Biodiversity and Timber in the Coast Range of Oregon: Inside the Production Possibility Frontier.

This study attempts to bridge the gap between studies that model cost-effective land management for single species and studies that model large sets of species or biodiversity. We estimated a production possibility frontier for biodiversity and timber production using simulated annealing for a study...

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Publicado en:Land Economics Vol. 79; no. 1; pp. 56 - 74
Autores principales: Lichtenstein, Mark E., Montgomery, Claire A.
Formato: Artículo
Publicado: University of Wisconsin Press February 2003
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      pub: University of Wisconsin Press
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        atl: Biodiversity and Timber in the Coast Range of Oregon: Inside the Production Possibility Frontier.
      aug:
        au:
          Lichtenstein, Mark E.
          Montgomery, Claire A.
      su:
        Biodiversity
        Forest management
        Lumber industry
        Wildlife conservation
        Timber
        Economics
        Oregon
        United States
      sug:
        subj:
          Oregon
          United States
          Biodiversity
          Forest management
          Lumber industry
          Wildlife conservation
          Timber
          Economics
      ab: This study attempts to bridge the gap between studies that model cost-effective land management for single species and studies that model large sets of species or biodiversity. We estimated a production possibility frontier for biodiversity and timber production using simulated annealing for a study area in the Coast Range of Oregon. The model produced spatially explicit land management regimes over a 100-year time horizon. Current landowner objectives were then simulated and compared to cost-effective management along the production possibility frontier. The results suggest substantial potential for improving efficiency of forest land management in the study area. Reprinted by permission of the publisher.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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