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Mendes, L.B.; Herrero, M.; Havlík, P.; Mosnier, A.; Balieiro, S.F.; Moreira, R.E.M.; Obersteiner, M. |
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Simulation of enteric methane emissions from individual beef cattle in tropical pastures of improving quality: a case study with the model RUMINANT |
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2016 |
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Advances in Animal Biosciences |
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Advances in Animal Biosciences |
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7 |
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03 |
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233-234 |
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2040-4700 |
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LiveM, ft_macsur |
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no |
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MA @ admin @ |
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4873 |
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van der Linden, A.; van de Ven, G.W.J.; Oosting, S.J.; van Ittersum, M.K.; de Boer, I.J.M. |
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Title |
Exploring grass-based beef production under climate change by integration of grass and cattle growth models |
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Journal Article |
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Year |
2016 |
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Advances in Animal Biosciences |
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Advances in Animal Biosciences |
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7 |
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03 |
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224-226 |
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2040-4700 |
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LiveM, ft_macsur |
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MA @ admin @ |
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4877 |
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Brouwer, F.; Sinabell, F. |
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Three years of collaboration in TradeM – Agricultural markets and prices |
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Conference Article |
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2015 |
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FACCE MACSUR Reports |
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6 |
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SP6-4 |
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Some farmers may claim that climate change adaptation is easy compared to the difficulties caused by policiesAction based on weather observations only, is insufficient for farmers to respond to climate change. Researchers need support from farmers in understanding the responses in practice.Policies might be too slow to respond to needs for change in agriculture. Winners and losers seem to be observed everywhere.The impacts of climate change is heterogeneous among farm types and regionsEffects beyond 2050 remain largely unclear, mainly because the effects of extreme events are not consideredVariability of yields is important to farm incomes, but most studies only consider average changesFarmers are ready to design their site-specific adaptation response providing that new knowledge and learning spaces are available. A learning process based on integrated models, assessment of short- and long-term effects, is needed for farmers to adapt to climate change, price fluctuations and policy change. No Label |
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Brussels |
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Climate-change impacts on farming systems in the next decades: Why worry when you have CAP? A FACCE MACSUR workshop for policymakers |
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no |
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MA @ admin @ |
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2343 |
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Köchy, M.; Jorgenson, J.; Braunmiller, K. |
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Overview of case studies |
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2015 |
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FACCE MACSUR Reports |
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6 |
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D-H2.1 |
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MACSUR comprises 18 regional case studies for analysing the effects of climate change on agriculture with integrated inter-disciplinary models. Three case studies in Finland, Austria, and Italy have been selected as pilot studies because of their advancement in integration and representation of European farming systems and regions. No Label |
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MA @ admin @ |
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2116 |
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Bellocchi, G.; Sándor, R. |
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Model intercomparison |
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2015 |
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FACCE MACSUR Reports |
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6 |
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D-L2.4 |
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This deliverable focuses on some illustrative results obtained with different grassland- specific, grassland adapted crop and dynamic vegetation models selected out of the first list of models compiled in D-L2.1.1 to simulate biomass and flux data from grassland sites in Europe and peri-Mediterranean regions (D-L2.1.1 and D-L2.1.2). Results from uncalibrated simulations were documented in the D-L2.3 report as a blind exercise. Some model improvements are emphasized in this report due to the higher information level of the model calibrations. The complete set of results will include simulations from uncalibrated and calibrated models. No Label |
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MA @ admin @ |
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2108 |
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