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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Hutchings, N., Sanders, D., Özkan, S., & De, H., Michel. (2014). Farm model comparison..
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Ipcc. (2014). Summary for Policymakers. In C. B. Field, V. R. Barros, D. J. Dokken, K. J. Mach, M. D. Mastrandrea, T. E. Bilir, et al. (Eds.), (Vol. Climate Change 2014: Impacts, Adaptation, and Vuln, pp. 1–32). Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press.
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Jabloun, M., Li, X., Olesen, E., Schelde, K., & Tao, F. (2014). RDAISY: a comprehensive modelling framework for automated calibration, sensitivity and uncertainty analysis of the DAISY model..
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Jaromir, K., Piotr, B., & Cezary, S. (2014). Field experiment in Lubelskie region to validate crop growth models in temperate climate..
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