Rötter, L. R. (2016). Introduction to MACSUR — methodology for integrated assessment.. Rotterdam (Netherlands).
Abstract: Presentation SC 2.10 Farming systems. Introduction to MACSUR – methodology for integrated assessment, Reimund R�tter, Natural Resources Institute Finland (LUKE), Finland (2016). Presented at the international conference Adaptation Futures 2016, Rotterdam, the Netherlands. No Label
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Marton, T. (2016). Assessing the impact of agro-climatic factors and farm characteristics on the yield variation of the Norwegian fruit sector (Vol. 9 C6 -).
Abstract: Main drivers of ag. yields:–Technology–R&D (new hybrids etc.)–Weather–Etc.•Common sense and anecdotal observations (remember the Tromsø presentation) revealed extreme events tended to impact wide geographic areas•This was called the «systemic» nature of agriculture No semi-aggregation farm-level•Not the boring corn, maize, wheat fruits•No OLS-like Pearson correlation or functional form approach for conditioning spatial correlations on weather SDM•Finally, if we are smart enough to set the explanatory proxies in a meaningful way presumably we can make the distinction between the effects of, say draught and extreme heat.•And much more in policy relevance
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Hempel, S., Janke, D., König, M., Menz, C., Englisch, A., Pinto, S., et al. (2016). Integrated modelling to assess optimisation potentials for cattle housing climate. Advances in Animal Biosciences, 7(03), 261–262.
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Mas, K., Pardo, G., Galán, E., & del Prado, A. (2016). Assessing dairy farm sustainability using whole-farm modelling and life cycle analysis. Advances in Animal Biosciences, 7(03), 259–260.
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Foskolos, A., & Moorby, J. M. (2016). Lifetime nitrogen use efficiency of dairy cattle: model description and sensitivity analysis. Advances in Animal Biosciences, 7(03), 256–258.
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