Spatial Optimization for Wildlife and Timber in Managed Forest Ecosystems
Abstract:This paper presents several nonlinear formulations for land allocation that optimize spatial layout for a single time period and that have the property that the number of choice variables increases linearly with the level of spatial resolution. Two nonlinear models are presented: one that accounts for spatial patterns with a cellular grid, and an alternative that uses geometric shapes. The formulations account for four criteria important to wildlife: the amount of edge, the juxtaposition of different habitat types for cover versus feeding needs, the dispersal distance between favorable habitats, and the minimum size of a patch of habitat. Case examples demonstrate the selection of different sizes of cuts as well as different spatial distributions of the cuts over the landscape, in response to different habitat needs for several species of wildlife. Sensitivity analyses were performed on alternative formulations and objective function coefficients. These model formulations are initial exploratory efforts, and extensions to this study are identified. For. Sci. 38(3):489-508.
Document Type: Journal Article
Affiliations: Principal Range Scientist, Rocky Mountain Forest and Range Experiment Station, USDA Forest Service, Fort Collins, CO
Publication date: 1992-08-01
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- 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
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Journal of Forestry
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