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Sándor et al. (2016). Global Research Alliance on Greenhouse Gases – benchmark and ensemble crop and grassland model estimates (Vol. 8).
Abstract: Conference presentation PDF
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Niemi, J. (2016). Framework of stochastic gross margin volatility modeling of crop rotation with farm management practices (Vol. 9 C6 -).
Abstract: DP models with risk aversion through meanvariancespecification is already implemented inLuke and applied in North Savo regionHOWEVER climate change, e.g. changes in mean andvariance of crop yiels, still not yet taken into account– Recently, such crop modelling results have becomeavailble for wheat as well, not only for barley– Still CC impact available for 2 cereals crops only, whilemost farms cultivate more than 2 crops Some early conclusions• The suggested approach is consistent in terms of DPprinciples and mean-variance approach and can provideconsistent results for farm scale risk analysis• It is however hard to utilise the approach except assuming afarm with only few crops (those with crop modelling / otherresults of climate change effects on mean and (co-variance)© Natural Resources Institute Finland• Assuming no change in price (co)variability is a majorsimplification results show farm level (or local) effects ofchanges in mean yields and yield (co)variability only
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Deppermann et al. (2016). Food and nutrition security in Europe – a quantification of multi-stakeholder scenarios (Vol. 8).
Abstract: Conference presentation PDF
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Eory, V., & Hutchings, N. (2016). Farm management and sustainability indicators: What and how to include in farm scale models (Vol. 8).
Abstract: Conference presentation PDF
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Van der Linden, A. (2016). Exploring grass-based beef production under climate change by integration of grass and cattle growth models (Vol. 8 C6 -).
Abstract: Conference presentation PDF
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