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Bojar, W., Sinabell, F., & Verburg, R. (2012). Inventarisation of TradeM models..
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Bojar, W., Sinabell, F., & Verburg, R. (2013). Economic and Trade Models to Analyze Climate Change Risk and Food Security for European Agriculture – A Survey..
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Boote, K. J., Porter, C., Jones, J. W., Thorburn, P. J., Kersebaum, K. C., Hoogenboom, G., et al. (2015). Sentinel site data for crop model improvement – definition and characterization. In J. L. Hatfield, & D. Fleisher (Eds.), (Vol. Advances in Agricultural Systems Modeling (7)). Madison, WI: ASA, CSSA, and SSSA.
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Brouwer, F. (2013). Objectives of MACSUR project and TradeM theme..
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Brouwer, F., & Sinabell, F. (2015). Three years of collaboration in TradeM – Agricultural markets and prices. In FACCE MACSUR Reports (Vol. 6, pp. SP6–4). Brussels.
Abstract: 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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