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ateam - Potsdam Institute for Climate Impact Research

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ATEAM final report Section 5 and 6 (2001-2004) 15<br />

The variation in temperature and precipitation between scenarios and the variation between the<br />

seasons increase significantly in the second half of the 21 st century. The variations between the climate<br />

models is different between the scenarios. For the high emission scenario A1f, the variation between<br />

climate models is approximately equally high as the variation between climate projection <strong>for</strong> all other<br />

emission scenarios (Figure 3).<br />

A Tyndall working paper on the methodology and results has been published by Mitchell et al.(2004)<br />

and will be split into two parts <strong>for</strong> submission to peer-reviewed journals. Furthermore, the paper by<br />

Erhard et al. which is currently being prepared <strong>for</strong> the ATEAM special issue will deal with the climate<br />

scenarios in some detail (see Annex 2).<br />

6.2.1.3 Land use change scenarios<br />

Future land uses were constructed <strong>for</strong> the high priority scenarios given in Table 2 and <strong>for</strong> A2 CGCM2<br />

and A2 CSIRO2 (medium priority), based on an interpretation of the four SRES marker scenarios. The<br />

interpretation was undertaken by first defining the range of drivers that will affect different land use types<br />

within Europe: urban, agriculture (cropland, grassland and biofuels), <strong>for</strong>estry and designated areas.<br />

The approach recognises three levels in the derivation of land use scenarios that move from qualitative<br />

descriptions of global socio-economic storylines, over European sector driving <strong>for</strong>ces (see Table 3), to<br />

quantitative projections of regional land use change. For each land use category the methodology<br />

broadly followed the same steps. First an assessment was made of the total area requirement (quantity)<br />

of each land use, as a function of changes in the relevant drivers. This was based on outputs from the<br />

global scale IMAGE 2.2 Integrated Assessment Model on commodity demands at the European scale<br />

(IMAGE team, 2001). Second, scenario-specific spatial allocation rules were developed and applied to<br />

locate these land use quantities in geographic space across Europe. Third and finally, the scenarios of<br />

the broad land use types were post-processed to maintain the land use constant in designated areas<br />

(<strong>for</strong> conservation or recreation goals). This approach was implemented using a range of techniques that<br />

were specific to each land use, including reviews of the literature, expert judgement, and modelling.<br />

Widespread consultation was undertaken with other experts in this field, as well as with stakeholders.<br />

For a detailed description of the methodology refer to Rounsevell et al. 2003. (A summary of the<br />

European land use change scenarios – version 2.0, pp. 38. Report, see Annex 2). The land use<br />

scenarios reflect changes both in the physical environment (climate change) with concurrent changes in<br />

socio-economic factors. The result is an original dataset and maps of Europe <strong>for</strong> each scenario and <strong>for</strong><br />

each land use type.<br />

European level sectoral driving <strong>for</strong>ces<br />

Sector-specific driving <strong>for</strong>ces <strong>for</strong> Europe <strong>for</strong> each land use type were developed from the global level<br />

driving <strong>for</strong>ces taken from IMAGE 2.2 (see above). This was based on an interpretation of the SRES<br />

narrative storylines <strong>for</strong> the European region using, where appropriate, knowledge of past and present<br />

European and national policy. For some land use types (e.g. <strong>for</strong>estry, protected areas), it was necessary<br />

to identify distinct regional trends in driving <strong>for</strong>ces based on countries or country groups. The regional<br />

trends themselves may also differ between scenarios. An important aspect of the European level<br />

qualitative descriptions was to provide a check of internal consistency between each of the land use<br />

sectors and storylines. In this way, the assumptions that were used, <strong>for</strong> example, <strong>for</strong> urban land use<br />

were not in conflict with those <strong>for</strong> agriculture. A summary of the European level qualitative descriptions<br />

is given in Table 3.

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