Abstract
This paper studied a method for selecting the optimal management plan for forests based on AHP. First, the paper used the control variable method to determine that the scope of application of the forest management plan is North America, Eurasia (mainly temperate continental climate and subtropical, tropical monsoon climate) and South America (mainly tropical climate, plain and plateau terrain). Within this range, we selected the Xing’an larch forest in the northern part of the Greater Xing’an Mountains as a special sample, and calculated the importance and weight scores of the ecological benefit plan (PEB), economic benefit plan (PES) and social benefit plan (PSP) of the forest, and the scheme with the highest score was the plan preferred by the operator. Combined with 9 indicators representing the comprehensive value of forest, this paper used the analytic hierarchy process to design a decision-making model, and determined the optimal forest management plan through calculation, which balances the various values of the forest.
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Jiang, Y., Liu, Y., Li, J. (2022). Research on the Optimal Management Plan of Forests. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2022. Lecture Notes in Computer Science, vol 13345. Springer, Cham. https://doi.org/10.1007/978-3-031-09726-3_32
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DOI: https://doi.org/10.1007/978-3-031-09726-3_32
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