Multicriteria Nonlinear Programming for Optimal Spatial Allocation of Stands
Abstract:The forest planning problem is formulated using stand level variables for each management unit. It is shown that harvests can be spatially allocated to stands to meet nonadjacency requirements by using a nonlinear programming formulation. A penalty function form of the mathematical program is used to find solutions. This study represents a first attempt at a possibly robust technique. It appears to be applicable to small forest areas. For larger forest areas containing many stands (>200) the method is predicted to converge too slowly for practical use. The considerable conflict between achieving optimal present net value of the forest and meeting nonadjacency requirements is illustrated for example cases. For. Sci. 36(3):487-501.
Document Type: Journal Article
Affiliations: Assistant Professor of Forestry, Department of Forestry, College of Forest Resources, North Carolina State University, Raleigh, North Carolina
Publication date: September 1, 1990
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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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