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Analyzing crop change scenario with the SmartScape™ spatial decision support system

    1. [1] University of California, Riverside

      University of California, Riverside

      Estados Unidos

    2. [2] University of Iowa

      University of Iowa

      City of Iowa City, Estados Unidos

    3. [3] Ryerson University

      Ryerson University

      Canadá

    4. [4] Heidelberg University

      Heidelberg University

      Stadtkreis Heidelberg, Alemania

    5. [5] Utrecht University

      Utrecht University

      Países Bajos

  • Localización: Land use policy: The International Journal Covering All Aspects of Land Use, ISSN 0264-8377, ISSN-e 1873-5754, Nº. 51, 2016, págs. 41-53
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • 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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