ateam - Potsdam Institute for Climate Impact Research
ateam - Potsdam Institute for Climate Impact Research
ateam - Potsdam Institute for Climate Impact Research
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ATEAM final report Section 5 and 6 (2001-2004) 11<br />
IPCC Special Report of Emission Scenarios (SRES) A1f, A2, B1 and B2. We used four different general<br />
circulation models to simulate possible climatic changes resulting from these four emission scenarios.<br />
We then developed a set of land use and nitrogen deposition scenarios that are linked to the climate<br />
scenarios and the socio-economics derived from the SRES storylines. This resulted in a consistent set<br />
of scenarios at high spatial resolution <strong>for</strong> the main global change drivers in Europe (10’ x 10’ grid<br />
resolution over EU15 plus Norway and Switzerland, baseline 1990, future time slices 2020, 2050, 2080).<br />
Europe’s managed ecosystems are sensitive to the exposure to these environmental changes. The<br />
resulting potential impacts (red box, Figure 1) are changes in ecosystem service supply. Humans can<br />
be vulnerable to such potential impacts because they rely on ecosystem services. In ATEAM, we model<br />
potential impacts using the input scenarios of global change and a range of state-of-the-art ecosystem<br />
models that represent the sensitivity of the human-environment system. The ecosystem services<br />
considered in the ATEAM project are listed in Table 1. In a stakeholder-guided process we selected a<br />
range of indicators <strong>for</strong> ecosystem services that are related to the sectors agriculture, <strong>for</strong>estry, carbon<br />
storage and energy, water, biodiversity and nature conservation, and mountains 8 . Different ecosystem<br />
modelling techniques are used <strong>for</strong> different sectors and environments, but all ecosystem models, use<br />
the same input scenarios, i.e. climate change scenarios, land use change scenarios, and, in some<br />
cases, nitrogen deposition scenarios.<br />
To obtain a dimension of the third element of vulnerability, adaptive capacity (green box, Figure 1), we<br />
developed a spatially explicit and quantitative generic index of adaptive capacity (macro-scale: province<br />
level). This index is based on six determinants which were identified by the IPCC Third Assessment<br />
Report: power, flexibility, freedom, motivation, knowledge and urgency. For these determinants we<br />
selected twelve indicators such as gross domestic product, female activity rate, age structure, literacy<br />
index and urbanisation. We used projections of socio-economic variables (gross domestic product and<br />
population) and regression analysis with historic data of the indicators to obtain future projections.<br />
Fuzzy inference rules were then applied to aggregate the individual indicator values into one generic<br />
measure of adaptive capacity per spatial unit. The resulting generic index captures one of many<br />
dimensions of adaptive capacity. Elements of adaptive capacity furthermore enter the assessment with<br />
the land use scenarios (which consider assumptions about decision-making in a socio-economic and<br />
policy context) as well as with those ecosystem models that include human management (e.g.<br />
agricultural and <strong>for</strong>estry models).<br />
How were these elements (exposure and sensitivity, resulting potential impacts and adaptive capacity)<br />
integrated into maps of vulnerability (blue box, Figure 1)? Empirical and theoretical evidence of how<br />
potential impacts and adaptive capacity can be combined into measures of vulnerability is very limited.<br />
There<strong>for</strong>e, we created a visual combination of these elements without quantifying a specific relationship.<br />
The resulting maps illustrate vulnerability in terms of negative potential impacts and limited adaptive<br />
capacity. All results are made available to stakeholders in <strong>for</strong>m of a digital atlas (spatially and temporal<br />
explicit maps of Europe) of exposures, potential impacts, adaptive capacity and a dimension of<br />
vulnerability. This tool allows comparison of scenarios, time slices and regions <strong>for</strong> each ecosystem<br />
service indicator. The maps are accompanied by careful documentation of the underlying assumptions<br />
and limitations of the approach. This digital atlas of Europe adds to the basis <strong>for</strong> discussion between<br />
different stakeholders and policy makers, thereby facilitating sustainable management of Europe’s<br />
natural resources under global change.<br />
Stakeholders were involved in the project from the very beginning <strong>for</strong> a more appropriate assessment of<br />
vulnerability (grey bar, Figure 1). In a number of workshops and through other interactions we discussed<br />
our approach with stakeholders from private sectors and with policy makers. The general objective of<br />
this dialogue was to facilitate a more appropriate assessments of ecosystem vulnerability, i.e. to<br />
8 “Mountains” is a type of environment, rather than a sector. Due to the unique nature of mountain system, we have<br />
nevertheless considered mountains in particular, focusing especially on mountain ecosystem services to the tourism sector.