Bindi, M., Palosuo, T., Trnka, M., & Semenov, M. A. (2015). Modelling climate change impacts on crop production for food security INTRODUCTION. Clim. Res., 65, 3–5.
Abstract: Process-based crop models that synthesise the latest scientific understanding of biophysical processes are currently the primary scientific tools available to assess potential impacts of climate change on crop production. Important obstacles are still present, however, and must be overcome for improving crop modelling application in integrated assessments of risk, of sustainability and of crop-production resilience in the face of climate change (e.g. uncertainty analysis, model integration, etc.). The research networks MACSUR and AGMIP organised the CropM International Symposium and Workshop in Oslo, on 10-12 February 2014, and present this CR Special, discussing the state-of-the-art-as well as future perspectives-of crop modelling applications in climate change risk assessment, including the challenges of integrated assessments for the agricultural sector.
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Mitter, H., Schönhart, M., Meyer, I., Mechtler, K., Schmid, E., Sinabell, F., et al. (2015). Agriculture. In K. Steiniger, & M. König (Eds.),. Cost of Inaction in Austria. Vienna: Springer.
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Mitter, H., Schmid, E., & Sinabell, F. (2015). Climate change and policy impacts on Austrian protein crop supply balances. (Vol. 2015).
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Mingelgrin, U. (2015). Alternative Water Sources to Compensate For Loss of Water Availability to Agriculture due to Climate Change..
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Minet, J. (2015). Sensitivity of simulated grassland productivity to climate change factors in Europe and Israel using the CARAIB model. Ecological Informatics.
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