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PubMed · 15870059

A case study of forest management planning using a new heuristic algorithm.

Jeong-Ho Son·Frantisek Vilcko·Sofía Sánchez Orois·Stephan Kunth·Yeong-Mo Son·Klaus von Gadow
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Abstract

We present an approach to generate and evaluate different silvicultural development paths and to optimize the development of a Norway spruce stand, using a long-term planning horizon. To generate a silvicultural path, the maximum stand density was applied. At each thinning event, three possible thinning intensities (10, 20, 30% of the stem number per ha) were randomly chosen. A search algorithm known as modified Accelerated Simulated Annealing (mASA) was used to estimate the optimum combination of stand paths for a given forest as a whole. Production and economic management objectives were considered and then compared. The economic criterion was the Expected Stand Value (ESV) with a 4% discount rate. The generated data set of 38 Norway spruce stands (comprising a total of 123.8 ha) was used in the case study. The result with the best combination of paths was presented in a digitized forest map. Forest management simulation was performed using a specially developed computer program, for a planning horizon of 20 years. The mASA proved to be an effective search method for identifying optimum paths.

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AlgorithmsComputer SimulationForestryModels, BiologicalOntarioPiceaEvaluation StudyJournal Article

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Jeong-Ho Son, Frantisek Vilcko, Sofía Sánchez Orois, Stephan Kunth, Yeong-Mo Son, Klaus von Gadow. 2005. A case study of forest management planning using a new heuristic algorithm.. https://doi.org/10.1093/treephys%2F25.7.929

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