Optimal Forest Management Using Stochastic Dynamic Programming Approach – A Case Study from the Hyrcanian Forests of Iran

IF 1.2 4区农林科学 Q3 FORESTRY

Journal of Sustainable Forestry Pub Date : 2021-08-12 DOI:10.1080/10549811.2021.1961277

S. Mohammadi Limaei, Z. Mohammadi

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引用次数: 2

Abstract

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.

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利用随机动态规划方法进行森林优化管理——以伊朗海尔卡尼亚森林为例

摘要本研究的目的是在考虑经济和环境目标的情况下，估计伊朗北部一片不均匀老化森林的最佳森林采伐量。收集了所需的数据，如树桩价格、收获可变成本、生长、体积、基底面积、固存碳、二氧化碳储存和价格。使用收集的数据来估计优化所需的输入模型。采用随机动态规划技术进行优化。结果表明，当只考虑经济目标而不考虑经济和环境目标时，收获量更高。结果还表明，如果我们只考虑环境目标，每公顷的收获量将更高。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都会减少。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为优化森林管理提供指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Sustainable Forestry Social Sciences-Geography, Planning and Development

CiteScore

3.90

自引率

12.50%

发文量

期刊介绍： Journal of Sustainable Forestry publishes peer-reviewed, original research on forest science. While the emphasis is on sustainable use of forest products and services, the journal covers a wide range of topics from the underlying biology and ecology of forests to the social, economic and policy aspects of forestry. Short communications and review papers that provide a clear theoretical, conceptual or methodological contribution to the existing literature are also included in the journal. Common topics covered in the Journal of Sustainable Forestry include: • Ecology, management, recreation, restoration and silvicultural systems of all forest types, including urban forests • All aspects of forest biology, including ecophysiology, entomology, pathology, genetics, tree breeding, and biotechnology • Wood properties, forest biomass, bioenergy, and carbon sequestration • Simulation modeling, inventory, quantitative methods, and remote sensing • Environmental pollution, fire and climate change impacts, and adaptation and mitigation in forests • Forest engineering, economics, human dimensions, natural resource policy, and planning Journal of Sustainable Forestry provides an international forum for dialogue between research scientists, forest managers, economists and policy and decision makers who share the common vision of the sustainable use of natural resources.