Multiple-Knapsack Optimization in Land Conservation: Results from the First Cost-effective Conservation Program in the United States.

Conservation groups often piece together their parcel selections by combining funds from multiple sources. When applying multiple-knapsack optimization, substantial increases in conservation benefits, acreage, and number of parcels preserved can be achieved. Specifically, we show that multiple-knaps...

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Publicado en:Land Economics Vol. 92; no. 1; pp. 117 - 131
Autores principales: Messer, Kent D., Kecinski, Maik, Xing Tang, Hirsch IV, Robert H.
Formato: Artículo
Publicado: University of Wisconsin Press Feb2016
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Multiple-Knapsack Optimization in Land Conservation: Results from the First Cost-effective Conservation Program in the United States.
      aug:
        au:
          Messer, Kent D.
          Kecinski, Maik
          Xing Tang
          Hirsch IV, Robert H.
        affil:
          Unidel Howard Cosgrove Chair for the Environment and professor, Department of Applied Economics and Statistics, University of Delaware, Newark
          Postdoctoral Researcher, Department of Applied Economics and Statistics, University of Delaware, Newark
          Graduate Student, Department of Applied Economics and Statistics, University of Delaware
          Baltimore County natural resource specialist, Baltimore County Department of Environmental Protection and Sustainability, Towson, Maryland
      su:
        Cost effectiveness
        Land management
        Nature reserves
        Knapsack problems
        Mathematical optimization
        United States economic policy
      sug:
        subj:
          Cost effectiveness
          Nature Parks and Other Similar Institutions
          Land management
          Nature reserves
          Knapsack problems
          Mathematical optimization
          United States economic policy
      ab: Conservation groups often piece together their parcel selections by combining funds from multiple sources. When applying multiple-knapsack optimization, substantial increases in conservation benefits, acreage, and number of parcels preserved can be achieved. Specifically, we show that multiple-knapsack optimization substantially outperforms benefit targeting, cost-effectiveness analysis, and sequential binary integer programming. This study uses data from the first known cost-effective land conservation program in the United States--in Baltimore County, Maryland--and shows that multiple- knapsack optimization can deliver additional benefits.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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