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Climate change, impacts and vulnerability in Europe ... - MemoFin.fr

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<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

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