Optimal Forest Management Using Stochastic Dynamic Programming Approach - A Case Study from the Hyrcanian Forests of Iran
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F23%3A96955" target="_blank" >RIV/60460709:41320/23:96955 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1080/10549811.2021.1961277" target="_blank" >http://dx.doi.org/10.1080/10549811.2021.1961277</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/10549811.2021.1961277" target="_blank" >10.1080/10549811.2021.1961277</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Optimal Forest Management Using Stochastic Dynamic Programming Approach - A Case Study from the Hyrcanian Forests of Iran
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Optimal Forest Management Using Stochastic Dynamic Programming Approach - A Case Study from the Hyrcanian Forests of Iran
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
40102 - Forestry
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Sustainable Forestry
ISSN
1054-9811
e-ISSN
1054-9811
Svazek periodika
42
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
15
Strana od-do
120-134
Kód UT WoS článku
000684427400001
EID výsledku v databázi Scopus
2-s2.0-85112318252