</strong><strong>in</strong>g, Adaptation, Preparedness of the Health Care System to <strong>Climate</strong> Change (http://www.climatetrap.eu/).( 61 ) See http://www.emdat.be/.( 62 ) See http://floodobservatory.colorado.edu/.( 63 ) See http://www.munichre.com/en/re<strong>in</strong>surance/bus<strong>in</strong>ess/non-life/georisks/natcatservice/default.aspx.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012185


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.4.2 Extreme weather events <strong>and</strong> health —an overviewRelevanceExtreme weather events, such as heat waves <strong>and</strong>w<strong>in</strong>dstorms (see Section 2.2), floods <strong>and</strong> droughts(see Section 3.3), <strong>and</strong> storm surges (see Section 3.2.3)have <strong>impacts</strong> on human health (Kirch et al., 2005;Confalonieri et al., 2007; EEA, 2011a). However,human <strong>vulnerability</strong> to extreme weather events isdeterm<strong>in</strong>ed by a complex set of factors.Evidence suggests that globally, climate <strong>change</strong>has led to <strong>change</strong>s <strong>in</strong> climate extremes, <strong>in</strong>clud<strong>in</strong>gheat waves, record high temperatures <strong>and</strong>, <strong>in</strong>many regions, heavy precipitation <strong>in</strong> the past halfcentury. If vulnerable populations are exposed tosuch climate extremes, or a series thereof, this canlead to climate-related disasters with substantialhealth <strong>impacts</strong> (IPCC, 2012) ( 64 ). There are regionaldifferences <strong>in</strong> observed <strong>change</strong>s; for example,while there is high confidence that heat wavesbecome more severe <strong>in</strong> southern <strong>Europe</strong> <strong>and</strong> theMediterranean, there is less confidence <strong>in</strong> thesignificance of the observed trend <strong>in</strong> central <strong>and</strong>northern <strong>Europe</strong>.Past trendsAccord<strong>in</strong>g to the EM-DAT <strong>in</strong>ternational disasterdatabase ( 65 ), heat waves were the deadliest extremeweather events <strong>in</strong> 1980–2011 <strong>in</strong> <strong>Europe</strong>, particularly<strong>in</strong> southern <strong>and</strong> western <strong>Europe</strong>. Cold events <strong>and</strong>storms were the deadliest weather extremes <strong>in</strong>eastern <strong>Europe</strong> <strong>and</strong> <strong>in</strong> northern <strong>Europe</strong>, respectively.Floods <strong>and</strong> wet mass movements, <strong>in</strong>clud<strong>in</strong>gl<strong>and</strong>slides, were l<strong>in</strong>ked to the highest death rates<strong>in</strong> southern <strong>and</strong> eastern <strong>Europe</strong>, wildfires <strong>in</strong>southern <strong>Europe</strong>, while the deadliest storms werereported <strong>in</strong> northern <strong>and</strong> western <strong>Europe</strong> (Table 4.2).However, the comparability of the data over timeis very limited (see above under 'Data needs <strong>and</strong>uncerta<strong>in</strong>ty'). Furthermore, the <strong>in</strong>terpretation of thetime series can be dom<strong>in</strong>ated by a s<strong>in</strong>gle extremeevent, such as a heat wave of the summer 2003, withover 70 000 excess deaths (June–September 2003)<strong>in</strong> southern <strong>and</strong> western <strong>Europe</strong>. Also <strong>in</strong> case offlood-related fatalities, the overall number of deathsdepends strongly on s<strong>in</strong>gle events.The number of reported climate-related disasters<strong>in</strong> <strong>Europe</strong> has <strong>in</strong>creased between 1980 <strong>and</strong> 2011(Figure 4.6). However, such figures also need to be<strong>in</strong>terpreted with caution. As concluded <strong>in</strong> a recentTable 4.2Number of people killed due to extreme weather events <strong>and</strong> wildfire by <strong>Europe</strong>anregion (1980–2011)Flood <strong>and</strong>wet massmovement ( a )Cold event Heat wave Storm WildfireEastern <strong>Europe</strong> 0.81 2.36 1.15 0.17 0.05Northern <strong>Europe</strong> 0.10 0.12 0.34 0.41 0.00Southern <strong>Europe</strong> 1.23 0.13 21.00 0.21 0.15Western <strong>Europe</strong> 0.27 0.06 18.76 0.37 0.02Total 2.41 2.68 41.24 1.16 0.22Note:( a ) <strong>in</strong>clud<strong>in</strong>g l<strong>and</strong>slides.Numbers are per 10 000 people. Country group<strong>in</strong>g, as reported to EM-DAT/CRED: eastern <strong>Europe</strong>: Bulgaria, the CzechRepublic, Hungary, Pol<strong>and</strong>, Romania, Slovakia; northern <strong>Europe</strong>: Denmark, Estonia, F<strong>in</strong>l<strong>and</strong>, Icel<strong>and</strong>, Irel<strong>and</strong>, Latvia,Lithuania, Norway, Sweden, the United K<strong>in</strong>gdom; southern <strong>Europe</strong> <strong>and</strong> Western Asia: Albania, Bosnia <strong>and</strong> Herzegov<strong>in</strong>a,Croatia, Cyprus, Greece, Italy, former Yugoslav Republic of Macedonia, Montenegro, Portugal, Serbia, Slovenia, Spa<strong>in</strong>,Turkey; western <strong>Europe</strong>: Austria, Belgium, France, Germany, Luxembourg, the Netherl<strong>and</strong>s, Switzerl<strong>and</strong>.Population rates calculated us<strong>in</strong>g population data <strong>fr</strong>om 2010.Source: EM-DAT; Eurostat; World Bank.( 64 ) Note that the term '<strong>vulnerability</strong>' is used <strong>in</strong> this section follow<strong>in</strong>g its general use <strong>in</strong> epidemiology <strong>and</strong> public health, where itdescribes the relationship between exposure to a health hazard <strong>and</strong> the health effect. This use is closer to the term 'sensitivity' <strong>in</strong>the IPCC Fourth Assessment Report. For further discussion of this term, see Section 1.7.( 65 ) See http://www.emdat.be/.186 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthstudy of weather-related disasters (Visser et al.,2012), trend patterns <strong>in</strong> disaster burden, <strong>in</strong> termsof people affected <strong>and</strong> economic loss, are difficultto expla<strong>in</strong> s<strong>in</strong>ce several <strong>in</strong>terl<strong>in</strong>ked factors play arole. These <strong>in</strong>clude: <strong>change</strong>s <strong>in</strong> wealth, <strong>change</strong>s<strong>in</strong> population numbers, <strong>change</strong>s <strong>in</strong> <strong>in</strong>tensity or<strong>fr</strong>equency of extreme weather events, <strong>and</strong> <strong>change</strong>s<strong>in</strong> <strong>vulnerability</strong>. Therefore, a direct attributionof <strong>change</strong>s <strong>in</strong> disaster burden to one specificfactor, such as climate <strong>change</strong>, should be avoided(Visser et al., 2012).Projections<strong>Climate</strong> <strong>change</strong> is expected to affect the <strong>fr</strong>equency<strong>and</strong> severity of extreme weather events (IPCC,2012). Long-term climate extremes, such as heatwaves <strong>and</strong> droughts, are expected to <strong>in</strong>crease,while the direction of <strong>change</strong>s is uncerta<strong>in</strong> forshort-term meteorological extremes, such as storms(see Section 2.2.6). Model projections show a likely<strong>in</strong>crease for hydrological extremes (i.e. floods). Suchan <strong>in</strong>crease is more likely for coastal floods due toprojected sea-level rise (see Section 3.2.2) than forriver floods (see Section 3.3.3).While there are no comprehensive projections onhealth risks of climate <strong>change</strong> <strong>in</strong> <strong>Europe</strong>, someestimates of the projected health <strong>impacts</strong> related tocoastal <strong>and</strong> river floods, temperature, as well as onair quality <strong>and</strong> a food-borne disease (salmonellosis),are available through EU research projects (Feyen<strong>and</strong> Watkiss, 2011; Kovats et al., 2011; Watkiss <strong>and</strong>Hunt, 2012). They are presented with the respective<strong>in</strong>dicators <strong>in</strong> the rema<strong>in</strong>der of this section (see alsoSection 5.5.2).Figure 4.6Number of reported extreme weather events <strong>and</strong> wildfire <strong>in</strong> EEA member <strong>and</strong>collaborat<strong>in</strong>g countries (1980–2011)Number of events90807060504030201001980 1985 1990 1995 2000 2005 2010Drought <strong>and</strong> mass movement dry Wildfire Heat waveFlood <strong>and</strong> mass movement wet Storm Cold eventSource:EM-DAT/CRED.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012187


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.4.3 Floods <strong>and</strong> healthRelevance<strong>Climate</strong> <strong>change</strong> can <strong>in</strong>crease the severity <strong>and</strong><strong>fr</strong>equency of extreme weather events, such asheavy precipitation (see Section 2.2.5), storms (seeSection 2.2.6), <strong>and</strong> storm surges (see Section 3.2.3).Floods caused by these events can affect peopleimmediately (e.g. through drown<strong>in</strong>g <strong>and</strong> <strong>in</strong>juries),but also a long time after the event (e.g. throughthe destruction of homes, water shortages,displacement, disruption of essential services <strong>and</strong>f<strong>in</strong>ancial loss) <strong>and</strong> especially through the stressflood victims are exposed to (WHO <strong>and</strong> HPA,Forthcom<strong>in</strong>g; Ahern et al., 2005; Paranjothy et al.,2011; Stanke et al., 2012).Past trendsEstimates for the WHO <strong>Europe</strong>an Region basedon a comb<strong>in</strong>ation of data <strong>fr</strong>om EM-DAT <strong>and</strong>DFO <strong>in</strong>dicate that floods have killed more than1 000 people <strong>and</strong> affected 3.4 million others <strong>in</strong>the period 2000–2009. Deaths <strong>fr</strong>om flood<strong>in</strong>g werehighest (on a per capita basis) <strong>in</strong> central <strong>and</strong> eastern<strong>Europe</strong> (WHO <strong>and</strong> HPA, Forthcom<strong>in</strong>g). Map 4.11shows the number of people affected by flood<strong>in</strong>g<strong>in</strong> the same period. The largest numbers (on a percapita basis) are found <strong>in</strong> south-eastern <strong>Europe</strong>,eastern <strong>Europe</strong> <strong>and</strong> central <strong>Europe</strong>.ProjectionsHeavy precipitation events are likely to becomemore <strong>fr</strong>equent <strong>in</strong> many regions <strong>in</strong> <strong>Europe</strong>(see Section 2.2.5). In the absence of adaptation,river flood<strong>in</strong>g is estimated to affect 250 000 to400 000 additional people per year <strong>in</strong> <strong>Europe</strong> by the2080s, which corresponds to more than a doubl<strong>in</strong>gwith respect to the 1961–1990 period. The <strong>in</strong>creaseis projected <strong>in</strong> central <strong>Europe</strong> <strong>and</strong> the British Isles(WHO <strong>and</strong> HPA, Forthcom<strong>in</strong>g).The PESETA project estimated that up to anadditional 1.6 million people each year <strong>in</strong> thenorthern Mediterranean, <strong>and</strong> northern <strong>and</strong> western<strong>Europe</strong> would experience coastal flood<strong>in</strong>g by 2080under the SRES A1FI scenario, unless additionaladaptation measures were taken. The number ofpeople affected by coastal flood<strong>in</strong>g <strong>in</strong> the EU rangesbetween 775 000 to 5.5 million people, depend<strong>in</strong>gon the emissions scenario (Ciscar et al., 2011).Under the high sea-level rise scenario (B2), mentalhealth <strong>impacts</strong> of coastal flood<strong>in</strong>g <strong>in</strong> the EU couldpotentially reach five million additional cases ofmild depression annually <strong>in</strong> the period 2071–2100;<strong>impacts</strong> presumably significantly reduced withadaptation (Watkiss <strong>and</strong> Hunt, 2012).Accord<strong>in</strong>g to the SRES A1B scenario, climate <strong>and</strong>socio‐economic <strong>change</strong> would lead <strong>in</strong> the EU to650 deaths per year by the 2080s due to coastalflood<strong>in</strong>g. Two thirds of these deaths would occur<strong>in</strong> western <strong>Europe</strong>. These estimates decreasesignificantly under the E1 mitigation scenario to185 (2080s) fatalities per year. Coastal adaptationmeasures can significantly reduce risks to lessthan 10 deaths per year <strong>in</strong> 2080 (<strong>fr</strong>om 650 withoutadaptation) (Kovats et al., 2011).Key messages: 4.4.3 Floods <strong>and</strong> health• River <strong>and</strong> coastal flood<strong>in</strong>g affect millions of people <strong>in</strong> <strong>Europe</strong> each year. They affect human healththrough drown<strong>in</strong>g, heart attacks, <strong>in</strong>juries, <strong>in</strong>fections, psychosocial consequences, <strong>and</strong> health effects ofchemical hazards as well as disruption of services.• Observed <strong>in</strong>creases <strong>in</strong> heavy precipitation <strong>and</strong> extreme coastal high-water events have led to more river<strong>and</strong> coastal flood<strong>in</strong>g <strong>in</strong> many <strong>Europe</strong>an regions.• Increases <strong>in</strong> health risks associated with river <strong>and</strong> coastal flood<strong>in</strong>g are projected <strong>in</strong> many regions of<strong>Europe</strong> due to projected <strong>in</strong>creases <strong>in</strong> extreme precipitation events <strong>and</strong> sea level.188 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.11Number of people affected by flood<strong>in</strong>g per million population <strong>in</strong> the WHO<strong>Europe</strong>an Region (annual average 2000–2011)-30°-20°-10°0°10°20°30°40°50°60°70°80°90°People (per million)affected by flood <strong>and</strong>wet mass movement(2000–2011)60°40°01–2 5002 500–5 0005 000–10 00010 000–50 000> 50 00050°30°40°The boundaries <strong>and</strong> names shown<strong>and</strong> the designations used on this mapdo not imply the expression of anyop<strong>in</strong>ion whatsoever on the part of theWorld Health Organization concern<strong>in</strong>gthe legal status of any country, territory,city or area or of its authorities, orconcern<strong>in</strong>g the delimitation of its<strong>fr</strong>ontiers or boundaries.0 500 1000 1500 km0°10°20°30°40°20°50° © WHO 2012Dotted l<strong>in</strong>es on maps representapproximate border l<strong>in</strong>es for which theremay not yet be full agreement.Note:'People affected', as def<strong>in</strong>ed <strong>in</strong> EM-DAT, are people who require immediate assistance dur<strong>in</strong>g a period of emergency, <strong>in</strong>clud<strong>in</strong>gdisplaced or evacuated people.GIS data source acknowledgement: Countries <strong>and</strong> Major Rivers, ESRI Data & Maps, © Environmental Systems ResearchInstitute Inc.EM-DAT/CRED <strong>and</strong> the Dartmouth Flood Observatory were analysed to determ<strong>in</strong>e the flooded countries <strong>in</strong> the WHO <strong>Europe</strong>anRegion <strong>and</strong> the impact of these floods (see text for details).Source: WHO <strong>and</strong> HPA (forthcom<strong>in</strong>g): Floods: Health effects <strong>and</strong> prevention <strong>in</strong> the WHO <strong>Europe</strong>an Region.4.4.4 Extreme temperatures <strong>and</strong> healthRelevanceTemperature affects human well-be<strong>in</strong>g <strong>and</strong>mortality. Both cold spells <strong>and</strong> heat waves havepublic health impact <strong>in</strong> <strong>Europe</strong>. Heat waves havecaused much higher fatalities <strong>in</strong> <strong>Europe</strong> <strong>in</strong> recentdecades than any other extreme weather event.For example, <strong>in</strong> Spa<strong>in</strong>, extreme heat accountedfor 1.6 % of all deaths <strong>in</strong> the warm seasons, <strong>and</strong>about 40 % of these deaths occurred <strong>in</strong> periodsthat would not be classified as heat waves, that ison isolated hot days (Basagaña et al., 2011). TheKey messages: 4.4.4 Extreme temperatures <strong>and</strong> health• Mortality <strong>and</strong> morbidity <strong>in</strong>crease, especially <strong>in</strong> vulnerable population groups, <strong>and</strong> general populationwell-be<strong>in</strong>g decreases dur<strong>in</strong>g extreme cold spells <strong>and</strong> heat waves, as well as above <strong>and</strong> below local <strong>and</strong>seasonal comfort temperatures, with different temperature thresholds <strong>in</strong> <strong>Europe</strong>.• The number of warm days <strong>and</strong> nights has <strong>in</strong>creased across <strong>Europe</strong> <strong>in</strong> recent decades. Heat waves overthe last decade have caused tens of thous<strong>and</strong>s of premature deaths <strong>in</strong> <strong>Europe</strong>.• Length, <strong>fr</strong>equency <strong>and</strong> <strong>in</strong>tensity of heat waves are very likely to <strong>in</strong>crease <strong>in</strong> the future. This <strong>in</strong>crease canlead to a substantial <strong>in</strong>crease <strong>in</strong> mortality over the next decades, especially <strong>in</strong> vulnerable groups, unlessadaptation measures are taken.• Cold-related mortality is projected to decrease <strong>in</strong> <strong>Europe</strong> due to climate <strong>change</strong> as well as better social,economic <strong>and</strong> hous<strong>in</strong>g conditions <strong>in</strong> many countries.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012189


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthlargest effect was observed among the elderly,but <strong>in</strong> some cities younger adults were affectedas well (D'Ippoliti et al., 2010; Bacc<strong>in</strong>i et al., 2011).Heat-related problems are largest <strong>in</strong> cities; amongmany <strong>in</strong>terrelated factors, the urban heat isl<strong>and</strong>effect plays an important role. Future climate<strong>change</strong> is very likely to <strong>in</strong>crease <strong>fr</strong>equency, <strong>in</strong>tensity<strong>and</strong> duration of heat waves. Dur<strong>in</strong>g hot weather,synergistic effects between high temperature <strong>and</strong>air pollution (PM10 <strong>and</strong> ozone) were observed.Long warm <strong>and</strong> dry periods <strong>in</strong> comb<strong>in</strong>ation withother factors can also lead to forest fires which haveshown to have severe health <strong>impacts</strong> (Analitis et al.,2012).Extreme cold can also significantly affect humanhealth. Excess w<strong>in</strong>ter mortality <strong>in</strong> Mediterraneancountries is higher than <strong>in</strong> northern <strong>Europe</strong>ancountries, <strong>and</strong> deaths often occur several days orweeks after the coldest day of a cold period (Healy,2003; Analitis et al., 2008).Besides extreme temperature events, temperaturesoutside a local comfort temperature range arel<strong>in</strong>ked to <strong>in</strong>creased mortality <strong>and</strong> other adversehealth outcomes. Several studies found J-shapedexposure‐response relationships with mortality<strong>and</strong> morbidity, <strong>in</strong>creas<strong>in</strong>g at both ends of thetemperature scale (Figure 4.7). Effects of heat occurmostly on the same day <strong>and</strong> <strong>in</strong> the follow<strong>in</strong>g threedays whereas cold effects were largest 2–3 weeksafter the event (WHO, 2011a; Ye et al., 2011).Figure 4.7Temperature-mortality relationship <strong>in</strong> 15 <strong>Europe</strong>an citiesLog mortality rateAthens Barcelona Budapest Dubl<strong>in</strong> Hels<strong>in</strong>ki4444433333222221111100000– 1– 1– 1– 1– 1– 2– 2– 2– 2– 2– 3– 3– 3– 3– 3– 5 0 10 20 30 40 – 5 0 10 20 30 40 – 5 0 10 20 30 40 – 5 0 10 20 30 40 – 5 0 10 20 30 40Log mortality rateLjubliana London Milan Paris Praha444443333322212201111– 10000– 2– 1– 1– 1– 1– 3– 2– 2– 2– 2– 3– 3– 3– 3– 5 0 10 20 30 40 – 5 0 10 20 30 40 – 5 0 10 20 30 40 – 5 0 10 20 30 40 – 5 0 10 20 30 40Log mortality rateRome Stockholm Tur<strong>in</strong> Valencia Zurich4444433333222221111100000– 1– 1– 1– 1– 1– 2– 2– 2– 2– 2– 3– 3– 3– 3– 3– 5 0 10 20 30 40 – 5 0 10 20 30 40 – 5 0 10 20 30 40 – 5 0 10 20 30 40 – 5 0 10 20 30 40Apparent temperature Apparent temperature Apparent temperature Apparent temperature Apparent temperatureNote:Figure shows relationship between daily maximum apparent temperature (Barcelona: mean apparent temperature) <strong>and</strong>natural mortality (black) <strong>and</strong> 95% confidence <strong>in</strong>terval (grey).Source: Bacc<strong>in</strong>i et al., 2008. © Lipp<strong>in</strong>cott Williams. Repr<strong>in</strong>ted with permission.190 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthPast trendsThe summer of 2003 was an outst<strong>and</strong><strong>in</strong>g exampleof <strong>in</strong>creased mortality dur<strong>in</strong>g periods of extremetemperatures, with an estimated prematuremortality of 70 000 people (Rob<strong>in</strong>e et al., 2008).Dur<strong>in</strong>g the summers of 2006, 2007 <strong>and</strong> 2010temperature records were aga<strong>in</strong> broken <strong>in</strong> differentparts of <strong>Europe</strong> (Barriopedro et al., 2011).The <strong>Europe</strong>an Mortality Monitor<strong>in</strong>g Project ( 66 )developed coord<strong>in</strong>ated rout<strong>in</strong>e mortality monitor<strong>in</strong>g<strong>in</strong> <strong>Europe</strong> but is not yet able to provide real-timedetection <strong>and</strong> documentation of heat wave effects onmortality.ProjectionsFuture climate <strong>change</strong> is very likely to <strong>in</strong>crease<strong>fr</strong>equency, <strong>in</strong>tensity <strong>and</strong> duration of heat waves,which leads to a marked <strong>in</strong>crease <strong>in</strong> heat-attributabledeaths under future warm<strong>in</strong>g (Bacc<strong>in</strong>i et al., 2011).Synergistic effects between high temperature <strong>and</strong>air pollution (PM 10<strong>and</strong> ozone) were observeddur<strong>in</strong>g hot weather. Long warm <strong>and</strong> dry periods<strong>in</strong> comb<strong>in</strong>ation with other factors can also leadto forest fires, which can also have severe health<strong>impacts</strong> (Analitis et al., 2012).Projections of heat-related mortality use evidence<strong>fr</strong>om epidemiological studies comb<strong>in</strong>ed with futurescenarios of climate, population <strong>and</strong> acclimatisationwith regionally specific temperature-mortalityrelationships (Bacc<strong>in</strong>i et al., 2011). The PESETAproject estimates that heat-related mortality <strong>in</strong><strong>Europe</strong> <strong>in</strong> the 2080s will <strong>in</strong>crease by between60 000 <strong>and</strong> 165 000 (without adaptation <strong>and</strong>physiological acclimatisation, compared to thepresent basel<strong>in</strong>e). Cold-related mortality is projectedto decrease by between 60 000 <strong>and</strong> 250 000, whichis about the same magnitude as the <strong>in</strong>crease <strong>fr</strong>omheat-related mortality (Ciscar et al., 2011; Huanget al., 2011). Uncerta<strong>in</strong>ty <strong>in</strong> these estimates needsto be carefully addressed (Watkiss <strong>and</strong> Hunt,2012). A study cover<strong>in</strong>g most of <strong>Europe</strong> projects aprogressive <strong>change</strong> <strong>in</strong> the seasonality of maximummonthly mortality <strong>fr</strong>om w<strong>in</strong>ter to summer, an<strong>in</strong>crease <strong>in</strong> the <strong>fr</strong>equency of warm extremes <strong>and</strong> thatthe number of uncomfortable days will <strong>in</strong>crease.In the absence of adaptation, these <strong>change</strong>s wouldlead to a reduction <strong>in</strong> human lifespan of up to3–4 months <strong>in</strong> 2070–2100 (Ballester et al., 2011).The <strong>Climate</strong>Cost project estimates an additional26 000 deaths per year <strong>fr</strong>om heat by the 2020s(2011–2040), ris<strong>in</strong>g to 127 000 deaths per year bythe 2080s (2071–2100) under a medium to highemission (A1B) scenario, assum<strong>in</strong>g no adaptation.While heat-related mortality is projected to <strong>in</strong>creaseacross <strong>Europe</strong>, <strong>impacts</strong> would be highest <strong>in</strong> southern<strong>Europe</strong>. Under an E1 scenario, broadly equivalentwith stabilis<strong>in</strong>g global mean temperature <strong>in</strong>crease at2 °C above pre-<strong>in</strong>dustrial levels, <strong>impacts</strong> are reducedsignificantly, with an estimated 69 000 deathsper year by the 2080s. With acclimatisation, theestimated number of heat-related deaths decl<strong>in</strong>essubstantially to 13 000 per year <strong>in</strong> the 2020s,<strong>and</strong> 40 000 per year <strong>in</strong> the 2080s under the A1Bscenario; for the E1 scenario it is down to 18 000 peryear <strong>in</strong> the 2080s (Kovats et al., 2011). Similar toPESETA, these figures are subject to considerableuncerta<strong>in</strong>ties.( 66 ) EURO-Momo project (http://www.euromomo.eu/).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012191


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.4.5 Air pollution by ozone <strong>and</strong> healthRelevanceOzone is a greenhouse gas, but ground level ozone isprimarily an air pollutant, which is of high concern<strong>in</strong> <strong>Europe</strong> (Confalonieri et al., 2007; Monks et al.,2009; EEA, 2011b). Concentrations of ground‐levelozone are determ<strong>in</strong>ed by both precursor emissions<strong>and</strong> meteorological conditions, which also <strong>in</strong>fluencethe transport of ozone <strong>and</strong> its precursors betweencont<strong>in</strong>ents (UNECE, 2011). Ground-level ozone ishighly reactive <strong>and</strong> therefore harmful to vegetation,materials <strong>and</strong> human health. Short-term, high-levelexposure can cause breath<strong>in</strong>g problems <strong>and</strong> lungdiseases, trigger asthma, <strong>and</strong> reduce lung function.The estimated effects of excessive exposure to ozone(exceed<strong>in</strong>g the threshold of 70 μg/m 3 ) <strong>in</strong>clude about20 000 premature deaths, <strong>and</strong> 14 000 respiratoryhospital admissions every year <strong>in</strong> the EU-25, <strong>and</strong>up to 108 million person-days with m<strong>in</strong>or activityrestrictions, respiratory medication use, coughor lower respiratory symptoms (WHO, 2008a).Evidence of chronic effects (asthma <strong>and</strong> lungdevelopment) of long-term exposure to high ozonelevels is still limited (WHO, 2008a; UNECE, 2011).There is a scarce evidence that high ozone levelscan further <strong>in</strong>crease mortality dur<strong>in</strong>g heat waves(Filleul et al., 2006).<strong>in</strong> <strong>Europe</strong> have largely stagnated. Meteorologicalvariability <strong>and</strong> climate <strong>change</strong> could play a role<strong>in</strong> this discrepancy, <strong>in</strong>clud<strong>in</strong>g by <strong>in</strong>creas<strong>in</strong>gemissions of biogenic non‐methane volatile organiccompounds (NMVOCs) dur<strong>in</strong>g wildfires, but<strong>in</strong>creas<strong>in</strong>g <strong>in</strong>tercont<strong>in</strong>ental transport of ozone <strong>and</strong>its precursors <strong>in</strong> the Northern Hemisphere alsoneeds to be considered (EEA, 2010b; c). Formationof tropospheric ozone <strong>fr</strong>om <strong>in</strong>creased concentrationsof CH 4may also contribute to the susta<strong>in</strong>ed ozonelevels <strong>in</strong> <strong>Europe</strong> (EEA, 2012).The relative contributions of local or regionalemission reduction measures, specificmeteorological conditions (such as heat waves),hemispheric transport of air pollution <strong>and</strong> emissions<strong>fr</strong>om natural sources (such as wildfires), on overallozone concentrations is difficult to estimate.A statistical analysis of ozone <strong>and</strong> temperaturemeasurements <strong>in</strong> <strong>Europe</strong> for 1993–2004 shows that<strong>in</strong> central-western <strong>Europe</strong> <strong>and</strong> the MediterraneanFigure 4.8O 3(μg/m 3 )Annual mean ozoneconcentrations (1999–2009)by station type100Past trendsThere is no clear trend <strong>in</strong> the annual meanconcentration of ozone recorded at differenttypes of stations (urban vs. rural) over the period1999–2009, although there is a slight decreas<strong>in</strong>gtendency s<strong>in</strong>ce 2006 <strong>in</strong> rural stations, at variousgeographical levels, both low-level <strong>and</strong> high‐level(Figure 4.8). Meanwhile, a slight tendencytowards <strong>in</strong>creased annual mean concentrationsis detected close to traffic. Ozone precursoremissions <strong>in</strong> <strong>Europe</strong> have been cut substantiallyrecently whereas average ozone concentrations75502501998 2000 2002 2004 2006 2008 2010Urban Traffic Rural — low Rural — highSource: EEA, 2011b.Key messages: 4.4.5 Air pollution by ozone <strong>and</strong> health• Ozone is both an important air pollutant <strong>and</strong> a GHG. Excessive exposure to ground-level ozone isestimated to cause about 20 000 premature deaths per year <strong>in</strong> <strong>Europe</strong>.• Attribution of observed ozone exceedances, or <strong>change</strong>s there<strong>in</strong>, to <strong>in</strong>dividual causes, such as climate<strong>change</strong>, is difficult.• Future climate <strong>change</strong> is expected to <strong>in</strong>crease ozone concentrations but this effect will most likely beoutweighed by reduction <strong>in</strong> ozone levels due to expected future emission reductions.192 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healtharea a <strong>change</strong> <strong>in</strong> the <strong>in</strong>crease <strong>in</strong> daily maximumtemperatures <strong>in</strong> 2000–2004 compared with 1993–1996contributed to extra ozone exceedances. In southern<strong>and</strong> central <strong>Europe</strong>, the observed temperature trendwas responsible for 8 extra annual exceedance days(above the threshold of 120 μg/m³) on average,which corresponds to 17 % of the total number ofexceedances observed <strong>in</strong> that region (EEA, 2008).A modell<strong>in</strong>g study suggests that observed climatevariability <strong>and</strong> <strong>change</strong> have contributed to <strong>in</strong>creasedozone concentrations dur<strong>in</strong>g the period 1979–2001<strong>in</strong> large parts of central <strong>and</strong> southern <strong>Europe</strong>(Andersson et al., 2007). The reason for this is acomb<strong>in</strong>ation of <strong>change</strong>s <strong>in</strong> temperature, w<strong>in</strong>dpatterns, cloud cover <strong>and</strong> atmospheric stability.Temperature plays a role <strong>in</strong> various processeswhich directly affect the formation of ozone, like theemission of biogenic NMVOCs, for example isoprene,<strong>and</strong> the photo-dissociation of nitrogen dioxide (NO 2).A study by (Wilson et al., 2012) showed that ozonetrends <strong>in</strong> <strong>Europe</strong> <strong>in</strong> the years 1997–1998 were<strong>in</strong>fluenced by El Niño <strong>and</strong> biomass burn<strong>in</strong>g events<strong>and</strong> <strong>in</strong> the year 2003 by the heat wave <strong>in</strong> north-west<strong>Europe</strong>. The study did not conclude on the impactof emission reduction on long-term ozone trends,due to the <strong>in</strong>fluence of meteorological variability,<strong>change</strong>s <strong>in</strong> background ozone <strong>and</strong> shift <strong>in</strong> emissionsource patterns. Decreased anthropogenic emissionsof some ozone precursors (NO X, CO, <strong>and</strong> someNMVOCs) <strong>in</strong> the past two decades have reduced thenumber of peak ozone concentrations (EEA, 2011b;2012).In order to underst<strong>and</strong> historical troposphericozone trends, further retrospective sensitivityanalysis of precursor emission <strong>change</strong>s <strong>and</strong>h<strong>in</strong>dcast modell<strong>in</strong>g of ozone concentrations areneeded to quantify the impact <strong>and</strong> variability of thevarious factors <strong>in</strong>fluenc<strong>in</strong>g ozone levels. Map 4.12shows the estimated trends <strong>in</strong> tropospheric ozoneconcentrations over <strong>Europe</strong> for two time periodsderived <strong>fr</strong>om such h<strong>in</strong>dcast modell<strong>in</strong>g. There hasbeen a marked <strong>in</strong>crease <strong>in</strong> ozone concentrations <strong>in</strong>many regions <strong>fr</strong>om 1978 to 2001. However, tak<strong>in</strong>g<strong>in</strong>to account a longer perspective start<strong>in</strong>g <strong>fr</strong>om 1958,<strong>in</strong>creases are limited to a few <strong>Europe</strong>an regions.Unfortunately, more recent data is not available.Map 4.12 Modelled <strong>change</strong> <strong>in</strong> tropospheric ozone concentrations over <strong>Europe</strong>, 1958–2001<strong>and</strong> 1978–2001O3 1958-2001 O3 1979-20011958–20011978–2001Trend <strong>in</strong> tropospheric ozone concentrations due to climate variability <strong>and</strong> climate <strong>change</strong>– 10 – 5 – 2 –1 0 1 2 5 10% per decadeSource: Andersson et al., 2007, <strong>in</strong> EEA, 2008.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012193


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthProjections<strong>Climate</strong> <strong>change</strong> is expected to affect future ozoneconcentrations due to <strong>change</strong>s <strong>in</strong> meteorologicalconditions, as well as due to <strong>in</strong>creased emissions ofspecific ozone precursors (e.g. <strong>in</strong>creased isoprene<strong>fr</strong>om vegetation under higher temperatures)<strong>and</strong>/or emissions <strong>fr</strong>om wildfires that can <strong>in</strong>creaseunder periods of extensive drought. Most of thel<strong>in</strong>ks between <strong>in</strong>dividual climate factors <strong>and</strong> ozoneformation are well understood (Table 4.3) (Jacob<strong>and</strong> W<strong>in</strong>ner, 2009; Monks et al., 2009). Nevertheless,quantification of future levels of ground-level ozonerema<strong>in</strong>s uncerta<strong>in</strong> due to the complex <strong>in</strong>teractionof these processes. Available studies <strong>in</strong>dicate thatprojected climate <strong>change</strong> affects different regions <strong>in</strong><strong>Europe</strong> differently, by <strong>in</strong>creas<strong>in</strong>g average summerozone concentrations <strong>in</strong> southern <strong>Europe</strong> <strong>and</strong>decreas<strong>in</strong>g them over northern <strong>Europe</strong> <strong>and</strong> theAlps (Andersson <strong>and</strong> Engardt, 2010; Langner et al.,2012). Prelim<strong>in</strong>ary results <strong>in</strong>dicate that <strong>in</strong> a longtime perspective (2050 <strong>and</strong> beyond), envisagedemission reduction measures of ozone precursorshave a much larger effect on concentrations ofground-level ozone than climate <strong>change</strong> (Langneret al., 2011). <strong>Climate</strong> <strong>change</strong> <strong>in</strong> comb<strong>in</strong>ation with theemission reductions will <strong>in</strong>fluence the future levelsof ground‐level ozone.Table 4.3Selection of meteorological parameters that might <strong>in</strong>crease under future climate<strong>change</strong> <strong>and</strong> their impact on ozone levelsIncrease <strong>in</strong>… Results <strong>in</strong>…. Impact on ozone levels …Temperature Faster photochemistry Increases (high NO X)Decreases (low NO X)AtmospherichumidityIncreased biogenic emissions (VOC, NO)IncreaseIncreased ozone destruction Increases (high NO X)Decreases (low NO X)Drought events Decreased atmospheric humidity <strong>and</strong> higher temperatures IncreasesBlocked weatherpatternsPlant stress <strong>and</strong> reduced stomata open<strong>in</strong>gIncreased <strong>fr</strong>equency of wild firesMore <strong>fr</strong>equent episodes of stagnant airIncrease <strong>in</strong> summertime/dry season heat wavesIncreasesIncreasesIncreasesIncreasesNote:Level of underst<strong>and</strong><strong>in</strong>g of the process is marked with colours: green (good underst<strong>and</strong><strong>in</strong>g), orange (moderate underst<strong>and</strong><strong>in</strong>g)<strong>and</strong> red (poor underst<strong>and</strong><strong>in</strong>g).Source: Royal Society, 2008.194 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.4.6 Vector-borne diseasesRelevance<strong>Climate</strong> <strong>change</strong> can lead to significant shifts <strong>in</strong>the geographic <strong>and</strong> seasonal distribution rangesof vector-borne diseases <strong>in</strong> <strong>Europe</strong> (Semenza <strong>and</strong>Menne, 2009).<strong>Climate</strong> can affect vector-borne diseases byshorten<strong>in</strong>g the life-cycles of vectors <strong>and</strong> the<strong>in</strong>cubation periods of vector-borne pathogens,thereby potentially lead<strong>in</strong>g to larger vectorpopulations <strong>and</strong> higher transmission risks. Overthe longer term, seasonal <strong>change</strong>s could affectboth vectors <strong>and</strong> host animals, as well as humanbehaviours <strong>and</strong> l<strong>and</strong>-use patterns, thereby further<strong>in</strong>fluenc<strong>in</strong>g the geographical distribution, seasonalactivity <strong>and</strong> overall prevalence of vector‐bornediseases <strong>in</strong> <strong>Europe</strong> (L<strong>in</strong>dgren et al., 2012).Furthermore, climatic suitability is essential for thearrival, establishment <strong>and</strong> spread of 'exotic' diseasesthat are not currently established <strong>in</strong> cont<strong>in</strong>ental<strong>Europe</strong>. In addition to climate, the spread ofcommunicable diseases depends on a range of<strong>in</strong>terconnected ecological, economic <strong>and</strong> socialfactors, such as l<strong>and</strong>-use patterns <strong>and</strong> <strong>fr</strong>agmentation;biological diversity; the capacity of public healthsystems; travel, trade <strong>and</strong> migration; <strong>and</strong> humanbehaviours affect<strong>in</strong>g <strong>in</strong>dividual risk factors (EEA,2010a; Suk <strong>and</strong> Semenza, 2011).Past trendsVector-borne diseases are an emerg<strong>in</strong>g publichealth issue <strong>in</strong> <strong>Europe</strong>. Lyme borreliosis is the mostcommon vector-borne disease <strong>in</strong> the EU, with areported <strong>in</strong>cidence of approximately 85 000 casesper year. The mean number of reported cases oftick-borne encephalitis (TBE) <strong>in</strong> <strong>Europe</strong> has beenalmost 2 900 per year dur<strong>in</strong>g the period 2000–2010(ECDC, 2011). However, these numbers need to beconsidered with care due to difficulties <strong>in</strong> diagnosis<strong>and</strong> case def<strong>in</strong>ition. Thus, the overall burden ofthese tick-borne diseases <strong>in</strong> <strong>Europe</strong> rema<strong>in</strong>s unclear.Mosquito-borne diseases have not been a substantialconcern with<strong>in</strong> <strong>Europe</strong> until recently. However,locally transmitted outbreaks of Chikungunya,Dengue <strong>and</strong> even malaria have occurred <strong>in</strong> recentyears. Periodical outbreaks have been reported <strong>in</strong>Greece <strong>and</strong> possibly neighbour<strong>in</strong>g countries forleishmaniasis, a disease transmitted by s<strong>and</strong>flieswhich naturally occur <strong>in</strong> southern <strong>Europe</strong>.Tick-borne diseasesTBE <strong>and</strong> Lyme borreliosis are the two mostimportant tick-borne diseases <strong>in</strong> <strong>Europe</strong>, transmittedprimarily by I. ric<strong>in</strong>us. A key determ<strong>in</strong>ant is theabundance of ticks, which is sensitive to climaticvariables, notably temperature. <strong>Climate</strong> <strong>change</strong>may shift the distribution range of I. ric<strong>in</strong>us towardshigher latitudes <strong>and</strong> altitudes, as milder w<strong>in</strong>tertemperatures, longer vegetation seasons <strong>and</strong> earlieronsets of summer appear <strong>and</strong> warmer temperaturesoccur (Jaenson <strong>and</strong> L<strong>in</strong>dgren, 2011). There havealready been reports on the northerly migration ofthe tick species <strong>in</strong> Sweden (L<strong>in</strong>dgren et al., 2000),<strong>and</strong> to higher altitudes <strong>in</strong> the Czech Republic(Daniel et al., 2003). Range shifts have also beenobserved <strong>in</strong> Germany <strong>and</strong> Norway (Semenza <strong>and</strong>Menne, 2009).Map 4.13 shows the risk of the Lyme diseasepathogen (Borrelia burgdorferi) <strong>in</strong> <strong>Europe</strong>. Highrisk is associated with mild w<strong>in</strong>ters, highsummer temperatures, low seasonal amplitude oftemperatures <strong>and</strong> high scores on vegetation <strong>in</strong>dices(Estrada-Pena et al., 2011).There are considerable differences between thedistribution of ticks <strong>and</strong> the observed <strong>in</strong>cidence ofTBE (Süss et al., 2006). There has been a markedKey messages: 4.4.6 Vector-borne diseases• The transmission cycles of vector-borne diseases are sensitive to climatic factors but also to l<strong>and</strong> use,vector control, human behaviour <strong>and</strong> public health capacities.• <strong>Climate</strong> <strong>change</strong> is regarded as the ma<strong>in</strong> factor beh<strong>in</strong>d the observed northward <strong>and</strong> upward move of thetick species Ixodes ric<strong>in</strong>us <strong>in</strong> parts of <strong>Europe</strong>.• <strong>Climate</strong> <strong>change</strong> is projected to lead to further northward <strong>and</strong> upward shifts <strong>in</strong> the distribution ofI. ric<strong>in</strong>us. It is also expected to affect the habitat suitability for a wide range of disease vectors,<strong>in</strong>clud<strong>in</strong>g Aedes albopictus <strong>and</strong> phlebotom<strong>in</strong>e species of s<strong>and</strong>flies, <strong>in</strong> both directions.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012195


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.13<strong>Europe</strong>an distribution of Borrelia burgdorferi <strong>in</strong> quest<strong>in</strong>g I. ric<strong>in</strong>us ticks-30°-20°-10°0°10°20°30°40°50°60°70°Risk ofBorrelia burgdorferisensu lato <strong>in</strong> nymphalIxodes ric<strong>in</strong>us ticks60°50°NullNegligibleLowModerateHighOutside study area50°40°40°0 500 1000 1500 km0°10°20°30°40°Note:The risks described <strong>in</strong> this figure are relative to each other accord<strong>in</strong>g to a st<strong>and</strong>ard distribution scale. Risk is def<strong>in</strong>ed as theprobability of f<strong>in</strong>d<strong>in</strong>g nymphal ticks positive for Borrelia burgdorferi. For each prevalence quartile, associated climate traitswere used to produce a qualitative evaluation of risk accord<strong>in</strong>g to Office International des Epizooties (OIE) st<strong>and</strong>ards at fivelevels (high, moderate, low, negligible, <strong>and</strong> null), which directly correlate with the probability of f<strong>in</strong>d<strong>in</strong>g nymphal ticks withprevalence <strong>in</strong> the four quartiles.Source: Adapted <strong>fr</strong>om Estrada-Pena et al., 2011. © American Society for Microbiology.upsurge of TBE <strong>in</strong> recent years but it is not currentlypossible to assess the relative importance of climatic<strong>change</strong>s <strong>and</strong> of other factors <strong>in</strong>fluenc<strong>in</strong>g disease<strong>in</strong>cidence, <strong>in</strong>clud<strong>in</strong>g vacc<strong>in</strong>ation coverage, tourismpatterns, public awareness, distribution of rodenthost populations <strong>and</strong> socio‐economic conditions(R<strong>and</strong>olph, 2008). There is limited evidence thattwo other tick-borne diseases may be sensitive toclimate <strong>change</strong>. Some models have suggested thatthe Mediterranean bas<strong>in</strong> has become suitable foran expansion of Crimean-Congo haemorrhagicfever (Maltezou <strong>and</strong> Papa, 2010), but demographicfactors <strong>and</strong> l<strong>and</strong>-use <strong>change</strong> may be more importantdrivers. Rickettsia has also exp<strong>and</strong>ed <strong>in</strong> recent years,but the reasons for this are not yet well understood(Gouriet et al., 2006).Mosquito-borne diseasesMosquito habitats are <strong>in</strong>fluenced by temperature,humidity <strong>and</strong> precipitation levels. The Asian tigermosquito (Aedes albopictus) is an important vector<strong>in</strong> <strong>Europe</strong> transmitt<strong>in</strong>g viral diseases, <strong>in</strong>clud<strong>in</strong>gChikungunya <strong>and</strong> Dengue. S<strong>in</strong>ce its establishment <strong>in</strong>Italy <strong>in</strong> 1990, A. albopictus has substantially extendedits range, aided by trade <strong>and</strong> travel; it is present<strong>in</strong> several EU countries <strong>and</strong> <strong>in</strong> some countriesneighbour<strong>in</strong>g the EU (Map 4.14). Even larger partsof <strong>Europe</strong> are climatically suitable for A. albopictus(Map 4.15, left).196 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.14 Change <strong>in</strong> distribution of Aedes albopictus <strong>in</strong> <strong>Europe</strong> between 2008 <strong>and</strong> 2011Note:Areas marked as '2011' <strong>in</strong>dicate that the tiger mosquito was detected <strong>in</strong> 2011 for the first time. They <strong>in</strong>clude areas of knowngeographical expansion of A. albopictus <strong>in</strong> France, northern Italy <strong>and</strong> Spa<strong>in</strong> where vector surveillance has been <strong>in</strong> place s<strong>in</strong>ce2008 but also areas <strong>in</strong> Albania, Greece, <strong>and</strong> central <strong>and</strong> southern Italy, where the first detection of the vector <strong>in</strong> 2011 couldbe the result of <strong>in</strong>creased vector surveillance rather than actual geographical expansion. '2008–2010' refers to all areaswhere the vector has been present before 2011. Indoor presence corresponds to the presence recorded <strong>in</strong> greenhouses.Source: See http://ecdc.europa.eu/en/activities/diseaseprogrammes/emerg<strong>in</strong>g_<strong>and</strong>_vector_borne_diseases/Pages/VBORNET.aspx.© <strong>Europe</strong>an Centre for Disease Prevention <strong>and</strong> Control, 2012.Several disease outbreaks transmitted by themosquito A. albopictus were recently reported <strong>in</strong><strong>Europe</strong>: Chikungunya <strong>in</strong> Italy (Rezza et al., 2007)<strong>and</strong> <strong>in</strong> France (Gr<strong>and</strong>adam, 2011), as well as localtransmissions of Dengue <strong>in</strong> France (La Ruche et al.,2010) <strong>and</strong> Croatia <strong>in</strong> 2010 (Gjenero-Margan et al.,2011). In all cases the virus has been importedto <strong>Europe</strong> by travellers. Some parts of <strong>Europe</strong>are currently climatically suitable to A. aegypti,a primary vector for Dengue (Map 4.15, right).Malaria was largely eradicated <strong>in</strong> <strong>Europe</strong> <strong>in</strong> thesecond half of the 20th century (Semenza <strong>and</strong>Menne, 2009). However, the malaria vectors(Anopheles mosquitos) are still present <strong>in</strong> much of<strong>Europe</strong>, <strong>and</strong> a few cases of local transmission occureach year (Florescu et al., 2011). The risk of malariare-establishment <strong>in</strong> a particular region dependson its receptivity, which refers to climatic <strong>and</strong>ecological factors favour<strong>in</strong>g malaria transmission<strong>and</strong> to vector abundance, <strong>and</strong> on <strong>vulnerability</strong>to <strong>in</strong>fection, which refers to either proximity tomalarial areas or <strong>in</strong>flux of <strong>in</strong>fected people <strong>and</strong>/or<strong>in</strong>fective mosquitoes (WHO, 2007).Human cases of West Nile Virus (WNV) arerelatively rare <strong>in</strong> <strong>Europe</strong>, <strong>and</strong> roughly 80 % ofthe cases are asymptomatic. The virus primarily<strong>in</strong>fects birds <strong>and</strong> is transmitted to humans throughmosquitoes (Culex sp.). WNV outbreaks <strong>in</strong> <strong>Europe</strong>have been associated with high temperature,ra<strong>in</strong>fall <strong>and</strong> humidity (Paz <strong>and</strong> Albersheim, 2008;Semenza <strong>and</strong> Menne, 2009; Paz, 2012). Other factors<strong>in</strong>fluenc<strong>in</strong>g the WNV risk <strong>in</strong>clude the populationsof migrat<strong>in</strong>g birds <strong>and</strong> reservoir hosts, <strong>and</strong> earlydetection <strong>and</strong> diagnosis.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012197


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.15Climatic suitability for the mosquitos Aedes albopictus <strong>and</strong> Aedes aegypti <strong>in</strong><strong>Europe</strong>-30° -20° -10°Aedes aegypti0°10°20°30°40°50°60°70°-30° -20° -10° 0°Aedes albopictus10°20°30°40°50°60°70°60°60°50°50°50°50°40°40°40°40°0 500 0° 1000 150010°km20°30°40°0 500 0° 1000 150010°km20°30°40°Climatic suitability for Aedes aegypti <strong>and</strong> Aedes albopictus (Asian tiger mosquito) <strong>in</strong> <strong>Europe</strong>Suitability (%)0–9 10–19 20–29 30–39 40–49 50–59 60–69 70–79 80–89 90–100 No predictionNote:Climatic suitability for the mosquitos Aedes albopictus (left) <strong>and</strong> Aedes aegypti (right) <strong>in</strong> <strong>Europe</strong>. Darker to lighter green<strong>in</strong>dicates conditions not suitable for the vector whereas yellow to orange colours <strong>in</strong>dicate conditions that are <strong>in</strong>creas<strong>in</strong>glysuitable for the vector. Grey <strong>in</strong>dicates that no prediction is possible.Source: ECDC, 2012. © <strong>Europe</strong>an Centre for Disease Prevention <strong>and</strong> Control, 2012.S<strong>and</strong>fly-borne diseasesLeishmaniasis is the most common diseasetransmitted by s<strong>and</strong>flies <strong>in</strong> <strong>Europe</strong>. Transmissionof the two parasites responsible for this disease thatare endemic <strong>in</strong> the EU (Leishmania <strong>in</strong>fantum <strong>and</strong>L. tropica) is heavily <strong>in</strong>fluenced by temperature.L. tropica occurs sporadically <strong>in</strong> Greece <strong>and</strong>neighbour<strong>in</strong>g countries, while L. <strong>in</strong>fantum is endemic<strong>in</strong> the Mediterranean region of the EU. S<strong>and</strong>flyvectors currently have wider distribution rangesthan the leishmaniasis pathogens. The evidence ofan impact of climate <strong>change</strong> on the distribution ofs<strong>and</strong>fly <strong>in</strong> <strong>Europe</strong> is scarce (Ready, 2010). <strong>Climate</strong><strong>change</strong> was suggested as one possible reason for theobserved northward expansion of s<strong>and</strong>fly vectors <strong>in</strong>Italy (Maroli et al., 2008).ProjectionsTick-borne diseasesAn expansion of the distribution range of ticks tohigher altitudes <strong>and</strong> latitudes is projected underfuture warm<strong>in</strong>g (Jaenson <strong>and</strong> L<strong>in</strong>dgren, 2011) underthe condition that their natural hosts (deer) wouldalso shift their distribution. TBE is projected to shiftup to higher altitudes <strong>and</strong> latitudes, potentially<strong>in</strong>creas<strong>in</strong>g the risk <strong>in</strong> some parts of northern<strong>and</strong> central <strong>Europe</strong>, unless targeted vacc<strong>in</strong>ationprogrammes <strong>and</strong> TBE surveillance are <strong>in</strong>troduced.TBE risk is generally projected to decrease <strong>in</strong> southern<strong>Europe</strong>. Warmer w<strong>in</strong>ters may facilitate the expansionof Lyme borreliosis to higher latitudes <strong>and</strong> altitudes,particularly <strong>in</strong> northern <strong>Europe</strong>, but it woulddecrease <strong>in</strong> parts of <strong>Europe</strong> projected to experience<strong>in</strong>creased droughts (Semenza <strong>and</strong> Menne, 2009).198 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMosquito- borne diseasesVarious studies have found that warm seasonal <strong>and</strong>annual temperature <strong>and</strong> sufficient ra<strong>in</strong>fall providefavourable climatic conditions for A. albopictus <strong>in</strong><strong>Europe</strong> (Medlock et al., 2006; Roiz et al., 2011). Theclimatic suitability for A. albopictus is projectedto <strong>in</strong>crease <strong>in</strong> central <strong>and</strong> western <strong>Europe</strong> <strong>and</strong> todecrease <strong>in</strong> southern <strong>Europe</strong> (Fischer, Thomas,et al., 2011). The risk of Chikungunya may also<strong>in</strong>crease, particularly <strong>in</strong> those regions <strong>in</strong> <strong>Europe</strong>where the seasonal activity of A. albopictus matchesthe seasonality of endemic Chikungunya <strong>in</strong>fectionsabroad (Charrel et al., 2008), thereby potentially<strong>in</strong>creas<strong>in</strong>g the importation risk.<strong>Climate</strong>-related <strong>in</strong>crease <strong>in</strong> the A. albopictus densityor active season could lead to a small <strong>in</strong>crease<strong>in</strong> risk of Dengue <strong>in</strong> <strong>Europe</strong>. The risk could also<strong>in</strong>crease should temperature <strong>in</strong>crease facilitate there-establishment of A. aegypti, the primary Denguevector. Further modell<strong>in</strong>g studies are required toassess whether climate <strong>change</strong> would <strong>in</strong>crease ordecrease the climatic suitability for A. aegypti <strong>in</strong>cont<strong>in</strong>ental <strong>Europe</strong>.Some climate-related <strong>change</strong> <strong>in</strong> malaria receptivity<strong>in</strong> <strong>Europe</strong> is suggested, but probably not enoughto re-establish malaria. The largest threat <strong>in</strong> <strong>Europe</strong>relates to population <strong>vulnerability</strong>, which is<strong>in</strong>fluenced by sporadic <strong>in</strong>troductions of the parasitethrough global travel <strong>and</strong> trade.<strong>Climate</strong> <strong>change</strong> is not generally expected to stronglyimpact on WNV <strong>in</strong> <strong>Europe</strong> (Gale et al., 2009; Gould<strong>and</strong> Higgs, 2009). However, it could <strong>in</strong>fluence thevirus transmission through affect<strong>in</strong>g the geographicdistribution of vectors <strong>and</strong> pathogens, <strong>and</strong> <strong>change</strong>dmigratory patterns of bird populations, as well asthrough <strong>change</strong>s <strong>in</strong> the life-cycle of bird-associatedpathogens.S<strong>and</strong>fly diseasesFuture climate <strong>change</strong> could impact on thedistribution of leishmaniasis by affect<strong>in</strong>g theabundance of vector species <strong>and</strong> parasitedevelopment. Recent modell<strong>in</strong>g <strong>in</strong>dicates that thecentral <strong>Europe</strong>an climate will become <strong>in</strong>creas<strong>in</strong>glysuitable for Phelobotomus spp. s<strong>and</strong>flies, thereby<strong>in</strong>creas<strong>in</strong>g the risk of leishmaniasis, but such anexpansion would be somewhat constra<strong>in</strong>ed bythe limited migration ability of s<strong>and</strong>flies (Fischer,Moeller, et al., 2011). The risk of disease transmissionmay decrease <strong>in</strong> some areas <strong>in</strong> southern <strong>Europe</strong>where climate conditions become too hot <strong>and</strong> dryfor vector survival.4.4.7 Water- <strong>and</strong> food-borne diseasesRelevance<strong>Climate</strong> <strong>change</strong> could affect food- <strong>and</strong> water‐bornediseases <strong>in</strong> <strong>Europe</strong> through higher air <strong>and</strong> watertemperatures, through <strong>in</strong>creases <strong>in</strong> heavy ra<strong>in</strong>fallevents <strong>and</strong> through extreme events, such asflood<strong>in</strong>g, which can lead to contam<strong>in</strong>ation ofdr<strong>in</strong>k<strong>in</strong>g, recreational or irrigation water, <strong>and</strong> todisruption of water supply <strong>and</strong> sanitation systems(WHO, 2011b). Potential <strong>impacts</strong> will be modulatedby the quality of food safety measures, the capacity<strong>and</strong> quality of water treatment systems, humanbehaviour, <strong>and</strong> a range of other conditions.Elevated air temperatures could negatively affectthe quality of food dur<strong>in</strong>g transport, storage <strong>and</strong>h<strong>and</strong>l<strong>in</strong>g. Higher water temperatures <strong>in</strong>creasethe growth rate of certa<strong>in</strong> pathogens, such asVibrio species that can cause food-borne outbreaks(seafood). On rare occasions, they may lead tosevere necrotic ulcers, septicemia <strong>and</strong> death <strong>in</strong>susceptible persons with wounds that are bath<strong>in</strong>g <strong>in</strong>Key messages: 4.4.7 Water- <strong>and</strong> food-borne diseases• It is not possible to assess whether past climate <strong>change</strong> has already affected water- <strong>and</strong> food-bornediseases <strong>in</strong> <strong>Europe</strong>.• <strong>Climate</strong> <strong>change</strong> will likely <strong>in</strong>crease the risk of food- <strong>and</strong> water-borne diseases <strong>in</strong> many parts of <strong>Europe</strong>.• Increased temperatures could <strong>in</strong>crease the risk of salmonellosis.• Where precipitation or extreme flood<strong>in</strong>g is projected to <strong>in</strong>crease <strong>in</strong> <strong>Europe</strong>, the risk ofcampylobacteriosis <strong>and</strong> cryptosporidiosis could <strong>in</strong>crease.• <strong>Climate</strong> <strong>change</strong> can impact food safety hazards throughout the food cha<strong>in</strong>.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012199


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthcontam<strong>in</strong>ated waters (L<strong>in</strong>dgren et al., 2012). Floods<strong>and</strong> <strong>in</strong>creased water flows can lead to contam<strong>in</strong>ationof dr<strong>in</strong>k<strong>in</strong>g, recreational or irrigation water <strong>and</strong> thus<strong>in</strong>crease the risk of water-borne diseases, such ascryptosporidiosis.It is not currently possible to attribute past trends <strong>in</strong>these diseases, or <strong>in</strong>dividual outbreaks, to climate<strong>change</strong> due to data gaps for selected pathogens <strong>and</strong>climatic determ<strong>in</strong>ants. The current knowledge onthe relationship between climatic factors <strong>and</strong> the riskassociated with several climate-sensitive food- <strong>and</strong>water-borne diseases (caused by bacteria, viruses<strong>and</strong> parasites) <strong>in</strong> <strong>Europe</strong> is presented below.CampylobacterIncidence of campylobacteriosis has been l<strong>in</strong>kedto mean temperatures, though not consistently(Fleury et al., 2006; Bi et al., 2008). High ambienttemperatures <strong>and</strong> relatively low humidity have beenl<strong>in</strong>ked with <strong>in</strong>creased <strong>in</strong>cidence (Patrick et al., 2004;Lake et al., 2009). Assessment of this relationship isdifficult, as Campylobacter does not replicate outsideits animal host <strong>and</strong> the seasonal <strong>in</strong>cidence peakdoes not occur dur<strong>in</strong>g the hottest time of the year.Ra<strong>in</strong> <strong>in</strong> early spr<strong>in</strong>g can trigger campylobacteriosisoutbreaks (WHO, 2008b). Outbreaks tend to occurmore often <strong>in</strong> rural areas, where households aresupplied by private water sources, more susceptibleto contam<strong>in</strong>ation dur<strong>in</strong>g extreme weather events(Pebody et al., 1997; Hearnden et al., 2003). Withthe projected <strong>in</strong>crease <strong>in</strong> heavy ra<strong>in</strong>fall events<strong>in</strong> northern <strong>Europe</strong>, the risk of surface <strong>and</strong>groundwater contam<strong>in</strong>ation is expected to rise.<strong>Climate</strong> <strong>change</strong> might <strong>in</strong>crease the use of ra<strong>in</strong>waterdur<strong>in</strong>g times of drought <strong>in</strong> certa<strong>in</strong> locations. If theharvest<strong>in</strong>g of ra<strong>in</strong>water <strong>in</strong>creases, Campylobacter <strong>in</strong>untreated roof run-off water might contribute to an<strong>in</strong>creased risk of both animal <strong>and</strong> human disease(Palmer et al., 1983; Savill et al., 2001).SalmonellaA raise <strong>in</strong> weekly temperature is followed byan <strong>in</strong>crease <strong>in</strong> salmonellosis <strong>in</strong> different sett<strong>in</strong>gs(Naumova et al., 2006; Zhang et al., 2007; Nicholset al., 2009). Ambient seasonal temperatures aresuspected drivers of reported salmonellosis cases,but an <strong>in</strong>fluence of temperature might be attenuatedby public health <strong>in</strong>terventions (Lake et al., 2009).Seasonal detection <strong>fr</strong>equencies for Salmonella sp.<strong>in</strong> water environments were related to monthlymaximum precipitation <strong>in</strong> summer <strong>and</strong> fallfollow<strong>in</strong>g faecal contam<strong>in</strong>ation events (Craig et al.,2003; Mart<strong>in</strong>ez-Urtaza et al., 2004). Floods caused byheavy ra<strong>in</strong>fall events may disrupt water treatment<strong>and</strong> sewage systems <strong>and</strong> contribute to <strong>in</strong>creasedexposure to Salmonella sp. <strong>and</strong> other pathogens.Salmonellosis cont<strong>in</strong>ues to decl<strong>in</strong>e <strong>in</strong> <strong>Europe</strong> overthe last decade, <strong>in</strong> part due to control measures.Thus, health promotion <strong>and</strong> food safety policiesshould be able to mitigate adverse <strong>impacts</strong> on publichealth.Available projections <strong>in</strong>dicate that by the 2020s,under the A2 scenario, the average annual numberof temperature-related cases of salmonellosis <strong>in</strong><strong>Europe</strong> may <strong>in</strong>crease by almost 20 000 as a result ofclimate <strong>change</strong>, <strong>in</strong> addition to <strong>in</strong>creases expected<strong>fr</strong>om population <strong>change</strong>s. By the 2071–2100 period,climate <strong>change</strong> could result <strong>in</strong> up to 50 % moretemperature-related cases than would be expectedon the basis of population <strong>change</strong> alone. However,these estimates need to be <strong>in</strong>terpreted with caution,due to high uncerta<strong>in</strong>ty (Watkiss <strong>and</strong> Hunt, 2012).CryptosporiumHeavy ra<strong>in</strong>fall has been associated with thecontam<strong>in</strong>ation of water supplies <strong>and</strong> outbreaks ofcryptosporidiosis (Aksoy et al., 2007; Hoek et al.,2008), as the concentration of Cryptosporidiumoocysts <strong>in</strong> river water <strong>in</strong>creases significantly dur<strong>in</strong>gra<strong>in</strong>fall events. Dry weather conditions preced<strong>in</strong>ga heavy ra<strong>in</strong> event has also been associated withdr<strong>in</strong>k<strong>in</strong>g water outbreaks (Nichols et al., 2009). Thus,heavy precipitation can result <strong>in</strong> the persistence ofoocysts <strong>in</strong> the water distribution system <strong>and</strong> the<strong>in</strong>filtration of dr<strong>in</strong>k<strong>in</strong>g water reservoirs <strong>fr</strong>om spr<strong>in</strong>gs<strong>and</strong> lakes. A rise <strong>in</strong> precipitation is predicted tolead to an <strong>in</strong>crease <strong>in</strong> cryptosporidiosis, althoughthe strength of the relationship varies by climatecategory (Jagai et al., 2009)NorovirusFood-borne norovirus outbreaks have been l<strong>in</strong>kedto climate <strong>and</strong> weather events; for example, heavyra<strong>in</strong>fall <strong>and</strong> floods may lead to wastewater overflowwhich can contam<strong>in</strong>ate shellfish farm<strong>in</strong>g sites. Floodwater has been associated with a norovirus outbreak<strong>in</strong> Austria (Schmid et al., 2005). The magnitude o<strong>fr</strong>a<strong>in</strong>fall has also been related to viral contam<strong>in</strong>ationof the mar<strong>in</strong>e environment <strong>and</strong> with peaks <strong>in</strong>diarrhoea <strong>in</strong>cidence (Miossec et al., 2000). Thepredicted <strong>in</strong>crease of heavy ra<strong>in</strong>fall events underclimate <strong>change</strong> scenarios could lead to an <strong>in</strong>crease <strong>in</strong>norovirus <strong>in</strong>fections because floods are known to bel<strong>in</strong>ked to norovirus outbreaks.200 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthVibrio (non‐cholera)Vibrio sp. propagates with ris<strong>in</strong>g water temperatures<strong>and</strong> exploits prolonged periods of permissiveenvironmental conditions (Pedersen et al., 1997). Inthe Baltic Sea, notified V. vulnificus <strong>in</strong>fections occurdur<strong>in</strong>g hot summer months <strong>and</strong> augment withwater temperatures above 20 °C (Hemmer et al.,2007). There is evidence of a l<strong>in</strong>k between elevatedsummer (water) temperatures, extended summerseasons <strong>and</strong> non‐cholera Vibrio sp. <strong>in</strong>fections, butthe disease <strong>in</strong>crease is projected to be modest due tolow current <strong>in</strong>cidence rates. The recent analysis ofthe long-term sea surface temperature data revealedan unprecedented rate of the Baltic Sea warm<strong>in</strong>g(0.063–0.078 °C per year <strong>fr</strong>om 1982 to 2010), <strong>and</strong>found strong l<strong>in</strong>ks between the temporal <strong>and</strong> spatialpeaks <strong>in</strong> sea surface temperatures <strong>and</strong> the number<strong>and</strong> distribution of Vibrio <strong>in</strong>fections <strong>in</strong> the Baltic Searegion (Baker-Aust<strong>in</strong> et al., 2012).4.5 Energy4.5.1 OverviewRelevanceEnergy plays a fundamental role <strong>in</strong> support<strong>in</strong>g allaspects of modern life. This sector is responsible forthe majority of anthropogenic GHG emissions (EEA,2012). At the same time, both energy supply <strong>and</strong>energy dem<strong>and</strong> are sensitive to <strong>change</strong>s <strong>in</strong> climate,<strong>in</strong> particular <strong>in</strong> temperature.The <strong>in</strong>creas<strong>in</strong>g <strong>fr</strong>equency of extreme weather events,<strong>in</strong>clud<strong>in</strong>g heat waves, droughts <strong>and</strong> potentiallystorms, poses additional challenges for energysystems (Rademaekers et al., 2011). In particular,thermal power plant efficiency <strong>and</strong> output can beadversely affected by a rise <strong>in</strong> temperature or adecrease <strong>in</strong> availability of cool<strong>in</strong>g water. Storms<strong>and</strong> extreme w<strong>in</strong>d gusts could also pose a challengefor the energy <strong>in</strong><strong>fr</strong>astructure, such as transmission<strong>and</strong> distribution networks, as well as for renewablegenerators. Increased flood<strong>in</strong>g could affect powerstations <strong>and</strong> substations. Changed precipitationpatterns or variability could add greater uncerta<strong>in</strong>tyfor <strong>in</strong>vest<strong>in</strong>g <strong>in</strong> hydropower facilities <strong>and</strong> alteroutput, but may also result <strong>in</strong> local benefits <strong>fr</strong>om<strong>in</strong>creased hydropower output <strong>fr</strong>om facilities <strong>in</strong>some countries. Hydropower production could alsobe impacted by <strong>in</strong>creased silt<strong>in</strong>g of sediment <strong>in</strong>toreservoirs due to <strong>in</strong>creased erosion <strong>and</strong> sedimentdisplacement as a consequence of climate <strong>change</strong>.Renewable energy supply may also be impactedby climate <strong>change</strong>, <strong>in</strong> particular by <strong>impacts</strong> on theproduction of bioenergy but also on w<strong>in</strong>d turb<strong>in</strong>es<strong>and</strong> solar cells.Indicator selectionThis section uses one <strong>in</strong>dicator, heat<strong>in</strong>g degree days(HDD), to present <strong>in</strong>formation on climate <strong>impacts</strong> onenergy dem<strong>and</strong>. An additional subsection presents<strong>in</strong>formation on <strong>change</strong>s <strong>in</strong> electricity dem<strong>and</strong> <strong>and</strong>electricity production, which does not qualify tobe presented as an <strong>in</strong>dicator due to limited dataavailability. Some limited <strong>in</strong>formation on the costs ofprojected <strong>impacts</strong> on the energy sector is provided<strong>in</strong> Section 5.5.2.Key messages: 4.5 Energy• The number of heat<strong>in</strong>g degree days has decreased by an average of 16 per year s<strong>in</strong>ce 1980. This helpsreduce the dem<strong>and</strong> for heat<strong>in</strong>g, particularly <strong>in</strong> northern <strong>and</strong> north-western <strong>Europe</strong>.• <strong>Climate</strong> <strong>change</strong> will affect future energy <strong>and</strong> electricity dem<strong>and</strong>. <strong>Climate</strong> <strong>change</strong> is not expected to<strong>change</strong> total energy dem<strong>and</strong> <strong>in</strong> <strong>Europe</strong> substantially across <strong>Europe</strong>, but there may be significantseasonal effects, with large regional differences.• <strong>Climate</strong> <strong>change</strong> is projected to strongly <strong>in</strong>crease energy dem<strong>and</strong> for cool<strong>in</strong>g <strong>in</strong> southern <strong>Europe</strong>, whichmay further exacerbate peaks <strong>in</strong> electricity supply <strong>in</strong> the summer.• Further <strong>in</strong>creases <strong>in</strong> temperature <strong>and</strong> droughts may limit the availability of cool<strong>in</strong>g water for thermalpower generation <strong>in</strong> summer when the abundance of cool<strong>in</strong>g water is near its lowest.• Both renewable <strong>and</strong> conventional electricity energy generators may be impacted by chang<strong>in</strong>gtemperatures, ra<strong>in</strong>fall patterns <strong>and</strong> possible <strong>in</strong>creases <strong>in</strong> storm severity <strong>and</strong> <strong>fr</strong>equency. Most <strong>impacts</strong> willbe negative, although some localised positive <strong>impacts</strong> may occur.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012201


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthData quality <strong>and</strong> data needsData for calculation of HDD have been collected byEurostat for decades; this <strong>in</strong>dicator can thereforebe considered as very reliable. The same dataused could also be used for the calculation ofcool<strong>in</strong>g degree days. Such an <strong>in</strong>dicator is currentlynot available even though it would be highlypolicy-relevant <strong>and</strong> could be calculated withlittle additional effort. It should be noted that the<strong>in</strong>dicator HDD is a purely physical metric, whichdoes not consider differences <strong>in</strong> technical, social <strong>and</strong>economic factors (hous<strong>in</strong>g quality, behaviour, prices,etc.) between regions <strong>and</strong> their development overtime.Information on past <strong>and</strong> projected <strong>impacts</strong> ofclimate <strong>change</strong> on electricity dem<strong>and</strong> <strong>and</strong> electricitygenerator output is very <strong>fr</strong>agmented. The signalof long-term climate <strong>change</strong> may be difficult todetect due to concurrent <strong>change</strong>s <strong>in</strong> technical,social, behavioural <strong>and</strong> economic aspects, whereasthe effects of extreme events are generally easier todetect.4.5.2 Heat<strong>in</strong>g degree daystherefore a proxy for the energy dem<strong>and</strong> for spaceheat<strong>in</strong>g, <strong>and</strong> hence an <strong>in</strong>dicator for possible <strong>change</strong>s<strong>in</strong> overall energy use directly related to climate<strong>change</strong>.An <strong>in</strong>crease <strong>in</strong> cool<strong>in</strong>g dem<strong>and</strong> would off-set<strong>in</strong> part or completely the ga<strong>in</strong>s <strong>fr</strong>om a reducedenergy dem<strong>and</strong> for space heat<strong>in</strong>g <strong>and</strong> the effectsresult<strong>in</strong>g <strong>fr</strong>om a reduction <strong>in</strong> heat<strong>in</strong>g dem<strong>and</strong>. Whileheat<strong>in</strong>g is delivered to end users <strong>in</strong> different ways(<strong>in</strong>dividual boilers fuelled by oil, gas, <strong>and</strong> coal, <strong>and</strong>electricity <strong>and</strong> district heat<strong>in</strong>g), cool<strong>in</strong>g is deliveredcurrently almost exclusively through electricity.As a result, a given <strong>in</strong>crease <strong>in</strong> cool<strong>in</strong>g dem<strong>and</strong> isgenerally associated with higher costs, a higher<strong>in</strong>crease <strong>in</strong> primary energy dem<strong>and</strong> <strong>and</strong> larger<strong>impacts</strong> on the peak capacity of supply networksthan the same decrease <strong>in</strong> heat<strong>in</strong>g dem<strong>and</strong>.Past trendsThe number of HDD has decreased by 13 % overthe last 3 decades, yet with substantial <strong>in</strong>terannualvariation (Figure 4.9). Map 4.16 shows that thedecrease <strong>in</strong> HDD has not been homogeneous acrossRelevanceA 'Heat<strong>in</strong>g Degree Day' (HDD) is a proxy forthe energy dem<strong>and</strong> needed to heat a home or abus<strong>in</strong>ess; it is derived <strong>fr</strong>om measurements of outsideair temperature. The heat<strong>in</strong>g requirements for agiven structure at a specific location are consideredto be to some degree proportional to the number ofHDD at that location. However, they also depend ona large number of other factors, notably <strong>in</strong> relation to<strong>in</strong>come levels, build<strong>in</strong>g design, energy systems <strong>and</strong>behavioural aspects. HDD are def<strong>in</strong>ed relative to abase temperature ( 67 ), the outside temperature belowwhich a build<strong>in</strong>g is assumed to need heat<strong>in</strong>g.Space heat<strong>in</strong>g is responsible for a large componentof <strong>Europe</strong>an energy use, so a decrease <strong>in</strong> the useof space heat<strong>in</strong>g has the potential to lead to asignificant decrease <strong>in</strong> overall energy use. There aremany contributory factors to heat<strong>in</strong>g dem<strong>and</strong>, suchas the energy performance of the build<strong>in</strong>g envelope,the type of heat<strong>in</strong>g system available, occupantbehaviour <strong>and</strong> energy prices. However, the externaltemperature is the only component which is directlyaffected by climate <strong>change</strong>. The number of HDD isFigure 4.9Heat<strong>in</strong>g degree days3 8003 6003 4003 2003 0002 800198019821984Source: Eurostat, 2012.Trend <strong>in</strong> heat<strong>in</strong>g degree days <strong>in</strong>the EU-27 (1980–2009)Heat<strong>in</strong>g degree daysL<strong>in</strong>ear trend198619881990199219941996199820002002200420062008( 67 ) Eurostat calculates HDD as (18 °C — Tm) x d if Tm is lower than or equal to 15 °C (heat<strong>in</strong>g threshold) <strong>and</strong> zero if Tm is greaterthan 15 °C, where Tm is the mean (Tm<strong>in</strong> + Tmax/2) outdoor temperature over a given period of d days.202 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.16 Trend <strong>in</strong> heat<strong>in</strong>g degree days <strong>in</strong> the EU-27 (1980–2009)-30°-20°-10°0°10°20°30°40°50°60°70°Trend <strong>in</strong> heat<strong>in</strong>g degreedays (1980–2009)HDD/year< – 2560°– 24.99 to – 20– 19.99 to – 1550°– 14.99 to – 10– 9.99 to – 5No dataOutside coverage50°40°40°0 500 1000 1500 km0°10°20°30°40°Source: Eurostat, 2012.<strong>Europe</strong>. The absolute decrease has been largest <strong>in</strong>the cool regions <strong>in</strong> northern <strong>Europe</strong> where heat<strong>in</strong>gdem<strong>and</strong> is highest.ProjectionsTemperatures <strong>in</strong> <strong>Europe</strong> are projected to cont<strong>in</strong>ue to<strong>in</strong>crease. Hence, the trend of decreas<strong>in</strong>g numbers ofHDD is very likely to cont<strong>in</strong>ue, <strong>and</strong> most likely toaccelerate. For example, the heat dem<strong>and</strong> for spaceheat<strong>in</strong>g <strong>in</strong> 2050 was projected to decrease by 25 % <strong>in</strong>the United K<strong>in</strong>gdom (Flörke et al., 2011), <strong>and</strong> by 9 %<strong>in</strong> the EU ( 68 ).4.5.3 Electricity dem<strong>and</strong> <strong>and</strong> productionA number of studies have modelled future electricitydem<strong>and</strong> <strong>in</strong> a chang<strong>in</strong>g climate. Approximately 30 %of <strong>Europe</strong>'s domestic space heat<strong>in</strong>g requirementis provided by electricity, but with substantialvariation across countries (Mideksa <strong>and</strong> Kallbekken,2010). Cool<strong>in</strong>g is almost exclusively provided byelectricity. Therefore, <strong>change</strong>s <strong>in</strong> heat<strong>in</strong>g dem<strong>and</strong>,<strong>and</strong> even more so <strong>in</strong> cool<strong>in</strong>g dem<strong>and</strong>, will directly<strong>in</strong>fluence electricity dem<strong>and</strong>.No systematic analysis is available on the relationshipbetween past climate <strong>and</strong> electricity dem<strong>and</strong>. Anumber of studies have looked at projected trendsfor different <strong>Europe</strong>an countries, <strong>and</strong> the results aresummarised <strong>in</strong> Table 4.4. The variation <strong>in</strong> projecteddem<strong>and</strong> for electricity is usually a result of theselection of climate <strong>change</strong> scenario. It is worth not<strong>in</strong>gthat an <strong>in</strong>creased electricity dem<strong>and</strong> peak <strong>in</strong> thesummer would co<strong>in</strong>cide with <strong>in</strong>creased difficulty <strong>in</strong>obta<strong>in</strong><strong>in</strong>g sufficient cool<strong>in</strong>g water for thermal powergeneration dur<strong>in</strong>g very hot conditions (Förster <strong>and</strong>Lilliestam, 2009).( 68 ) Pre-publication of results <strong>fr</strong>om the <strong>Climate</strong>Cost project (http://www.climatecost.cc).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012203


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthTable 4.4Overview of studies on future electricity dem<strong>and</strong> due to climate <strong>change</strong>Study Region Date ofprojection(Pilli-Sihvolaet al., 2010)(Mirasgediset al., 2007)(Eskel<strong>and</strong> <strong>and</strong>Mideksa, 2010)(Mima et al.,2012)Germany, Spa<strong>in</strong>,France, theNetherl<strong>and</strong>s <strong>and</strong>F<strong>in</strong>l<strong>and</strong>Annual <strong>change</strong> <strong>in</strong> electricity dem<strong>and</strong>2015–2050 Decreases <strong>in</strong> northern countries, <strong>in</strong>crease <strong>in</strong> Spa<strong>in</strong>;overall neutralPeakdem<strong>and</strong>+ 2 % to+ 4 %, Spa<strong>in</strong>Greece 2070–2100 + 3 % to + 6 % + 13 %, June<strong>Europe</strong> 2100 Small, but disguises large regional variations + 20 %,Turkey<strong>Europe</strong> 2010–2100 Increase of 12 % by 2050 ris<strong>in</strong>g to 24 % by 2100(EU‐27) due to electricity for cool<strong>in</strong>g dem<strong>and</strong> abovefuture basel<strong>in</strong>e (A1B scenario), reduced to 8 % acrossperiod for E1 mitigation scenario. Strong regionalvariations, with greater <strong>in</strong>creases <strong>in</strong> southern <strong>Europe</strong>Fossil-powered <strong>and</strong> nuclear electricity generatorsare sensitive to a reduced availability <strong>and</strong> <strong>in</strong>creasedtemperature of cool<strong>in</strong>g water, <strong>and</strong> to <strong>in</strong>creased airtemperature, which reduces their efficiency (WorldBank, 2011, p. 33). Nuclear plants are particularlysusceptible <strong>in</strong> this regard (L<strong>in</strong>nerud et al., 2011;Rübbelke <strong>and</strong> Vögele, 2011).The literature on <strong>change</strong> <strong>in</strong> output <strong>fr</strong>om electricitygenerators due to climate <strong>change</strong> is rather sparse.Considerable reductions <strong>in</strong> river flow dur<strong>in</strong>g the2004–2005 drought across the Iberian Pen<strong>in</strong>sula,resulted <strong>in</strong> a 40 % drop <strong>in</strong> hydroelectric powerproduction, which had to be replaced by electricity<strong>fr</strong>om thermoelectric power plants (García-Herreraet al., 2007). Similarly <strong>in</strong> 2005, Portugal had tocompensate for low hydro-electrical production byus<strong>in</strong>g fossil fuel worth EUR 182 million, with anadditional expense of EUR 28 million to purchaseCO 2emissions licenses. The total cost was f<strong>in</strong>allyestimated at EUR 883 million, equivalent to 0.6 % ofGDP (Demuth, 2009).A recent study estimated <strong>change</strong>s <strong>in</strong> the capacityof thermoelectric power plants <strong>in</strong> <strong>Europe</strong> due to<strong>change</strong>s <strong>in</strong> temperature <strong>and</strong> river flow based on amulti-model GCM ensemble (Vliet et al., 2012). Thisstudy projects decreases <strong>in</strong> the capacity of powerplants due to climate <strong>change</strong> by 6–19 % <strong>in</strong> the 2040s,compared to the 1980s control period depend<strong>in</strong>gon cool<strong>in</strong>g system type <strong>and</strong> climate scenario.Increases are projected for most of Sc<strong>and</strong><strong>in</strong>avia <strong>and</strong>decreases for the rest of <strong>Europe</strong>. A study exam<strong>in</strong><strong>in</strong>gthe <strong>impacts</strong> of climate <strong>change</strong> on hydropower <strong>and</strong>nuclear electricity output identified Austria, France<strong>and</strong> Switzerl<strong>and</strong> as particularly vulnerable countries(Rübbelke <strong>and</strong> Vögele, 2011, p. 14).The conclusions <strong>fr</strong>om the stress test applied to<strong>Europe</strong>an nuclear power plants <strong>in</strong> the aftermathof the Fukushima accident, with respect to theadequacy of preparedness of these plants <strong>in</strong> theevent of natural hazards (earthquakes, flood<strong>in</strong>g)<strong>and</strong> extreme weather events were that furtherimprovements can be made, particularly <strong>in</strong> thecase of preparedness for extreme weather events(EC, 2011; ENSREG, 2012). The International AtomicEnergy Agency (IAEA) has developed guidel<strong>in</strong>esthat represent good practice to <strong>in</strong>crease robustnessaga<strong>in</strong>st natural hazards <strong>and</strong> extreme events thatare expected to be implemented <strong>in</strong> a number of<strong>Europe</strong>an countries as a result of the stress test(IAEA, 2011). Renewable electricity generatorsare most susceptible to <strong>change</strong>s <strong>in</strong> precipitationwhich affect the output of hydropower plants, <strong>and</strong>potentially to extreme storm gusts which mightdamage w<strong>in</strong>d turb<strong>in</strong>es. The performance of solarphotovoltaic modules is also reduced <strong>in</strong> hot weather.The ClimWatAdapt project assessed <strong>change</strong>s <strong>in</strong>seasonal water availability as a proxy for risks tohydropower potential, with the largest reductionsshown <strong>in</strong> many regions of southern <strong>Europe</strong>.However, the study could not quantify the risksto electricity production because it did not <strong>in</strong>clude<strong>in</strong>formation on dams, reservoirs <strong>and</strong> hydropowerstations (Flörke et al., 2011). A study by theDirectorate-General for Energy (DG ENER) assessedadaptation costs for nuclear power stations <strong>and</strong>other energy <strong>in</strong><strong>fr</strong>astructure based on stakeholderconsultation (Rademaekers et al., 2011).The United K<strong>in</strong>gdom has performed a national‐levelclimate <strong>change</strong> risk assessment of the energy sector(see Box 4.2). In addition, several localised studiesassessed potential climate <strong>change</strong> <strong>impacts</strong> on<strong>in</strong>dividual power stations or water catchments.204 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthBox 4.2Case study — UK <strong>Climate</strong> Change Risk Assessment for the energy sectorIn January 2012 the United K<strong>in</strong>gdom published its climate <strong>change</strong> risk assessment (CCRA), which <strong>in</strong>cluded<strong>in</strong>‐depth analysis of the risks to 11 sectors, one of which was energy. The CCRA considered different 'tiers' o<strong>fr</strong>isk; Tier 1 identifies a broad range of potential <strong>impacts</strong>, <strong>and</strong> Tier 2 provides a more detailed analysis, <strong>in</strong>clud<strong>in</strong>gquantification <strong>and</strong> monetisation.The topics considered as Tier 2 <strong>in</strong>clude:• flood<strong>in</strong>g of energy <strong>in</strong><strong>fr</strong>astructure;• flood<strong>in</strong>g of power stations;• dem<strong>and</strong> for cool<strong>in</strong>g;• heat-related damage/disruption;• water abstraction.These topics were considered as a high priority because they are considered relatively urgent, with the potentialfor large-scale impact, <strong>and</strong> with a high likelihood of be<strong>in</strong>g affected by ris<strong>in</strong>g temperatures <strong>and</strong> other climaticvariables.Outputs <strong>fr</strong>om the analysis <strong>in</strong>clude:• an <strong>in</strong>crease <strong>in</strong> power stations 'at risk' of flood<strong>in</strong>g, <strong>fr</strong>om 19 today to 26 <strong>in</strong> the 2020s, to 38 <strong>in</strong> the 2080s;• an <strong>in</strong>crease <strong>in</strong> build<strong>in</strong>g cool<strong>in</strong>g-dem<strong>and</strong> needs <strong>and</strong> electricity dem<strong>and</strong> of about 4 % annually;• a possible risk to power generation <strong>fr</strong>om reduced future availability of abstracted water;• a possible effect of <strong>in</strong>creas<strong>in</strong>g temperature (<strong>and</strong> other <strong>in</strong>direct factors) could potentially reduce overall thermalpower generation efficiency.4.6 Transport services <strong>and</strong><strong>in</strong><strong>fr</strong>astructure4.6.1 OverviewL<strong>and</strong>-based transport <strong>in</strong><strong>fr</strong>astructure <strong>and</strong> operationare sensitive to <strong>change</strong>s <strong>in</strong> climate, <strong>in</strong>clud<strong>in</strong>g snow<strong>and</strong> ra<strong>in</strong>fall patterns, coastal <strong>and</strong> <strong>in</strong>l<strong>and</strong> flood<strong>in</strong>g,w<strong>in</strong>d storms <strong>and</strong> heat waves. In the far north,semi‐permanent <strong>fr</strong>ost structures may becomeunusable for larger portions of the year. Water-basedtransport is particularly sensitive to river droughts<strong>and</strong> <strong>change</strong>s <strong>in</strong> ice cover of oceans <strong>and</strong> <strong>in</strong>l<strong>and</strong>waters. Some <strong>impacts</strong> of climate <strong>change</strong> may bepositive, such as a decrease <strong>in</strong> the ice cover of oceans<strong>and</strong> rivers, but most of them will be negative (Koetse<strong>and</strong> Rietveld, 2009). In the Arctic, climate <strong>change</strong>is open<strong>in</strong>g up new transport lanes <strong>and</strong> enables theexploitation of both natural <strong>and</strong> m<strong>in</strong>eral resources(see Section 2.3.6 on Arctic sea ice). While this canbe of benefit for the regional <strong>and</strong> global economy, itwill also have repercussions on the Arctic's <strong>fr</strong>agileenvironment if not managed with the utmost care(EC, 2012).Table 4.5 provides an overview of potential <strong>impacts</strong>of climate <strong>change</strong> on transport <strong>in</strong><strong>fr</strong>astructure.Key messages: 4.6 Transport services <strong>and</strong> <strong>in</strong><strong>fr</strong>astructure• Data on past climate-related <strong>impacts</strong> on transport is restricted to <strong>in</strong>dividual extreme events, <strong>and</strong>attribution to climate <strong>change</strong> is generally not possible.• Information on the future risks of climate <strong>change</strong> for transport <strong>in</strong> <strong>Europe</strong> has improved recently dueto several EU research projects focus<strong>in</strong>g on climate <strong>change</strong>, extreme weather events <strong>and</strong> <strong>in</strong>l<strong>and</strong> watertransport.• <strong>Climate</strong> <strong>change</strong> is projected to have both beneficial <strong>and</strong> adverse <strong>impacts</strong> on transport, depend<strong>in</strong>g on theregion <strong>and</strong> the transport mode.• Available projections suggest that rail transport will face the highest percentage <strong>in</strong>crease <strong>in</strong> costs <strong>fr</strong>omextreme weather events. The British Isl<strong>and</strong>s, central <strong>Europe</strong>/France, eastern <strong>Europe</strong> <strong>and</strong> Sc<strong>and</strong><strong>in</strong>aviaare projected to be most adversely impacted.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012205


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthTable 4.5Overview of climate <strong>change</strong> <strong>impacts</strong> on transport <strong>in</strong><strong>fr</strong>astructureFactor Effect Impact on <strong>in</strong><strong>fr</strong>astructure/services1. Temperature Change of distribution patterns, higher average <strong>and</strong> maximum temperature1.1 High temperatures <strong>and</strong> heat waves Overheat<strong>in</strong>g In<strong>fr</strong>astructure equipment, lifetime reduction, reliability ofthe electronic <strong>and</strong> the electric components (i.e. rail roll<strong>in</strong>gstock equipment);slope <strong>in</strong>stabilities due to the thaw<strong>in</strong>g of perma<strong>fr</strong>ost <strong>in</strong>alp<strong>in</strong>e regions1.2 Sudden temperature <strong>change</strong>s Tension,Rail track buckl<strong>in</strong>g, slope fires, signall<strong>in</strong>g problems1.3 Intense sunlight1.4 Freez<strong>in</strong>g <strong>and</strong> thaw<strong>in</strong>g cyclesoverheat<strong>in</strong>gSoil erosion Damage to embankments, earthwork2. Precipitation Change of distribution patterns, more extreme events2.1 Intense ra<strong>in</strong>fall Soil erosion, l<strong>and</strong>slides,flood<strong>in</strong>gDamage to embankments, earthworkRoad traffic safety: risk of collisions as a result of badweather conditionsRisk of weather-related delays <strong>in</strong> all modes of servicesRail <strong>in</strong><strong>fr</strong>astructure assets, operationDra<strong>in</strong>age systems, tunnels, <strong>in</strong>creased scour of bridgesRisk of weather-related delays <strong>in</strong> all modes of services2.2 Extended ra<strong>in</strong> periods2.3 Flood<strong>in</strong>g: coastal, surface water,fluvial2.4 DroughtSlower dra<strong>in</strong>age, soil erosionL<strong>and</strong>slidesDesiccationEarthworks desiccationRoad traffic safety: risk of collisions as a result of dust onroad <strong>and</strong> consequent decrease of wheel gridIncreased abrasion of mechanical componentsPotential <strong>change</strong> of water levels on navigable rivers (verylow levels dur<strong>in</strong>g summer <strong>and</strong> high levels <strong>in</strong> ra<strong>in</strong> periods)2.5 Snow <strong>and</strong> ice Heavy snowfall, avalanches Restrictions/disruption of tra<strong>in</strong> operationsRoad traffic safety: risk of collisions as a result of badweather conditionsRisk of weather-related delays <strong>in</strong> all modes of services3. W<strong>in</strong>d Change of distribution patterns, more extreme events3.1 Storm/gale (<strong>in</strong>l<strong>and</strong>) Higher w<strong>in</strong>d forces Damage to rail <strong>in</strong>stallations, catenaryAll modes potential traffic disruptions <strong>and</strong> safety concernUproot<strong>in</strong>g of treesRestrictions/disruption of tra<strong>in</strong> operationRoad traffic safety3.2 Coastal storms <strong>and</strong> sea-level rise Coastal flood<strong>in</strong>g Embankments, earthwork, operation4. Lightn<strong>in</strong>g strikes <strong>and</strong>thunderstormsOvervoltage5. Vegetation Faster plant growth, newplantsCatenary, traffic control <strong>and</strong> communicationssystemsVegetation managementSource: Adapted <strong>fr</strong>om Nolte et al., 2011 to <strong>in</strong>corporate ma<strong>in</strong> <strong>impacts</strong> on all modes of transport.Data on past climate-related <strong>impacts</strong> on transportare restricted to <strong>in</strong>dividual extreme events, <strong>and</strong>attribution to climate <strong>change</strong> is generally notpossible. Some countries <strong>in</strong> <strong>Europe</strong> have assessedpotential climate <strong>impacts</strong> on their transport<strong>in</strong><strong>fr</strong>astructure <strong>and</strong>/or adaptation options (e.g. theUnited K<strong>in</strong>gdom (UKCIP, 2011; Thornes et al., 2012),Spa<strong>in</strong> (Crespo Garcia, 2011), Germany (DeutscheBundesregierung, 2008) <strong>and</strong> Switzerl<strong>and</strong> (BAFU,2012). The level of detail <strong>in</strong> the analysis <strong>and</strong> theconsideration of the potential risks <strong>and</strong> <strong>impacts</strong> onthe different modes <strong>and</strong> on the transport sector asa whole differ considerably. The UK CCRA for thetransport sector highlights extreme weather eventsas the ma<strong>in</strong> challenge for the ma<strong>in</strong>tenance <strong>and</strong>operation of exist<strong>in</strong>g <strong>in</strong><strong>fr</strong>astructure.The literature on potential economic <strong>impacts</strong> ofclimate <strong>change</strong> on transport <strong>in</strong><strong>fr</strong>astructure is stillscarce but rapidly evolv<strong>in</strong>g. Most sector-specificstudies on potential climate <strong>impacts</strong> <strong>and</strong> adaptationoptions focus on river transport (see Section 4.6.2)<strong>and</strong> on rail <strong>in</strong><strong>fr</strong>astructure (Nolte et al., 2011). <strong>Climate</strong><strong>impacts</strong> on road transport can be both beneficial<strong>and</strong> adverse. Reduced snow <strong>and</strong> ice cover wouldimprove traffic conditions, but <strong>in</strong>creas<strong>in</strong>g severity ofstorms would worsen them (see also Section 4.6.3).The rema<strong>in</strong>der of this section presents results <strong>fr</strong>omthree research projects address<strong>in</strong>g climate <strong>change</strong><strong>impacts</strong> on transport that were funded under theSeventh Framework Programme for Research (FP7)of the <strong>Europe</strong>an Commission.206 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.6.2 Inl<strong>and</strong> water transportThe FP7 project ECCONET ( 69 ) assesses the impactof climate <strong>change</strong> on <strong>in</strong>l<strong>and</strong> waterway transport(IWT) as well as possible adaptation measures. Theproject uses the Rh<strong>in</strong>e–Ma<strong>in</strong>–Danube corridor asa case study with special emphasis on low watersituations, which are most problematic for IWT.Over a period of 20 years, the average annualwelfare loss due to low water levels on the Rh<strong>in</strong>ewas calculated at EUR 28 million; the 2003 extremelow-water year was associated with a welfare lossof EUR 91 million (Jonkeren et al., 2007). Otherclimate-related <strong>change</strong>s, such as high water levels,<strong>change</strong>d ice formation or a <strong>change</strong> <strong>in</strong> visibility dueto fog, are assessed only briefly <strong>in</strong> ECCONET.Results based on projections <strong>fr</strong>om differentclimate models show no significant effects onlow flow conditions for the Rh<strong>in</strong>e canal <strong>and</strong> theRh<strong>in</strong>e‐Ma<strong>in</strong>‐Danube canal until 2050. The upperDanube would experience a moderate <strong>in</strong>crease<strong>in</strong> low flow conditions. The trend towardsdrier summers <strong>and</strong> wetter w<strong>in</strong>ters will ga<strong>in</strong> <strong>in</strong>importance towards the end of the 21st century.Disposition for ice formation on both the Rh<strong>in</strong>e <strong>and</strong>Danube will most likely decrease over the whole21st century (Nilson et al., 2012).Simulations with the NODUS transport model(Jonkeren et al., 2011) suggest that projectedclimate <strong>change</strong> until 2050 is unlikely to impactthe Rh<strong>in</strong>e hydrology strong enough to <strong>in</strong>duceany significant shift <strong>in</strong> modal shares. The studyestimates that a 'dry' year leads to approximately a6–7 % <strong>in</strong>crease <strong>in</strong> total transport cost compared to a'wet' year, but these variations are already presentunder the current climate conditions <strong>and</strong> will notbe <strong>in</strong>fluenced heavily by climate <strong>change</strong> until the2050s. Low water levels could also trigger further<strong>impacts</strong> due to <strong>in</strong>terruptions of coal supply topower stations (Rothste<strong>in</strong> <strong>and</strong> Halbig, 2010).4.6.3 Impacts of <strong>change</strong>s <strong>in</strong> weather extremesTwo FP7 projects assessed the <strong>impacts</strong> of climate<strong>change</strong> <strong>and</strong> extreme weather conditions ontransport systems: WEATHER ( 70 ) <strong>and</strong> EWENT ( 71 ).The WEATHER project aimed at identify<strong>in</strong>g risks,economic <strong>impacts</strong>, <strong>and</strong> suitable crises management<strong>and</strong> transport adaptation strategies for all modesof transport across <strong>Europe</strong>. The EWENT projectlooked more deeply <strong>in</strong>to long-term weatherscenarios <strong>and</strong> the sensitivities of transport modesby follow<strong>in</strong>g a st<strong>and</strong>ard risk assessment process.Note that the def<strong>in</strong>ition of extremes stronglyvaries between approaches. In both projects it hadto be acknowledged that there is a lag of reliablestatistical data for a sound <strong>vulnerability</strong> assessmentof transport modes <strong>in</strong> the <strong>Europe</strong>an region.The WEATHER project considered the follow<strong>in</strong>gextreme events: hot <strong>and</strong> cold spells, floods,l<strong>and</strong>slides, wild fires <strong>and</strong> storms. Data weregathered through studies of various weatherphenomena on transport <strong>in</strong> North America,Australia, <strong>Europe</strong> <strong>and</strong> New Zeal<strong>and</strong>, a review ofover 1 000 damage reports for 6 countries, <strong>and</strong>an assessment of available transport operatordata for some <strong>Europe</strong>an transport networks. Thecomb<strong>in</strong>ed results have been extrapolated to eight<strong>Europe</strong>an climate zones us<strong>in</strong>g meteorological<strong>in</strong>dicators as well as <strong>in</strong><strong>fr</strong>astructure coverage <strong>and</strong>transport performance <strong>in</strong>dicators. The st<strong>and</strong>ardcost values were considered specifically for publictransport services, time losses <strong>and</strong> safety <strong>impacts</strong>for transport users. In addition, the assessment of<strong>in</strong>direct costs imposed by transport disruptions onother economic sectors was estimated.For the assessment period 1998 to 2010, the totalcosts borne by the transport sector (damages,repair <strong>and</strong> ma<strong>in</strong>tenance costs of <strong>in</strong><strong>fr</strong>astructures,vehicle damages, <strong>in</strong>creased system operationcosts, etc.) across all weather phenomena wereestimated at EUR 2.5 billion per year. The <strong>in</strong>directcosts of transport disruptions on other sectorswere estimated at EUR 1 billion per year. Railis the most affected transport mode <strong>in</strong> relationto passenger <strong>and</strong> tonne kilometres, with hot( 69 ) See http://www.ecconet.eu.( 70 ) See http://www.weather-project.eu.( 71 ) See http://ewent.vtt.fi.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012207


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthspots <strong>in</strong> eastern <strong>Europe</strong> <strong>and</strong> Sc<strong>and</strong><strong>in</strong>avia largelycaused by hydrological phenomena <strong>and</strong> theirconsequences. The effects on roads are more evenlydistributed across <strong>Europe</strong> with somewhat highercosts <strong>in</strong> mounta<strong>in</strong> areas <strong>and</strong> Sc<strong>and</strong><strong>in</strong>avia. Thehigh <strong>vulnerability</strong> of road <strong>and</strong> rail <strong>in</strong><strong>fr</strong>astructure<strong>in</strong> mounta<strong>in</strong> areas can be expla<strong>in</strong>ed by theusually expensive <strong>in</strong><strong>fr</strong>astructures, while the high<strong>vulnerability</strong> of rail is due to the more complexreaction mechanisms <strong>in</strong> emergency cases. Projectionsfor the period 2040–2050 (based on predictions ofextremes taken <strong>fr</strong>om the EWENT project) suggestthat rail will face the highest cost <strong>in</strong>crease, withparticular emphasis on the British Isl<strong>and</strong>s, central<strong>Europe</strong> <strong>and</strong> Sc<strong>and</strong><strong>in</strong>avia, mostly due to <strong>in</strong>creases <strong>in</strong>hydrological extremes.The EWENT project assessed average annual costsdue to weather extremes for the current (1998–2010)<strong>and</strong> a future (2041–2070) time period. Costs compriseaccident costs, time costs, <strong>in</strong><strong>fr</strong>astructure damage <strong>and</strong>ma<strong>in</strong>tenance, <strong>and</strong> effects on <strong>fr</strong>eight <strong>and</strong> logistics.EWENT estimates costs <strong>fr</strong>om extreme weatherevents <strong>in</strong> the basel<strong>in</strong>e period of more than EUR15 billion, which is dom<strong>in</strong>ated by the costs of roadaccidents. This estimate is more than four timesabove the estimates of direct <strong>and</strong> <strong>in</strong>direct costs <strong>fr</strong>omthe WEATHER project. The ma<strong>in</strong> reasons for thisdifference are a wider def<strong>in</strong>ition of extreme events<strong>in</strong> EWENT, <strong>in</strong>clusion of externalities (accidents), <strong>and</strong>the explicit consideration of non‐motorised travel <strong>and</strong>logistics among other aspects, which were omitted bythe WEATHER project.experience negative <strong>impacts</strong> throughout <strong>Europe</strong>.Negative <strong>impacts</strong> across all transport modes areprojected for Sc<strong>and</strong><strong>in</strong>avia, the British Isles, France,<strong>and</strong> Eastern <strong>Europe</strong>. These projections are largelyconsistent with those of the WEATHER projectdiscussed above.EWENT also assessed <strong>change</strong>s <strong>in</strong> the overall costs ofextreme events on the transport sector. These costsare projected to decrease substantially <strong>in</strong> the futurebut this decrease is driven primarily by reducedcosts of road accidents due to improved vehiclesafety technologies. Follow-on costs on <strong>fr</strong>eight <strong>and</strong>logistics are expected to <strong>in</strong>crease substantially butthis <strong>in</strong>crease is primarily driven by the projected<strong>in</strong>crease <strong>in</strong> <strong>fr</strong>eight volumes. In summary, the costsof weather extremes on the transport sector areexpected to be <strong>in</strong>fluenced more strongly by <strong>change</strong>s<strong>in</strong> technology <strong>and</strong> transport dem<strong>and</strong> than by<strong>change</strong>s <strong>in</strong> weather extremes.The overall risks of extreme weather wereassessed <strong>in</strong> EWENT for EU-27 Member States.A risk <strong>in</strong>dicator based on probabilistic weatherhazards <strong>and</strong> resilience <strong>and</strong> <strong>vulnerability</strong> of eachMember State revealed that countries with poorquality <strong>in</strong><strong>fr</strong>astructures, dense traffic volumes <strong>and</strong>population, <strong>and</strong> low <strong>in</strong>come levels are usually mostat risk <strong>and</strong> will face the severest consequences(Molarius et al., 2012).Accord<strong>in</strong>g to results <strong>fr</strong>om EWENT, different regions<strong>in</strong> <strong>Europe</strong> will respond to future <strong>change</strong>s <strong>in</strong> differentways. In Northern <strong>Europe</strong>, cold spells will becomeless <strong>fr</strong>equent but the amount of snow (especiallyfor the thresholds of deeper snow coverage) will<strong>in</strong>crease. Cont<strong>in</strong>ental climate <strong>in</strong> Eastern <strong>Europe</strong>will cont<strong>in</strong>ue to warm up <strong>and</strong> this results <strong>in</strong> lesscold spells <strong>and</strong> snow. Similar developments willbe observed <strong>in</strong> Central <strong>Europe</strong> <strong>and</strong> the Alp<strong>in</strong>eregion. In the maritime region the ma<strong>in</strong> threat is thepotential <strong>in</strong>crease <strong>in</strong> strong w<strong>in</strong>ds. This will also beobserved <strong>in</strong> the Mediterranean region, where alsothe heat waves are becom<strong>in</strong>g more prolonged by2050 (Leviäkangas et al., 2011; Vajda et al., 2011).Road transport is projected to experience beneficial<strong>and</strong> adverse <strong>impacts</strong>, with somewhat complexregional patterns. Rail transport experiences mostlynegative <strong>impacts</strong>, with the exception of the IberianPen<strong>in</strong>sula; the most severe <strong>impacts</strong> are projected forthe British Isles <strong>and</strong> France. Aviation is projected to208 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.7 Tourism4.7.1 OverviewThe tourism sector accounts for approximately5 % of the total workforce <strong>in</strong> <strong>Europe</strong>. In total, the<strong>Europe</strong>an tourism <strong>in</strong>dustry generates more than 5 %of EU GDP, <strong>and</strong> this figure has been steadily ris<strong>in</strong>g(ECORYS, 2009). The Mediterranean region is theworld's most popular holiday dest<strong>in</strong>ation. It attractssome 120 million visitors <strong>fr</strong>om northern <strong>Europe</strong> eachyear, the largest <strong>in</strong>ternational flow of tourists on theglobe, <strong>and</strong> while there they spend more than EUR100 billion each year (Amelung <strong>and</strong> Moreno, 2009).International tourism is estimated to contributeabout 10 % of GDP <strong>and</strong> employment <strong>in</strong> countriesaround the Mediterranean Sea (Magnan et al., 2012).In popular tourist regions <strong>in</strong> Greece, Spa<strong>in</strong>, France,Italy <strong>and</strong> Portugal both the share of GDP <strong>and</strong>employment is far above these values.In <strong>Europe</strong> tourism shows a strong seasonality, witha peak <strong>in</strong> the summer season (July–September)<strong>and</strong> generally lower levels of activity <strong>in</strong> the w<strong>in</strong>terseason (October–March). <strong>Climate</strong> both <strong>in</strong> tourismsource <strong>and</strong> dest<strong>in</strong>ation regions is an importantresource for many types of summer <strong>and</strong> w<strong>in</strong>tertourism, <strong>and</strong> it is a key factor for the provenanceof tourists <strong>and</strong> their dest<strong>in</strong>ation. There are largeregional differences with<strong>in</strong> <strong>Europe</strong> <strong>and</strong> amongseasons as to attractiveness for tourism. At present,the predom<strong>in</strong>ant tourist flows <strong>in</strong> summer are <strong>fr</strong>omnorth to south, <strong>in</strong> particular to the coastal zone.The knowledge base on climate <strong>change</strong> <strong>and</strong> tourism<strong>in</strong> <strong>Europe</strong> is cont<strong>in</strong>uously be<strong>in</strong>g exp<strong>and</strong>ed, forexample through research projects or <strong>Europe</strong>anTerritorial Cooperation projects, such as AdaptAlp('Adaptation <strong>in</strong> the Alp<strong>in</strong>e Arc'), ClimAlpTour('<strong>Climate</strong> Change <strong>and</strong> its impact on tourism <strong>in</strong> theAlp<strong>in</strong>e Space'), CLISP ('<strong>Climate</strong> Change Adaptationby Spatial Plann<strong>in</strong>g <strong>in</strong> the Alp<strong>in</strong>e Space'), BaltAdapt('Adaptation <strong>in</strong> the Baltic Sea region'), ACCESS('Arctic <strong>Climate</strong> Change, Economy <strong>and</strong> Society')<strong>and</strong> ESPON <strong>Climate</strong> (see Section 5.3). Theseprojects strengthen the <strong>in</strong>formation availableto stakeholders, for example by analys<strong>in</strong>g casestudies <strong>and</strong> develop<strong>in</strong>g tools support<strong>in</strong>g policy<strong>and</strong> decision‐mak<strong>in</strong>g. More <strong>in</strong>formation aboutthese projects is available on the <strong>Europe</strong>an <strong>Climate</strong>Adaptation Platform ( 72 ).There are obviously different types of tourismactivities depend<strong>in</strong>g, amongst others, on thelocation, season <strong>and</strong> personal preferences. Thissection dist<strong>in</strong>guishes between 'general (summer)tourism' (based largely on the Tourism ClimaticIndex (TCI)) <strong>and</strong> 'w<strong>in</strong>ter sport tourism' (basedlargely on Greiv<strong>in</strong>g et al., 2011; Davoudi et al., 2012).None of the <strong>in</strong>formation is presented as an EEA<strong>in</strong>dicator.4.7.2 General tourismAn important foundation for many recent studieson the relationship between climate <strong>and</strong> tourismwas the development of the TCI. This <strong>in</strong>dex is acomposite measure for systematically assess<strong>in</strong>gthe climatic elements that are most relevant to thequality of the tourism experience for the 'average'summer tourist. It uses a weighted aggregate ofseveral climate variables (i.e. maximum <strong>and</strong> me<strong>and</strong>aily temperature, humidity, precipitation, sunsh<strong>in</strong>eKey messages: 4.7 Tourism• Climatic suitability for general tourism activities is currently best <strong>in</strong> southern <strong>Europe</strong>. The regions mostfavourable for general tourism are projected to shift northwards as a result of climate <strong>change</strong>. Thetouristic attractiveness <strong>in</strong> northern <strong>and</strong> central <strong>Europe</strong> would <strong>in</strong>crease <strong>in</strong> most seasons. Suitability ofsouthern <strong>Europe</strong> for tourism would decl<strong>in</strong>e markedly dur<strong>in</strong>g the key summer months but improves <strong>in</strong>other seasons.• The widespread reductions <strong>in</strong> snow cover projected over the 21st century will negatively affect thew<strong>in</strong>ter sports <strong>in</strong>dustry <strong>in</strong> many regions. Regions close to the low elevation limit for w<strong>in</strong>ter sport aremost sensitive to the projected warm<strong>in</strong>g.• The projected climatic <strong>change</strong>s are expected to shift the major flows of tourism <strong>in</strong> <strong>Europe</strong> <strong>and</strong> can havesubstantial consequences for regions where tourism is an important economic sector. The magnitude ofthe economic <strong>impacts</strong> is strongly determ<strong>in</strong>ed by non‐climatic factors, such as the ability of tourists toadjust the tim<strong>in</strong>g of their holidays.( 72 ) <strong>Climate</strong>-ADAPT (http://climate-adapt.eea.europa.eu).<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012209


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health<strong>and</strong> w<strong>in</strong>d) to assess human comfort for generaloutdoor activities. The TCI has been partly validatedfor the Mediterranean countries. Tourism activitiescall<strong>in</strong>g for specific climate conditions are notspecifically covered by the 'st<strong>and</strong>ard' TCI.Changes <strong>in</strong> the TCI are used <strong>in</strong> several new studiesthat <strong>in</strong>vestigate climate <strong>change</strong> effects on tourism(Amelung <strong>and</strong> Moreno, 2009, 2011; Ciscar et al.,2009). Map 4.17 compares the TCI for basel<strong>in</strong>e <strong>and</strong>projected future climate conditions <strong>in</strong> <strong>Europe</strong> <strong>in</strong> allseasons. Accord<strong>in</strong>g to these maps, climate resources<strong>in</strong> the reference period are generally best <strong>in</strong> southern<strong>Europe</strong> (left column). Over this century, climate<strong>change</strong> is projected to shift the latitud<strong>in</strong>al b<strong>and</strong> offavourable climate northward, thereby improv<strong>in</strong>gclimate resources <strong>in</strong> northern <strong>and</strong> central <strong>Europe</strong> <strong>in</strong>most seasons (central column). Southern <strong>Europe</strong>'stourism suitability drops strik<strong>in</strong>gly <strong>in</strong> the summerholiday months; this drop is partially compensatedfor by improvements <strong>in</strong> other seasons (rightcolumn). Further detailed analysis of the <strong>change</strong> <strong>in</strong>the number of acceptable, good <strong>and</strong> excellent daysper month for eight <strong>Europe</strong>an regions is available <strong>in</strong>the orig<strong>in</strong>al study (Perch-Nielsen et al., 2010).The projected decl<strong>in</strong>e <strong>in</strong> the suitability of theMediterranean for tourism dur<strong>in</strong>g the key summermonths could trigger shifts <strong>in</strong> the major flowsof tourism with<strong>in</strong> the EU <strong>and</strong> have importantsocio‐economic consequences for regions wheretourism is a key contributor to the economy. Theeconomic effects of climate <strong>change</strong> on tourismdepend very much on the question whether holidayseasons <strong>in</strong> <strong>Europe</strong> rema<strong>in</strong> fixed or would possiblyshift. With a more flexible tim<strong>in</strong>g of travell<strong>in</strong>g,climate <strong>change</strong> could benefit the tourist <strong>in</strong>dustry <strong>in</strong>the Mediterranean by even<strong>in</strong>g out dem<strong>and</strong>, reduc<strong>in</strong>gthe summer peak while <strong>in</strong>creas<strong>in</strong>g occupancy <strong>in</strong>the spr<strong>in</strong>g <strong>and</strong> autumn, which become climaticallymore suitable. Without such adjustments, however,the Mediterranean tourist <strong>in</strong>dustry is projected to bestrongly negatively affected by climate <strong>change</strong>.potential travellers <strong>fr</strong>om northern <strong>Europe</strong> (Rutty<strong>and</strong> Scott, 2010). The study suggests that only <strong>in</strong>the medium (2046–2065) <strong>and</strong> long term (2080–2099)would dest<strong>in</strong>ations gradually become 'unacceptablyhot' dur<strong>in</strong>g the peak summer months for this targetgroup. It also <strong>in</strong>dicates that <strong>in</strong> the long term thereis the potential for a much longer warm weathertourism season as the selected dest<strong>in</strong>ations would nolonger be considered as 'unacceptably cool' dur<strong>in</strong>gthe Mediterranean's current shoulder season ofspr<strong>in</strong>g <strong>and</strong> autumn.It is important to note that several factors, whichare difficult to model, might alter these generalf<strong>in</strong>d<strong>in</strong>gs. The comb<strong>in</strong>ation of adverse circumstancescould play a crucial role <strong>in</strong> shift<strong>in</strong>g future touristicdest<strong>in</strong>ations <strong>and</strong> seasonality patterns. A plausibleexample could be summer heat waves <strong>in</strong> theMediterranean exacerbated by water supplyproblems due to maximum dem<strong>and</strong> co<strong>in</strong>cid<strong>in</strong>g withm<strong>in</strong>imum resources availability. Changes <strong>in</strong> urbantourism patterns might also have a knock-on effecton summer <strong>and</strong> beach tourism. There might also bea shift towards a greater level of domestic tourism<strong>in</strong> regions with <strong>in</strong>creas<strong>in</strong>g attractiveness. F<strong>in</strong>ally, the<strong>Europe</strong>an tourism <strong>in</strong>dustry is also highly sensitive tothe economic situation <strong>in</strong> <strong>Europe</strong> <strong>and</strong> globally.Water supply problems <strong>in</strong> tourist resorts arebecom<strong>in</strong>g <strong>in</strong>creas<strong>in</strong>gly common <strong>in</strong> <strong>Europe</strong>. Forexample, the Aegean isl<strong>and</strong>s are subject to morethan 15 million overnight stays per year <strong>and</strong> onsome isl<strong>and</strong>s the summer population is 30 timesgreater than the w<strong>in</strong>ter population. Dem<strong>and</strong> forwater has risen markedly <strong>and</strong> is now met throughwater importation <strong>fr</strong>om the ma<strong>in</strong>l<strong>and</strong> by tanker, <strong>and</strong>desal<strong>in</strong>ation (Gikas <strong>and</strong> Tchobanoglous, 2009). Theseproblems would be exacerbated <strong>in</strong> a future climatewith hotter <strong>and</strong> longer summers.The CIRCE project ('<strong>Climate</strong> Change <strong>and</strong> ImpactResearch: the Mediterranean Environment')addressed to some extent the <strong>vulnerability</strong> of coastaltourism <strong>in</strong> the south of <strong>Europe</strong> (Magnan et al., 2012).The f<strong>in</strong>d<strong>in</strong>gs suggest that projected climate <strong>change</strong>would decrease tourism flows <strong>fr</strong>om north to southof <strong>Europe</strong> <strong>and</strong> <strong>in</strong>crease flows with<strong>in</strong> the north of<strong>Europe</strong>. Another study used a survey to elicit theclimatic preferences for summer tourism of 10 beach<strong>and</strong> urban dest<strong>in</strong>ations to the Mediterranean of210 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> healthMap 4.17Projected <strong>change</strong>s <strong>in</strong> the tourism climatic <strong>in</strong>dex for all seasonsNote:Tourism climatic <strong>in</strong>dex (TCI) for four seasons <strong>in</strong> the present period (1961–1990, left), under future climate <strong>change</strong>(2071–2100, middle), <strong>and</strong> <strong>change</strong> between present <strong>and</strong> future period (right). Future climate conditions are based on theSRES A2 scenario <strong>and</strong> derived <strong>fr</strong>om the ensemble mean of five regional climate models that participated <strong>in</strong> the PRUDENCEproject.Source: Perch-Nielsen et al., 2010. Repr<strong>in</strong>ted with permission.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012211


<strong>Climate</strong> <strong>impacts</strong> on socio-economic systems <strong>and</strong> health4.7.3 W<strong>in</strong>ter sport tourismThe w<strong>in</strong>ter sports <strong>in</strong>dustry across <strong>Europe</strong> attractsmillions of tourists each year, generat<strong>in</strong>g nearlyEUR 50 billion <strong>in</strong> annual turnover. The ma<strong>in</strong> w<strong>in</strong>tersport dest<strong>in</strong>ation <strong>in</strong> <strong>Europe</strong> is the Alps where 69 %of Alp<strong>in</strong>e ski areas <strong>in</strong> Germany, 87 % <strong>in</strong> Austria,93 % <strong>in</strong> Italy <strong>and</strong> 97 % <strong>in</strong> France <strong>and</strong> Switzerl<strong>and</strong> canbe considered as naturally snow-reliable under thepresent climate (Agrawala, 2007).Warm w<strong>in</strong>ters have already affected Alp<strong>in</strong>e w<strong>in</strong>tertourism. For example, <strong>in</strong> the record warm w<strong>in</strong>ter2006/2007, some low-altitude ski areas <strong>in</strong> Austriawere not able to offer a cont<strong>in</strong>uous ski<strong>in</strong>g season<strong>fr</strong>om December to April despite be<strong>in</strong>g equippedwith artificial snow-mak<strong>in</strong>g (Steiger, 2011).The widespread reductions <strong>in</strong> snow cover projectedover the 21st century (see Section 2.3.2) will affectsnow reliability <strong>and</strong> consequently the length ofthe ski season. Substantial reductions of naturallysnow-reliable ski areas have been projected for theAlps, for the Black Forest region <strong>in</strong> Germany <strong>and</strong> forSweden (Agrawala, 2007; Moen <strong>and</strong> Fredman, 2007;Endler <strong>and</strong> Matzarakis, 2011). Low-ly<strong>in</strong>g ski areasare most sensitive to climate <strong>change</strong>. Studies haveestimated that an <strong>in</strong>crease of mean temperatures of1 °C <strong>in</strong> low-ly<strong>in</strong>g regions <strong>in</strong> the Alps will reduce theski<strong>in</strong>g season by up to 6 weeks (Hantel et al., 2000;Beniston et al., 2007).Artificial snow-mak<strong>in</strong>g is still the ma<strong>in</strong> adaptationoption, cover<strong>in</strong>g 38 % of the total ski<strong>in</strong>g area <strong>in</strong>the <strong>Europe</strong>an Alps <strong>and</strong> show<strong>in</strong>g an <strong>in</strong>crease by48 % s<strong>in</strong>ce 2004 (Agrawala, 2007; Rixen et al.,2011). However, there are both environmental <strong>and</strong>economic constra<strong>in</strong>ts to an expansion of artificialsnow-mak<strong>in</strong>g.212 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Vulnerability to climate <strong>change</strong>5 Vulnerability to climate <strong>change</strong>5.1 IntroductionThe <strong>vulnerability</strong> of natural <strong>and</strong> human systems <strong>in</strong><strong>Europe</strong> to climate <strong>change</strong> <strong>and</strong> other stressors results<strong>fr</strong>om a series of factors. It is widely recognisedthat climate <strong>change</strong> is an additional stressor tosocio‐economic <strong>and</strong> demographic developmentsthat strongly determ<strong>in</strong>e the level of exposure of<strong>Europe</strong>an population <strong>and</strong> <strong>in</strong><strong>fr</strong>astructure.This chapter presents <strong>in</strong>formation on the<strong>vulnerability</strong> of populations <strong>and</strong> regions toclimate <strong>change</strong>, consider<strong>in</strong>g where available otherrelevant developments, such as demographic<strong>and</strong> socio‐economic <strong>change</strong>s, technological<strong>in</strong>novation, <strong>and</strong> consumption <strong>and</strong> settlementpatterns. The <strong>in</strong>formation stems <strong>fr</strong>om variousEU projects (ClimWatAdapt, PESETA-I, ESPON<strong>Climate</strong>, <strong>Climate</strong>Cost). In addition, this chapterpresents <strong>in</strong>formation on economic losses <strong>fr</strong>omobserved weather <strong>and</strong> climate events (Munich RENatCatSERVICE <strong>and</strong> EM-DAT disaster databases).The <strong>in</strong>formation presented here is relevant for<strong>in</strong>form<strong>in</strong>g <strong>Europe</strong>an adaptation policy. However, itis not suitable to be presented as an EEA <strong>in</strong>dicatordue to limited availability of observed data,uncerta<strong>in</strong>ty about the cont<strong>in</strong>uity of <strong>in</strong>formationprovision, or <strong>in</strong>formation be<strong>in</strong>g presented <strong>in</strong> relative(unitless) units only.Note that the term <strong>vulnerability</strong> is used <strong>in</strong> ratherdifferent ways by various scientific discipl<strong>in</strong>es,communities of practitioners, <strong>and</strong> decision-makers<strong>in</strong>volved <strong>in</strong> climate <strong>change</strong> science <strong>and</strong> policy(see Section 1.7 for a more detailed discussion).Section 5.2 (based on ClimWatAdapt) <strong>and</strong> Section 5.3(based on ESPON <strong>Climate</strong>) apply the 'outcome<strong>in</strong>terpretation' of <strong>vulnerability</strong> as def<strong>in</strong>ed <strong>in</strong> theIPCC AR4. In contrast, use of the term <strong>vulnerability</strong><strong>in</strong> Section 5.4 (on cities <strong>and</strong> urban areas) is moreclosely related to that of the disaster risk community.5.2 River flood<strong>in</strong>g, water scarcity <strong>and</strong>droughtsSection 3.3 addressed climate <strong>change</strong> <strong>impacts</strong>on <strong>in</strong>l<strong>and</strong> waters <strong>in</strong> connection with, amongstothers, hydrological <strong>change</strong>s <strong>and</strong> river flow (wateravailability), <strong>and</strong> the past <strong>and</strong> projected occurrenceof river floods <strong>and</strong> water scarcity <strong>and</strong> droughts. Thissection briefly presents the projected socio‐economicconsequences of river floods <strong>and</strong> water scarcity<strong>and</strong> droughts, on the basis of the results of theClimWatAdapt project <strong>and</strong> other studies.The economic losses due to past floods <strong>in</strong> <strong>Europe</strong>have <strong>in</strong>creased over the last decades (Barredo,2009) ma<strong>in</strong>ly as a consequence of socio‐economicfactors such as <strong>in</strong>creased population <strong>and</strong> wealthKey messages: 5.2 River flood<strong>in</strong>g, water scarcity <strong>and</strong> droughts• In large parts of <strong>Europe</strong> annual economic losses due to floods are projected to significantly <strong>in</strong>crease<strong>in</strong> the future. Water stress is projected to worsen <strong>in</strong> the absence of susta<strong>in</strong>able approaches to themanagement of <strong>Europe</strong>'s water resources.• Future socio‐economic developments, such as <strong>change</strong>s <strong>in</strong> l<strong>and</strong> use <strong>and</strong> demography, will play a centralrole <strong>in</strong> determ<strong>in</strong><strong>in</strong>g <strong>Europe</strong>'s <strong>vulnerability</strong> to floods, droughts <strong>and</strong> water scarcity, with climate <strong>change</strong>be<strong>in</strong>g an additional factor.• Decreas<strong>in</strong>g water availability is projected to exacerbate water stress, especially <strong>in</strong> southern <strong>Europe</strong>.Increas<strong>in</strong>g irrigation efficiency can reduce irrigation water withdrawals to some degree but will not besufficient to compensate for climate-<strong>in</strong>duced <strong>in</strong>creases <strong>in</strong> water stress.• Environmental flows, which are important for the healthy ma<strong>in</strong>tenance of aquatic ecosystems, arethreatened by climate <strong>change</strong> <strong>impacts</strong> <strong>and</strong> socio‐economic developments.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012213


Vulnerability to climate <strong>change</strong><strong>in</strong> flood‐prone areas as well as climate <strong>change</strong>.However, it is difficult to detangle the specificeffect of climate <strong>change</strong> on these economic losses<strong>fr</strong>om floods (Feyen et al., 2011). So the observationsprovide no conclusive <strong>and</strong> general proof on howclimate <strong>change</strong> affects flood risks. Also, the effect offlood protection measures is not unambiguous. Forexample, dikes are taken as a safety guarantee bypopulations liv<strong>in</strong>g <strong>in</strong> flood-prone areas. Thus, theremay be <strong>in</strong>centives to build <strong>in</strong> these flood-prone areas<strong>and</strong> thus damage potential may have grown morethan if no or fewer measures would have been taken.Thus, damages when such an area was flooded mayhave been higher than <strong>in</strong> the case of less or no floodprotection (Kundzewicz et al., 2010).Map 5.1 shows the affected population <strong>and</strong> grossvalue added (GVA) affected by floods for the 2050sfor the 'Economy First' scenario, tak<strong>in</strong>g <strong>in</strong>to accountboth climate <strong>change</strong> <strong>and</strong> socio‐economic <strong>change</strong>s.Economy First is a scenario where a globalised<strong>and</strong> liberalised economy pushes the use of allavailable energy sources <strong>and</strong> an <strong>in</strong>tensificationof agriculture where profitable. The adoption ofnew technologies <strong>and</strong> water-sav<strong>in</strong>g consciousnessare low <strong>and</strong> thus, water use <strong>in</strong>creases. Only waterecosystems provid<strong>in</strong>g ecological goods <strong>and</strong> servicesfor economies are preserved <strong>and</strong> improved. Forthis Economy First scenario, for many parts of<strong>Europe</strong> the GVA affected by floods for the 2050s islarger than for the basel<strong>in</strong>e scenario. Differences<strong>in</strong> the affected population are estimated to besmall. The analysis also shows an uneven patternof <strong>vulnerability</strong> across <strong>Europe</strong>. Note that the mapsshow the absolute number of affected people or GVA<strong>in</strong> a region rather than the percentage of populationor GVA. It should also be noted that there are largedifferences <strong>in</strong> <strong>change</strong>s <strong>in</strong> projected flood <strong>fr</strong>equency<strong>and</strong> <strong>in</strong>tensity between different climate models.Map 5.1Estimated number of people <strong>and</strong> gross value affected by 100-year flood events <strong>in</strong>the 'Economy First' scenario for the 2050sa) b)Note:Number of people (a) <strong>and</strong> amount of manufactur<strong>in</strong>g gross value added (GVA), (b) affected by 100-year flood events <strong>in</strong> the'Economy First' scenario for the 2050s. Calculations based on median ensemble results <strong>fr</strong>om LISFLOOD l<strong>in</strong>ked to populationprojections <strong>fr</strong>om SCENES scenarios.Source: Flörke, Wimmer, Cornelius, et al., 2011.214 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Vulnerability to climate <strong>change</strong>The ClimWatAdapt project also prepared projectionsfor low flow <strong>and</strong> water stress. Map 5.2 showsannual water stress, which is calculated as theratio of water abstraction to availability for twoscenarios. Due to various uncerta<strong>in</strong>ties care shouldbe taken <strong>in</strong> <strong>in</strong>terpret<strong>in</strong>g these projections. Detailson the assumptions <strong>and</strong> models are available <strong>in</strong>their f<strong>in</strong>al report (Flörke, Wimmer, Laaser, et al.,2011). In the Economy First scenario water stressshows a large <strong>in</strong>crease for the 2050s across muchof <strong>Europe</strong> compared to the current situation. Theimplementation of a susta<strong>in</strong>able approach tothe management of <strong>Europe</strong>'s water resources is<strong>in</strong>vestigated <strong>in</strong> a 'Susta<strong>in</strong>ability First' scenario. Thisscenario sketches the transition <strong>fr</strong>om a globalis<strong>in</strong>g,market-oriented <strong>Europe</strong> to environmentalsusta<strong>in</strong>ability, where local <strong>in</strong>itiatives are lead<strong>in</strong>g.A considerable reduction <strong>in</strong> annual water stress isprojected across much of <strong>Europe</strong>, compared to boththe Economy First scenario <strong>and</strong> the present daysituation (Flörke, Wimmer, Laaser, et al., 2011).Drought risks will <strong>in</strong>crease throughout largeareas of the EU (see also Section 2.2.5), wherebysouthern <strong>Europe</strong> is the most vulnerable region <strong>in</strong><strong>Europe</strong>. Increas<strong>in</strong>g irrigation efficiency can reduceirrigation water withdrawals to some degree buttechnological <strong>change</strong>s will not be sufficient tosave southern <strong>Europe</strong> <strong>fr</strong>om water stress. Besidesagriculture, electricity production is vulnerableto climate <strong>change</strong> effects on river low flows <strong>and</strong>water temperature for their cool<strong>in</strong>g water (seeSection 4.5.3). However, the energy sector has ahigh potential to reduce water withdrawals throughtechnological improvements.Environmental flows, which are important forthe healthy ma<strong>in</strong>tenance of aquatic ecosystems,are threatened by climate <strong>change</strong> <strong>impacts</strong><strong>and</strong> socio‐economic developments. Althougha Good Ecological Status is required by theWater Framework Directive (WFD), river bas<strong>in</strong>management plans currently do not consider climate<strong>change</strong> <strong>impacts</strong> sufficiently <strong>and</strong> further coord<strong>in</strong>ationbetween river bas<strong>in</strong> management plans <strong>and</strong> droughtmanagement plans is preferable. M<strong>and</strong>atory waterabstraction schemes are needed dur<strong>in</strong>g low-flowperiods to protect ecosystems. Many river bas<strong>in</strong>sare expected to be <strong>in</strong> the severe water stress class <strong>in</strong>2050. Competition for scarce water resources couldbe an ongo<strong>in</strong>g source of tension between differentusers <strong>and</strong> <strong>in</strong> the case of transboundary river bas<strong>in</strong>sbetween nations as well.Map 5.2Annual water stress for present conditions <strong>and</strong> projections for two scenariosPresent climate2050 projectionEconomy First scenario2050 projectionSusta<strong>in</strong>ability Eventually scenario60°60°50°50°50°40°40°40°0 500 1000 1500 km 20° 30° 40° 0 500 1000 1500 km 20° 30° 40° 0 500 1000 1500 km 20° 30° 40°Annual water stress for present conditions <strong>and</strong> projections for two scenariosLow Mild Severe Outside coverageNote: Left: present climate; middle: projection for 2050 based on Economy First scenario, median of general circulation models —regional climate models (GCM-RCM) comb<strong>in</strong>ations;right: projection for 2050 based on Susta<strong>in</strong>ability Eventually scenario, median of GCM-RCM comb<strong>in</strong>ations.Yellow: low water stress (withdrawals-to-availability ratio: 0–0.2); orange: mild water stress (withdrawals-to-availabilityratio: 0.2–0.4), red: severe water stress (withdrawals-to-availability ratio: > 0.4).Source: Flörke, Wimmer, Laaser, et al., 2011.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012215


Vulnerability to climate <strong>change</strong>5.3 Integrated assessment of<strong>vulnerability</strong> to climate <strong>change</strong>5.3.1 The ESPON <strong>Climate</strong> projectThe ESPON <strong>Climate</strong> project, whose results arepresented below, developed a methodology whichprovides common metrics for assess<strong>in</strong>g <strong>impacts</strong> <strong>and</strong><strong>vulnerability</strong> to climate <strong>change</strong>s <strong>in</strong> an <strong>in</strong>tegratedmanner. Its results are broadly consistent with the<strong>in</strong>formation presented <strong>in</strong> earlier chapters of thisreport.The ESPON <strong>Climate</strong> project ( 73 ) is a good examplefor policy-oriented research that takes up thechallenge of climate <strong>change</strong>'s multi-dimensionalnature. The project conducted an <strong>in</strong>tegrated<strong>and</strong> pan-<strong>Europe</strong>an climate <strong>change</strong> <strong>vulnerability</strong>assessment with a prime focus on the territorialdimension. In contrast to more specialised sectoralstudies, this <strong>in</strong>tegrated <strong>and</strong> territorial approachensured that f<strong>in</strong>d<strong>in</strong>gs would be comparablebetween sectors <strong>and</strong> between regions. The projectthus enables policymakers to underst<strong>and</strong> boththe diversity <strong>and</strong> accumulation of climate <strong>change</strong><strong>impacts</strong> <strong>and</strong> to develop territorially differentiatedadaptation strategies at the <strong>Europe</strong>an, national <strong>and</strong>regional levels.Methodologically the project compared projectionsof the CCLM climate model (A1B scenario) for thetime periods 1961–1990 <strong>and</strong> 2071–2100 ( 74 ). Eightclimate <strong>change</strong> variables ( 75 ) were thus calculated<strong>and</strong> supplemented by two variables on 'triggered'<strong>change</strong>s <strong>in</strong> river flood<strong>in</strong>g <strong>and</strong> coastal storm surgeflood<strong>in</strong>g. These exposure <strong>in</strong>dicators were thenrelated to 22 sensitivity <strong>in</strong>dicators ( 76 ). The result<strong>in</strong>g<strong>in</strong>dividual impact <strong>in</strong>dicators were afterwardsaggregated to determ<strong>in</strong>e the physical, cultural,social, economic <strong>and</strong> environmental <strong>impacts</strong> ofclimate <strong>change</strong> (always at the NUTS3 level). Theaggregate impact was calculated us<strong>in</strong>g differentweights for these impact dimensions, based ona Delphi survey among the ESPON Monitor<strong>in</strong>gCommittee, which represented the <strong>Europe</strong>anCommission, 27 <strong>Europe</strong>an countries <strong>and</strong> 4 PartnerStates. Similarly, 15 <strong>in</strong>dicators on the economic,technological, educational <strong>and</strong> <strong>in</strong>stitutional adaptivecapacity were aggregated. F<strong>in</strong>ally, adaptive capacity<strong>and</strong> <strong>impacts</strong> were comb<strong>in</strong>ed <strong>in</strong> order to determ<strong>in</strong>ethe climate <strong>change</strong> <strong>vulnerability</strong> of each region.Seven case studies at the trans-national, regional <strong>and</strong>local levels cross-checked <strong>and</strong> deepened the f<strong>in</strong>d<strong>in</strong>gsof the pan-<strong>Europe</strong>an assessment <strong>and</strong> explored thediversity of response approaches to climate <strong>change</strong>.Obviously also the ESPON <strong>Climate</strong> project haslimitations: For example, it is based on only oneclimate forc<strong>in</strong>g scenario (A1B) <strong>and</strong> one climatemodel (CCLM) as the multi-model data sets ofENSEMBLES were not available yet when therespective ESPON analyses were performed.Furthermore, while the project was able to <strong>in</strong>tegratesome long-term demographic trends, the bigchallenge rema<strong>in</strong>s to develop long-term projectionsfor all areas of economic, physical, environmental<strong>and</strong> cultural sensitivity that would thus match theclimate models' projections. Therefore, the project'sKey messages: 5.3 Integrated assessment of <strong>vulnerability</strong> to climate <strong>change</strong>• The most vulnerable types of <strong>Europe</strong>an regions <strong>in</strong>clude: 1) Coastal regions with high population, <strong>in</strong>particular those with high dependency on summer tourism, 2) mounta<strong>in</strong> regions with high dependenceon w<strong>in</strong>ter <strong>and</strong> summer tourism, 3) agglomerations with high population density, where the problem ofurban heat might become most relevant, <strong>and</strong> 4) regions exposed to river flood<strong>in</strong>g.• Most regions for which climate <strong>change</strong> <strong>impacts</strong> are expected to be the most severe (ma<strong>in</strong>ly <strong>in</strong> thesouth) are also the ones exhibit<strong>in</strong>g low adaptive capacity.• The <strong>in</strong>tegrated assessment of <strong>Europe</strong>an regions' <strong>vulnerability</strong> to climate <strong>change</strong> suggests that it willprobably deepen the exist<strong>in</strong>g socio‐economic imbalances with<strong>in</strong> <strong>Europe</strong> <strong>and</strong> eventually play out aga<strong>in</strong>stfurther territorial cohesion.( 73 ) 'ESPON <strong>Climate</strong> — <strong>Climate</strong> Change <strong>and</strong> Territorial Effects on Regions <strong>and</strong> Local Economies'. Conducted 2009–2011. Funded byESPON Programme 2013. Coord<strong>in</strong>ated by Institute of Spatial Plann<strong>in</strong>g (IRPUD), TU Dortmund University.( 74 ) For details on the methodology <strong>and</strong> f<strong>in</strong>d<strong>in</strong>gs of ESPON <strong>Climate</strong>, see (Greiv<strong>in</strong>g et al., 2011).( 75 ) Exposure <strong>in</strong>dicators used by ESPON <strong>Climate</strong> related to <strong>change</strong> <strong>in</strong> annual mean temperature, <strong>fr</strong>ost days, summer days, w<strong>in</strong>terprecipitation, summer precipitation, heavy ra<strong>in</strong>fall days, snow cover days <strong>and</strong> evaporation.( 76 ) Sensitivity <strong>in</strong>dicators used by ESPON <strong>Climate</strong> related to roads, railways, airports, harbours, thermal power stations, ref<strong>in</strong>eries,settlements, coastal population, population <strong>in</strong> river valleys, heat sensitive population <strong>in</strong> urban heat isl<strong>and</strong>s, Natura 2000 protectedareas, occurrence of forest fires, soil organic carbon, soil erosion, museums, cultural World Heritage Sites, energy supply <strong>and</strong>dem<strong>and</strong>, agriculture <strong>and</strong> forestry employment <strong>and</strong> GDP, tourism comfort <strong>in</strong>dex <strong>and</strong> tourist accommodations.216 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Vulnerability to climate <strong>change</strong>results have to be seen as a <strong>vulnerability</strong> scenario,which shows what <strong>Europe</strong>'s future <strong>in</strong> the wakeof climate <strong>change</strong> may look like (based on currentknowledge <strong>and</strong> assumptions), <strong>and</strong> not as a clear-cutforecast.ESPON <strong>Climate</strong> is one of several recent EU‐fundedresearch projects that employ an <strong>in</strong>tegratedmethodology to assess<strong>in</strong>g climate <strong>change</strong> <strong>impacts</strong>,adaptation <strong>and</strong> <strong>vulnerability</strong>, for example likeClimSAVE, RESPONSES <strong>and</strong> MEDIATION.However, these other projects are still ongo<strong>in</strong>g<strong>and</strong> are scheduled to deliver their f<strong>in</strong>al results bythe end of 2012 <strong>and</strong> 2013, respectively. There areonly a few other studies at the <strong>Europe</strong>an level thatattempted a cross-sectoral, <strong>in</strong>tegrated <strong>vulnerability</strong>assessment like the one presented <strong>in</strong> this chapter.As part of its Regions 2020 report, the <strong>Europe</strong>anCommission commissioned a background paperon the challenges of climate <strong>change</strong> for <strong>Europe</strong>'sregions (Römisch, 2009). This <strong>vulnerability</strong>assessment was <strong>in</strong>tegrated <strong>in</strong>to the Regions 2020background report on climate <strong>change</strong> (EC, 2008).The Regions 2020 <strong>vulnerability</strong> <strong>in</strong>dex differs <strong>fr</strong>omthe ESPON <strong>Climate</strong> <strong>vulnerability</strong> assessment, forexample it used NUTS2 level, two climate <strong>change</strong><strong>and</strong> five sensitivity <strong>in</strong>dicators, no adaptive capacity<strong>in</strong>dicators, different weight<strong>in</strong>g methods <strong>and</strong> anA2 climate scenario. Consequently the results areless robust <strong>and</strong> f<strong>in</strong>e-gra<strong>in</strong>ed, but nevertheless showsimilar overall spatial patterns <strong>in</strong> that regions <strong>in</strong>the south <strong>and</strong> south-east of <strong>Europe</strong> are the mostvulnerable regions.A more extensive follow-up study to the Regions2020 report was performed <strong>in</strong> 2011for the <strong>Europe</strong>anCommission (Aversano-Dearborn et al., 2011).This study analysed key challenges fac<strong>in</strong>g <strong>Europe</strong><strong>in</strong> regard to globalisation, demographic <strong>change</strong>,secure, susta<strong>in</strong>able <strong>and</strong> competitive energy,social polarisation <strong>and</strong>, lastly, climate <strong>change</strong>. Inregard to climate <strong>change</strong>, aggregate <strong>vulnerability</strong><strong>in</strong>dicators were developed (build<strong>in</strong>g on 12 impact<strong>and</strong> 10 adaptive capacity <strong>in</strong>dicators) for agriculture<strong>and</strong> forestry, natural <strong>and</strong> semi-natural ecosystems,natural hazards <strong>and</strong> coastal threats, health <strong>and</strong>heat waves, water dependency <strong>and</strong> summertourism. These were subsequently comb<strong>in</strong>ed <strong>in</strong> acluster analysis. However, despite its ambitious<strong>in</strong>tegrated approach, the study's results cannotbe compared with those <strong>fr</strong>om ESPON <strong>Climate</strong>,because (Aversano-Dearborn et al., 2011) used only<strong>in</strong>dicators on past <strong>and</strong> current climate, that is, noclimate projections.5.3.2 Key f<strong>in</strong>d<strong>in</strong>gsThe project's f<strong>in</strong>d<strong>in</strong>gs regard<strong>in</strong>g <strong>impacts</strong> of climate<strong>change</strong> may be grouped <strong>in</strong>to <strong>impacts</strong> primarilycaused by extreme events (flood<strong>in</strong>g <strong>and</strong> heat)<strong>and</strong> those caused by <strong>change</strong>s of average climateconditions. The former group consists of potentialphysical, cultural <strong>and</strong> social <strong>impacts</strong> (displayed <strong>in</strong>Map 5.3) whereas the latter consists of economic <strong>and</strong>environmental sub-systems that are sensitive evento creep<strong>in</strong>g climatic <strong>change</strong>s (see Map 5.4). When<strong>in</strong>terpret<strong>in</strong>g the maps below, it is important to notethat they show a comb<strong>in</strong>ation of absolute <strong>impacts</strong>(per NUTS3 region) <strong>and</strong> relative <strong>impacts</strong> (per personor unit area). For example, regions shown with thehighest social <strong>impacts</strong> have high social <strong>impacts</strong> perperson <strong>and</strong> a large population.Potential physical <strong>impacts</strong> relate to physicalstructures such as settlements, roads, railways,airports, harbours, thermal power plants <strong>and</strong>ref<strong>in</strong>eries. These structures are especially sensitiveto flood events. Consequently, the adjustment ofcoastal storm surge heights with the projectedsea‐level rise accounts for most of the high <strong>impacts</strong><strong>in</strong> north‐western <strong>Europe</strong>an regions border<strong>in</strong>g theAtlantic Ocean (sometimes exacerbated by fluvial<strong>and</strong> pluvial flood<strong>in</strong>g). Projected <strong>in</strong>creases <strong>in</strong> riverflood heights are responsible for regional 'hot spots'<strong>in</strong> Italy, Hungary <strong>and</strong> Slovenia. However, large partsof <strong>Europe</strong> may not expect significant <strong>impacts</strong> ontheir <strong>in</strong><strong>fr</strong>astructure result<strong>in</strong>g <strong>fr</strong>om climate <strong>change</strong>.In fact, physical structures <strong>in</strong> some central <strong>and</strong>southern <strong>Europe</strong>an regions may even experienceless climate-related <strong>impacts</strong> due to decreas<strong>in</strong>gprecipitation <strong>in</strong> these regions.The potential social <strong>impacts</strong> of climate <strong>change</strong>relate to <strong>Europe</strong>'s population, which is also ma<strong>in</strong>lysensitive to extreme events that are driven byclimate <strong>change</strong>: coastal storm surges exacerbatedby sea-level rise, <strong>in</strong>creases <strong>in</strong> river flood heights,<strong>in</strong>creas<strong>in</strong>g flash floods, but also <strong>in</strong>creas<strong>in</strong>g heatevents. Sensitivity to these <strong>change</strong>s is a matterof location, age group distribution, but also thedensity <strong>and</strong> size of urban areas that create urbanheat isl<strong>and</strong> (UHI) effects. Hence, the social impactpatterns aga<strong>in</strong> largely resemble those of physical<strong>impacts</strong>, because population centres are alsoconcentrations of build<strong>in</strong>gs <strong>and</strong> <strong>in</strong><strong>fr</strong>astructures. Thehighest <strong>impacts</strong> are primarily flood-related <strong>and</strong> areprojected for urban agglomerations on the Belgian,Dutch <strong>and</strong> Norwegian coasts as well as the city<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012217


Vulnerability to climate <strong>change</strong>Map 5.3Potential physical, social <strong>and</strong> cultural impact of climate <strong>change</strong>Note:Normalised potential <strong>impacts</strong> aggregated <strong>fr</strong>om <strong>in</strong>dividual impact <strong>in</strong>dicators on roads, rail, airports, harbours, settlements,power stations <strong>and</strong> ref<strong>in</strong>eries (physical), population <strong>in</strong> coastal areas, river valleys, urban heat isl<strong>and</strong>s <strong>and</strong> flash flood-pronepopulation (social), <strong>and</strong> museums as well as cultural World Heritage Sites <strong>in</strong> coastal areas <strong>and</strong> river valleys (cultural).Source: ESPON <strong>Climate</strong>, 2011.218 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Vulnerability to climate <strong>change</strong>regions around Barcelona, Venice <strong>and</strong> Ljubljana. Inaddition, southern <strong>Europe</strong> would be more affectedbecause of the more compact urban form of itscities <strong>and</strong> greater <strong>in</strong>creases <strong>in</strong> hot summer days. Incontrast, the population of most non‐coastal areas of<strong>Europe</strong> is potentially not or only marg<strong>in</strong>ally affectedby climate <strong>change</strong> <strong>and</strong> some regions are evenprojected to have positive <strong>impacts</strong> due to decl<strong>in</strong><strong>in</strong>gflood hazards, for example <strong>in</strong> Pol<strong>and</strong> <strong>and</strong> Portugal.The potential cultural <strong>impacts</strong> of climate <strong>change</strong>focused on tangible cultural assets, because<strong>in</strong>tangibles like norms <strong>and</strong> attitudes wereconsidered part of the adaptive capacity of a region.More precisely, ESPON <strong>Climate</strong> analysed whatimpact the projected climatic <strong>change</strong>s may haveon the 350 UNESCO World Heritage Sites <strong>and</strong>approximately 20 000 museums <strong>in</strong> <strong>Europe</strong>. Notsurpris<strong>in</strong>gly the impact patterns for these culturalMap 5.4Potential environmental <strong>and</strong> economic impact of climate <strong>change</strong>CanariasCanariasMart<strong>in</strong>iqueMart<strong>in</strong>iqueGuadeloupeRèunionGuadeloupeRèunionGuyaneGuyaneMadeiraMadeiraAcoresAcores© IRPUD, ESPON <strong>Climate</strong> Project, 20110 250 500km© NU & IRPUD, ESPON <strong>Climate</strong> Project, 20110 250 500kmPotential environmental impact of climate <strong>change</strong>Highest negative impactMedium negative impactLow negative impactNo/marg<strong>in</strong>al impactNo dataReduced dataPotential economic impact of climate <strong>change</strong>Highest negative impactMedium negative impactLow negative impactNo/marg<strong>in</strong>al impactLow positive impactMedium positive impactHigh positive impactNo dataReduced dataNote:Normalised potential <strong>impacts</strong> aggregated <strong>fr</strong>om <strong>in</strong>dividual impact <strong>in</strong>dicators on protected natural areas, forest fire‐proneforests, soil organic carbon <strong>and</strong> soil erosion (environmental), <strong>and</strong> agriculture <strong>and</strong> forestry, energy production <strong>and</strong>consumption as well as summer <strong>and</strong> w<strong>in</strong>ter tourism (economic).Source: ESPON <strong>Climate</strong>, 2011.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012219


Vulnerability to climate <strong>change</strong>assets resemble those for <strong>in</strong><strong>fr</strong>astructures <strong>and</strong>settlements: The high <strong>impacts</strong> <strong>in</strong> Belgium, northernFrance, Italy, Hungary, the Netherl<strong>and</strong>s, Slovenia,Slovakia, <strong>and</strong> <strong>in</strong> parts of Denmark <strong>and</strong> F<strong>in</strong>l<strong>and</strong> area consequence of the projected <strong>in</strong>crease of floodhazards <strong>and</strong> the density of cultural sites <strong>in</strong> theseregions. On the other h<strong>and</strong>, cultural assets <strong>in</strong> somecentral <strong>Europe</strong>an regions, especially <strong>in</strong> Pol<strong>and</strong>,would benefit <strong>fr</strong>om decreas<strong>in</strong>g flood hazards.The potential economic <strong>impacts</strong> of climate<strong>change</strong> were analysed <strong>in</strong> regard to especiallyclimate‐sensitive economic sectors, namelyagriculture <strong>and</strong> forestry, energy production <strong>and</strong>consumption as well as summer <strong>and</strong> w<strong>in</strong>ter tourism.Overall, the economic <strong>impacts</strong> of climate <strong>change</strong>show a clear south-north gradient: many central<strong>Europe</strong>an regions <strong>and</strong> almost all Sc<strong>and</strong><strong>in</strong>avianregions are projected to have positive <strong>impacts</strong>,while almost all southern <strong>Europe</strong>an regions wouldexperience negative <strong>impacts</strong>. This is largely due tothe economic dependency of large parts of southern<strong>Europe</strong> on (summer) tourism <strong>and</strong> agriculture. Bothsectors are projected to be negatively impactedby <strong>in</strong>creas<strong>in</strong>g temperatures <strong>and</strong> decreases <strong>in</strong>precipitation, whereas the environmental conditionsfor agriculture <strong>in</strong> north-eastern <strong>Europe</strong> tend toimprove. In addition, energy dem<strong>and</strong>s would rise<strong>in</strong> the south for cool<strong>in</strong>g purposes <strong>and</strong> decrease <strong>in</strong>the north due to less heat<strong>in</strong>g. F<strong>in</strong>ally, the Alps as apremier tourist‐dependent region can be identifiedas an impact 'hotspot', which ma<strong>in</strong>ly results <strong>fr</strong>om theprojected decrease <strong>in</strong> snow cover days.The potential environmental <strong>impacts</strong> analysedrelate to protected natural areas, soil organiccarbon content, <strong>and</strong> the propensity of soil erosion<strong>and</strong> forest fires. The overall f<strong>in</strong>d<strong>in</strong>gs show that forthese environmental variables negative <strong>impacts</strong>are projected for almost all <strong>Europe</strong>an regions.But the highest negative environmental <strong>impacts</strong>are expected <strong>in</strong> the north <strong>and</strong> south of <strong>Europe</strong>. Insouthern <strong>Europe</strong>an regions the drier <strong>and</strong> hotterclimate is projected to <strong>in</strong>crease the likelihood offorest fires <strong>and</strong> to also degrade soil conditions<strong>in</strong> mounta<strong>in</strong>ous <strong>and</strong> coastal areas. The severeenvironmental <strong>impacts</strong> <strong>in</strong> northern Sc<strong>and</strong><strong>in</strong>aviaare ma<strong>in</strong>ly due to very large protected areas whereany climatic <strong>change</strong> (<strong>in</strong> this case warmer <strong>and</strong> wetterclimate) is considered as negatively affect<strong>in</strong>g thespecific ecosystems under protection.A def<strong>in</strong><strong>in</strong>g feature of ESPON <strong>Climate</strong> was theaggregation of sectoral <strong>impacts</strong> to aggregate<strong>impacts</strong>, <strong>and</strong> the comb<strong>in</strong>ation of aggregate<strong>impacts</strong> with adaptive capacity to the potential<strong>vulnerability</strong> (see Map 5.5). The aggregatepotential <strong>impacts</strong> of climate <strong>change</strong> exhibit thefollow<strong>in</strong>g general patterns: coastal regions areprojected to be negatively affected because theirhigh concentrations of physical, economic, social<strong>and</strong> cultural assets would face <strong>in</strong>creas<strong>in</strong>g floodhazards. Southern <strong>Europe</strong>an regions are expectedto be negatively impacted because their hotter <strong>and</strong>drier climates severely worsen conditions for theirpopulations, economies <strong>and</strong> natural environments.Highly negative <strong>impacts</strong> are therefore projectedfor southern <strong>Europe</strong>'s agglomerations <strong>and</strong> touristresorts along the coasts. But <strong>in</strong>l<strong>and</strong> mounta<strong>in</strong>regions that are dependent on agriculture, forestry<strong>and</strong> w<strong>in</strong>ter <strong>and</strong>/or summer tourism would also behighly affected. In contrast, many central, eastern<strong>and</strong> northern <strong>Europe</strong>an regions would face virtuallyno negative <strong>impacts</strong> or would even experiencepositive <strong>impacts</strong> of climate <strong>change</strong> — ma<strong>in</strong>ly due tomarg<strong>in</strong>al climatic <strong>change</strong>s or projected decreases <strong>in</strong>river <strong>and</strong> flash floods.The adaptive capacity was def<strong>in</strong>ed by <strong>in</strong>dicatorson knowledge <strong>and</strong> awareness, economic resourcesas well as technological, <strong>in</strong><strong>fr</strong>astructural <strong>and</strong><strong>in</strong>stitutional capacity to adapt to climate <strong>change</strong>.Mapp<strong>in</strong>g the overall adaptive capacity yields analmost <strong>in</strong>verted pattern compared to the impactmap: Most regions for which climate <strong>change</strong> <strong>impacts</strong>are expected to be the most severe (ma<strong>in</strong>ly <strong>in</strong> thesouth) are <strong>in</strong> fact the least capable of adapt<strong>in</strong>g tothese <strong>impacts</strong>.F<strong>in</strong>ally, comb<strong>in</strong><strong>in</strong>g aggregate <strong>impacts</strong> <strong>and</strong> adaptivecapacity results <strong>in</strong> the potential <strong>vulnerability</strong> toclimate <strong>change</strong>. The <strong>vulnerability</strong> map seems tomirror the territorial pattern of potential <strong>impacts</strong>,but with an even more pronounced south-northgradient. This is due to the high adaptive capacity<strong>in</strong> western <strong>Europe</strong>an <strong>and</strong> Sc<strong>and</strong><strong>in</strong>avian regions,which partly compensates for the potential <strong>impacts</strong>projected for these regions. On the other h<strong>and</strong>,<strong>in</strong> south-east <strong>Europe</strong> <strong>and</strong> <strong>in</strong> the Mediterraneanregion, where medium to high negative <strong>impacts</strong> areexpected, the ability to adapt to climate <strong>change</strong> isgenerally lower thus result<strong>in</strong>g <strong>in</strong> even higher levelsof <strong>vulnerability</strong>. The overall most vulnerable types o<strong>fr</strong>egions are: 1) Coastal regions with high population<strong>and</strong> high dependency on summer tourism, 2)mounta<strong>in</strong> regions with high dependence on w<strong>in</strong>ter<strong>and</strong> summer tourism, <strong>and</strong> 3) agglomerations withhigh population density, where the problem ofurban heat might become most relevant.220 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Vulnerability to climate <strong>change</strong>Map 5.5Potential aggregate impact, adaptive capacity <strong>and</strong> <strong>vulnerability</strong>Note:Overall <strong>impacts</strong> derived <strong>fr</strong>om 26 impact <strong>in</strong>dicators, overall adaptive capacity <strong>fr</strong>om 15 <strong>in</strong>dividual <strong>in</strong>dicators, <strong>and</strong> overall<strong>vulnerability</strong> <strong>fr</strong>om a comb<strong>in</strong>ation of overall <strong>impacts</strong> <strong>and</strong> adaptive capacity.Source: ESPON <strong>Climate</strong>, 2011.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012221


Vulnerability to climate <strong>change</strong>5.3.3 Policy implicationsThe ESPON <strong>Climate</strong> project constitutes the mostcomprehensive pan-<strong>Europe</strong>an climate <strong>change</strong><strong>vulnerability</strong> assessment to date. The projectprovides not only regionally specific results butalso aggregated, cross-sectoral f<strong>in</strong>d<strong>in</strong>gs that lendthemselves to high-level <strong>Europe</strong>an policymak<strong>in</strong>g.For example, ESPON <strong>Climate</strong> demonstrated that<strong>Europe</strong>'s climate <strong>change</strong> <strong>vulnerability</strong> runs counterto territorial cohesion. The assessment <strong>in</strong>dicated thatclimate <strong>change</strong> will probably deepen the exist<strong>in</strong>gsocio‐economic imbalances between the core of<strong>Europe</strong> <strong>and</strong> its southern <strong>and</strong> south-eastern partsbecause many economically lagg<strong>in</strong>g regions arealso the most vulnerable to climate <strong>change</strong>. Mostlikely these imbalances will even <strong>in</strong>crease <strong>in</strong> thefuture: the current economic <strong>and</strong> f<strong>in</strong>ancial crises <strong>in</strong>Greece, Spa<strong>in</strong>, Italy <strong>and</strong> Portugal are reduc<strong>in</strong>g both<strong>in</strong>dividual <strong>and</strong> collective adaptive capacities. And<strong>in</strong> eastern <strong>Europe</strong> severe demographic <strong>change</strong>s likemassive out-migration <strong>and</strong> age<strong>in</strong>g are projected tocont<strong>in</strong>ue, which would further <strong>in</strong>crease regionalclimate <strong>change</strong> sensitivity <strong>and</strong> decrease adaptivecapacity levels (e.g. an older regional populationis more sensitive to heat <strong>and</strong> less able to adapt toclimate <strong>change</strong>).ESPON <strong>Climate</strong>'s methodologies <strong>and</strong> resultscould possibly become part of an evolv<strong>in</strong>g policysupport tool that would enable policymakers at<strong>Europe</strong>an, national <strong>and</strong> regional levels to 1) identifyregional 'hot spots' with projected high <strong>impacts</strong> <strong>and</strong>weak capacity <strong>and</strong> devise appropriate adaptationmechanisms, 2) develop a more strategic <strong>and</strong> climate<strong>change</strong>-responsive approach to territorial cohesion,3) identify especially vulnerable (sub)sectors <strong>and</strong>ma<strong>in</strong>stream climate <strong>change</strong> adaptation <strong>in</strong>to therespective sectoral policies, 4) develop territoriallydifferentiated adaptation strategies that take <strong>in</strong>toaccount the regional variations <strong>in</strong> regard to climate<strong>change</strong> exposure, sensitivity, impact <strong>and</strong> adaptivecapacity, <strong>and</strong> 5) coord<strong>in</strong>ate <strong>and</strong> <strong>in</strong>tegrate sectoralpolicies with a view to prevent<strong>in</strong>g potential negativeclimate <strong>change</strong> <strong>impacts</strong> <strong>and</strong> capitalis<strong>in</strong>g on positivedevelopment opportunities.5.4 Vulnerability of cities <strong>and</strong> urbanareas5.4.1 IntroductionCities are the places where most people <strong>in</strong><strong>Europe</strong> will experience climate <strong>change</strong> <strong>impacts</strong>first; they accommodate around three quartersof the population, a share which is expected to<strong>in</strong>crease further (EEA, 2006a, 2010b; PLUREL,2011; UN, 2012). Urban areas are dist<strong>in</strong>ct <strong>fr</strong>omthe surround<strong>in</strong>g rural regions. Their specificcomposition of people <strong>and</strong> activities as well as theirurban design alters climate <strong>change</strong> <strong>impacts</strong>, forexample exacerbates heat waves due to the UHIeffect, generat<strong>in</strong>g urban floods due to a high shareof impervious surfaces <strong>and</strong> water scarcity due tothe concentration of people <strong>and</strong> socio‐economicactivities (EEA, 2012). Cities are key for <strong>Europe</strong>'seconomy; <strong>in</strong>novation <strong>and</strong> major economic assetsconcentrate here (EC, 2009). The high <strong>and</strong> overallgrow<strong>in</strong>g size of the urban population, economicassets of cities, <strong>and</strong> the complexity of city systems toprovide <strong>and</strong> manage energy, water, waste, food <strong>and</strong>other services make these cities highly vulnerable toboth current climate variability <strong>and</strong> climate <strong>change</strong>.With regards to data quality <strong>and</strong> data needs, theproportion of green <strong>and</strong> blue urban areas, populationdensity, soil seal<strong>in</strong>g <strong>and</strong> the share of elderlypopulation were selected for assess<strong>in</strong>g vulnerabilitiesof cities to heat waves, flood<strong>in</strong>g <strong>and</strong> water scarcity.They should be considered as a first approximation.Many more factors determ<strong>in</strong>e <strong>vulnerability</strong> likemorphology, sewage <strong>in</strong><strong>fr</strong>astructure, other sensitivegroups or adaptive action taken, like green roofs <strong>and</strong>walls or respective build<strong>in</strong>g design.Key messages: 5.4 Vulnerability of cities <strong>and</strong> urban areas• Over the past, <strong>in</strong>creas<strong>in</strong>g urban l<strong>and</strong> take <strong>and</strong> urbanisation have <strong>in</strong> many places <strong>in</strong>creased the<strong>vulnerability</strong> of <strong>Europe</strong>an cities to different climate <strong>impacts</strong> like heat waves, flood<strong>in</strong>g or water scarcity.The <strong>impacts</strong> of extreme events like flood<strong>in</strong>g at the river Elbe (2002) or <strong>in</strong> Copenhagen (2011)demonstrate this <strong>in</strong>creased <strong>vulnerability</strong>.• In the future, ongo<strong>in</strong>g urban l<strong>and</strong> take, growth <strong>and</strong> concentration of population <strong>in</strong> cities, <strong>and</strong> an age<strong>in</strong>gpopulation contribute to further <strong>in</strong>creas<strong>in</strong>g the <strong>vulnerability</strong> of cities to climate <strong>change</strong>. It is, however,currently uncerta<strong>in</strong> to which extent an <strong>in</strong>telligent urban design <strong>and</strong> urban management of <strong>in</strong>dividualcities can buffer these negative effects.222 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Vulnerability to climate <strong>change</strong>The availability of comparable urban data at citylevel is limited. Ma<strong>in</strong> sources are the Urban Auditdatabase (Eurostat), the Urban Atlas <strong>and</strong> the soilseal<strong>in</strong>g layer (EEA). Data describe the current state.Past trends or future projections comparable across<strong>Europe</strong> are not available. We reflect therefore onoverall <strong>Europe</strong>an trends (e.g. population dynamics)or highlight potential risks <strong>in</strong> the form of 'what if thecurrent development cont<strong>in</strong>ues…?'A more extended assessment of urban vulnerabilitiescan be found <strong>in</strong> (EEA, 2012).5.4.2 Past trendsarea <strong>in</strong> 2002 was only slightly bigger than <strong>in</strong> 1890<strong>and</strong> smaller than <strong>in</strong> 1845, the flooded builtup areahad <strong>in</strong>creased dramatically.High soil seal<strong>in</strong>g of urban areas restricts directdra<strong>in</strong>age of water <strong>in</strong>to the ground. This is also ama<strong>in</strong> factor for the development of a particularurban phenomenon — urban dra<strong>in</strong>age floods. Thelow dra<strong>in</strong>age <strong>in</strong>to the soil leads to a high run-off ofwater <strong>in</strong>to the sewage system <strong>and</strong> can deplete itscapacity. Excess water travels down roads <strong>and</strong> otherpaths of least resistance <strong>and</strong> floods low-ly<strong>in</strong>g areasas described for the urban flood 2011 <strong>in</strong> Copenhagen(Box 5.1).The past climatic trends described <strong>in</strong> Chapter 2 arerelevant for cities as well as the overall trends ofclimate <strong>impacts</strong> on systems <strong>and</strong> sectors (Chapters 3<strong>and</strong> 4), but the latter could have been altered <strong>in</strong> citiesdue to cities' composition, management <strong>and</strong> urb<strong>and</strong>esign.Figure 5.1Flooded area <strong>in</strong> Dresden(Germany) dur<strong>in</strong>g different floodeventsFlooded area <strong>in</strong> haFlood riskOngo<strong>in</strong>g urban l<strong>and</strong> take has <strong>in</strong>creased the areaof impervious surfaces <strong>and</strong> build<strong>in</strong>gs <strong>in</strong> <strong>Europe</strong>(EEA, 2010c). It has limited the areas for naturaldra<strong>in</strong>age, water retention, production of <strong>fr</strong>esh air<strong>and</strong> fixation of CO 2<strong>in</strong> <strong>and</strong> around cities <strong>and</strong> thusoften <strong>in</strong>creased the effects of heat waves, floodsor water scarcity. This has already <strong>in</strong> the past ledto higher vulnerabilities to climate <strong>impacts</strong>. Anexample is provided <strong>in</strong> Figure 5.1, which comparesthree major flood events of the river Elbe <strong>in</strong> Dresden<strong>in</strong> 1845, 1890 <strong>and</strong> 2002. Although the total flooded3 5003 0002 5002 0001 5001 000500031.03.1845 06.09.1890 17.08.2002Total area flooded Settlement area floodedSource: Schumacher, 2005.Box 5.1 The cloudburst <strong>in</strong> Copenhagen on 2 July 2011After a substantially hot period Copenhagen was hit by a huge thunderstorm on 2 July 2011. Dur<strong>in</strong>g the afternoonclouds <strong>and</strong> thunder had been build<strong>in</strong>g up over the southern part of Sweden. Dur<strong>in</strong>g a 2-hour period over 150 mmof ra<strong>in</strong> fell <strong>in</strong> the city centre. This constituted the biggest s<strong>in</strong>gle ra<strong>in</strong>fall <strong>in</strong> Copenhagen s<strong>in</strong>ce measurements began<strong>in</strong> the mid-1800s.The city's sewers were unable to h<strong>and</strong>le all of the water <strong>and</strong> as a result many streets were flooded <strong>and</strong> sewersoverflowed <strong>in</strong>to houses, basements <strong>and</strong> onto streets thereby flood<strong>in</strong>g the city. The consequences were quitedrastic as emergency services had to close roads <strong>and</strong> attend to people trapped <strong>in</strong> their cars. The emergencyservices were with<strong>in</strong> m<strong>in</strong>utes of hav<strong>in</strong>g to evacuate the city's two biggest hospitals because of flood<strong>in</strong>g <strong>and</strong> powercuts. Insurance damages alone were estimated at EUR 650–700 million. Damage to municipal <strong>in</strong><strong>fr</strong>astructure notcovered by <strong>in</strong>surance, such as roads, amounted to EUR 65 million.Source: Lykke Leonardsen, city of Copenhagen, 2011 (personal communication); EEA, 2012.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012223


Vulnerability to climate <strong>change</strong>Box 5.2Water scarcity <strong>in</strong> AnkaraFrom 2006 until 2008, Ankara suffered <strong>fr</strong>om severe droughts. In August 2007 the water supply had to be cut offbecause the capacity of 8 major water reservoirs dropped to 5 % of normal levels. The situation was aggravatedby the burst<strong>in</strong>g of two ma<strong>in</strong> pipel<strong>in</strong>es. From April 2007 to March 2008 an emergency plan came <strong>in</strong>to action <strong>and</strong> themunicipality constructed a system of pipel<strong>in</strong>es <strong>fr</strong>om the Kizilirmak dam.Drought is not unusual <strong>in</strong> Turkey caused by the large variation <strong>in</strong> ra<strong>in</strong>fall over the years. Dur<strong>in</strong>g the previous80 years the situation <strong>in</strong> Ankara regard<strong>in</strong>g water dem<strong>and</strong> has <strong>change</strong>d dramatically. The population <strong>in</strong>creased<strong>fr</strong>om 75 000 <strong>in</strong> 1927 to 3.2 million <strong>in</strong> 2000 <strong>and</strong> is expected to grow further to 7.7 million <strong>in</strong> 2025. This will put anenormous stra<strong>in</strong> on the city's water supply that is already <strong>in</strong>sufficient to meet current dem<strong>and</strong>s. Moreover, due toan <strong>in</strong>crease <strong>in</strong> prosperity, water consumption per person has <strong>in</strong>creased <strong>and</strong> is expected to <strong>in</strong>crease further <strong>fr</strong>om169 litres per day <strong>in</strong> 1995 to 203 litres <strong>in</strong> 2025.While Ankara's population is expected to <strong>in</strong>crease further, precipitation <strong>and</strong> river flows are expected to decreasedue to climate <strong>change</strong>. Hence, the <strong>fr</strong>equency <strong>and</strong> <strong>in</strong>tensity of drought periods will likely <strong>in</strong>crease <strong>in</strong> the com<strong>in</strong>gdecades.Source: GWI, 2007; Ceylan, 2009; Tigrek <strong>and</strong> Kibaroglu, 2011; EEA, 2012.Figure 5.2Thous<strong>and</strong>s700 000600 000500 000400 000300 000<strong>Europe</strong>an urban populationtrends%908070605040Water scarcityThe <strong>in</strong>crease <strong>in</strong> the share <strong>and</strong> number of urbanpopulation <strong>in</strong> <strong>Europe</strong> (Figure 5.2) led to bigger cities<strong>and</strong> higher population concentrations <strong>in</strong> urbanareas. Their water dem<strong>and</strong> goes beyond the supplyof the cities' areas; they rely on the surround<strong>in</strong>gregion. From a local perspective, many cities are <strong>in</strong>a water scarcity situation already <strong>and</strong> <strong>in</strong> some areaswater scarcity has <strong>in</strong>creased — see the example ofAnkara (Box 5.2).200 000100 000019501960Source: UN, 2012.197019801990200020102020Urban population (thous<strong>and</strong>s)2030Proportion of urban population (%)204020503020100Vulnerable populationsThe <strong>vulnerability</strong> to climate <strong>change</strong> depends notonly on the climate exposures but also on thepresence of sensitive groups. Low <strong>in</strong>come groupsmight not have the resources to move to betteradapted apartments or sites or to take action. Thedisabled <strong>and</strong> sick, young children <strong>and</strong> the elderlyare particularly vulnerable to various environmentalhealth hazards. Ethnic m<strong>in</strong>orities <strong>and</strong> less educatedpeople might not be able to access or absorb relevantadaptation knowledge. The elderly (> 65 years) areconsidered to be a group more sensitive to variousclimatic stress factors such as heat waves but alsoflood<strong>in</strong>g <strong>and</strong> water scarcity. This group constitutescurrently about 17.1 % of the total population of<strong>Europe</strong> (Eurostat, 2008). Map 5.6 shows that theproportion of elderly people <strong>in</strong> cities is higher<strong>in</strong> countries <strong>in</strong> the area stretch<strong>in</strong>g <strong>fr</strong>om Italy toGermany <strong>and</strong> <strong>in</strong> northern Spa<strong>in</strong>. In Belgium <strong>and</strong>Germany this proportion usually follows thecountry average. Cities <strong>in</strong> northern Italy, meanwhile,tend to have values above the country average. For224 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Vulnerability to climate <strong>change</strong>Map 5.6Elderly population <strong>in</strong> cities-30°-20°-10°0°10°20°30°40°50°60°70°Vulnerable people —the elderly are consideredto be a group moresensitive to variousclimatic stress factorsthan people of awork<strong>in</strong>g age60°Proportion of aged population≥ 65 <strong>in</strong> cities/countries, 200450°< 1414–1515–1717–20> 2050°No dataOutside datacoverage40°40°Total population <strong>in</strong> cities,2004< 100 000100 000–250 000250 000–500 000500 000–1 000 000> 1 000 0000 500 1000 1500 km0°10°20°30°40°Note: Data for Bulgaria, the Czech Republic, Irel<strong>and</strong>, France, Cyprus, Latvia <strong>and</strong> F<strong>in</strong>l<strong>and</strong> are <strong>fr</strong>om 2001.Source: Eurostat, 2004; EEA, 2012.other countries such as Bulgaria, southern Spa<strong>in</strong>,France, Romania <strong>and</strong> the United K<strong>in</strong>gdom, the shareof elderly people <strong>in</strong> most cities is lower than <strong>in</strong> ruralareas.ProjectionsHeat waves <strong>and</strong> the urban heat isl<strong>and</strong> potentialThe health <strong>impacts</strong> of extreme heat are discussed<strong>in</strong> Section 4.4. The scenarios for the <strong>in</strong>crease <strong>in</strong>heat wave days (described <strong>in</strong> Section 2.2.3) donot, however, take <strong>in</strong>to account the UHI effect<strong>and</strong> underestimate the temperature <strong>in</strong> cities. InMap 5.7, population density <strong>and</strong> the share of green<strong>and</strong> blue areas <strong>in</strong> major <strong>Europe</strong>an cities provide an<strong>in</strong>dication for the UHI: the lack of green <strong>and</strong> blueareas contributes to higher temperatures as wellas population density, which is associated withbuild<strong>in</strong>g density, low share of green/blue areas <strong>and</strong>anthropogenic heat (EEA, 2012).Map 5.7 shows these values on a background mapdescrib<strong>in</strong>g the modelled number of heat wave days<strong>in</strong> the period 2071–2100. The map <strong>in</strong>dicates a largenumber of cities with large UHI potential <strong>in</strong> thenorth-west due to low shares of green <strong>and</strong> blueurban areas <strong>and</strong> <strong>in</strong> particular south-eastern <strong>Europe</strong>where, <strong>in</strong> addition, population densities are higher.In the western part of the Mediterranean area, theUHI potential seems to be quite variable, with a mixof cities with both strong <strong>and</strong> weak UHI potential.Compar<strong>in</strong>g expected heat exposure <strong>change</strong>s withthe UHI potential reveals that a large share of cities<strong>in</strong> eastern <strong>and</strong> southern <strong>Europe</strong> will experiencerelatively strong <strong>in</strong>creases <strong>in</strong> heat load <strong>in</strong> the future.If the heat wave <strong>in</strong>tensity also exp<strong>and</strong>s more to thenorth-west as shown <strong>in</strong> other projections, cities <strong>in</strong>the Benelux countries <strong>and</strong> the United K<strong>in</strong>gdomwould also be more affected (EEA, 2012).The share of green <strong>and</strong> blue urban areas <strong>and</strong> thepopulation density <strong>in</strong> Map 5.7 describe the currentsituation. The ongo<strong>in</strong>g urbanisation <strong>in</strong> many parts<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012225


Vulnerability to climate <strong>change</strong>Map 5.7Factors determ<strong>in</strong><strong>in</strong>g <strong>vulnerability</strong> to heat waves-30°-20°-10°0°10°20°30°40°50°60°60°Heat waves — both a lowshare of green <strong>and</strong> blueurban areas <strong>and</strong> highpopulation densitiescontribute potentially tothe urban heat isl<strong>and</strong><strong>in</strong> cities60°Green/blue areas per city(UMZ), 2006 (%)≥ 4030–3920–29< 20Population density per city(UMZ), 2004 (<strong>in</strong>h./km 2 )50°50°< 3 0003 000–4 0004 000–5 0005 000–10 000> 10 000Number of comb<strong>in</strong>ed tropicalnights (> 20 °C) <strong>and</strong> hot days(> 35 °C), 2071–210040°40°2 10 18 26 34 38 42 500 500 1000 1500 km0°10°20°30°Note:The background map presents the projection for the period 2071–2100. Values for the earlier periods are presented <strong>in</strong>(EEA, 2012). City data for Bulgaria <strong>and</strong> Irel<strong>and</strong> are <strong>fr</strong>om 2001; the concept of city is def<strong>in</strong>ed uniquely by the urban l<strong>and</strong>-useareas with<strong>in</strong> its adm<strong>in</strong>istrative boundary.Source: Eurostat, 2004; EEA, 2006b, 2012; Fischer <strong>and</strong> Schär, 2010.of <strong>Europe</strong> <strong>in</strong> the form of urban l<strong>and</strong> take <strong>and</strong>densification (EEA, 2006a, 2010c; UN, 2012) mightaggravate the UHI. On the other h<strong>and</strong>, an <strong>in</strong>creaseof green <strong>in</strong><strong>fr</strong>astructure <strong>in</strong>clud<strong>in</strong>g parks, trees,green walls <strong>and</strong> roofs, as well as low-density urb<strong>and</strong>evelopments <strong>and</strong> shr<strong>in</strong>k<strong>in</strong>g cities <strong>in</strong> some regionscan decrease the effect. These trends are howeveruncerta<strong>in</strong>.Flood<strong>in</strong>gThe high share of build-up areas <strong>and</strong> thus lownatural dra<strong>in</strong>age capacities <strong>in</strong>crease the <strong>impacts</strong> ofall types of flood<strong>in</strong>g on cities. Urban dra<strong>in</strong>age floodsare, however, an additional phenomenon generated<strong>in</strong> cities dur<strong>in</strong>g extreme precipitation events.Section 2.2.5 describes the projected <strong>in</strong>crease <strong>in</strong>extreme precipitation. Map 5.8 <strong>in</strong>dicates that citiesof high <strong>and</strong> low soil seal<strong>in</strong>g degree can be found <strong>in</strong>all regions <strong>and</strong> do not cluster <strong>in</strong> a particular region,with the exception of rather low seal<strong>in</strong>g degrees<strong>in</strong> Norwegian <strong>and</strong> Swedish cities. It shows thatcities with a high soil seal<strong>in</strong>g <strong>and</strong> an <strong>in</strong>creas<strong>in</strong>gnumber of <strong>in</strong>tensive ra<strong>in</strong>fall events particularlyconcentrate <strong>in</strong> north-western <strong>and</strong> northern <strong>Europe</strong>.They face a higher risk of urban dra<strong>in</strong>age flood<strong>in</strong>g.Nevertheless, cities <strong>in</strong> areas with a decreas<strong>in</strong>gnumber of such events but high soil seal<strong>in</strong>g also stillface a flood<strong>in</strong>g risk, just less often (EEA, 2012).226 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Vulnerability to climate <strong>change</strong>Map 5.8Factors determ<strong>in</strong><strong>in</strong>g <strong>vulnerability</strong> to urban flood<strong>in</strong>gNote:Average percent soil seal<strong>in</strong>g per city <strong>and</strong> <strong>change</strong> <strong>in</strong> annual mean number of days with extreme precipitation (> 20 mm/day)between the CCLM scenarios run (2071–2100) <strong>and</strong> the reference run (1961–1990) for IPCC scenario A1B. The city is def<strong>in</strong>edby its morphological form (Urban Morphological Zone) <strong>in</strong>side the core city boundaries derived <strong>fr</strong>om Urban Audi (Eurostat).Source: Soil seal<strong>in</strong>g: EEA, 2009; Precipitation: Lautenschlager et al., 2008; EEA, 2012.Water scarcity<strong>Climate</strong> <strong>change</strong> is expected to <strong>in</strong>crease droughts <strong>and</strong>water scarcity <strong>in</strong> <strong>Europe</strong> (Section 3.3.4). A major partof the <strong>in</strong>crease of water stress is expected <strong>in</strong> areas ofalready high urbanisation <strong>and</strong> population density,western <strong>Europe</strong> <strong>and</strong> the coasts. These are the areaswhere even more population growth is expected,mostly <strong>in</strong> <strong>and</strong> around cities. Cities will mostprobably adapt to water scarcity gett<strong>in</strong>g water <strong>fr</strong>omregions further abroad by wide water networks fortransport<strong>in</strong>g water. However, this will <strong>in</strong>crease theirdependency on far away resources <strong>and</strong> <strong>in</strong> most cases<strong>in</strong>crease the price for water <strong>and</strong> heat the competitionfor water with other users like agriculture, energygeneration <strong>and</strong> tourism (EEA, 2012).Social sensitivityThe ongo<strong>in</strong>g urbanisation (Figure 5.2) will <strong>in</strong>creasethe number of people affected by specific urbanclimate <strong>change</strong> <strong>impacts</strong>. Also, the share of sensitivepopulation groups will <strong>change</strong>. The share of elderly<strong>in</strong> <strong>Europe</strong> is expected to rise <strong>fr</strong>om about 17.1 % to30 % by the year 2060. The share of people aged80 years or older (4.4 % <strong>in</strong> 2008) will nearly tripleby 2060 (Eurostat, 2008). This demographic trendwill naturally br<strong>in</strong>g <strong>in</strong>creased heat-related mortalityrates even without climate <strong>change</strong> if no adaptationmeasures are taken. However, demographicdevelopment <strong>in</strong> cities does not necessarily followoverall <strong>Europe</strong>an or regional trends. There are atpresent no <strong>Europe</strong>an-wide demographic projectionsavailable at the city level.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012227


Vulnerability to climate <strong>change</strong>5.5 Damage costsThe first part of this section presents observedtrends <strong>in</strong> weather <strong>and</strong> climate-related events <strong>and</strong>the economic losses associated with them. Whilethese events have been <strong>in</strong>fluenced by global climate<strong>change</strong>, it is not generally possible to attributespecific events or observed trends to global climate<strong>change</strong>. The second part presents results of the<strong>Climate</strong>Cost project, which estimates economic costsof climate <strong>change</strong> <strong>in</strong> <strong>Europe</strong> for different emissionsscenarios.5.5.1 Damages <strong>fr</strong>om weather <strong>and</strong> climate-relatedeventsRelevanceEconomic losses <strong>fr</strong>om weather- <strong>and</strong> climate-relateddisasters have <strong>in</strong>creased, but with large spatial<strong>and</strong> <strong>in</strong>terannual variability. Global weather- <strong>and</strong>climate-related disaster losses reported over thelast few decades reflect ma<strong>in</strong>ly monetised directdamages to assets, <strong>and</strong> are unequally distributed.Loss estimates are lower-bound estimates becausemany <strong>impacts</strong>, such as loss of human lives, culturalheritage <strong>and</strong> ecosystems services, are difficultto value <strong>and</strong> monetise, <strong>and</strong> thus they are poorlyreflected <strong>in</strong> estimates of losses. Economic, <strong>in</strong>clud<strong>in</strong>g<strong>in</strong>sured, disaster losses associated with weather,climate <strong>and</strong> geophysical events are higher <strong>in</strong>developed countries. Fatality rates <strong>and</strong> economiclosses expressed as a proportion of GDP are higher<strong>in</strong> develop<strong>in</strong>g countries (IPCC, 2012).<strong>Europe</strong> is experienc<strong>in</strong>g an <strong>in</strong>creas<strong>in</strong>g number ofhydro-meteorological, geophysical <strong>and</strong> technologicaldisasters that are caused by a comb<strong>in</strong>ation of<strong>change</strong>s <strong>in</strong> its physical, technological <strong>and</strong> human/social systems. The potential for a hazard to causea disaster ma<strong>in</strong>ly depends on how vulnerable anexposed community is to such hazards. Actions<strong>and</strong> measures, if well implemented, can reduce thehuman health <strong>and</strong> economic impact of a hazardousevent. In recent years, policies for disaster riskreduction <strong>and</strong> management have shifted to acomprehensive, <strong>in</strong>tegrated risk approach. The fulldisaster cycle — prevention, preparedness, response<strong>and</strong> recovery — should be taken <strong>in</strong>to consideration(EEA, 2011). Adaptation to climate <strong>change</strong> <strong>and</strong>disaster risk management provide a range ofcomplementary approaches for manag<strong>in</strong>g the risksof climate extremes <strong>and</strong> disasters (IPCC, 2012).Uncerta<strong>in</strong>ties <strong>and</strong> data gapsInformation for <strong>Europe</strong> can be extracted <strong>fr</strong>om twoglobal disaster databases, namely the EM‐DATdatabase ma<strong>in</strong>ta<strong>in</strong>ed by CRED ( 77 ) (see alsoSection 4.4) that places a particular focus on humanfatalities <strong>and</strong> displaced <strong>and</strong> affected people, <strong>and</strong> theNatCatSERVICE database (NatCatSERVICE, 2012)ma<strong>in</strong>ta<strong>in</strong>ed by Munich RE that provides data on<strong>in</strong>sured <strong>and</strong> overall losses. The 'disaster thresholds'for an event to be <strong>in</strong>cluded <strong>in</strong> these global databasesare as follows:• EM-DAT: 10 or more people killed <strong>and</strong>/or 100 ormore people affected <strong>and</strong>/or declaration of astate of emergency <strong>and</strong>/or call for <strong>in</strong>ternationalassistance;Key messages: 5.5.1 Damages <strong>fr</strong>om weather <strong>and</strong> climate-related events• Hydro-meteorological events (storms, floods, <strong>and</strong> l<strong>and</strong>slides) account for 64 % of the reported damagesdue to natural disasters <strong>in</strong> <strong>Europe</strong> s<strong>in</strong>ce 1980; climatological events (extreme temperatures; droughts<strong>and</strong> forest fires) account for another 20 %.• Overall damages <strong>fr</strong>om extreme weather events have <strong>in</strong>creased <strong>fr</strong>om EUR 9 billion <strong>in</strong> the 1980s to morethan EUR 13 billion <strong>in</strong> the 2000s (<strong>in</strong>flation-corrected).• The observed damage <strong>in</strong>crease is primarily due to <strong>in</strong>creases <strong>in</strong> population, economic wealth <strong>and</strong> humanactivities <strong>in</strong> hazard-prone areas <strong>and</strong> to better report<strong>in</strong>g.• It is currently difficult to determ<strong>in</strong>e accurately the proportion of damage costs that are attributableto climate <strong>change</strong>. The contribution of climate <strong>change</strong> to the damage costs <strong>fr</strong>om natural disasters isexpected to <strong>in</strong>crease due to the projected <strong>change</strong>s <strong>in</strong> the <strong>in</strong>tensity <strong>and</strong> <strong>fr</strong>equency of extreme weatherevents.( 77 ) See http://www.emdat.be.228 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Vulnerability to climate <strong>change</strong>• NatCatSERVICE: Small-scale property damage<strong>and</strong>/or one fatality. Additionally, Munich REuses different classes to classify the events.Over recent years these global databases havebeen harmonised, although some differencesrema<strong>in</strong>. Dur<strong>in</strong>g the past decades both databaseshave improved their report<strong>in</strong>g which means thatcaution is needed <strong>in</strong> formulat<strong>in</strong>g conclusions abouttrends. In addition, both databases are less suitablefor analys<strong>in</strong>g the <strong>impacts</strong> of smaller events or foranalyses at the sub-national level. However, despitethese considerations both databases serve as a goodstart<strong>in</strong>g po<strong>in</strong>t for gett<strong>in</strong>g an overview of the impact<strong>and</strong> damage costs of disasters <strong>in</strong> <strong>Europe</strong>.Past trendsAccord<strong>in</strong>g to the (NatCatSERVICE, 2012) of MunichRE, the number of reported natural disasters <strong>in</strong>EEA member countries shows an upward trends<strong>in</strong>ce 1980 (see Figure 5.3). Whereas the number<strong>and</strong> <strong>impacts</strong> of weather <strong>and</strong> climate-related events<strong>in</strong>creased considerably between 1980 <strong>and</strong> 2011, thenumber of geophysical hazards rema<strong>in</strong>ed morestable. Hydro-meteorological events (storms, floods,<strong>and</strong> l<strong>and</strong>slides) account for about 75 % of naturaldisasters that have occurred <strong>in</strong> <strong>Europe</strong> s<strong>in</strong>ce 1980<strong>and</strong> around 64 % of the reported damage costs;climatological events (extreme temperatures;droughts <strong>and</strong> forest fires) account for another16 % of the disasters <strong>and</strong> 20 % of the damage costs(NatCatSERVICE, 2012).Figure 5.3 Natural disasters <strong>in</strong> EEA member countries (1980–2011)Number of events300250200150100501980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010Geophysical events (earthquake, tsunami, volcanic eruption)Hydrological events (flood, mass movement)Climatological events (heat wave)Meteorological events (storm)Climatological events (cold wave, drought, forest fire)L<strong>in</strong>ear trend (all events)4 810 loss events *1 % 9 %15 %67 %109 213 fatalities23 %Overall losses EUR 455 bn(454 874.94)14 %6 %16 %Insured losses ** EUR 126 bn(126 315.61)1 %6 % 1 %28 %4 %31 %44 %4 %2 %31 %33 %64 %Geophysical events (earthquake, tsunami, volcanic eruption)Hydrological events (flood, mass movement)Climatological events (heat wave)Meteorological events (storm)Climatological events (cold wave, drought, forest fire)<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012229


Vulnerability to climate <strong>change</strong>Figure 5.3Natural disasters <strong>in</strong> EEA member countries (1980–2011) (cont.)Billion EUR4035302520151051980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010Overall losses (values as at 2011) Insured losses (values as at 2011)Trend — overall lossesTrend — <strong>in</strong>sured lossesNote:Events can occur <strong>in</strong> several countries; events are counted country-wise.Source: NatCatSERVICE, 2012.Between 1980 <strong>and</strong> 2011, the economic toll of naturaldisasters <strong>in</strong> the whole of <strong>Europe</strong> approachedEUR 445 billion <strong>in</strong> 2011 values ( 78 ). About half of alllosses can be attributed to a few large events suchas storms like Lothar <strong>in</strong> 1999, Kyrill <strong>in</strong> 2007 <strong>and</strong>Xynthia <strong>in</strong> 2010, <strong>and</strong> the floods of central <strong>Europe</strong> <strong>in</strong>2002 <strong>and</strong> <strong>in</strong> the United K<strong>in</strong>gdom <strong>in</strong> 2007. Damagecosts <strong>fr</strong>om extreme weather events <strong>in</strong> EEA membercountries have <strong>in</strong>creased <strong>fr</strong>om EUR 9 billion <strong>in</strong>the 1980s to more than EUR 13 billion <strong>in</strong> the 2000s(values adjusted to 2011 <strong>in</strong>flation). Similar trendswere presented <strong>in</strong> a recent report for Organisationfor Economic Co-operation <strong>and</strong> Development(OECD) countries (Visser et al., 2012).One important question is to what extent theobserved <strong>in</strong>crease <strong>in</strong> overall losses dur<strong>in</strong>g recentdecades is attributable to chang<strong>in</strong>g climaticconditions rather than other factors. Accord<strong>in</strong>gto (IPCC, 2012), <strong>in</strong>creas<strong>in</strong>g exposure of people<strong>and</strong> economic assets has been the major causeof long‐term <strong>in</strong>creases <strong>in</strong> economic losses <strong>fr</strong>omweather- <strong>and</strong> climate-related disasters. Long-termtrends <strong>in</strong> economic disaster losses adjusted forwealth <strong>and</strong> population <strong>in</strong>creases have not beenattributed to climate <strong>change</strong>, but a role for climate<strong>change</strong> has not been excluded.Available studies for <strong>Europe</strong>, such as (Barredo,2009; 2010), on river floods <strong>and</strong> storms, suggest that<strong>in</strong>creased losses are primarily due to socio‐economic<strong>change</strong>s <strong>and</strong> <strong>in</strong>creas<strong>in</strong>g exposed elements due to<strong>change</strong>s <strong>in</strong> population <strong>and</strong> economic wealth, <strong>and</strong>activities <strong>in</strong> hazard-prone areas. Upward trends<strong>in</strong> losses can also be expla<strong>in</strong>ed to a certa<strong>in</strong> extentby better report<strong>in</strong>g. The study mentioned above(Visser et al., 2012) presents similar conclusions. Bynormalisation of disaster trends, mean<strong>in</strong>g correct<strong>in</strong>g( 78 ) This corresponds to events that have been entered <strong>in</strong>to the Munich RE database for the whole of <strong>Europe</strong>, i.e. events that ledto property losses <strong>and</strong>/or fatalities. The follow<strong>in</strong>g Munich RE def<strong>in</strong>itions apply to natural disasters: 1) a small-scale loss eventis def<strong>in</strong>ed as a 1–9 fatalities event with a small-scale property damage; 2) a moderate loss event is def<strong>in</strong>ed as 10+ fatalitiesevent with a moderate property <strong>and</strong> structural damage; 3) a severe catastrophe is def<strong>in</strong>ed as a 20+ fatalities event withoverall losses <strong>in</strong> excess of USD 50 million; 4) a major catastrophe is def<strong>in</strong>ed as a 100+ fatalities event with overall losses <strong>in</strong>excess of USD 200 million; 5) a devastat<strong>in</strong>g catastrophe is def<strong>in</strong>ed as a 500+ fatalities event with overall losses <strong>in</strong> excess ofUSD 600 million; <strong>and</strong> 6) a great natural catastrophe or great disaster is def<strong>in</strong>ed at lead<strong>in</strong>g to thous<strong>and</strong>s of fatalities with theeconomy be<strong>in</strong>g severely affected <strong>and</strong> extreme <strong>in</strong>sured losses; <strong>in</strong>terregional or <strong>in</strong>ternational assistance is necessary, hundreds ofthous<strong>and</strong>s are made homeless (UN def<strong>in</strong>ition).230 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Vulnerability to climate <strong>change</strong>for <strong>change</strong>s <strong>in</strong> wealth <strong>and</strong>/or population, trendpatterns for economic losses <strong>and</strong> people affectedappear stable for OECD countries.ProjectionsAlthough it is currently difficult to determ<strong>in</strong>eaccurately the proportion of losses that areattributable to climate <strong>change</strong> (EEA, 2008; 2010c),<strong>in</strong> view of current <strong>and</strong> projected climate <strong>change</strong><strong>impacts</strong> <strong>and</strong> risks its contribution to losses isexpected to <strong>in</strong>crease.Several studies have analysed the costs of projectedclimate <strong>change</strong> <strong>impacts</strong> <strong>in</strong> <strong>Europe</strong> for varioussectors. However, these studies do not providespecific estimates for projected damage costs forweather <strong>and</strong> climate-related disasters, s<strong>in</strong>ce reliableprojections for weather <strong>and</strong> climate-related extremeevents are not available (see also Section 2.2).The follow<strong>in</strong>g section provides an overview ofthe ma<strong>in</strong> <strong>in</strong>formation on costs of projected climate<strong>change</strong> <strong>impacts</strong> across a range of sectors <strong>in</strong> <strong>Europe</strong>.5.5.2 Projected costs of climate <strong>change</strong>IntroductionThe effects of climate <strong>change</strong>, as outl<strong>in</strong>ed <strong>in</strong> theprevious chapters <strong>and</strong> sections, will lead to widerang<strong>in</strong>g <strong>impacts</strong> on the natural <strong>and</strong> man-madeenvironment. They will also lead to economic costs,often known as the 'costs of <strong>in</strong>action', which are<strong>in</strong>creas<strong>in</strong>gly used to <strong>in</strong>form the policy debate onclimate <strong>change</strong> <strong>in</strong> <strong>Europe</strong>. A number of differentmethods <strong>and</strong> models are be<strong>in</strong>g used to advanceestimates of the costs of <strong>in</strong>action. As an <strong>in</strong>put to theglobal debate, <strong>and</strong> for the estimation of the socialcost of carbon (the marg<strong>in</strong>al economic costs of atonne of GHG emitted), the primary approach hasbeen to use global economic <strong>in</strong>tegrated assessmentmodels. At the regional to national level, theemerg<strong>in</strong>g focus has been on scenario-based impactassessment.At the <strong>Europe</strong>an scale, a number of studies haveadvanced these assessments as part of consistentsectoral assessments, notably <strong>in</strong> the PESETA project(Ciscar et al., 2009, 2011) <strong>and</strong> the EU FP7-funded<strong>Climate</strong>Cost Project (Watkiss, 2011), though thereare many additional studies <strong>in</strong> <strong>in</strong>dividual sectors.A large number of studies <strong>and</strong> estimates are alsoemerg<strong>in</strong>g at Member State level (not reported here).In report<strong>in</strong>g <strong>and</strong> compar<strong>in</strong>g these numbers, alarge number of caveats are needed, reflect<strong>in</strong>gvariations <strong>in</strong> practice among studies. It is importantto consider whether results are reported for theimpact of climate <strong>change</strong> <strong>and</strong> socio‐economic<strong>change</strong> together, the effects of climate <strong>change</strong> aloneabove future socio‐economic <strong>change</strong>, or the effectsof future climate <strong>change</strong> on current socio‐economicconditions. There are also major issues with thereport<strong>in</strong>g <strong>and</strong> adjustment of economic values <strong>in</strong>different time periods, <strong>and</strong> whether future valuesare presented as discounted or present values. Notethat <strong>in</strong> the <strong>in</strong>formation that follows, values aregenerally reported as current prices <strong>in</strong> all futuretime periods to facilitate direct comparison, overtime, <strong>and</strong> among sectors.Key messages: 5.5.2 Projected costs of climate <strong>change</strong>• Projections suggest large <strong>in</strong>creases <strong>in</strong> costs <strong>fr</strong>om coastal <strong>and</strong> river flood<strong>in</strong>g, heat waves <strong>and</strong> energydem<strong>and</strong> (for cool<strong>in</strong>g) due to the comb<strong>in</strong>ed effects of climate <strong>change</strong> <strong>and</strong> socio‐economic developments<strong>in</strong> <strong>Europe</strong>.• There are strong geographical differences <strong>in</strong> projected costs, with pronounced damage costs <strong>in</strong> southern<strong>Europe</strong> due to <strong>in</strong>creases <strong>in</strong> energy dem<strong>and</strong> <strong>and</strong> heat waves, <strong>in</strong> western <strong>Europe</strong> due to coastal flood<strong>in</strong>g<strong>and</strong> heat waves, <strong>in</strong> northern <strong>Europe</strong> due to coastal <strong>and</strong> river floods, <strong>and</strong> <strong>in</strong> eastern <strong>Europe</strong> due to riverfloods.• Significant cost reductions can be achieved if mitigation policy would constra<strong>in</strong> climate <strong>change</strong>consistent with the EU's 2 °C objective, compared to a bus<strong>in</strong>ess-as-usual emissions scenario.• Cost estimates have a medium to good coverage at <strong>Europe</strong>an level for coastal <strong>and</strong> river flood<strong>in</strong>g, watersupply, energy dem<strong>and</strong>, agriculture <strong>and</strong> human health, but cost estimates are not available or very<strong>in</strong>complete for <strong>in</strong><strong>fr</strong>astructure, built environment, tourism, transport <strong>and</strong> forestry. Economic costs for<strong>impacts</strong> on biodiversity <strong>and</strong> ecosystems services are difficult to prepare due to the challenge of propervaluation.• Information on the total costs of the <strong>impacts</strong> of global climate <strong>change</strong> on the <strong>Europe</strong>an economy islack<strong>in</strong>g.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012231


Vulnerability to climate <strong>change</strong>Figure 5.4Projections of economic costs <strong>fr</strong>om climate <strong>change</strong> <strong>and</strong> socio‐economicdevelopments for four major categoriesProjected damage costs, A1B, billion EUR per year, undiscounted350Projected damage costs, billion EUR per year, undiscounted350300300250250200200150150100100505002020s 2050s 2080s0A1BE1Energy for cool<strong>in</strong>gRiver floodsHeat mortalityCoastal zonesNote:Left: damage costs for the A1B scenario for energy for cool<strong>in</strong>g, heat-related mortality (weighted average of Value of aStatistical Life (VSL) <strong>and</strong> Value of a Life Year Lost (VOLY)), river floods <strong>and</strong> coastal zones. Time horizon: 2010–2040,2040–2070 <strong>and</strong> 2070–2100.Right: A1B <strong>and</strong> E1 scenarios, 2070–2100.Source: Watkiss, 2011.Summary of resultsThe results of the <strong>Climate</strong>Cost project revealpotentially large costs of <strong>in</strong>action <strong>in</strong> <strong>Europe</strong>(see Figure 5.4). They also show the stronggeographical differences across regions(see Figure 5.5). Importantly, they show thesignificant reductions <strong>in</strong> costs of <strong>in</strong>action that canbe achieved by mitigation policy consistent withthe EU's 2 °C target, <strong>in</strong>clud<strong>in</strong>g avoid<strong>in</strong>g some of thepotential lower-probability, high-consequence events(see Figure 5.4).There are also some headl<strong>in</strong>e aggregated resultswhich report large economic costs for <strong>Europe</strong>. Asan example, the PAGE09 Integrated AssessmentModel (IAM) (Hope, 2011; Watkiss, 2011) reportstotal damage costs equivalent to almost 4 % of GDPfor <strong>Europe</strong> by 2100 under an A1B scenario, witha risk of extremely large costs at the tails of thedistribution (<strong>in</strong> excess of 10 % of GDP equivalent).Under the E1 scenario (equivalent to the 2 °C target)these fall to under 1 % of GDP equivalent <strong>and</strong>, moreimportantly, remove the tail of extreme values. Itis stressed, however, that some other IAMs reportmuch lower values.Figure 5.5%1009080706050403020100Note:CoastalzonesEU-27 only; A1B scenario, 2070–2100, comb<strong>in</strong>edeffects of climate <strong>change</strong> <strong>and</strong> socio‐economic <strong>change</strong>.Source: Watkiss, 2011.Projected distribution ofeconomic costs <strong>fr</strong>om climate<strong>change</strong> <strong>and</strong> socio‐economicdevelopments by impact type <strong>and</strong><strong>Europe</strong>an regionRiverfloodsEnergy(cool<strong>in</strong>g)Health(mortality)Southern Northern Eastern Western232 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Vulnerability to climate <strong>change</strong>Of course, all of the estimates above are partial.Even with<strong>in</strong> the sectors covered, the analysisconsiders a subset of the possible effects of climate<strong>change</strong>. There are also important sectors for whichestimates are not reported above (e.g. water,bus<strong>in</strong>ess, etc.) <strong>and</strong> some others where valuationrema<strong>in</strong>s challeng<strong>in</strong>g, notably biodiversity <strong>and</strong>ecosystems services (<strong>in</strong>clud<strong>in</strong>g terrestrial, aquatic<strong>and</strong> mar<strong>in</strong>e systems, <strong>in</strong>clud<strong>in</strong>g the effects of oceanacidification).The analysis also excludes the cross-sectoral,wider economic <strong>and</strong> <strong>in</strong>ternational (non‐<strong>Europe</strong>an)effects. There has been some assessment of widermacro‐economic effects <strong>in</strong> <strong>Europe</strong> (Ciscar et al.,2011) us<strong>in</strong>g computable general equilibrium models,but the coverage of cross-sectoral effects rema<strong>in</strong>s atan early stage, <strong>and</strong> there is very little quantitativeevidence on how <strong>impacts</strong> <strong>in</strong>ternationally will impactwith<strong>in</strong> <strong>Europe</strong>. All of these additional categoriesneed to be considered <strong>in</strong> weigh<strong>in</strong>g up the overalleconomic estimates of climate <strong>change</strong> to <strong>Europe</strong>.An <strong>in</strong>dicative summary table show<strong>in</strong>g the coverageof damage cost estimates is shown <strong>in</strong> Table 5.1.Table 5.1Coverage of <strong>Europe</strong>an-wide damage cost studies by sectorSector Coverage DamagecostestimatesCoastal zones High coverage (<strong>in</strong><strong>fr</strong>astructure/erosion) for <strong>Europe</strong>, regions, several Member States as well ascities/local examples. Less on valuation of coastal ecosystems.WaterMedium. <strong>Europe</strong>an-wide studies of flood risks, as well as national, river bas<strong>in</strong> or sub-national studieson water supply.Some coverage of droughts <strong>and</strong> wider dem<strong>and</strong>-supply balance.EnergyAgricultureHealthIn<strong>fr</strong>astructure/built environmentMedium. Cool<strong>in</strong>g/heat<strong>in</strong>g dem<strong>and</strong> for <strong>Europe</strong>, as well as some Member States. Number of studies onhydro-generation, <strong>and</strong> some analysis of thermal plant.Medium. Large number of studies on crop productivity, with consideration of values, <strong>in</strong>clud<strong>in</strong>g aspart of <strong>in</strong>ternational studies look<strong>in</strong>g at trade effects. Much less analysis outside ma<strong>in</strong> crops, e.g. onhorticulture, livestock <strong>and</strong> wider multi-functionality of agriculture.Medium. Several <strong>Europe</strong>an studies on heat-related mortality, <strong>and</strong> a number of other effects(food‐borne disease, some flood risk aspects). Less coverage of economics of other health risks.Medium. Largely covered through flood <strong>and</strong> energy analysis above. Some <strong>in</strong>dicative estimates forstorm damage, some national studies of subsidence.Tourism Medium — Low. Some <strong>Europe</strong>an analysis (summer tourism) <strong>and</strong> w<strong>in</strong>ter tourism (Alps). TransportForestryBiodiversity/ecosystemsservicesBus<strong>in</strong>ess <strong>and</strong><strong>in</strong>dustryIndirect <strong>and</strong>cross-sectoralMacro-economiceffectsInternational(effects <strong>in</strong>to EU)Tipp<strong>in</strong>g elementsMedium — Low. Recent <strong>Europe</strong>an analysis, <strong>and</strong> number of national <strong>and</strong> <strong>in</strong>dividual sector casestudies.Low — Medium. A number of studies, with<strong>in</strong> <strong>Europe</strong> <strong>and</strong> l<strong>in</strong>ked as part of global assessments,mostly focused on timber value, though some carbon storage values emerg<strong>in</strong>g.Low – limited number of quantitative studies, though some examples through to valuation(e.g. carbon sequestration).Very low — no quantitative studies found. –Low — some examples (e.g. flood<strong>in</strong>g) but limited, <strong>and</strong> little coverage of full range of effects <strong>and</strong>compound<strong>in</strong>g factors.Low — a number of studies have fed sectoral impact assessment values <strong>in</strong>to computable generalequilibrium (CGE) models.Very little quantitative literature. Potentially <strong>in</strong>cludes issues with imports/exports, supply cha<strong>in</strong>s,<strong>in</strong>ternational price effects, <strong>and</strong> socially cont<strong>in</strong>gent effects such as <strong>fr</strong>om migration or conflict (<strong>and</strong><strong>impacts</strong> on <strong>Europe</strong> or on development fund<strong>in</strong>g).Low — though a number of studies on economic costs of major sea-level rise <strong>in</strong> <strong>Europe</strong> <strong>and</strong> atMember State level.–Note:See ma<strong>in</strong> text for discussion <strong>and</strong> caveats.Key: Good coverage at <strong>Europe</strong>an, national <strong>and</strong> local levels. Reasonable coverage, with a selection of <strong>Europe</strong>an <strong>and</strong> national studies. Emerg<strong>in</strong>g coverage, with a selection of <strong>Europe</strong>an <strong>and</strong> some national studies. Low coverage with some <strong>in</strong>itial <strong>Europe</strong>an or selected national or case studies.– Lack of published studies, literature mostly focused on qualitative analysis.Source: EEA, 2010a.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012233


Vulnerability to climate <strong>change</strong>F<strong>in</strong>ally, it is also important to account for additionalpolicy co-benefits. Mitigation policy has a beneficialeffect <strong>in</strong> reduc<strong>in</strong>g GHG emissions, but alsoreduces emissions of air pollutants which lead toair quality benefits, which importantly are bothlocal <strong>and</strong> immediate. The GAINS <strong>and</strong> ALPHAmodels were used to estimate the health <strong>and</strong>environmental benefits of achiev<strong>in</strong>g the EU's 2050low-carbon path (Holl<strong>and</strong> et al., 2011). The largebenefits <strong>in</strong> terms of <strong>in</strong>creased life expectancy <strong>and</strong>lower pollution‐related <strong>impacts</strong> were estimated atEUR 48 billion to EUR 99 billion per year <strong>in</strong> 2050for the EU-27 (current prices, undiscounted), <strong>and</strong>generated very significant economic benefits pertonne of CO2 reduced. Additional economic benefitswould also arise <strong>fr</strong>om enhanced energy security <strong>and</strong>the reduction <strong>in</strong> energy importsEven if emissions of GHGs stop today, <strong>change</strong>s<strong>in</strong> the climate will cont<strong>in</strong>ue for many decades<strong>and</strong> there is a need to develop adequate adaptiveresponses (adaptation). To allow a fully <strong>in</strong>formedpolicy debate on adaptation, there is a need toconsider the economic aspects of adaptation, thatis, the costs <strong>and</strong> benefits. There is an emerg<strong>in</strong>gliterature on such estimates, <strong>and</strong> alongside<strong>Europe</strong>an estimates many countries are develop<strong>in</strong>geconomic assessments as part of their climate <strong>change</strong><strong>and</strong> adaptation policy development. Information onthe costs of adaptation is <strong>in</strong>cluded <strong>in</strong> the dedicatedEEA report 'Adaptation <strong>in</strong> <strong>Europe</strong>'.The rema<strong>in</strong>der of this section presents <strong>in</strong>formationon costs <strong>in</strong> the ma<strong>in</strong> sectors <strong>in</strong>vestigated <strong>in</strong> the<strong>Climate</strong>Cost project.Coastal floodsThe most studied sector to date is the coastal sector,which has long reported <strong>Europe</strong>an damage costs<strong>fr</strong>om models such as DIVA (Vafeidis et al., 2008;H<strong>in</strong>kel <strong>and</strong> Kle<strong>in</strong>, 2009) with more detailed studiesfor some Member States (notably the Netherl<strong>and</strong>s<strong>and</strong> the United K<strong>in</strong>gdom, e.g. Evans et al., 2004;Deltacommissie, 2008). Previously reportedestimates <strong>fr</strong>om PESETA (Richards <strong>and</strong> Nicholls,2009; Bosello et al., 2011) have been updated by(H<strong>in</strong>kel et al., 2010) <strong>and</strong> more recently as part of the<strong>Climate</strong>Cost project (Brown et al., 2011). The latteranalysis considered a medium-high emissions A1Bscenario <strong>and</strong> a mitigation scenario the ENSEMBLESE1 scenario (Lowe et al., 2009; van der L<strong>in</strong>den <strong>and</strong>Mitchell, 2009). The mitigation scenario leads tolong-term stabilisation at 450 ppm, which has ahigh chance of limit<strong>in</strong>g global warm<strong>in</strong>g to less than2 °C, relative to pre-<strong>in</strong>dustrial levels, consistentwith the EU target. It also considered an extremesea-level rise consistent with the more recentliterature s<strong>in</strong>ce the AR4, consider<strong>in</strong>g a rise of morethan 1.2 m of sea-level rise (SLR) by 2100 (see forexample Rahmstorf, 2007). Assum<strong>in</strong>g that defencesare not upgraded <strong>fr</strong>om the st<strong>and</strong>ards modelled <strong>in</strong>the 1995 basel<strong>in</strong>e, the costs <strong>in</strong> <strong>Europe</strong> are estimatedat around EUR 11 billion/year (for the mid estimateof temperature-sea level response) for the 2050s(annual average costs for the period 2040–2070),ris<strong>in</strong>g to EUR 25 billion/year by the 2080s (annualaverage costs for the period 2070–2100) for theA1B scenario (comb<strong>in</strong>ed effects of climate <strong>and</strong>socio‐economic <strong>change</strong>, based on current prices,with no discount<strong>in</strong>g). It is highlighted there isa wide range around these values due to theuncerta<strong>in</strong>ty <strong>in</strong> projected temperature <strong>and</strong> sea-levelrise response. Under the E1 (mitigation) scenario,costs <strong>in</strong> later time periods fall significantly. Theconsideration of a more extreme sea-level scenario(over 1.2 m by 2100) <strong>in</strong>creases the estimated annualdamage costs for the EU to EUR 156 billion/year(undiscounted) by the 2080s — six times higherthan that for the A1B scenario. This is an importantf<strong>in</strong>d<strong>in</strong>g as it highlights the need for both mitigationas well as adaptation as the chances of these extremescenarios are significantly reduced with mitigation.There are also major differences among MemberStates <strong>in</strong> the costs projected. At the overall <strong>Europe</strong>anlevel these coastal damage costs are a relatively lowpercentage of GDP, but there are higher relativecosts (as a proportion of GDP) <strong>in</strong> some countries.Belgium, Denmark, the Netherl<strong>and</strong>s, Portugal <strong>and</strong>the United K<strong>in</strong>gdom are ranked <strong>in</strong> the top five mostcostly countries for damage costs relative to GDP.River floodsThere are also <strong>Europe</strong>an-wide damage cost estimatesfor river flood<strong>in</strong>g. Floods already cause majoreconomic costs <strong>in</strong> <strong>Europe</strong> <strong>and</strong> climate <strong>change</strong>could <strong>in</strong>crease the magnitude <strong>and</strong> <strong>fr</strong>equency ofthese events, lead<strong>in</strong>g to higher costs. However,these events need to be seen <strong>in</strong> the context of othersocio‐economic drivers. A range of <strong>Europe</strong>an <strong>and</strong>Member State assessments have emerged over recentyears. Analysis <strong>fr</strong>om the <strong>Climate</strong>Cost project (Feyenet al., 2011) us<strong>in</strong>g the LISFLOOD model has assessedthe potential costs of river flood<strong>in</strong>g across <strong>Europe</strong>.The expected annual damage (EAD) costs under anA1B scenario led to estimated costs of EUR 20 billionby the 2020s (2011–2040), EUR 46 billion by the2050s (2041–2070) <strong>and</strong> EUR 98 billion by the 2080s(2071–2100) (mean ensemble results, comb<strong>in</strong>ed234 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Vulnerability to climate <strong>change</strong>effects of socio‐economic <strong>and</strong> climate <strong>change</strong>, currentvalues, undiscounted) <strong>in</strong> the EU-27. However, alarge part of these future costs (<strong>and</strong> the <strong>in</strong>crease<strong>in</strong> exposure) is driven by socio‐economic <strong>change</strong>(population <strong>and</strong> economic growth), not<strong>in</strong>g thesedrivers vary among EU Member States. Analysis atthe country level shows high climate-related costs<strong>in</strong> Belgium, Irel<strong>and</strong>, Italy, the Netherl<strong>and</strong>s <strong>and</strong>the United K<strong>in</strong>gdom. The results also show a verywide range around these central (mean ensemble)estimates, represent<strong>in</strong>g the range of results <strong>fr</strong>omdifferent climate models. At the EU level, thepotential damage costs were found to vary by afactor of two (higher or lower) across the range ofmodels sampled (12 regional climate models): atthe country level the differences were even moresignificant, with different models even report<strong>in</strong>gdifferences <strong>in</strong> the sign of <strong>change</strong>. This highlightsthe need to consider this variability (uncerta<strong>in</strong>ty)<strong>in</strong> formulat<strong>in</strong>g adaptation strategies. Under theE1 stabilisation scenario, the costs were estimatedto fall to EUR 15 billion by the 2020s, EUR 42 billionby the 2050s <strong>and</strong> EUR 68 billion by the 2080s <strong>in</strong> theEU-27 (current values, undiscounted). There hasalso been work on <strong>Europe</strong>an-wide assessments ofdrought risks <strong>and</strong> water scarcity risks, as part of theClimWatAdapt project (see Section 5.2), though thishas not produced damage costs.EnergySome of the largest potential costs (<strong>and</strong> also benefits)of climate <strong>change</strong> <strong>in</strong> <strong>Europe</strong> are likely to occur <strong>in</strong>the energy sector (see Section 4.5). <strong>Climate</strong> <strong>change</strong>will have negative <strong>and</strong> positive effects on futureenergy dem<strong>and</strong>, <strong>in</strong>creas<strong>in</strong>g summer cool<strong>in</strong>g butreduc<strong>in</strong>g w<strong>in</strong>ter heat<strong>in</strong>g dem<strong>and</strong>. The <strong>Climate</strong>Coststudy has assessed the potential <strong>impacts</strong> <strong>and</strong>economic costs of climate <strong>change</strong> on energy dem<strong>and</strong><strong>in</strong> <strong>Europe</strong> us<strong>in</strong>g the POLES model (Mima et al.,2012). Consider<strong>in</strong>g cool<strong>in</strong>g dem<strong>and</strong> first, the studyreports a strong <strong>in</strong>crease <strong>in</strong> cool<strong>in</strong>g (<strong>and</strong> electricity)dem<strong>and</strong> <strong>in</strong> <strong>Europe</strong> under the A1B scenario, withthe additional cool<strong>in</strong>g costs <strong>fr</strong>om climate <strong>change</strong>alone estimated at around EUR 30 billion/year <strong>in</strong>the EU-27 by 2050, ris<strong>in</strong>g to EUR 109 billion/yearby 2100 (current values, undiscounted). There is astrong distributional pattern of cool<strong>in</strong>g <strong>in</strong>creasesacross <strong>Europe</strong>, with a much higher <strong>in</strong>crease <strong>in</strong>southern <strong>Europe</strong>, <strong>and</strong> as for other sectors, a verywide range around the central (mean ensemble)estimates, represent<strong>in</strong>g the range of results <strong>fr</strong>omdifferent climate models. However, a similar level ofeconomic benefit is projected <strong>fr</strong>om the reduction <strong>in</strong>w<strong>in</strong>ter heat<strong>in</strong>g dem<strong>and</strong> <strong>fr</strong>om warmer temperaturesunder the A1B scenario, estimated also at just overEUR 100 billion/year by 2100, though the benefitsgenerally arise <strong>in</strong> different countries due to the costsof <strong>in</strong>creased cool<strong>in</strong>g. Under the E1 scenario, thetotal costs of cool<strong>in</strong>g dem<strong>and</strong> due to climate <strong>change</strong>(alone) are much lower, estimated at approximatelyEUR 20 billion/year across the period 2050–2100.<strong>Climate</strong> <strong>change</strong> will also have effects on energysupply, notably on hydro-electric generation,but also potentially on thermal power (nuclear<strong>and</strong> fossil) plants <strong>and</strong> on some renewables. Thecomb<strong>in</strong>ed effects of these supply effects could besignificant (at up to a few per cent of <strong>Europe</strong>angeneration) <strong>and</strong> have potentially large economiccosts, potentially similar <strong>in</strong> size to the dem<strong>and</strong>effects described above.Human healthFor non‐market sectors, a key focus has been onthe health sector (see also Section 4.4). The largesteconomic costs are likely to arise <strong>fr</strong>om heat-relatedmortality, though the potential effects of food‐bornedisease <strong>and</strong> flood-related health effects are alsoimportant. <strong>Climate</strong>Cost provided <strong>Europe</strong>anestimates of the <strong>impacts</strong> <strong>and</strong> economic costs ofclimate <strong>change</strong> on health <strong>in</strong> <strong>Europe</strong> (Kovats et al.,2011). The costs of heat-related mortality wereestimated, though the reported values vary stronglyaccord<strong>in</strong>g to whether acclimatisation is assumed,<strong>and</strong> on the metric used for mortality valuation.The estimated costs of heat-related mortality —<strong>fr</strong>om climate <strong>change</strong> <strong>and</strong> socio‐economic <strong>change</strong>(<strong>in</strong>clud<strong>in</strong>g the population age distribution) — wereestimated at over EUR 200 billion/year by the 2050s(2041–2070) when us<strong>in</strong>g a full Value of a StatisticalLife (VSL); however, these estimates are driven byfuture socio‐economic <strong>change</strong>. The estimated costsof heat related mortality — <strong>fr</strong>om climate <strong>change</strong>alone (over <strong>and</strong> above socio‐economic <strong>change</strong>) —were estimated at EUR 31 billion/year by the 2020s(2011–2040), EUR 103 billion/year by the 2050s(2041–2070) <strong>and</strong> EUR 147 billion/year by the 2080s(2071–2100) for the A1B scenario when us<strong>in</strong>g afull VSL. These values fell by over a factor of tenwhen us<strong>in</strong>g the Value of a Life Year Lost (VOLY)approach, which adjusts for the average period oflife lost. Includ<strong>in</strong>g (autonomous) acclimatisationalso reduced these A1B <strong>impacts</strong> significantly, byaround a factor of three for later time periods.The greatest <strong>impacts</strong> arise <strong>in</strong> the most populatedcountries (<strong>in</strong> absolute) terms, but there are relativelyhigher <strong>in</strong>creases (per population) for Mediterraneancountries, reflect<strong>in</strong>g higher warm<strong>in</strong>g <strong>and</strong> risk<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012235


Vulnerability to climate <strong>change</strong>factors. The results also show a very wide rangearound the central (mean ensemble) estimates,represent<strong>in</strong>g the range of results <strong>fr</strong>om differentclimate models. In all cases, the costs <strong>in</strong> later yearsfall significantly under an E1 (2 °C) scenario,by almost half by the 2080s, <strong>and</strong> more than thisunder scenarios where acclimatisation is <strong>in</strong>cluded.Additional economic costs were estimated forfood‐borne disease (salmonellosis) <strong>and</strong> flood‐relateddeaths, though these were found to be relativelylow compared to heat-related mortality. It isalso stressed that there are potentially very largeeconomic benefits <strong>fr</strong>om climate <strong>change</strong> reduc<strong>in</strong>gw<strong>in</strong>ter (cold‐related) mortality <strong>in</strong> <strong>Europe</strong>. Previousestimates (Watkiss <strong>and</strong> Hunt, 2012) estimate thatthese are likely to be at least as large — <strong>in</strong> termsof the reduction <strong>in</strong> cases of mortality/life yearsga<strong>in</strong>ed <strong>and</strong> economic benefits — as the <strong>in</strong>creases <strong>in</strong>heat‐related mortality.Biodiversity <strong>and</strong> ecosystems servicesThe valuation of the effects of climate <strong>change</strong>on biodiversity <strong>and</strong> ecosystems services isextremely complex <strong>and</strong> while a number of studieshave undertaken case studies, this rema<strong>in</strong>s anunder‐explored area. There has been wider progresson ecosystem service valuation, notably throughthe Economics of Ecosystems <strong>and</strong> Biodiversity(TEEB) study (TEEB, 2010). There have alsobeen assessments of the economic benefits thatecosystems services (forests) provide <strong>in</strong> termsof carbon sequestration (regulat<strong>in</strong>g services)<strong>and</strong> the effects of climate <strong>change</strong> on these underfuture scenarios. However, the results are highlydeterm<strong>in</strong>ed by assumptions about CO 2fertilisation(Watkiss, 2011). Some work has also looked atecosystem shifts <strong>fr</strong>om climate <strong>change</strong> on bioclimaticspecies <strong>and</strong> ecosystem envelopes <strong>and</strong> us<strong>in</strong>grestoration costs (Hunt, 2008). However, the widerapplication of ecosystem service valuation to assessthe <strong>impacts</strong> of climate <strong>change</strong> rema<strong>in</strong>s a majorpriority for future analysis.236 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Indicator <strong>and</strong> data needs6 Indicator <strong>and</strong> data needsKey messages• For many <strong>in</strong>dicators of past climate <strong>change</strong> <strong>and</strong> climate <strong>change</strong> <strong>impacts</strong> <strong>in</strong> <strong>Europe</strong> improvements <strong>in</strong> dataare needed (e.g. to extend the length of time series <strong>and</strong> the geographical coverage).• Enhanced monitor<strong>in</strong>g is needed of Essential <strong>Climate</strong> Variables (ECVs) relevant for adaptation, both <strong>fr</strong>om<strong>in</strong> situ stations <strong>and</strong> us<strong>in</strong>g satellites <strong>and</strong> there is also a need for further reanalysis of <strong>Europe</strong>an climatedata.• Enhanced monitor<strong>in</strong>g is also needed of climate <strong>change</strong> <strong>impacts</strong> <strong>in</strong> <strong>Europe</strong> on environmental systems,socio‐economic systems <strong>and</strong> health, <strong>and</strong> of costs of damages of extreme weather events.• <strong>Climate</strong> <strong>change</strong> <strong>impacts</strong> <strong>in</strong>dicators are only to a very limited extent <strong>in</strong>cluded with<strong>in</strong> exist<strong>in</strong>g <strong>and</strong>emerg<strong>in</strong>g <strong>Europe</strong>an thematic <strong>and</strong> sectoral <strong>in</strong>dicator sets, but this should be considered <strong>in</strong> futureimprovements of these <strong>in</strong>dicator sets.• Currently, <strong>in</strong>dicators <strong>in</strong> this report are based on EU-wide research <strong>and</strong>/or global databases. For many<strong>in</strong>dicators this could cont<strong>in</strong>ue <strong>in</strong> the future while some selected <strong>in</strong>dicators may <strong>in</strong> the future be based ondirect data collected <strong>fr</strong>om member countries, for example through the <strong>Climate</strong>-ADAPT platform <strong>and</strong>/orthrough report<strong>in</strong>g of <strong>in</strong>dicators by Member States to the <strong>Europe</strong>an Commission <strong>and</strong> the EEA.• Improved comparability of climate <strong>change</strong> impact <strong>in</strong>dicators may be achieved if consistent <strong>and</strong>comparable methods <strong>and</strong> data would be implemented across EEA member countries.• Future EU research on climate <strong>change</strong> <strong>impacts</strong>, <strong>vulnerability</strong> <strong>and</strong> adaptation is expected to <strong>in</strong>crease,which can help improve the coverage <strong>and</strong> quality of <strong>Europe</strong>an-wide <strong>in</strong>dicators.IntroductionThis chapter covers the exist<strong>in</strong>g <strong>in</strong>dicator<strong>fr</strong>ameworks at EU level <strong>and</strong> thematic <strong>and</strong> sectoral<strong>in</strong>dicator sets <strong>and</strong> shows that these have <strong>in</strong>cludedclimate <strong>change</strong> <strong>and</strong> climate <strong>change</strong> <strong>impacts</strong> only to avery limited extent.The chapter also summarises the exist<strong>in</strong>g <strong>and</strong>planned improvements of observation systemsfor ECVs <strong>and</strong> the role of Global Monitor<strong>in</strong>g forEnvironment <strong>and</strong> Security (GMES). It shows thatenhanced monitor<strong>in</strong>g of ECVs, both <strong>fr</strong>om <strong>in</strong> situstations <strong>and</strong> us<strong>in</strong>g satellites, is needed.F<strong>in</strong>ally, the chapter provides a short overviewof climate <strong>change</strong> <strong>impacts</strong>, <strong>vulnerability</strong> <strong>and</strong>adaptation research activities <strong>in</strong> <strong>Europe</strong>. Althoughmuch research has been done, further research willbe needed, through Horizon 2020, the EU f<strong>in</strong>ancial<strong>in</strong>strument on future research <strong>and</strong> <strong>in</strong>novation. Itis expected that around 35 % of the Horizon 2020budget will be climate-related expenditure, which isfor mitigation <strong>and</strong> adaptation together.6.1 Policy needs for <strong>in</strong>dicators6.1.1 Indicator <strong>fr</strong>ameworks at EU levelIn the EU a number of <strong>in</strong>dicator sets exist or arebe<strong>in</strong>g developed for various policy purposes. These<strong>in</strong>itiatives do not yet explicitly take climate <strong>change</strong>impact, <strong>vulnerability</strong> <strong>and</strong> adaptation (CC IVA)aspects <strong>in</strong>to account, although the <strong>in</strong>dicator globaltemperature <strong>in</strong>crease is <strong>in</strong>cluded <strong>in</strong> a few sets (eitheras contextual or as key <strong>in</strong>dicator). Here some of thema<strong>in</strong> policy <strong>and</strong> related <strong>in</strong>dicator developments arepresented that are expected to have an <strong>in</strong>fluence onthe future development of more specific <strong>in</strong>dicatorson CC IVA.The focus of this chapter is on data <strong>and</strong> <strong>in</strong>dicatorson past <strong>and</strong> present climate <strong>change</strong> <strong>and</strong> its <strong>impacts</strong>.Vulnerability, usually focus<strong>in</strong>g on future projections<strong>and</strong> scenarios, was addressed <strong>in</strong> Chapter 5, whilethe <strong>in</strong>troduction mentioned the importance ofsocio‐economic scenarios with<strong>in</strong> <strong>vulnerability</strong>assessments.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012237


Indicator <strong>and</strong> data needsA key policy development the past years was an<strong>in</strong>creased focus on green economy <strong>and</strong> resourceefficiency, <strong>in</strong> relation to the <strong>Europe</strong> 2020 – <strong>Europe</strong>'sgrowth strategy. <strong>Climate</strong> <strong>change</strong> mitigation is covered<strong>in</strong> this strategy through targets on GHG emissionsaimed to be 20 % lower than 1990 (or 30 %, if theconditions are right), 20 % of energy to come <strong>fr</strong>omrenewables <strong>and</strong> a 20 % <strong>in</strong>crease <strong>in</strong> energy efficiency.<strong>Climate</strong> <strong>change</strong> adaptation is covered to a lesserextent, although the strategy does mention: 'We mustalso strengthen our economies' resilience to climaterisks, <strong>and</strong> our capacity for disaster prevention <strong>and</strong>response'.The resource-efficiency <strong>in</strong>itiative under the <strong>Europe</strong>2020 strategy supports the shift towards a resourceefficient,low-carbon economy to achieve susta<strong>in</strong>ablegrowth. The <strong>Europe</strong>an Commission published <strong>in</strong>2011 a roadmap for a resource-efficient <strong>Europe</strong> ( 79 ). Itsets out a vision for the structural <strong>and</strong> technological<strong>change</strong> needed up to 2050, with milestones tobe reached by 2020. It proposes ways to <strong>in</strong>creaseresource productivity <strong>and</strong> decouple economic growth<strong>fr</strong>om resource use <strong>and</strong> its environmental impact. A setof <strong>in</strong>dicators is be<strong>in</strong>g developed by the <strong>Europe</strong>anCommission (<strong>in</strong>clud<strong>in</strong>g Eurostat) <strong>and</strong> also <strong>in</strong>volv<strong>in</strong>gthe EEA. A stakeholder consultation process takesplace <strong>in</strong> 2012 (July–October) ( 80 ).Another related development is an <strong>in</strong>creas<strong>in</strong>grecognition of the need to measure progress <strong>in</strong> society,susta<strong>in</strong>ability, well-be<strong>in</strong>g <strong>and</strong> quality of life, throughfor example a <strong>Europe</strong>an Commission communicationon 'Beyond GDP' <strong>and</strong> an overview <strong>in</strong> a report <strong>fr</strong>omthe 'Sponsorship Group on Measur<strong>in</strong>g Progress,Well‐be<strong>in</strong>g <strong>and</strong> Susta<strong>in</strong>able Development' ( 81 ).The resource efficiency <strong>and</strong> beyond GDP <strong>in</strong>dicatordevelopments have so far not <strong>in</strong>cluded CC IVAexplicitly.Structural Indicators represent a set of 79 <strong>in</strong>dicatorsdeveloped to measure the progress towards theobjectives of the Lisbon Strategy. However, afterthe conclusion of the Lisbon process <strong>in</strong> year 2010<strong>and</strong> the adoption of the <strong>Europe</strong> 2020 strategy, thema<strong>in</strong>tenance of this set by EUROSTAT is be<strong>in</strong>gprogressively stopped.Susta<strong>in</strong>able Development Indicators (SDIs) are used tomonitor the EU Susta<strong>in</strong>able Development Strategy(EU SDS) <strong>in</strong> a report published by Eurostat every twoyears. They are presented <strong>in</strong> 10 themes. Of more than100 <strong>in</strong>dicators, 11 have been identified as headl<strong>in</strong>e<strong>in</strong>dicators. They were <strong>in</strong>tended to give an overallpicture of whether the EU has achieved progresstowards susta<strong>in</strong>able development <strong>in</strong> terms of theobjectives <strong>and</strong> targets def<strong>in</strong>ed <strong>in</strong> the strategy. As one'explanatory variable', global temperature <strong>in</strong>creaseswas <strong>in</strong>cluded.The <strong>Europe</strong>an Commission's annual EnvironmentPolicy Review is a report designed to monitor recentenvironmental trends <strong>and</strong> policy developments atEU <strong>and</strong> national levels <strong>and</strong> the progress towards theEU's key environmental goals as set out <strong>in</strong> the 6thEnvironment Action Programme. It conta<strong>in</strong>s about30 key environmental <strong>in</strong>dicators for EU environmentpolicy <strong>and</strong> <strong>in</strong>cludes environmental goals as set out <strong>in</strong>the 6th Environment Action Programme. Regard<strong>in</strong>gCC IVA, the follow<strong>in</strong>g <strong>in</strong>dicators are <strong>in</strong>cluded: globalair temperature <strong>change</strong> (compared to the goal oflimit<strong>in</strong>g the <strong>in</strong>crease of global temperature to 2 °Cabove pre-<strong>in</strong>dustrial levels); concentrations of CO 2<strong>in</strong>the atmosphere (compared to a stabilisation level <strong>in</strong>the range of 350 to 400 ppm); <strong>and</strong> natural disastersl<strong>in</strong>ked to climate <strong>change</strong> (floods, w<strong>in</strong>d storms,extreme temperatures <strong>and</strong> droughts) ( 82 ).A <strong>Europe</strong>an Strategy for Environmental Account<strong>in</strong>gmanaged by Eurostat ( 83 ) provides the <strong>fr</strong>ameworkfor environmental accounts. It was followed by anEU Regulation adopted <strong>in</strong> 2011. These accountstrack the l<strong>in</strong>ks between the environment <strong>and</strong> theeconomy at EU, national, regional <strong>and</strong> <strong>in</strong>dustrylevels <strong>and</strong> complement environmental statistics <strong>and</strong><strong>in</strong>dicators. They facilitate an <strong>in</strong>-depth analysis ofenvironmental concerns, s<strong>in</strong>ce the different modulesare broken down by <strong>in</strong>dustry (<strong>in</strong> the manner ofNational Account<strong>in</strong>g Matrix <strong>in</strong>clud<strong>in</strong>g EnvironmentalAccounts (NAMEA)) at country level.Regard<strong>in</strong>g CC IVA issues, the developments ofspecifically water accounts <strong>and</strong> possibly also <strong>in</strong> thefuture ecosystem accounts can be relevant. The EEAcollaborates with Eurostat on ecosystem account<strong>in</strong>g<strong>and</strong> is prepar<strong>in</strong>g several <strong>in</strong>itial accounts by 2012,<strong>in</strong>clud<strong>in</strong>g on water (see below).( 79 ) See http://ec.europa.eu/environment/resource_efficiency/<strong>in</strong>dex_en.htm.( 80 ) See http://ec.europa.eu/environment/resource_efficiency/targets_<strong>in</strong>dicators/stakeholder_consultation/<strong>in</strong>dex_en.htm.( 81 ) See http://epp.eurostat.ec.europa.eu/portal/page/portal/pgp_ess/about_ess/measur<strong>in</strong>g_progress.( 82 ) See http://ec.europa.eu/environment/pdf/policy/EPR_2009.pdf.( 83 ) See http://epp.eurostat.ec.europa.eu/portal/page/portal/environmental_accounts/<strong>in</strong>troduction.238 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Indicator <strong>and</strong> data needs6.1.2 Thematic <strong>and</strong> sectoral <strong>in</strong>dicator setsA number of sectors are particularly relevant<strong>fr</strong>om the po<strong>in</strong>t of view of <strong>vulnerability</strong> to climate<strong>change</strong>. These <strong>in</strong>clude water; mar<strong>in</strong>e environment;terrestrial biodiversity; human health; <strong>and</strong> energy,transport <strong>and</strong> agriculture. Consequently there isalso a particular <strong>in</strong>terest to develop <strong>in</strong>dicators forthese themes, for which the current state of play isdescribed below.Water (water quality, floods, water scarcity <strong>and</strong>droughts)Data <strong>and</strong> <strong>in</strong>dicators on water quality <strong>and</strong> waterresources (floods, water scarcity <strong>and</strong> droughts) areavailable <strong>in</strong> WISE, the Water Information System for<strong>Europe</strong> ( 84 ).With<strong>in</strong> the WFD ( 85 ), first River Bas<strong>in</strong> ManagementPlans for 2009–2015 were submitted <strong>in</strong> 2009/2010.While the first River Bas<strong>in</strong> Management Plans(2009/2010) do not take climate <strong>change</strong> <strong>in</strong>to account<strong>in</strong> most cases, the second plans (2015) shouldtake <strong>in</strong>to account the <strong>impacts</strong> of climate <strong>change</strong>,us<strong>in</strong>g guidance published <strong>in</strong> 2009. In addition,climate <strong>change</strong> should also be <strong>in</strong>tegrated <strong>in</strong> theimplementation of the Floods Directive ( 86 ) <strong>and</strong> theStrategy on Water Scarcity <strong>and</strong> Drought (WSD) ( 87 ).The Floods Directive required Member States tofirst carry out a prelim<strong>in</strong>ary assessment by 2011to identify the river bas<strong>in</strong>s <strong>and</strong> associated coastalareas at risk of flood<strong>in</strong>g. For such zones they wouldthen need to draw up flood risk maps by 2013 <strong>and</strong>establish flood risk management plans focused onprevention, protection <strong>and</strong> preparedness by 2015.The <strong>Europe</strong>an Commission <strong>and</strong> the EEA will <strong>in</strong>clude<strong>in</strong>formation on (prelim<strong>in</strong>ary) flood risk maps <strong>in</strong>WISE. The report<strong>in</strong>g on flood risk managementplans, due 2015, is expected to <strong>in</strong>clude <strong>in</strong>formationon climate <strong>change</strong> adaptation.Regard<strong>in</strong>g currently available data <strong>and</strong> <strong>in</strong>dicatorson WSD, <strong>in</strong> particular the Water Exploitation Index(WEI) is relevant, available at national scale ( 88 ). Thespatial <strong>and</strong> temporal detail of the WEI is currentlybe<strong>in</strong>g improved by the EEA, encourag<strong>in</strong>g countriesto provide data at river bas<strong>in</strong>-scale <strong>and</strong> for differentseasons (see also below on water accounts). The EEAreport 'Towards efficient use of water resources <strong>in</strong><strong>Europe</strong>' (2012) <strong>in</strong>cludes an <strong>in</strong>itial analysis of a moredisaggregated WEI ( 89 ).A SOER 2010 thematic assessment was publishedon 'Water resources: quantity <strong>and</strong> flows' ( 90 ). TheDirectorate-General for Environment (DG ENV) hascommissioned a study 'ClimWatAdapt' aimed at anIntegrated Assessment Framework to address waterquantity/quality <strong>and</strong> climate <strong>change</strong> adaptation.With<strong>in</strong> ClimWatAdapt, various <strong>vulnerability</strong><strong>in</strong>dicators have been developed, <strong>in</strong>clud<strong>in</strong>g on waterstress <strong>and</strong> flood risks ( 91 ). Other important projects<strong>and</strong> organisations, which <strong>in</strong>clude <strong>in</strong>dicators onprojected risks of floods at <strong>Europe</strong>an level, areESPON <strong>Climate</strong> ( 92 ) <strong>and</strong> the JRC ( 93 ).Indicators on past <strong>impacts</strong> (on economy, humanhealth, ecosystems) of natural hazards, <strong>in</strong>clud<strong>in</strong>gfloods <strong>and</strong> droughts are <strong>in</strong>cluded <strong>in</strong> an EEA reporton natural hazards (2011) ( 94 ). The report usedprimarily data <strong>fr</strong>om EM-DAT/CRED ( 95 ) <strong>and</strong> MunichRE ( 96 ). In a workshop held <strong>in</strong> May 2011 <strong>and</strong> <strong>in</strong> arelated paper, the need for improved quality for dataon <strong>impacts</strong> of floods on human health, ecosystems<strong>and</strong> economy was highlighted ( 97 ).By the end of 2012 the <strong>Europe</strong>an Commission willpublish a 'Bluepr<strong>in</strong>t to Safeguard <strong>Europe</strong>'s Water'as the EU policy response to achiev<strong>in</strong>g EU waterpolicy goals by 2020 (<strong>and</strong> beyond) address<strong>in</strong>g alsonew challenges such as climate <strong>change</strong> ( 98 ). The EEAwill dur<strong>in</strong>g 2012 publish various reports to supportthe bluepr<strong>in</strong>t, <strong>in</strong>clud<strong>in</strong>g a report on <strong>vulnerability</strong>.The <strong>Europe</strong>an Commission <strong>and</strong> EEA <strong>in</strong>clude the( 84 ) See http://water.europa.eu/data-<strong>and</strong>-themes.( 85 ) See http://ec.europa.eu/environment/water/water-<strong>fr</strong>amework/<strong>in</strong>dex_en.html.( 86 ) See http://ec.europa.eu/environment/water/flood_risk/<strong>in</strong>dex.htm.( 87 ) See http://ec.europa.eu/environment/water/quantity/scarcity_en.htm.( 88 ) See http://www.eea.europa.eu/data-<strong>and</strong>-maps/<strong>in</strong>dicators/use-of-<strong>fr</strong>eshwater-resources/use-of-<strong>fr</strong>eshwater-resources-assessment-2.( 89 ) See http://www.eea.europa.eu/publications/towards-efficient-use-of-water.( 90 ) See http://www.eea.europa.eu/soer/europe/water-resources-quantity-<strong>and</strong>-flows.( 91 ) See http://circa.europa.eu/Public/irc/env/wfd/library?l=/<strong>fr</strong>amework_directive/climate_adaptation/climwatadapt_report&vm=detailed&sb=Title.( 92 ) See http://www.espon.eu/ma<strong>in</strong>/Menu_Projects/Menu_AppliedResearch/climate.html.( 93 ) See http://floods.jrc.ec.europa.eu.( 94 ) See http://www.eea.europa.eu/publications/mapp<strong>in</strong>g-the-<strong>impacts</strong>-of-natural.( 95 ) See http://www.emdat.be.( 96 ) See http://www.munichre.com/en/re<strong>in</strong>surance/bus<strong>in</strong>ess/non‐life/georisks/natcatservice/default.aspx.( 97 ) See http://forum.eionet.europa.eu/eionet-air-climate/library/public/workshops/expert_2011_louva<strong>in</strong>.( 98 ) See http://ec.europa.eu/environment/water/bluepr<strong>in</strong>t/<strong>in</strong>dex_en.htm.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012239


Indicator <strong>and</strong> data needsWEI <strong>and</strong> results <strong>fr</strong>om the ClimWatAdapt project <strong>and</strong>propose some processes to improve data quality <strong>and</strong>the collection, production <strong>and</strong> analysis of the WEI.The <strong>Europe</strong>an Strategy for EnvironmentalAccount<strong>in</strong>g (see above) also <strong>in</strong>cludes 'wateraccounts'. These 'water accounts' can show thel<strong>in</strong>kages between water resources <strong>and</strong> the economy.The EEA is develop<strong>in</strong>g a water account<strong>in</strong>g methodbased on water balances on catchment level whichmay help to monitor water use <strong>in</strong> the context of<strong>in</strong>creased risk of droughts due to climate <strong>change</strong>(see also the EEA 2012 report mentioned above onwater efficiency).Biodiversity <strong>and</strong> ecosystemsA pan-<strong>Europe</strong>an <strong>in</strong>itiative, SEBI 2010 (Streaml<strong>in</strong><strong>in</strong>g<strong>Europe</strong>an 2010 Biodiversity Indicators), waslaunched <strong>in</strong> 2004 ( 99 ). Its aim was to develop a<strong>Europe</strong>an set of biodiversity <strong>in</strong>dicators to assess <strong>and</strong><strong>in</strong>form about progress towards the <strong>Europe</strong>an 2010targets.The work is performed <strong>in</strong> collaboration between theEEA, DG ENV of the <strong>Europe</strong>an Commission, the<strong>Europe</strong>an Centre for Nature Conservation (ECNC),UNEP/Pan-<strong>Europe</strong>an Biological <strong>and</strong> L<strong>and</strong>scapeDiversity Strategy (PEBLDS) Secretariat with thelead of the Czech Republic <strong>and</strong> UNEP-WCMC (theWorld Conservation Monitor<strong>in</strong>g Centre).In 2010 a biodiversity assessment based on theSEBI <strong>in</strong>dicators for the pan-<strong>Europe</strong>an region waspublished ( 100 ). The technical report conta<strong>in</strong><strong>in</strong>gspecifications of the 26 <strong>in</strong>dicators selected waspublished <strong>in</strong> 2007 ( 101 ). In 2009, the SEBI 2010<strong>in</strong>dicator fact sheets were published ( 102 ).Furthermore, a number of other reports <strong>and</strong>messages on biodiversity were published by theEEA <strong>in</strong> 2010, <strong>in</strong>clud<strong>in</strong>g a basel<strong>in</strong>e study related tothe 2020 target ( 103 ).In 2011, the <strong>Europe</strong>an Commission adopted a newEU Biodiversity Strategy which identifies 6 prioritytargets <strong>and</strong> 20 actions ( 104 ). The adoption of newbiodiversity targets at <strong>in</strong>ternational <strong>and</strong> <strong>Europe</strong>anlevels has also required the review of the SEBI<strong>in</strong>dicator set. The SEBI process has undertaken an<strong>in</strong>itial mapp<strong>in</strong>g of the 26 SEBI <strong>in</strong>dicators aga<strong>in</strong>stthe Aichi <strong>and</strong> EU targets. The analysis shows thatall the SEBI <strong>in</strong>dicators can be used to measureprogress aga<strong>in</strong>st the six new EU Targets <strong>and</strong> the20 Aichi Targets. Gaps have also been identified, <strong>and</strong>further consideration by thematic experts on howto fill the gaps is necessary. SEBI also carried out aconsultation with EEA member countries to f<strong>in</strong>d outhow the <strong>in</strong>dicators are be<strong>in</strong>g used. The revision ofthe SEBI <strong>in</strong>dicator set provides opportunities for theupdat<strong>in</strong>g <strong>and</strong> improvement of exist<strong>in</strong>g <strong>in</strong>dicators<strong>and</strong> the development of new <strong>in</strong>dicators to addressgaps (e.g. ecosystems services). Regard<strong>in</strong>g CC IVA,some analysis would be useful on how climate<strong>change</strong> can be addressed <strong>in</strong> the updat<strong>in</strong>g of the SEBI<strong>in</strong>dicator set.The EEA's ETC/ACM has analysed some of theaspects related to climate <strong>change</strong> adaptation <strong>and</strong>biodiversity ( 105 ). The paper considered proposed'high-level' biodiversity adaptation <strong>in</strong>dicatorcategories <strong>and</strong> concluded that there is a need toundertake an <strong>in</strong>-depth review of the completespectrum of EU <strong>in</strong>dicators to identify those that aremost relevant for climate <strong>change</strong> adaptation <strong>and</strong>biodiversity <strong>and</strong> where exist<strong>in</strong>g <strong>in</strong>dicators need tobe modified or new <strong>in</strong>dicators developed.Regard<strong>in</strong>g ecosystem assessments, Action 5 of theEU Biodiversity Strategy foresees that: 'MemberStates, with the assistance of the Commission, willmap <strong>and</strong> assess the state of ecosystems <strong>and</strong> theirservices <strong>in</strong> their national territory by 2014, assessthe economic value of such services, <strong>and</strong> promotethe <strong>in</strong>tegration of these values <strong>in</strong>to account<strong>in</strong>g <strong>and</strong>report<strong>in</strong>g systems at EU <strong>and</strong> national level by 2020'.Such ecosystem assessments should take CC IVAaspects <strong>in</strong>to account.Mar<strong>in</strong>eThe EEA mar<strong>in</strong>e <strong>in</strong>dicators are presently part of theCore Set of Indicators (CSI) <strong>and</strong> energy sets. TheMar<strong>in</strong>e Strategy Framework Directive (MSFD ( 106 )),adopted <strong>in</strong> 2008, has a considerable emphasis on<strong>in</strong>dicators for determ<strong>in</strong><strong>in</strong>g good environmentalstatus, with a total of 56 <strong>in</strong>dicators be<strong>in</strong>g identified( 99 ) See http://ec.europa.eu/environment/nature/knowledge/eu2010_<strong>in</strong>dicators/<strong>in</strong>dex_en.htm.( 100 ) See http://www.eea.europa.eu/publications/assess<strong>in</strong>g-biodiversity-<strong>in</strong>-europe-84.( 101 ) See http://reports.eea.europa.eu/technical_report_2007_11/en.( 102 ) See http://www.eea.europa.eu/publications/progress-towards-the-european-2010-biodiversity-target-<strong>in</strong>dicator-fact-sheets.( 103 ) See http://www.eea.europa.eu/themes/biodiversity.( 104 ) See http://ec.europa.eu/environment/nature/biodiversity/comm2006/2020.htm.( 105 ) See http://acm.eionet.europa.eu/reports/ETCACM_TP_2011_14_CCadapt_<strong>in</strong>d_biodiv.( 106 ) See http://ec.europa.eu/environment/water/mar<strong>in</strong>e/ges.htm.240 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Indicator <strong>and</strong> data needs<strong>in</strong> a <strong>Europe</strong>an Commission Decision. Build<strong>in</strong>gon a legal provision also <strong>in</strong> the MSFD for mak<strong>in</strong>gdata <strong>and</strong> <strong>in</strong>formation stemm<strong>in</strong>g <strong>fr</strong>om report<strong>in</strong>gobligations available to the EEA, <strong>and</strong> a high levelcommitment <strong>fr</strong>om Member States towards aWISE‐mar<strong>in</strong>e, the EEA plans to eventually hostmultiple <strong>in</strong>dicators on the mar<strong>in</strong>e environment.They are expected to cover the status of the mar<strong>in</strong>eecosystem, as well as pressures <strong>and</strong> <strong>impacts</strong> ofhuman activities <strong>in</strong> EU mar<strong>in</strong>e waters. Although thefirst report<strong>in</strong>g cycle will occur <strong>in</strong> 2012, there is stillconsiderable effort needed to agree with MemberStates on the specifics of the data <strong>and</strong> methodsneeded for purpose of the EEA's tasks <strong>and</strong> products,<strong>in</strong>clud<strong>in</strong>g issues such as regional coherence,prioritisation <strong>and</strong> st<strong>and</strong>ardisation of datasets.Therefore, the EEA is on the one h<strong>and</strong> streaml<strong>in</strong><strong>in</strong>gits current <strong>in</strong>dicators with the MSFD requirementsbut also establish<strong>in</strong>g a new set of mar<strong>in</strong>e <strong>in</strong>dicators(MAR) to exp<strong>and</strong> the number of <strong>in</strong>dicators <strong>and</strong>better align with the descriptors <strong>and</strong> <strong>in</strong>dicators ofthe MSFD. The MSFD <strong>in</strong>dicators should take CC IVA<strong>in</strong>to account.Human healthWHO/<strong>Europe</strong> <strong>and</strong> the <strong>Europe</strong>an Commissionestablished the '<strong>Climate</strong>, Environment <strong>and</strong> HealthAction Plan <strong>and</strong> Information System' (CEHAPIS)project <strong>in</strong> 2008. This project aims to identify thecurrent <strong>and</strong> future health risks of climate <strong>change</strong>for the <strong>Europe</strong>an Region, <strong>and</strong> assess policy optionsproposed as well as develop<strong>in</strong>g <strong>in</strong>dicators formeasur<strong>in</strong>g trends over time. As part of the CEHAPISproject a report on 'The health effects of climate<strong>change</strong> <strong>in</strong> the <strong>Europe</strong>an Union: evidence for action'is expected to be published <strong>in</strong> 2012. Also a part ofCEHAPIS is a proposal for possible <strong>in</strong>dicators onhealth <strong>and</strong> climate <strong>change</strong>, based on the follow<strong>in</strong>gissues: extreme weather events (excess heat,floods), air quality (ambient air quality, air-bornepollen/allergens) <strong>and</strong> <strong>in</strong>fectious diseases (foodbornediseases, water-borne diseases, vector-bornediseases).The ECDC developed the E3 Network, the'<strong>Europe</strong>an Environment <strong>and</strong> Epidemiology'Network ( 107 ), which provides <strong>in</strong>fectious disease<strong>in</strong>dicators for climate <strong>change</strong> <strong>and</strong> risk maps(A. albopictus <strong>and</strong> Dengue), <strong>and</strong> a risk assessment forthe impact of climate <strong>change</strong> on food-, water- <strong>and</strong>vector-borne diseases.Agriculture <strong>and</strong> environmentAgri-environmental <strong>in</strong>dicators (AEIs) track the<strong>in</strong>tegration of environmental concerns <strong>in</strong>to theCommon Agricultural Policy (CAP) at EU, national<strong>and</strong> regional levels ( 108 ). The <strong>Europe</strong>an Commissionadopted 28 AEIs to assess the <strong>in</strong>teraction betweenthe CAP <strong>and</strong> the environment, <strong>and</strong> which track:• farm management practices;• agricultural production systems;• pressures <strong>and</strong> risks to the environment;• the state of natural resources.The EEA cooperates with Eurostat (<strong>and</strong> theDirectorate-General for Agriculture <strong>and</strong> RuralDevelopment (DG AGRI), DG ENV <strong>and</strong> the JRCthrough a MoU, 2008) on the development <strong>and</strong>publication of these <strong>in</strong>dicators (see EEA ReportNo 2/2006 'Integration of environment <strong>in</strong>toEU agriculture policy — the IRENA <strong>in</strong>dicator-basedassessment report' ( 109 ). A few AEIs are potentiallyrelevant for climate <strong>change</strong> <strong>in</strong>clud<strong>in</strong>g WaterAbstraction, L<strong>and</strong>-Use Change due to agriculture,Soil Erosion, <strong>and</strong> Cropp<strong>in</strong>g patterns. Furtheranalysis is needed regard<strong>in</strong>g how climate <strong>change</strong><strong>impacts</strong> can best be <strong>in</strong>tegrated <strong>in</strong> these <strong>in</strong>dicators<strong>and</strong>/or whether additional <strong>in</strong>dicators are needed.Transport <strong>and</strong> environmentThe ma<strong>in</strong> aim of the Transport <strong>and</strong> EnvironmentReport<strong>in</strong>g Mechanism (TERM) ( 110 ) is to monitorthe progress <strong>and</strong> effectiveness of transport <strong>and</strong>environment <strong>in</strong>tegration strategies on the basisof a CSI. The TERM <strong>in</strong>dicators were selected<strong>and</strong> grouped to address seven key questions.The TERM process is steered jo<strong>in</strong>tly by the<strong>Europe</strong>an Commission (Eurostat, DG ENV, the( 107 ) See http://www.ecdc.europa.eu/en/healthtopics/climate_<strong>change</strong>/Pages/<strong>in</strong>dex.aspx.( 108 ) See http://epp.eurostat.ec.europa.eu/portal/page/portal/agri_environmental_<strong>in</strong>dicators/<strong>in</strong>troduction.( 109 ) See http://www.eea.europa.eu/publications/eea_report_2006_2.( 110 ) See http://www.eea.europa.eu/themes/transport/term.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012241


Indicator <strong>and</strong> data needsDirectorate‐General for Mobility <strong>and</strong> Transport(DG MOVE), <strong>and</strong> DG CLIMA) <strong>and</strong> the EEA. TheEEA member countries <strong>and</strong> other <strong>in</strong>ternationalorganisations provide <strong>in</strong>put <strong>and</strong> are consulted ona regular basis. The TERM <strong>in</strong>dicator list coversthe most important aspects of the transport <strong>and</strong>environment system (driv<strong>in</strong>g forces, pressures,state of the environment, <strong>impacts</strong> <strong>and</strong> societalresponses — the DPSIR <strong>fr</strong>amework). Some of theTERM <strong>in</strong>dicators are relevant for climate <strong>change</strong>adaptation, for example those address<strong>in</strong>g thetrans‐<strong>Europe</strong>an networks. Further analysis is neededregard<strong>in</strong>g how climate <strong>change</strong> <strong>impacts</strong> can bestbe <strong>in</strong>tegrated <strong>in</strong> these <strong>in</strong>dicators <strong>and</strong>/or whetheradditional <strong>in</strong>dicators are needed.Energy <strong>and</strong> environmentOne of the EEA's key activities <strong>in</strong> the field of energyis monitor<strong>in</strong>g the <strong>in</strong>tegration of environmentalconsiderations <strong>in</strong> the energy sector ( 111 ). A set of'energy <strong>and</strong> environment <strong>in</strong>dicators' is updated<strong>and</strong> published regularly <strong>and</strong> the EEA publishes anenergy <strong>and</strong> environment report on a regular basis, aswell as assessments of the expected environmentalbenefits <strong>and</strong> pressures <strong>fr</strong>om different shares o<strong>fr</strong>enewable energy. The energy–environment<strong>in</strong>dicators are organised around six policy questions.Some of these <strong>in</strong>dicators are relevant for climate<strong>change</strong> adaptation, for example those address<strong>in</strong>gelectricity production by various energy sources.The EEA is presently review<strong>in</strong>g energy <strong>in</strong>dicatorsaddress<strong>in</strong>g those needed <strong>in</strong> relation to the <strong>Europe</strong>2020 strategy, <strong>and</strong> particularly focus<strong>in</strong>g on energyefficiency <strong>and</strong> renewable energy. Further analysis isneeded regard<strong>in</strong>g how climate <strong>change</strong> <strong>impacts</strong> canbest be <strong>in</strong>tegrated <strong>in</strong> these <strong>in</strong>dicators <strong>and</strong>/or whetheradditional <strong>in</strong>dicators are needed.6.2 Observations6.2.1 Essential <strong>Climate</strong> VariablesThere are various ongo<strong>in</strong>g efforts to improve climate<strong>change</strong>-related data availability at a global level <strong>and</strong>with<strong>in</strong> <strong>Europe</strong>.The 2009 World <strong>Climate</strong> Conference-3 (WCC-3)decided to establish a new Global Frameworkfor <strong>Climate</strong> Services (GFCS ( 112 )) to provide afull range of climate <strong>in</strong>formation <strong>and</strong> predictionservices for all climate-sensitive sectors <strong>in</strong> allcountries. Meet<strong>in</strong>g the full observational needs ofthe GFCS would <strong>in</strong>volve the substantial <strong>in</strong>vestment<strong>in</strong> establishment <strong>and</strong> strengthen<strong>in</strong>g of nationalclimate observ<strong>in</strong>g networks <strong>in</strong> most countries. TheWorld Meteorological Organization (WMO) <strong>and</strong> itspartners (e.g. member countries) are work<strong>in</strong>g on animplementation plan <strong>and</strong> governance structure ofthe Framework.The Global <strong>Climate</strong> Observ<strong>in</strong>g System (GCOS)is support<strong>in</strong>g the objectives of the GFCS <strong>and</strong> is<strong>in</strong>tended to be a long-term, user-driven operationalsystem capable of provid<strong>in</strong>g the comprehensiveobservations required for:• monitor<strong>in</strong>g the climate system;• detect<strong>in</strong>g <strong>and</strong> attribut<strong>in</strong>g climate <strong>change</strong>;• assess<strong>in</strong>g <strong>impacts</strong> of, <strong>and</strong> support<strong>in</strong>g adaptationto, climate variability <strong>and</strong> <strong>change</strong>;• application to national economic development;• research to improve underst<strong>and</strong><strong>in</strong>g, modell<strong>in</strong>g<strong>and</strong> prediction of the climate system.GCOS agreed on various monitor<strong>in</strong>g pr<strong>in</strong>ciples ( 113 ).GCOS also has identified 50 ECVs (2010) that aretechnically <strong>and</strong> economically feasible for systematicobservation <strong>and</strong> that are required to support thework of the UNFCCC <strong>and</strong> the IPCC ( 114 ) (see alsoTable 6.1).The GCOS Implementation Plan (2010–2015) ( 115 )describes the path toward an <strong>in</strong>tegrated observ<strong>in</strong>gsystem that depends upon both <strong>in</strong> situ <strong>and</strong>satellite‐based measurements. Both types ofmeasurement are regarded as vital. Total annualcosts for exist<strong>in</strong>g observations <strong>and</strong> <strong>in</strong><strong>fr</strong>astructurecontribut<strong>in</strong>g to GCOS are estimated to beUSD 5–7 billion/year while the additional annualcosts of implement<strong>in</strong>g all actions <strong>in</strong> the GCOS( 111 ) See http://www.eea.europa.eu/themes/energy/eea-energy-activities.( 112 ) See http://www.wmo.<strong>in</strong>t/pages/gfcs/<strong>in</strong>dex_en.php.( 113 ) See http://www.wmo.<strong>in</strong>t/pages/prog/gcos/<strong>in</strong>dex.php?name=<strong>Climate</strong>Monitor<strong>in</strong>gPr<strong>in</strong>ciples.( 114 ) See http://www.wmo.<strong>in</strong>t/pages/prog/gcos/<strong>in</strong>dex.php?name=Essential<strong>Climate</strong>Variables.( 115 ) See http://www.wmo.<strong>in</strong>t/pages/prog/gcos/Publications/gcos-138.pdf.242 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Indicator <strong>and</strong> data needsTable 6.1Essential <strong>Climate</strong> Variables that are both currently feasible for globalimplementation <strong>and</strong> have a high impact on UNFCCC requirementsDoma<strong>in</strong>Atmospheric(over l<strong>and</strong>, sea <strong>and</strong> ice)OceanicTerrestrialGCOS Essential <strong>Climate</strong> VariablesSurface: ( a ) Air temperature, w<strong>in</strong>d speed <strong>and</strong> direction, water vapour, pressure, precipitation, surfaceradiation budget.Upper-air: ( b ) Temperature, w<strong>in</strong>d speed <strong>and</strong> direction, water vapour, cloud properties, earth radiationbudget (<strong>in</strong>clud<strong>in</strong>g solar irradiance).Composition: Carbon dioxide, methane, <strong>and</strong> other long-lived greenhouse gases ( c ), ozone <strong>and</strong> aerosol,supported by their precursors ( d ).Surface: ( e ) Sea-surface temperature, sea-surface sal<strong>in</strong>ity, sea level, sea state, sea ice, surface current,ocean colour, carbon dioxide partial pressure, ocean acidity, phytoplankton.Sub-surface: Temperature, sal<strong>in</strong>ity, current, nutrients, carbon dioxide partial pressure, ocean acidity,oxygen, tracers.River discharge, water use, groundwater, lakes, snow cover, glaciers <strong>and</strong> ice caps, ice sheets, perma<strong>fr</strong>ost,albedo, l<strong>and</strong> cover (<strong>in</strong>clud<strong>in</strong>g vegetation type), Fraction of absorbed photosynthetically active radiation(FAPAR), Leaf area <strong>in</strong>dex (LAI), above-ground biomass, soil carbon, fire disturbance, soil moisture.Note:( a ) Includ<strong>in</strong>g measurements at st<strong>and</strong>ardised, but globally vary<strong>in</strong>g heights <strong>in</strong> close proximity to the surface.( b ) Up to the stratopause.( c ) Includ<strong>in</strong>g nitrous oxide (N 2O), chlorofluorocarbons (CFCs), hydrochlorofluorocarbons (HCFCs), hydrofluorocarbons (HFCs),sulphur hexafluoride (SF 6), <strong>and</strong> perfluorocarbons (PFCs).( d ) In particular nitrogen dioxide (NO 2), sulphur dioxide (SO 2), formaldehyde (HCHO) <strong>and</strong> carbon monoxide (CO).( e ) Includ<strong>in</strong>g measurements with<strong>in</strong> the surface mixed layer, usually with<strong>in</strong> the upper 15 m.implementation plan are estimated to be aboutUSD 2.5 billion/year. A 'Satellite Supplement' ( 116 )provides additional technical detail related tosatellite-based observations for climate for eachof the ECVs. Table 6.2 provides the list of ECVsconsidered particularly feasible for susta<strong>in</strong>edmonitor<strong>in</strong>g <strong>fr</strong>om satellites.Various ECVs are directly (or <strong>in</strong>directly) relevantfor the <strong>in</strong>dicators on climate <strong>change</strong> <strong>and</strong> its <strong>impacts</strong>as presented <strong>in</strong> this report, such as near-surfaceatmospheric conditions, sea-surface temperature, ice<strong>and</strong> snow cover, <strong>and</strong> perma<strong>fr</strong>ost.Table 6.2Essential <strong>Climate</strong> Variables for which satellite observations make a significantcontributionDoma<strong>in</strong>Atmospheric(over l<strong>and</strong>, sea <strong>and</strong> ice)OceanicTerrestrialEssential <strong>Climate</strong> VariablesSurface w<strong>in</strong>d speed <strong>and</strong> direction; precipitation; upper-air temperature; upper-air w<strong>in</strong>d speed <strong>and</strong>direction; water vapour; cloud properties; Earth radiation budget (<strong>in</strong>clud<strong>in</strong>g solar irradiance); carbondioxide; methane <strong>and</strong> other long-lived greenhouse gases; <strong>and</strong> ozone <strong>and</strong> aerosol properties, supportedby their precursors.Sea-surface temperature; sea-surface sal<strong>in</strong>ity; sea level; sea state; sea ice; ocean colour.Lakes; snow cover; glaciers <strong>and</strong> ice caps; ice sheets; albedo; l<strong>and</strong> cover (<strong>in</strong>clud<strong>in</strong>g vegetation type);Fraction of absorbed photosynthetically active radiation (FAPAR); Leaf area <strong>in</strong>dex (LAI); above-groundbiomass; fire disturbance; soil moisture.( 116 ) See http://www.wmo.<strong>in</strong>t/pages/prog/gcos/documents/SatelliteSupplement2011Update.pdf.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012243


Indicator <strong>and</strong> data needs6.2.2 Global Monitor<strong>in</strong>g for Environment <strong>and</strong>SecurityThe EU 'Global Monitor<strong>in</strong>g for Environment<strong>and</strong> Security' (GMES) programme ( 117 ) aims toprovide data to help users deal with a range ofenvironmental <strong>and</strong> safety issues by a comb<strong>in</strong>ationof satellite- <strong>and</strong> ground-based data. The aim is toprovide faster, easier <strong>and</strong> (preferably) <strong>fr</strong>ee accessto data. GMES is expected to become a fullyoperational service programme <strong>in</strong> the com<strong>in</strong>g yearswith services that can be divided <strong>in</strong>to l<strong>and</strong>, mar<strong>in</strong>e<strong>and</strong> atmosphere, <strong>and</strong> emergency response <strong>and</strong>climate <strong>change</strong>. These services are <strong>in</strong> various stagesof development.The <strong>Europe</strong>an Commission's proposal for a 2014–2020Multi-annual F<strong>in</strong>ancial Framework did not <strong>in</strong>cludeGMES. In 2011/2012 discussions are tak<strong>in</strong>g placebetween the <strong>Europe</strong>an Commission, the <strong>Europe</strong>anParliament <strong>and</strong> the <strong>Europe</strong>an Council on the futuref<strong>in</strong>anc<strong>in</strong>g of GMES.The foreseen GMES climate <strong>change</strong> service wasdiscussed at a stakeholder conference <strong>in</strong> 2011(Hels<strong>in</strong>ki, F<strong>in</strong>l<strong>and</strong>) ( 118 ). The proposals ( 119 ) for thecontent of a potential GMES climate service werebroadly agreed by the participants, <strong>in</strong>clud<strong>in</strong>g:• a climate monitor<strong>in</strong>g service us<strong>in</strong>g <strong>in</strong>tegrated<strong>and</strong> cross-calibrated data sets (<strong>in</strong>clud<strong>in</strong>g modeloutput);• a next generation reanalysis us<strong>in</strong>g historic datato better characterise <strong>and</strong> <strong>in</strong>terpret past, recent<strong>and</strong> current <strong>change</strong>s;• a portal for climate <strong>in</strong>dicators provid<strong>in</strong>g global<strong>and</strong> <strong>Europe</strong>an climate trends which give amore <strong>in</strong>formed <strong>in</strong>dication of what <strong>change</strong>s areoccurr<strong>in</strong>g;• an attribution service which delivers tools <strong>and</strong>results for <strong>in</strong>terpretation of extreme events <strong>in</strong>terms of climate <strong>change</strong> or other causes;• cont<strong>in</strong>ued support for <strong>Europe</strong>'s contribution toGCOS.Currently, the <strong>Europe</strong>an Commission is fund<strong>in</strong>gvarious GMES climate-relevant projects <strong>in</strong>clud<strong>in</strong>gEURO4M (<strong>Europe</strong>an high resolution reanalyses) ( 120 )<strong>and</strong> ERA-CLIM (global reanalyses) ( 121 ).The ESA <strong>Climate</strong> Change Initiative (ESA-CCI ( 122 ))is an exist<strong>in</strong>g programme which is fund<strong>in</strong>g projectsto develop climate quality datasets of a number ofGCOS ECVs which are observable <strong>fr</strong>om satellites.The <strong>in</strong>itial set of 10 ECV projects which are alreadyfunded through the ESA-CCI are:• Atmosphere: Clouds; Ozone; Greenhouse Gases;Aerosols;• Mar<strong>in</strong>e: Sea Surface Temperature; Sea Level;Ocean Colour;• Terrestrial: Glaciers <strong>and</strong> Ice Caps; L<strong>and</strong> Cover;Fire.6.3 <strong>Climate</strong> <strong>change</strong> <strong>impacts</strong>,<strong>vulnerability</strong> <strong>and</strong> adaptationresearchIn the EU's FP7 (2007–2013) climate-relevantresearch ( 123 ) is dealt with across various themes.Targeted climate <strong>change</strong> research focuses on:• the Earth system <strong>and</strong> climate, <strong>and</strong> related abrupt<strong>change</strong>s;• natural <strong>and</strong> anthropogenic emissions;• the global carbon cycle;• greenhouse gases;• future climate;• the natural, social <strong>and</strong> economic <strong>impacts</strong> ofclimate <strong>change</strong>;• mitigation <strong>and</strong> adaptation strategies, <strong>in</strong>clud<strong>in</strong>gnovel responses to climate <strong>change</strong>;( 117 ) See http://www.gmes.<strong>in</strong>fo/ <strong>and</strong> http://ec.europa.eu/enterprise/policies/space/gmes.( 118 ) See http://ec.europa.eu/enterprise/policies/space/gmes/services/climate_<strong>change</strong>_conference_en.htm.( 119 ) See http://ec.europa.eu/enterprise/policies/space/files/gmes/climate-<strong>change</strong>-conf-hels<strong>in</strong>ki-june-2011/gmes_climateservice_draft_en.pdf.( 120 ) See http://www.euro4m.eu/<strong>in</strong>dex.html.( 121 ) See http://www.era-clim.eu.( 122 ) See http://www.esa-cci.org.( 123 ) See http://ec.europa.eu/research/environment/<strong>in</strong>dex_en.cfm?pg=climate.244 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Indicator <strong>and</strong> data needs• natural climate-related hazards such as floods,droughts, storms or forest fires;• climate <strong>change</strong> <strong>impacts</strong> on health.See for an overview of all climate <strong>change</strong> projects the<strong>Europe</strong>an Commission's website ( 124 ). Furthermore,<strong>Climate</strong>-ADAPT conta<strong>in</strong>s a database with all ma<strong>in</strong>EU FP6/FP7 projects over the past years deal<strong>in</strong>gwith climate <strong>change</strong> <strong>impacts</strong>, <strong>vulnerability</strong> <strong>and</strong>adaptation ( 125 ). The EU CIRCLE-2 ('<strong>Climate</strong> ImpactResearch & Response Coord<strong>in</strong>ation for a Larger<strong>Europe</strong>') ERA-NET project ( 126 ) conta<strong>in</strong>s an extensivedatabase on relevant national research activities.Although much research has been done on CC IVA,further research will be useful on a range ofquestions or issues that may need further attention,such as l<strong>in</strong>ks between mitigation <strong>and</strong> adaptation <strong>and</strong>societal transformation to susta<strong>in</strong>able development<strong>and</strong> a green economy.Horizon 2020 ( 127 ) is the EU f<strong>in</strong>ancial <strong>in</strong>strumentimplement<strong>in</strong>g the 'Innovation Union', a <strong>Europe</strong>2020 flagship <strong>in</strong>itiative. Priorities <strong>and</strong> researchfocus for Horizon 2020 are be<strong>in</strong>g discussed <strong>in</strong>2011/2012. <strong>Climate</strong> action is amongst the prioritiesidentified <strong>in</strong> the proposal by the <strong>Europe</strong>anCommission (2011 ( 128 )). At least 60 % of thetotal Horizon 2020 budget would be related tosusta<strong>in</strong>able development, the vast majority of thisexpenditure contribut<strong>in</strong>g to mutually re<strong>in</strong>forc<strong>in</strong>gclimate <strong>and</strong> environmental objectives. It is expectedthat around 35 % of the Horizon 2020 budget willbe climate‐related expenditure, which is for bothmitigation <strong>and</strong> adaptation together. The <strong>Europe</strong>anParliament <strong>and</strong> <strong>Europe</strong>an Council are discuss<strong>in</strong>gthe content <strong>and</strong> budget for Horizon 2020 <strong>and</strong> byend‐2013 adoption of legislative acts on Horizon2020 are expected.The concept of Jo<strong>in</strong>t Programm<strong>in</strong>g was <strong>in</strong>troducedby the <strong>Europe</strong>an Commission <strong>in</strong> 2008. It is one of the<strong>in</strong>itiatives for implement<strong>in</strong>g the <strong>Europe</strong>an ResearchArea (ERA ( 129 )). The aim of Jo<strong>in</strong>t Programm<strong>in</strong>gis to <strong>in</strong>crease the value of relevant national <strong>and</strong>EU research <strong>and</strong> development (R&D) fund<strong>in</strong>gby concerted <strong>and</strong> jo<strong>in</strong>t plann<strong>in</strong>g, implementation<strong>and</strong> evaluation of national research programmes.A Jo<strong>in</strong>t Programm<strong>in</strong>g Initiative 'Connect<strong>in</strong>g<strong>Climate</strong> Knowledge for <strong>Europe</strong>' (JPI <strong>Climate</strong> ( 130 ))was <strong>in</strong>itiated which will cover research related toimprov<strong>in</strong>g climate projections, climate services,societal transformation <strong>and</strong> decision support tools. Itwas launched by the <strong>Europe</strong>an Council <strong>in</strong> December2011 ( 131 ) (as part of the launch<strong>in</strong>g of five JPIs forresearch) <strong>and</strong> a range of recommended actions werementioned.( 124 ) See http://ec.europa.eu/research/environment/<strong>in</strong>dex_en.cfm?pg=projects&area=climate.( 125 ) See http://climate-adapt.eea.europa.eu/web/guest/research-projects.( 126 ) See http://www.circle-era.eu/np4/10.( 127 ) See http://ec.europa.eu/research/horizon2020/<strong>in</strong>dex_en.cfm?pg=h2020.( 128 ) See http://ec.europa.eu/research/horizon2020/pdf/proposals/communication_<strong>fr</strong>om_the_commission_-_horizon_2020_-_the_<strong>fr</strong>amework_programme_for_research_<strong>and</strong>_<strong>in</strong>novation.pdf#view=fit&pagemode=none.( 129 ) See http://ec.europa.eu/research/era/<strong>in</strong>dex_en.htm.( 130 ) See http://www.jpi-climate.eu.( 131 ) See http://www.consilium.europa.eu/uedocs/cms_Data/docs/pressdata/en/<strong>in</strong>tm/126583.pdf.<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012245


Abbreviations <strong>and</strong> acronyms7 Abbreviations <strong>and</strong> acronyms7.1 General abbreviations <strong>and</strong> acronymsTable 7.1 presents all abbreviations <strong>and</strong> acronymsused <strong>in</strong> this report, except for the acronyms offixed‐-time research projects that are presented <strong>in</strong>Table 7.2.Table 7.1Abbreviations <strong>and</strong> acronyms (except research projects)Acronym orabbreviationA1NameSee SRESReferenceA1BA1FIA1TA2AEISee SRESSee SRESSee SRESSee SRESAgri-environmental <strong>in</strong>dicatorAMAP Arctic Monitor<strong>in</strong>g <strong>and</strong> Assessment Programme http://www.amap.noAOGCMAR5(4)Atmosphere-Ocean Global Circulation ModelsIPCC Fifth (fourth) Assessment ReportASCAT EUMETSAT Advanced SCATterometer http://www.eumetsat.<strong>in</strong>t/Home/Ma<strong>in</strong>/Satellites/Metop/Instruments/SP_2010053161611647?l=enASTI Arctic Species Trend Index http://www.caff.is/astiB1B2BAMBUBSHCSee SRESSee SRESBus<strong>in</strong>ess-As-Might-Be-Usual scenarioBundesamt für Seeschifffahrt und Hydrographie (FederalMaritime <strong>and</strong> Hydrographic Agency, Germany)Carbonhttp://www.bsh.de/en/CAP Common Agricultural Policy http://ec.europa.eu/agriculture/capexpla<strong>in</strong>ed/<strong>in</strong>dex_en.htmCC IVA<strong>Climate</strong> <strong>change</strong> <strong>impacts</strong>, <strong>vulnerability</strong> <strong>and</strong> adaptationCCRA UK <strong>Climate</strong> Change Risk Assessment http://www.de<strong>fr</strong>a.gov.uk/environment/climate/government/risk-assessment/CDDCGCMCGE modelConsecutive Dry DaysCoupled General Circulation ModelComputable general equilibirium modelCH 4Methane<strong>Climate</strong>-ADAPT <strong>Europe</strong>an climate adaptation platform http://climate-adapt.eea.europa.eu/CMCCCO 2Cor<strong>in</strong>e L<strong>and</strong> CoverCentro Euro-Mediterraneo sui Cambienti Climatici, (Euro-Mediterranean Centre on <strong>Climate</strong> Change)Carbon dioxideCoord<strong>in</strong>ation of Information on the Environment L<strong>and</strong> Coverdatabasehttp://www.cmcc.it/246<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Abbreviations <strong>and</strong> acronymsAcronym orabbreviationNameReferenceCPR Cont<strong>in</strong>uous Plankton Recorder http://www.eea.europa.eu/data-<strong>and</strong>maps/data#c5=all&c11=l<strong>and</strong>use&c17=&c0=5&b_start=0CRED Centre for Research on the Epidemiology of Disasters http://www.cred.be/CSICTDCTICWDEEA Core Set of IndicatorsConductivity/Temperature/DepthCommunity Temperature IndexConsecutive Wet DaysDe<strong>fr</strong>a UK Department for Environment, Food <strong>and</strong> Rural Affairs http://www.de<strong>fr</strong>a.gov.uk/corporate/DFO Dartmouth Flood Observatory http://floodobservatory.colorado.edu/DGDirectorate General (of the <strong>Europe</strong>an Commission)DIVA Dynamic Interactive Vulnerability Assessment http://www.diva-model.net/DJFDMIDPSIREADEAPW<strong>in</strong>ter (months December, January, February)Danish Meteorological InstituteDrivers, Pressures, State, Impact, Responses <strong>in</strong>dicator<strong>fr</strong>ameworkExpected Annual DamagesExpected Annual Population exposedECDC <strong>Europe</strong>an Centre for Disease Prevention <strong>and</strong> Control http://www.ecdc.europa.euEcFEconomy First scenario (for water)ECHAM5 5th generation of the ECHAM general circulation model http://www.mpimet.mpg.de/en/science/models/echam/echam5.htmlECHAM5/MPI-OM1 A coupled global general circulation model http://www.mpimet.mpg.de/en/science/models.htmlECMWF <strong>Europe</strong>an Centre for Medium-Range Weather Forecasts http://www.ecmwf.<strong>in</strong>t/ECV GCOS Essential <strong>Climate</strong> Variables http://www.wmo.<strong>in</strong>t/pages/prog/gcos/<strong>in</strong>dex.php?name=Essential<strong>Climate</strong>VariablesEDO <strong>Europe</strong>an Drought Observatory (JRC) http://edo.jrc.ec.europa.eu/edov2/php/<strong>in</strong>dex.php?id=1000EEA <strong>Europe</strong>an Environment Agency http://www.eea.europa.eu/EEZExclusive Economic Zone (sea areas)EFFIS <strong>Europe</strong>an Forest Fire Information System (JRC) http://effis.jrc.ec.europa.eu/EM-DAT Emergency Events Database (CRED) http://www.emdat.be/ENFIN <strong>Europe</strong>an National Forest Inventory Network http://enf<strong>in</strong>.<strong>in</strong>fo/ENSOERAEl Niño-Southern Oscillation<strong>Europe</strong>an Research AreaESA <strong>Europe</strong>an Space Agency http://www.esa.<strong>in</strong>t/esaCP/<strong>in</strong>dex.htmlESA-CCI ESA <strong>Climate</strong> Change Initiative http://www.esa-cci.org/ESDMESPONETC-ACMEmpirical-statistical downscal<strong>in</strong>g modell<strong>in</strong>g<strong>Europe</strong>an Observation Network for Territorial Development <strong>and</strong>Cohesion<strong>Europe</strong>an Topic Centre on Air Pollution <strong>and</strong> <strong>Climate</strong> ChangeMitigationhttp://www.espon.eu/ma<strong>in</strong>/Menu_Programme/http://acm.eionet.europa.eu/ETC-BD <strong>Europe</strong>an Topic Centre on Biological Diversity http://bd.eionet.europa.eu/ETC-CCA<strong>Europe</strong>an Topic Centre on <strong>Climate</strong> Change <strong>impacts</strong>, <strong>vulnerability</strong><strong>and</strong> Adaptationhttp://cca.eionet.europa.eu/ETC-ICM <strong>Europe</strong>an Topic Centre on Inl<strong>and</strong>, Coastal <strong>and</strong> Mar<strong>in</strong>e waters http://icm.eionet.europa.eu/ETC-LUSIEU SDSEU-27EUMETSAT(Former) <strong>Europe</strong>an Topic Centre on L<strong>and</strong> Use <strong>and</strong> SpatialInformationEU Susta<strong>in</strong>able Development StrategyThe 27 Member States of the <strong>Europe</strong>an Union<strong>Europe</strong>an Organisation for the Exploitation of MeteorologicalSatelliteshttp://www.eumetsat.<strong>in</strong>t/Home/Ma<strong>in</strong>/AboutEUMETSAT/<strong>in</strong>dex.htm?l=enEurostat The Statistical Office of the <strong>Europe</strong>an Union http://ec.europa.eu/eurostat<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012247


Abbreviations <strong>and</strong> acronymsAcronym orabbreviationNameReferenceFAO The UN Food <strong>and</strong> Agriculture Organization http://www.fao.orgFoEFortress <strong>Europe</strong> scenario (for water)FP(5/6/7) EU's Framework Programme(s) for Research http://cordis.europa.eu/fp7/home_en.htmlFWIGCMCanadian Fire Weather Index (forest fires)General circulation modelGCOS Global <strong>Climate</strong> Observ<strong>in</strong>g System http://www.wmo.<strong>in</strong>t/pages/prog/gcos/<strong>in</strong>dex.php?name=AboutGCOSGDPGross domestic productGFCS Global Framework for <strong>Climate</strong> Services http://www.wmo.<strong>in</strong>t/pages/gfcs/<strong>in</strong>dex_en.phpGHGGreenhouse gas; the most important anthropogenic greenhousegases are carbon dioxide (CO 2), methane (CH 4), <strong>and</strong> nitrousoxide (N 2O)GISS NASA Goddard Institute for Space Studies http://www.giss.nasa.gov/GMES EU Global Monitor<strong>in</strong>g for Environment <strong>and</strong> Security http://www.gmes.<strong>in</strong>fo/GMSLGVAGlobal mean sea levelGross value addedHadCM3 Hadley Centre Coupled Model, version 3 http://www.metoffice.gov.uk/research/modell<strong>in</strong>g-systems/unified-model/climate-models/hadcm3HadCRUT3HadEXGridded dataset of global historical surface temperatureanomalies (Met Office, United K<strong>in</strong>gdom)Global l<strong>and</strong>-based climate extremes dataset (Met Office, UnitedK<strong>in</strong>gdom)http://www.metoffice.gov.uk/hadobs/hadcrut3/http://www.metoffice.gov.uk/hadobs/hadex/HadISST1 Hadley Centre Sea Ice <strong>and</strong> Sea Surface Temperature data set http://www.metoffice.gov.uk/hadobs/hadisst/HCHDDHIRHAMHadley Centre, United K<strong>in</strong>gdom Meteorological OfficeHeat<strong>in</strong>g degree dayRegional climate model (developed by the Danish MeteorologicalInstitute DMI)http://www.dmi.dk/eng/<strong>in</strong>dex/research_<strong>and</strong>_development/<strong>in</strong>troduction_climate.htmHORIZON 2020 The next EU Framework Programme for Research <strong>and</strong> Innovation http://ec.europa.eu/research/horizon2020/<strong>in</strong>dex_en.cfmHPA UK Health Protection Agency http://www.hpa.org.uk/IAEA International Atomic Energy Agency http://www.iaea.org/IAMICP ForestsIMAGEINGVIntegrated assessment model (of climate <strong>change</strong>)International Co-operative Programme on Assessment <strong>and</strong>Monitor<strong>in</strong>g of Air Pollution Effects on ForestsIntegrated Model to Assess the Global Environment (PBL, theNetherl<strong>and</strong>s)Istituto Nazionale di Geofisica e Vulcanologia, National Instituteon Geophysics <strong>and</strong> Volcanologyhttp://icp-forests.net/http://themasites.pbl.nl/imagehttp://www.<strong>in</strong>gv.it/en/IPCC Intergovernmental Panel on <strong>Climate</strong> Change http://www.ipcc.ch/IWTJJAJPIInl<strong>and</strong> waterway transportSummer (months June, July, August)Jo<strong>in</strong>t Programm<strong>in</strong>g InitiativeJRC The Jo<strong>in</strong>t Research Centre of the <strong>Europe</strong>an Commission http://ec.europa.eu/dgs/jrc/<strong>in</strong>dex.cfmKMNIKon<strong>in</strong>klijk Nederl<strong>and</strong>s Meteorologisch Instituut (RoyalNetherl<strong>and</strong>s Meteorological Institute)http://www.knmi.nlLISFLOOD GIS-based hydrological ra<strong>in</strong>fall-runoff-rout<strong>in</strong>g model (JRC) http://floods.jrc.ec.europa.eu/lisfloodmodelMAMSpr<strong>in</strong>g (months March, April, May)MARS/STAT Monitor<strong>in</strong>g Agriculture with Remote Sens<strong>in</strong>g database http://mars.jrc.ec.europa.eu/mars/Aboutus/The-MARS-UnitMERRAModern-Era Retrospective Analysis for Research <strong>and</strong> Applications(NASA)METNO Norwegian Meteorological Institute http://met.no/http://disc.sci.gsfc.nasa.gov/daac-b<strong>in</strong>/DataHold<strong>in</strong>gs.pl248 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Abbreviations <strong>and</strong> acronymsAcronym orabbreviationNameReferenceMLOST Merged L<strong>and</strong>-Ocean Surface Temperature Analysis (NOAA) http://www.ncdc.noaa.gov/ersst/merge.phpMO UK Meteorological Office http://www.metoffice.gov.uk/MOCAtlantic Meridional Overturn<strong>in</strong>g CirculationMOON Mediterranean Operational Oceanography Network http://www.moon-oceanforecast<strong>in</strong>g.eu/MSFDMSLN 2NAMEANAONAPEU Mar<strong>in</strong>e Strategy Framework DirectiveMean sea levelNitrogen (gas)National Account<strong>in</strong>g Matrix <strong>in</strong>clud<strong>in</strong>g Environmental AccountsNorth Atlantic OscillationNational Adaptation PlanNatCatSERVICE Natural catastrophe loss database (Munich RE) http://www.munichre.com/en/re<strong>in</strong>surance/bus<strong>in</strong>ess/non‐life/georisks/natcatservice/default.aspxNCDC NOAA National Climatic Data Center http://www.ncdc.noaa.gov/oa/ncdc.htmlNOAA US National Oceanic <strong>and</strong> Atmospheric Adm<strong>in</strong>istration http://www.noaa.gov/NFINMVOCNODUSNO xNPPNUSAPNUTS(2,3)National Forest <strong>in</strong>ventoryNon‐methane volatile organic compoundsGIS based software model which provides a tool for detailedanalysis of <strong>fr</strong>eight transportation over extensive multimodalnetworksNitrogen oxidesNet primary productionThe Management of Uncerta<strong>in</strong>ty <strong>and</strong> Quality <strong>in</strong> QuantitativeInformationNomenclature of Territorial Units for Statistics; NUTS2 = states/prov<strong>in</strong>ces; NUTS3 = regional areas, counties, districtshttp://www.nusap.net/http://epp.eurostat.ec.europa.eu/portal/page/portal/nuts_nomenclature/<strong>in</strong>troductionNWP Nairobi Work Programme (of the UNFCCC) http://unfccc.<strong>in</strong>t/adaptation/nairobi_work_programme/items/3633.phpO 2O 3Oxygen (gas)Ozone (gas)OECD The Organisation for Economic Co-operation <strong>and</strong> Development http://www.oecd.orgOHCOIEOcean heat contentOffice International des Epizooties (World Organisation forAnimal Health)http://www.oie.<strong>in</strong>t/OSI SAF EUMETSAT Satellite Application Facility on Ocean <strong>and</strong> Sea Ice http://www.osi-saf.org/PDOPacific decadal oscillationPERMOS Swiss Perma<strong>fr</strong>ost Monitor<strong>in</strong>g Network http://www.permos.ch/pHDecimal logarithm of the reciprocal of the hydrogen ion activity(measure of acidity)PIOMAS Pan Arctic Ice-Ocean Model<strong>in</strong>g <strong>and</strong> Assimilation System http://psc.apl.wash<strong>in</strong>gton.edu/wordpress/research/projects/projections-of-an-icedim<strong>in</strong>ished-arctic-ocean/data-piomas/PM 10PM 2.5Particles <strong>in</strong> the atmosphere with a diameter of less than or equalto a nom<strong>in</strong>al 10 micrometresParticles <strong>in</strong> the atmosphere with a diameter of less than or equalto a nom<strong>in</strong>al 2.5 micrometresPOLES Prospective Outlook on Long-term Energy Systems http://www.enerdata.net/enerdatauk/solutions/energy-models/poles-model.phpPoRppmPROVIAPolicy Rules scenario (for water)Parts per millionProgramme of Research on <strong>Climate</strong> Change Vulnerability,Impacts <strong>and</strong> Adaptationhttp://www.provia-climate<strong>change</strong>.org/HOME/tabid/55173/Default.aspxRACMO(2) Regional Atmospheric <strong>Climate</strong> Model (KNMI) http://www.knmi.nl/bibliotheek/knmipubTR/TR302.pdfRCMRegional climate model<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012249


Abbreviations <strong>and</strong> acronymsAcronym orabbreviationRCPNameRepresentative concentration pathwayReferenceRU GSL Rutgers University Global Snow Lab http://climate.rutgers.edu/snowcover/<strong>in</strong>dex.phpS550eSat-AltSDIGreenhouse gas emission scenario target<strong>in</strong>g stabilisation ofconcentrations at 550 ppm CO 2equivalentSatellite data (on sea level)Susta<strong>in</strong>able development <strong>in</strong>dicatorshttp://ec.europa.eu/clima/policies/<strong>in</strong>ternational/negotiations/future/docs/pm_summary2025_en.pdfSEBI 2010 Streaml<strong>in</strong><strong>in</strong>g <strong>Europe</strong>an 2010 Biodiversity Indicators http://ec.europa.eu/environment/nature/knowledge/eu2010_<strong>in</strong>dicators/<strong>in</strong>dex_en.htmSMOS Soil Moisture <strong>and</strong> Ocean Sal<strong>in</strong>ity mission (ESA) http://www.esa.<strong>in</strong>t/SPECIALS/smos/SOCSOERSOMSONSoil organic carbonEEA State of the Environment ReportSoil organic matterAutumn (months September, October, November)SRES IPCC Special Report on Emissions Scenarios http://www.ipcc.ch/ipccreports/sres/emission/<strong>in</strong>dex.php?idp=0SREXSSRSSTSuESWEIPCC Special Report on Manag<strong>in</strong>g the Risks of Extreme Events<strong>and</strong> Disasters to Advance <strong>Climate</strong> Change AdaptationSeasonal Severity Rat<strong>in</strong>g (<strong>in</strong>dex of forest fire risk)Sea surface temperatureSusta<strong>in</strong>ability Eventually scenario (for water)Snow water equivalenthttp://www.ipcc-wg2.gov/SREX/SYKE Suomen ympäristökeskus (F<strong>in</strong>nish Environment Institute) http://www.environment.fi/sykeTBETCITick-borne encephalitisTourism climatic <strong>in</strong>dexTERM Transport <strong>and</strong> Environment Report<strong>in</strong>g Mechanism http://www.eea.europa.eu/themes/transport/termUHIUrban heat isl<strong>and</strong> effectUNCCD United Nations Convention to Combat Desertification http://www.unccd.<strong>in</strong>t/en/Pages/default.aspxUNECE United Nations Economic Commission for <strong>Europe</strong> http://www.unece.org/UNFCCC United Nations Framework Convention on <strong>Climate</strong> Change http://unfccc.<strong>in</strong>t/USGS US Geological Survey http://www.usgs.gov/VBORNETVOLYVSL<strong>Europe</strong>an Network for Arthropod Vector Surveillance for HumanPublic HealthValue of a Life Year LostValue of a Statistical Lifehttp://www.vbornet.eu/WCC-3 World <strong>Climate</strong> Conference-3 http://www.wmo.<strong>in</strong>t/wcc3/page_en.phpWEIWFDWater Exploitation IndexWater Framework DirectiveWHO World Health Organization http://www.who.<strong>in</strong>tWISE Water Information System for <strong>Europe</strong> http://water.europa.eu/WMO World Meteorological Organization http://www.wmo.<strong>in</strong>t/WNVWSDXBTWest Nile Virus (disease-caus<strong>in</strong>g agent)Water scarcity <strong>and</strong> droughtExp<strong>and</strong>able bathythermograph (device to measure watertemperature at different depths)250 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


Abbreviations <strong>and</strong> acronyms7.2 Acronyms of research projectsTable 7.2 presents those research projects that areexplicitly mentioned <strong>in</strong> the text of this report. Manymore projects have contributed to the publicationscited <strong>in</strong> this report <strong>and</strong> to the data presented there<strong>in</strong>,but compilation of a complete overview was notfeasible.Table 7.2Acronyms of research projectsProject acronym Project name Website Fund<strong>in</strong>gACCESS Arctic <strong>Climate</strong> Change, Economy <strong>and</strong> Society http://www.access-eu.org FP7AdaptAlp Adaptation to <strong>Climate</strong> Change <strong>in</strong> the Alp<strong>in</strong>e Space http://www.adaptalp.org/ ERDFARISCC Adaptation of Railway In<strong>fr</strong>astructure to <strong>Climate</strong> Change http://www.ariscc.org/ <strong>Europe</strong>an RailcompaniesBaltAdaptcCASHhCEHAPISCIRCECIRCLE-2ClimAlpTourBaltic Sea Region<strong>Climate</strong> Change AdaptationStrategy<strong>Climate</strong> <strong>change</strong> <strong>and</strong> adaptation strategies for humanhealth <strong>in</strong> <strong>Europe</strong><strong>Climate</strong>, Environment <strong>and</strong> Health Action Plan <strong>and</strong>Information System<strong>Climate</strong> Change <strong>and</strong> Impact Research: the MediterraneanEnvironment<strong>Climate</strong> Impact Research & Response Coord<strong>in</strong>ation for aLarger <strong>Europe</strong><strong>Climate</strong> Change <strong>and</strong> its impact on tourism <strong>in</strong> the Alp<strong>in</strong>eSpacehttp://www.baltadapt.eu/http://ec.europa.eu/research/environment/pdf/env_health_projects/climate_<strong>change</strong>/clccashh.pdfhttp://www.euro.who.<strong>in</strong>t/climate<strong>change</strong> (not yetpublished)http://www.circeproject.eu/http://www.circle-era.eu/http://www.climalptour.eu/<strong>Climate</strong>Cost The Full cost of climate <strong>change</strong> http://www.climatecost.cc/ FP7ERDFFP5WHO, DGSANCOFP6ERDF<strong>Climate</strong>-TRAPClimSAVEClimWatAdaptCLISPTra<strong>in</strong><strong>in</strong>g, Adaptation, Preparedness of the Health CareSystem to <strong>Climate</strong> Change<strong>Climate</strong> Change <strong>in</strong>tegrated assessment methodology forcross-sectoral adaptation <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong><strong>Climate</strong> adaptation — modell<strong>in</strong>g water scenarios <strong>and</strong>sectoral <strong>impacts</strong><strong>Climate</strong> Change Adaptation by Spatial Plann<strong>in</strong>g <strong>in</strong> theAlp<strong>in</strong>e Spacehttp://www.climatetrap.eu/http://www.climsave.eu/climsave/<strong>in</strong>dex.htmlhttp://www.climwatadapt.eu/http://www.clisp.eu/content/?q=node/2Conscience Concepts <strong>and</strong> Science for Coastal Erosion management http://www.conscience-eu.net/ FP6COST725Establish<strong>in</strong>g a <strong>Europe</strong>an Phenological Data Platform forClimatological Applicationshttp://topshare.wur.nl/cost725/EAHCFP7DG ENVERDFFP7 COSTCryoClim Monitor<strong>in</strong>g <strong>Climate</strong> Change <strong>in</strong> the Cryosphere http://www.cryoclim.net NSC <strong>and</strong> ESADeduce Susta<strong>in</strong>able development of <strong>Europe</strong>an coastal zones http://www.deduce.eu/ Interreg IIICSouthECA&D <strong>Europe</strong>an <strong>Climate</strong> Assessment & Dataset project http://eca.knmi.nl/ KNMI, EC,EUMETNETECCONETEffects of climate <strong>change</strong>on the <strong>in</strong>l<strong>and</strong> waterway networkshttp://www.ecconet.euEDEN Emerg<strong>in</strong>g Diseases <strong>in</strong> a chang<strong>in</strong>g <strong>Europe</strong>an eNvironment http://www.eden-fp6project.net/ FP6EDENext Biology <strong>and</strong> control of vector-borne <strong>in</strong>fections <strong>in</strong> <strong>Europe</strong> http://www.edenext.eu/ FP7emBRACE Build<strong>in</strong>g Resilience Amongst Communities <strong>in</strong> <strong>Europe</strong> http://embrace-eu.org/ FP7ENSEMBLES ENSEMBLES http://www.ensembles-eu.org/ FP6ERA-CLIMESPON <strong>Climate</strong>ESPON-DEMIFER<strong>Europe</strong>an Reanalysis of Global <strong>Climate</strong> Observations(GMES)<strong>Climate</strong> Change <strong>and</strong> Territorial Effects on Regions <strong>and</strong>Local EconomiesDemographic <strong>and</strong> Migratory Flows Affect<strong>in</strong>g <strong>Europe</strong>anRegions <strong>and</strong> Citieshttp://www.era-clim.eu/http://www.espon.eu/ma<strong>in</strong>/Menu_Projects/Menu_AppliedResearch/climate.htmlhttp://www.espon.eu/ma<strong>in</strong>/Menu_Projects/Menu_AppliedResearch/demifer.htmlEURO4M <strong>Europe</strong>an Reanalysis <strong>and</strong> Observations for Monitor<strong>in</strong>g http://www.euro4m.eu/ GMES, FP7FP7EUERDFERDF<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012251


Abbreviations <strong>and</strong> acronymsProject acronym Project name Website Fund<strong>in</strong>gEuro-Argo <strong>Europe</strong>an contribution to Argo program http://www.euro-argo.eu/ FP7 ESFRIEuroMOMO The <strong>Europe</strong>an Mortality Monitor<strong>in</strong>g Project http://www.euromomo.eu/ DG SANCOEurosionEWENT<strong>Europe</strong>an <strong>in</strong>itiative for susta<strong>in</strong>able coastal erosionmanagementExtreme weather <strong>impacts</strong> on <strong>Europe</strong>an networks oftransporthttp://www.eurosion.org/http://ewent.vtt.fi/about.htmJRA-25 Japanese 25-year Reanalysis Project http://www.jreap.org/<strong>in</strong>dexe.htmlMEDIATIONMethodology for Effective Decision-mak<strong>in</strong>g on Impacts<strong>and</strong> AdaptaTionhttp://mediation-project.eu/DG ENVMyOcean Ocean Monitor<strong>in</strong>g <strong>and</strong> Forecast<strong>in</strong>g http://www.myocean.eu FP7, GMESNCEP CFSRNational Centers for Environmental Prediction <strong>Climate</strong>Forecast SystemReanalysishttp://cfs.ncep.noaa.gov/cfsr/PACE Perma<strong>fr</strong>ost <strong>and</strong> <strong>Climate</strong> <strong>in</strong> <strong>Europe</strong> http://www.geo.uzh.ch/~hoelzle/pace.htmlPESETAProjection of Economic <strong>impacts</strong> of climate <strong>change</strong> <strong>in</strong>Sectors of the <strong>Europe</strong>an Union based on boTtom-upAnalysishttp://peseta.jrc.ec.europa.eu/PLUREL Peri-urban L<strong>and</strong> Use Relationships http://www.plurel.net/ FP6PRUDENCERESPONSESPrediction of Regional scenarios <strong>and</strong> Uncerta<strong>in</strong>ties forDef<strong>in</strong><strong>in</strong>g <strong>Europe</strong>aN <strong>Climate</strong> <strong>change</strong> risks <strong>and</strong> Effects<strong>Europe</strong>an responses to climate <strong>change</strong>: deep emissionsreductions <strong>and</strong> ma<strong>in</strong>stream<strong>in</strong>g of mitigation <strong>and</strong>adaptationhttp://prudence.dmi.dkhttp://www.responsesproject.eu/SCENES Water Scenarios for <strong>Europe</strong> <strong>and</strong> for Neighbour<strong>in</strong>g States http://www.environment.fi/syke/scenesWEATHERWeather Extremes: Impacts on Transport Systems <strong>and</strong>Hazards for <strong>Europe</strong>an Regionshttp://www.weather-project.euFP7JMAFP7NOAAEUJRCFP5FP7FP6FP7252 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> 2012


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