An Incomplete Information Static Game Evaluating Community-Based Forest Management in Zagros, Iran

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F20%3A00524508" target="_blank" >RIV/86652079:_____/20:00524508 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/2071-1050/12/5/1750" target="_blank" >https://www.mdpi.com/2071-1050/12/5/1750</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/su12051750" target="_blank" >10.3390/su12051750</a>

Jazyk výsledku

angličtina

Název v původním jazyce

An Incomplete Information Static Game Evaluating Community-Based Forest Management in Zagros, Iran

Popis výsledku v původním jazyce

The present study adopts a game theory approach analyzing land-use planning in Zagros forests, Iran. A Static Game of Incomplete Information (SGII) was applied to the evaluation of participatory forest management in the study area. This tool allows a complete assessment of sustainable forest planning producing two modeling scenarios based on (i) high and (ii) low social acceptance. According to the SGII results, the Nash Bayesian Equilibrium (NBE) strategy suggests the importance of landscape protection in forest management. The results of the NBE analytical strategy show that landscape protection with barbed wires is the most used strategy in local forest management. The response to the local community includes cooperation in conditions of high social acceptance and noncooperation in conditions of low social acceptance. Overall, social acceptance is an adaptive goal in forest management plans.

Název v anglickém jazyce

An Incomplete Information Static Game Evaluating Community-Based Forest Management in Zagros, Iran

Popis výsledku anglicky

The present study adopts a game theory approach analyzing land-use planning in Zagros forests, Iran. A Static Game of Incomplete Information (SGII) was applied to the evaluation of participatory forest management in the study area. This tool allows a complete assessment of sustainable forest planning producing two modeling scenarios based on (i) high and (ii) low social acceptance. According to the SGII results, the Nash Bayesian Equilibrium (NBE) strategy suggests the importance of landscape protection in forest management. The results of the NBE analytical strategy show that landscape protection with barbed wires is the most used strategy in local forest management. The response to the local community includes cooperation in conditions of high social acceptance and noncooperation in conditions of low social acceptance. Overall, social acceptance is an adaptive goal in forest management plans.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Sustainability

ISSN

2071-1050

e-ISSN

—

Svazek periodika

12

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

14

Strana od-do

1750

Kód UT WoS článku

000522470900051

EID výsledku v databázi Scopus

2-s2.0-85087302370