Graduate Thesis Or Dissertation
 

Using Tabu Search to solve tactical forest planning problems with spatial wildlife habitat goals and constraints

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/p5547v38d

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  • A method was developed to formulate and solve a fifty-year tactical harvest scheduling problem that included spatial wildlife habitat goals and constraints for a 4800-acre watershed in Northwestern Oregon under four scenarios. Three goals and two habitat constraints were included in each scenario. The first goal was a volume goal. The second goal was a landscape aggregation goal measured with the contagion index. The third goal was a shape goal using the ratio of the existing perimeter of closed-canopy stands with that of a circle with equivalent area. The first constraint required a minimum cluster of connected closed-canopy stands that spanned opposite edges of a map. The second constraint limited the maximum opening created in any period. The algorithm included both fixed and variable cost components for the transportation network. Tabu Search with both short-term memory restriction and a long-term diversification strategy was used to solve this ten-period problem. The performance of the heuristic was measured by comparing the results with an estimate of the optimal value obtained from extreme value theory using a three-parameter Weibull distribution. In scenario one, the shape goal was reached in most periods and the average contagion index was 0.35. The volume goal was met or exceeded in all periods. The heuristic found one solution within 2 percent of the estimated optimal value, while 75 percent of the solutions were within 80 percent of the estimated optimal value. In scenario two, the average contagion index was 0.40. The goal was met in over 50 percent of the periods. The volume and shape goals were met or exceeded in all periods. The heuristic found one solution within 6 percent of the estimated optimal value, while the remaining solutions were within 83 percent of the estimated optimal value. Two additional scenarios were developed to create specific wildlife habitat. Scenario three developed high quality habitat for pine marten containing a connected landscape of closed-canopy stands with minimum edge habitat. Scenario four was developed for elk. This analysis produced habitat with a mixture of open and closed-canopy stands in a dispersed pattern.
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