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The influence of climate change, technological progress and political change on agricultural land use: calculated scenarios for the Upper Danube catchment area


  • Henseler, Martin
  • Wirsig, Alexander
  • Krimly, Tatjana
  • Dabbert, Stephan


Both climate and agricultural policy changes are commonly seen as important drivers for agricultural production. In this study, scenarios of climate and political change were calculated for the Upper Danube catchment area using the regional optimization model ACRE. Two political scenarios were calculated for the year 2020. One scenario assumes the continuation of the Common Agricultural Policy reform 2003 the other assumes a strong shift away from payments of the first pillar to payments of the second pillar of the CAP. Both scenarios were combined with four different scenarios of climate change and technological progress derived from ICCP SRES assumptions and the ACCELERATES project. The results of the scenario calculations were analysed with respect to their implications for the whole catchment area as well as for selected districts. Climate change and technological progress both cause small changes in agricultural land use: fodder crop area tends to be converted to cash crop area, and intensive grasslands tend to be converted into extensive grasslands. Climate change and technological progress increase crop productivity, and consequently, total gross margin increases. The impact of climate change might get stronger toward the end of the century which is beyond the scope of the investigations presented here. The impact of climate change might thus switch from bringing net benefits in the short to medium term to bringing net losses for the area investigated in the long run.

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  • Henseler, Martin & Wirsig, Alexander & Krimly, Tatjana & Dabbert, Stephan, 2008. "The influence of climate change, technological progress and political change on agricultural land use: calculated scenarios for the Upper Danube catchment area," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(03-04), pages 1-13.
  • Handle: RePEc:ags:gjagec:97594
    DOI: 10.22004/ag.econ.97594

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    References listed on IDEAS

    1. Ottmar Röhm & Stephan Dabbert, 2003. "Integrating Agri-Environmental Programs into Regional Production Models: An Extension of Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 254-265.
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    1. Henseler, Martin & Dechow, Rene, 2014. "Simulation of regional nitrous oxide emissions from German agricultural mineral soils: A linkage between an agro-economic model and an empirical emission model," Agricultural Systems, Elsevier, vol. 124(C), pages 70-82.
    2. Henseler, Martin & Wirsig, Alexander & Herrmann, Sylvia & Krimly, Tatjana & Dabbert, Stephan, 2009. "Modeling the impact of global change on regional agricultural land use through an activity-based non-linear programming approach," Agricultural Systems, Elsevier, vol. 100(1-3), pages 31-42, April.

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