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Mitter, H.; Sinabell, F.; Schmid, E. |
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Title |
Impacts of climate and policy change on Austrian protein crop supply balances |
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2015 |
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Jahrbuch der ÖGA |
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23 |
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131-140 |
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23. ÖGA Jahrestagung gemeinsam mit der 41. SGA-Jahrestagung “Grenzen der Qualitätsstrategie im Agrarsektor”, 2013-09-12 to 2013-09-14, Zürich |
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TradeM |
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no |
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MA @ admin @ |
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5030 |
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Author |
Sinabell, F.; Heinschink, K.; Tribl, C. |
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Title |
Explicit cost accounting for analyses on climate change adaptation, mitigation and ecosystem service provision in agriculture |
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2016 |
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Sauvage, S.; Sánchez-Pérez, J.M.; Rizzoli, A.E. |
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8th International Congress on Environmental Modelling and Software |
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8th International Congress on Environmental Modelling and Software, 2016-07-10 to 2016-07-14, Toulouse, France |
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TradeM |
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MA @ admin @ |
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5031 |
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Biewald, A.; Sinabell, F.; Lotze-Campen, H.; Zimmermann, A.; Lehtonen, H. |
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Title |
Global Representative Agricultural Pathways for Europe |
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Report |
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2017 |
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FACCE MACSUR Reports |
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10 |
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T1.2-XC16.2 |
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Agricultural elements have been covered in the scenario process on shared socio-economic pathways (SSPs) incompletely and pathways have not been specified for the future development of the European Union. We will therefore devise a general framework on European Representative Agricultural Pathways (EU-RAPs), where we cover different aspects of agricultural development, as for example European and domestic agricultural and environmental policies, or different livestock and crop management systems, and describe future developments of the confederation of the countries of the European Union. For the agricultural elements we distinguish between elements that can be derived from the definitions in the Shared Socioeconomic Pathways, as for example irrigation efficiencies which are linked to technological development, and elements that have to be newly devised such as the development of the Common Agricultural Policy. For the future of the European Union we develop five different worlds which correspond to the SSPs. Finally both frameworks are combined. |
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TradeM |
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MA @ admin @ |
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5034 |
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Banse, M.; Brouwer, F.; Palatnik, R.R.; Sinabell, F. |
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Title |
The Economics of European Agriculture under Conditions of Climate Change (Editorial) |
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2014 |
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German Journal of Agricultural Economics |
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German Journal of Agricultural Economics |
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63 |
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3 |
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131-132 |
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This Special Issue on “The Economics of European Agriculture under Conditions of Climate Change” brings together a selection of papers that contribute to the understanding of recent developments related to agriculture and climate change in four European coun- tries. The focus of the Special Issue is on quantitative modeling and empirical analyses. The papers presented here not only cover the heterogeneity of agriculture in Europe with case studies from the Mediterranean (Italy), central (Austria) and north-western Europe (Ireland and Scotland) but also give insights into the diversity of quantitative modeling approaches in agriculture. |
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English |
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Editorial material |
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TradeM, ft_macsur |
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MA @ admin @ |
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4763 |
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Author |
Mitter, H.; Schmid, E.; Sinabell, F. |
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Title |
Integrated modelling of protein crop production responses to climate change and agricultural policy scenarios in Austria |
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Journal Article |
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Year |
2015 |
Publication |
Climate Research |
Abbreviated Journal |
Clim. Res. |
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65 |
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205-220 |
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Climate change impact; Adaptation; Soybean; EPIC; Common Agricultural Policy; Land use |
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Abstract |
Climate and policy changes are likely to affect protein crop production and thus trade balances in Europe, which is highly dependent on imports. Exemplified for Austrian cropland, we developed an integrated modelling framework to analyze climate change and policy scenario impacts on protein crop production and environmental outcomes. The integrated modelling framework consists of a statistical climate change model, a crop rotation model, the bio-physical process model EPIC, and the economic bottom-up land use optimization model BiomAT. EPIC is applied to simulate annual dry matter crop yields for different crop management practices including crop rotations, fertilization intensities, and irrigation, as well as for 3 regional climate change scenarios until 2040 at a 1 km grid resolution. BiomAT maximizes total gross margins by optimizing land use choices and crop management practices subject to spatially explicit cropland endowments. The model results indicate that changes in agricultural policy conditions, cropland use, and higher flexibility in crop management practices may reduce protein import dependence under changing climatic conditions. Expanding protein crop production is most attractive in south-eastern Austria with its Central European continental climate where maize is most often replaced in crop rotations. However, the acreage of protein crops is limited by agronomically suitable cropland. An intended side effect is the reduction of nitrogen fertilizer inputs by about 0.1% if total protein crop production increases by 1%. |
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0936-577x |
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TradeM, ft_macsur |
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MA @ admin @ |
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5012 |
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