Analyzing crop change scenario with the SmartScape™ spatial decision support system |
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| Institution: | 1. Institute of Transportation Systems, Deutsches Zentrum für Luft- und Raumfahrt, Germany;2. Engineering Faculty Construction, Geo, Environment, Department of Traffic Techniques, Technical University of Munich, Germany;1. Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China;2. College of Resources and Environmental Science, Nanjing Agricultural University, Nanjing 210095, China;1. Computational Sciences Laboratory (UCY-CompSci), Department of Mechanical and Manufacturing Engineering, University of Cyprus, Kallipoleos Avenue 75, Nicosia 1678, Cyprus;2. Process & Energy Department, Delft University of Technology, Leeghwaterstraat 39, 2628CB, Delft, The Netherlands;1. Harrow Research and Development Centre, Agriculture & Agri-Food Canada, Harrow, ON, N0R 1G0, Canada;2. USDA-ARS, U.S. Dairy Forage Research Center, 1925, Linden DriveWest, Madison, WI 53706, United States;3. Department of Bioresource Engineering, McGill University, Sainte-Anne-de-Bellevue, QC H9X 3V9, Canada;4. Department of Geography and Environmental Studies, Ryerson University, Toronto, ON, Canada |
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| Abstract: | Agricultural land use is increasingly changing due to different anthropogenic activities. A combination of economic, socio-political, and cultural factors exerts a direct impact on agricultural changes. This study aims to illustrate how stakeholders and policymakers can take advantage of a web-based spatial decision support system (SDSS), namely SmartScape™ to either test existing crop change policies or produce effective crop change decisions using tradeoff analysis. We addressed the consequences of two common crop change scenarios for Dane county in Wisconsin, United States, (a) replacing perennial energy crops with annual energy crops and (b) replacing annual energy crops with perennial energy crops. The results suggested that converting areas under grass and alfalfa production that were located on high quality soil and flat slope to corn promoted a net-income and availability of gross biofuel. Additionally, the model outcome proposed that converting areas under corn and soy production that were located on high slope to grass promoted net-energy, phosphorus loading, soil loss, soil carbon sequestration, nitrous oxide emission, grassland bird habitat, pollinator abundance, and biocontrol. Therefore, SmartScape™ can assist strategic crop change policy by comparing the tradeoff among ecosystem services to ensure that crop change policies have outcomes that are agreeable to a diversity of policymakers. |
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| Keywords: | SmartScape™ Crop change policy Ecosystem services Bioenergy crops Policymakers |
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