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Bojar, W. (2014). Short information on progress in MACSUR (Vol. 68 C6 -).
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Barbier-Brygoo, H., Chilliard, Y., Durand, J. - L., Elmayan, T., Goldringer, I., & Porter, J. R. (2014). Rapport du groupe de traveil sur la Propriétè Intellectuelle dans le végétal, du conseil scientifique nationale de l’INRA. Paris, France.
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Hutchings, N., & Kipling, R. (2014). Inventory of farm-scale models within LiveM (Vol. 3).
Abstract: The aim of WP3 is to improve the assessment of the impact of climate change on livestock and grassland systems at the farm-scale. The first step in this process is to understand the current state of the art in farm-scale modelling, and the resources available within the MACSUR knowledge hub. Here, an inventory of the farm-scale models available within LiveM is presented, along with a summary of the types of model represented. Thirteen farm-scale models were identified, three of which focus on environmental aspects of farm systems (GHG emissions etc.) and ten of which focus on management strategies (productivity, economics etc.).
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Acharya, T., Fanzo, J., Gustafson, D., Ingram, J., Schneeman, B., Allen, L., et al. (2014). Assessing Sustainable Nutrition Security: The Role of Food Systems: Working Paper. Washington, D.C., U.S.A.
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Klatt, S., Kraus, D., Rahn, K. - H., Werner, C., Kiese, R., Butterbach-Bahl, K., et al. (2014). Parameter-induced uncertainty quantification of a regional N2O and NO3 inventory using the biogeochemical model LandscapeDNDC.
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