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Optimal Forest Management Using Stochastic Dynamic Programming Approach – A Case Study from the Hyrcanian Forests of Iran
Mid Sweden University, Faculty of Human Sciences, Department of Economics, Geography, Law and Tourism. University of Guilan, Sowmeh Sara, Iran. (Centrum för forskning om ekonomiska relationer)
Czech University of Life Sciences Prague, Suchdol, Czech Republic.
2023 (English)In: Journal of Sustainable Forestry, ISSN 1054-9811, E-ISSN 1540-756X, Vol. 42, no 1, p. 120-134Article in journal (Refereed) Published
Abstract [en]

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 asstumpage price, harvesting variable costs, growth, volume, basalarea, 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.

Place, publisher, year, edition, pages
Taylor & Francis, 2023. Vol. 42, no 1, p. 120-134
Keywords [en]
Growth model, stochastic dynamic programming, optimal forest management, Hyrcanian forests
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:miun:diva-42796DOI: 10.1080/10549811.2021.1961277ISI: 000684427400001Scopus ID: 2-s2.0-85112318252OAI: oai:DiVA.org:miun-42796DiVA, id: diva2:1584651
Available from: 2021-08-12 Created: 2021-08-12 Last updated: 2023-02-13Bibliographically approved

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Publisher's full textScopushttps://doi.org/10.1080/10549811.2021.1961277

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Mohammadi Limaei, Soleiman

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  • apa
  • ieee
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