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Optimal Forest Management Using Stochastic Dynamic Programming Approach – A Case Study from the Hyrcanian Forests of Iran
Journal of Sustainable Forestry ( IF 1.2 ) Pub Date : 2021-08-12 , DOI: 10.1080/10549811.2021.1961277
Soleiman Mohammadi Limaei 1, 2 , Zohreh Mohammadi 3
Affiliation  

ABSTRACT

The aim of this study is to estimate the optimal forest harvest considering economic and environmental objectives in an uneven-aged forest in the north of Iran. Required data were collected such as stumpage price, harvesting variable costs, growth, volume, basal area, sequestrated carbon, carbon dioxide storage, and price. The required input models for optimization were estimated using the collected data. A stochastic dynamic programming technique was used for optimization. The results indicated that the harvesting volume was higher when only the economic objective was considered instead of considering economic and environmental objectives. The results also indicated that the harvesting volume would occur at a higher level of volume per hectare if we only consider the environmental objective. The results showed that the expected present value was higher when economic and environmental objectives were considered simultaneously. The results indicated when interest rate increased, the harvesting time and the expected present value decreased. The results showed that the expected present value increases with increasing the risk. The results of this study can be a guideline for optimal forest management.



中文翻译:

使用随机动态规划方法优化森林管理——以伊朗 Hyrcanian 森林为例

摘要

本研究的目的是在考虑到伊朗北部不均匀年龄森林的经济和环境目标的情况下,估算最佳森林采伐量。收集了所需的数据,例如立木价格、采伐可变成本、生长、体积、断面面积、封存的碳、二氧化碳储存量和价格。使用收集的数据估计优化所需的输入模型。随机动态规划技术用于优化。结果表明,当只考虑经济目标而不考虑经济和环境目标时,采伐量更高。结果还表明,如果我们只考虑环境目标,每公顷的采伐量会更高。结果表明,当同时考虑经济和环境目标时,预期现值更高。结果表明,当利率增加时,收获时间和预期现值减少。结果表明,预期现值随着风险的增加而增加。这项研究的结果可以作为优化森林管理的指南。

更新日期:2021-08-12
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