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Ma, S., Ben, T., H., Lellei-Kovács, E., Barcza, Z., Hidy, D., & Bellocchi, G. (2014). Grassland model intercomparison of the knowledge hub MACSUR: illustrative results from the models PaSim and Biome-BGC MuSo..
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Rolinski, S., Heinke, J., & Weindl, I. (2014). Grazing effects on grassland productivity – Linking livestock production to grass yields..
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Özkan, S., Bonesmo, H. S., & Harstad, O. M. (2014). Greenhouse gas emissions and mitigation potential of Norwegian dairy sector..
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Ahmadi, B. V., Shrestha, S., Thomson, S. G., Barnes, A. P., & Stott, A. W. (2014). Health, welfare and profitability in Scottish sheep farms: assessing the impacts of CAP 2015 reforms..
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Müller, C., Waha, K., Bondeau, A., & Heinke, J. (2014). Hotspots of climate change impacts in sub-Saharan Africa and implications for adaptation and development. Glob. Chang. Biol., 20(8), 2505–2517.
Abstract: Development efforts for poverty reduction and food security in sub-Saharan Africa will have to consider future climate change impacts. Large uncertainties in climate change impact assessments do not necessarily complicate, but can inform development strategies. The design of development strategies will need to consider the likelihood, strength, and interaction of climate change impacts across biosphere properties. We here explore the spread of climate change impact projections and develop a composite impact measure to identify hotspots of climate change impacts, addressing likelihood and strength of impacts. Overlapping impacts in different biosphere properties (e.g. flooding, yields) will not only claim additional capacity to respond, but will also narrow the options to respond and develop. Regions with severest projected climate change impacts often coincide with regions of high population density and poverty rates. Science and policy need to propose ways of preparing these areas for development under climate change impacts.
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