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Integrating Short-Term, Area-Based Logging Plans with Long-Term Harvest Schedules

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Abstract:

Procedures are developed and evaluated for integrating short-term, area-based plans with long-term, strata-based harvest schedules. A combination of these two approaches to forest planning provides a spatially feasible, short-term solution that can also incorporate strategic harvest goals over a long-term period. Three basic steps are used to combine the area and strata-based plans: (1) a 15-decade strata-based plan is solved with linear programming (LP) to establish strategic harvest goals; (2) with these goals as guidelines, 3-decade, area-based plans are generated with a random search technique caned Monte-Carlo integer programming (MCIP); and (3) those area-based plans become the first 3-decade solution within 15-decade integrated plans that are solved with LP. Both the harvest units and the road projects within the area-based plan are specified as strict binary variables. MCIP is an effective technique for generating feasible solutions to integer problems encountered in area-based planning. Although no guarantee of optimality can be assured, the technique is a major improvement over manual methods, and it is a practical alternative to mixed-integer programming for identifying feasible alternatives. In comparison to the integrated plans, it was found that the strata-based model consistently overestimated long-term revenues, and consistently underestimated long-term volumes. The integrated plans produced net revenue and volume levels within 10% of the strategic goals established by the strata-based linear program. The case study was conducted in 1987-88 on a forest located in British Columbia. For. Sci. 37(1):101-122.

Keywords: Monte-Carlo integer programming; Operations research; forest economics; linear programming

Document Type: Journal Article

Affiliations: Professor of Forest Engineering, College of Forestry, Oregon State University

Publication date: March 1, 1991

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