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Kirchner, M.; Schmid, E.; Mitter, H.; Schönhart, M. |
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Title |
Modeling the Impacts of Climate Change and Market Integration on Agricultural Production and Land Use Management in Austria |
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2015 |
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IIASA Interim Report Young Scientists Summer Program |
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TradeM C6 - |
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MA @ admin @ |
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2065 |
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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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5017 |
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Schmid, E. |
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Integrated land use modelling — a course for doctoral students |
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2017 |
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FACCE MACSUR Reports |
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10 |
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T4.1-4.2-XC4.3-4.4-D |
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The course on “Integrated land use modelling” took place at BOKU Vienna between 24. – 28. April 2017. It was a five-days course capturing many aspects in quantitative integrated land use modelling using GAMS (see course outline). 10 students have participated the course coming from several countries. Students finishing the course have received 3 ECTS points. The course was offered by BOKU and the Doctoral Certificate Program in Agricultural Economics (https://www.agraroekonomik.de/index.html ). |
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MA @ admin @ |
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5036 |
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Sinabell, F.; Schmid, E.; Schönhart, M. |
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Landwirtschaft und Klimawandel: Konsequenzen für die österreichische Landwirtschaft auf der Grundlage internationaler Forschungsergebnisse |
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Ländlicher Raum |
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MA @ admin @ |
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2840 |
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Rosenzweig, C.; Elliott, J.; Deryng, D.; Ruane, A.C.; Müller, C.; Arneth, A.; Boote, K.J.; Folberth, C.; Glotter, M.; Khabarov, N.; Neumann, K.; Piontek, F.; Pugh, T.A.; Schmid, E.; Stehfest, E.; Yang, H.; Jones, J.W. |
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Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison |
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2014 |
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Proceedings of the National Academy of Sciences of the United States of America |
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Proc. Natl. Acad. Sci. U. S. A. |
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111 |
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9 |
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3268-3273 |
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Agriculture/*methods/statistics & numerical data; *Climate Change; Computer Simulation; Crops, Agricultural/*growth & development; Forecasting; Geography; *Models, Theoretical; Nitrogen/*analysis; Risk Assessment; Temperature; AgMIP; Isi-mip; agriculture; climate impacts; food security |
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Here we present the results from an intercomparison of multiple global gridded crop models (GGCMs) within the framework of the Agricultural Model Intercomparison and Improvement Project and the Inter-Sectoral Impacts Model Intercomparison Project. Results indicate strong negative effects of climate change, especially at higher levels of warming and at low latitudes; models that include explicit nitrogen stress project more severe impacts. Across seven GGCMs, five global climate models, and four representative concentration pathways, model agreement on direction of yield changes is found in many major agricultural regions at both low and high latitudes; however, reducing uncertainty in sign of response in mid-latitude regions remains a challenge. Uncertainties related to the representation of carbon dioxide, nitrogen, and high temperature effects demonstrated here show that further research is urgently needed to better understand effects of climate change on agricultural production and to devise targeted adaptation strategies. |
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2016-10-31 |
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English |
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1091-6490 (Electronic) 0027-8424 (Linking) |
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CropM |
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MA @ admin @ |
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4801 |
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