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Fodor, N., Foskolos, A., Topp, C. F. E., Moorby, J., Pásztor, L., & Foyer, C. Spatially explicit estimation of heat stress related impact of climate change onthe milk production of dairy cows in the United Kingdom. Environmental Research Letters.
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Montesino-San Martin, M., Wallach, D., Olesen, J. E., & Porter, J. R. Quantifying data requirements in crop models; applying the learning curve approach to winter wheat phenology models.
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Grosz, B., Dechow, R., Hoffmann, H., Zhao, G., Constantin, J., Raynal, H., et al. (2015). The implication of input data aggregation on upscaling of soil organic carbon changes. MACSUR Science Conference.
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Hoffmann, H., Gang, Z., Van Bussel, L. G. J., Enders, A., Specka, X., Sosa, C., et al. (2014). Sensitivity of crop models to spatial aggregation of soil and climate data..
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Högner, K. (2013). Improving the methodology for global agricultural water availability and identifying hot spots for potential dam sites in East-Africa. M.Sc., M.Sc.. Master's thesis, Potsdam Institute for Climate Impact Research, .
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