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Spatially Optimizing Wildlife Habitat Edge Effects in Forest Management Linear and Mixed-Integer Programs

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We present a spatial optimization model that accounts for wildlife edge effects through multiple habitat needs in a multistand forest management problem. Wildlife population dynamics are based on discrete reaction-diffusion processes combined with multiple limiting-factor constraint sets, one for nest site capacity and another for effective forage capacity. The model is shown to reasonably represent both negative and positive effects of forest edges on wildlife by varying the amount of forage production from harvested and unharvested forest areas in a static formulation. A dynamic model is also demonstrated, and scale effects are examined using mixed-integer programming. For. Sci. 45(2):249-258.

Keywords: Reaction-diffusion; coupled map lattice; critical extinction thresholds; induced edge; limiting factors

Document Type: Journal Article

Affiliations: Chief Economist, USDA Forest Service, Rocky Mountain Research Station, 240 West Prospect Road, Fort Collins, Colorado 80526 Phone: (970) 498-1859

Publication date: 1999-05-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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