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Optimization of Forest Wildlife Objectives

John Hof () and Robert Haight ()
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John Hof: USDA Forest Service
Robert Haight: USDA Forest Service

Chapter Chapter 21 in Handbook Of Operations Research In Natural Resources, 2007, pp 405-418 from Springer

Abstract: This chapter presents an overview of methods for optimizing wildlife-related objectives. These objectives hinge on landscape pattern, so we refer to these methods as “spatial optimization.” It is currently possible to directly capture deterministic characterizations of the most basic spatial relationships: proximity relationships (including those that lead to edge effects), habitat connectivity/ fragmentation relationships, population growth and dispersal, and patch size/ habitat amount thresholds. More complex spatial relationships and stochastic relationships are currently best captured through heuristic manipulation of simulation models. General treatment of stochastic variables in spatial optimization is in its infancy.

Keywords: Landscape Pattern; Demographic Model; Habitat Connectivity; Habitat Protection; Population Viability Analysis (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-0-387-71815-6_21

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DOI: 10.1007/978-0-387-71815-6_21

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