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Schönhart, M. |
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Case 1: Integrated assessment of climate change mitigation and adaptation trade-offs in Austria |
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2016 |
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Presentation SC 2.10 Farming systems. Case 1: Integrated assessment of climate change mitigation and adaptation trade-offs in Austria, Martin Schönhart, Universität für Bodenkultur Wien, Austria (2016). Presented at the international conference Adaptation Futures 2016, Rotterdam, the Netherlands. No Label |
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Rotterdam (Netherlands) |
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AdaptationFutures 2016, 10-13 May 2016, Rotterdam |
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MA @ admin @ |
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2804 |
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Sinabell, F.; Schönhart, M.; Schmid, E. |
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Austrian Agriculture 2010-2050. Quantitative Effects of Climate Change Mitigation Measures. An analysis of the scenarios WEM, WAM, WAM+ and a sensitivity analysis of scenario WEM |
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2015 |
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Studie des Österreichischen Instituts für Wirtschaftsforschung im Auftrag des Umweltbundesamts |
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Vienna, Austria |
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Österreichisches Institut für Wirtschaftsforschung |
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TradeM |
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MA @ admin @ |
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5017 |
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Author |
Schönhart, M. |
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Analysis of climate change adaptation with bio-economic farm models: lessons from MACSUR regional pilot studies |
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2015 |
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FACCE MACSUR Reports |
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5 |
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Sp5-58 |
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Integrated land use models (ILM) featuring agronomic and economic drivers of land use are frequently applied to serve the high information demand of stakeholders. This presentation results from collaboration among bio-economic farm modelers across the MACSUR regional pilot studies (www.macsur.eu) and shall compare and finally reveal good practice examples on the representation of climate change adaptation in bio-economic farm models. First results show a considerable diversity of approaches employed in the MACSUR regional pilot studies. All are programming models that optimize more or less elaborated forms of utility. All consider or plan to consider crop yield impacts from bio-physical crop models based on daily-resolution climate data. While some models include pest and diseases or livestock impacts, none take climate change impacts on market prices or interactions among farms into account so far. Clearly, adaptation options determine the solution space and are mainly expert-based in the regional case studies. Overall, the models are normative and analyze economically rational and optimal land use and management at the farm level, capable of showing the likely direction of differences in future management as a response to exogenous parameter changes (prices, yields, disease pressure, changed policy conditions, etc.). Such detailed models and their results may be applied in stakeholder interaction. Integrating the different direct and indirect effects of climate change, including the policy dimension, is the main contribution of farm level modelling of agricultural systems in the domain of climate change adaptation research. No Label |
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MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK |
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MA @ admin @ |
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2173 |
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Schönhart, M.; Mitter, H.; Schmid, E.; Heinrich, G.; Gobiet, A. |
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An integrated analysis on Austrian agriculture: Climate change impacts and adaptation measures |
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2013 |
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TradeM |
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4th Annual AgMIP Workshop, New York, USA, 2013-10-28 to 2013-10-30 |
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MA @ admin @ |
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2806 |
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Mitter, H.; Schönhart, M.; Meyer, I.; Mechtler, K.; Schmid, E.; Sinabell, F.; Bachner, G. |
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Agriculture |
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2015 |
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TradeM |
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Springer |
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Vienna |
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Steiniger, K.; König, M. |
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Cost of Inaction in Austria |
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MA @ admin @ |
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2652 |
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