Abstract
ABSTRACT Regional forest planning does not often progress as desired because it involves multiple decision-makers who tend to manage their own forest stands individually. This study aimed to propose a licnear programming model to maximize the integrated net present value (NPV) of forest ecosystem services at a regional scale with multiple decision-makers. The model uses a matrix comprising forest state transition rates to simulate decision-making in individual forest stands; it also aims to identify optimal solutions for forest zoning and subsidies to enhance wood production. Herein, the model’s validity was evaluated using hypothetical data. The maximum NPV was estimated for different weightings of the transition matrix. Wood production and two other ecosystem services affected by forest age and geographical conditions were evaluated against a monetary base. Using the hypothetical data, the model proposed an optimal weight and zoning allocation that increased the NPV by approximately JPY. Therefore, this model can propose optimized zoning via controlling the transition probabilities of regional forests.
Published Version
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