Integrating socio‐economic and biophysical models: revision of a land‐use allocation model |
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| Authors: | Y Du T Liu T Huffman B McConkey S Toure F Feng M Green J Liu H Liu |
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| Institution: | 1. College of Economics & Management, Anhui Agricultural University, Hefei, Anhui, China;2. Institute of Circular Economy, Beijing University of Technology, Beijing, China;3. Eastern Cereal and Oilseed Research Centre, Agriculture and Agri‐Food Canada, Ottawa, ON, Canada;4. Semiarid Prairie Agricultural Research Centre, Agriculture and Agri‐Food Canada, Swift Current, Saskatchewan, Canada;5. National Wildlife Research Centre, Environment Canada, Ottawa, ON, Canada;6. The School of Public Affairs, University of Science and Technology of China, Hefei, Anhui, China;7. College of Resources and Environmental Sciences, Northeast Agricultural University, Harbin, Heilongjiang, China |
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| Abstract: | Integration of large‐area, economically driven macro‐models and small‐area, biophysically based models in the Canadian agricultural sector was described recently in the development of a land‐use allocation model (LUAM). We have since developed and integrated an improved methodology for allocating crop area changes generated for large areas by the Canadian Regional Agricultural Model (CRAM) to much smaller Soil Landscapes of Canada (SLC) polygons. Validation of outputs showed considerable improvement. The new coefficients of determination (R2) between simulated and actual data, with previous values in brackets, were 0.69 for fodder corn (0.54), 0.88 for wheat (0.62), 0.77 for hay (0.26), 0.54 for alfalfa (not previously reported), 0.88 for soya bean (0.26) and 0.86 for grain corn (0.22). The best result was obtained for soya bean, with a normalized root mean square error (NRMSE) of 0.31%, and the poorest for alfalfa, with NRMSE = 17.34%. |
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| Keywords: | Agricultural land use biophysical socio‐economic model land‐use allocation optimization Canada |
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