{"title":"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","authors":"S. Mohammadi Limaei, Z. Mohammadi","doi":"10.1080/10549811.2021.1961277","DOIUrl":null,"url":null,"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.","PeriodicalId":54313,"journal":{"name":"Journal of Sustainable Forestry","volume":"42 1","pages":"120 - 134"},"PeriodicalIF":1.2000,"publicationDate":"2021-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimal Forest Management Using Stochastic Dynamic Programming Approach – A Case Study from the Hyrcanian Forests of Iran\",\"authors\":\"S. Mohammadi Limaei, Z. Mohammadi\",\"doi\":\"10.1080/10549811.2021.1961277\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":54313,\"journal\":{\"name\":\"Journal of Sustainable Forestry\",\"volume\":\"42 1\",\"pages\":\"120 - 134\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2021-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Sustainable Forestry\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1080/10549811.2021.1961277\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sustainable Forestry","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/10549811.2021.1961277","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"FORESTRY","Score":null,"Total":0}
Optimal Forest Management Using Stochastic Dynamic Programming Approach – A Case Study from the Hyrcanian Forests of Iran
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.
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.