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Open AccessCase Report

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

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Department of Forestry, Faculty of Natural Resources, Behbahan Khatam Alanbia University of Technology, Behbahan 63616-47189, Iran
2
Department of Mathematics, ISTA—School of Technology and Architecture, University Institute of Lisbon (ISCTE-IUL), Information Sciences, Technologies and Architecture Research Center (ISTAR-IUL), Business Research Unit-IUL (BRU-IUL), 1649-026 Lisbon, Portugal
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Department of Forestry, Faculty of Agriculture & Natural Resources, Lorestan University, Khorramabad 6814-94414, Iran
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Forest Research Division, Research Institute of Forests and Rangelands, Agricultural Research Education and Extension Organization (AREEO), Tehran 14968-13111, Iran
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Council for Agricultural Research and Economics (CREA), Research Center for Forestry and Wood, Viale S. Margherita 80, I-52100 Arezzo, Italy
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Global Change Research Institute of the Czech Academy of Sciences, Lipová 9, CZ-37005 České Budějovice, Czech Republic
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Lisbon Accounting and Business School Lisbon Polytechnic Institute, Avenida Miguel Bombarda 20, 1069-035 Lisbon, Portugal
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Polytechnic Institute of Santarém, School of Management and Technology (ESGTS-IPS), 2001-904 Santarém, Portugal
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ISTA—University Institute of Lisbon (ISCTE-IUL), 1649-026 Lisbon, Portugal
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ESCS—Escola Superior de Comunicação Social, Instituto Politécnico de Lisboa, 1549-014 Lisbon, Portugal
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(5), 1750; https://doi.org/10.3390/su12051750
Received: 30 January 2020 / Revised: 21 February 2020 / Accepted: 23 February 2020 / Published: 26 February 2020
(This article belongs to the Special Issue Innovation Ecosystems: A Sustainability Perspective)
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. View Full-Text
Keywords: decision making; forest management; Nash Bayesian Equilibrium (NBE); Harsanyi’s Transformation (HT) decision making; forest management; Nash Bayesian Equilibrium (NBE); Harsanyi’s Transformation (HT)
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MDPI and ACS Style

Zandebasiri, M.; Filipe, J.A.; Soosani, J.; Pourhashemi, M.; Salvati, L.; Mata, M.N.; Mata, P.N. An Incomplete Information Static Game Evaluating Community-Based Forest Management in Zagros, Iran. Sustainability 2020, 12, 1750. https://doi.org/10.3390/su12051750

AMA Style

Zandebasiri M, Filipe JA, Soosani J, Pourhashemi M, Salvati L, Mata MN, Mata PN. An Incomplete Information Static Game Evaluating Community-Based Forest Management in Zagros, Iran. Sustainability. 2020; 12(5):1750. https://doi.org/10.3390/su12051750

Chicago/Turabian Style

Zandebasiri, Mehdi; Filipe, José A.; Soosani, Javad; Pourhashemi, Mehdi; Salvati, Luca; Mata, Mário N.; Mata, Pedro N. 2020. "An Incomplete Information Static Game Evaluating Community-Based Forest Management in Zagros, Iran" Sustainability 12, no. 5: 1750. https://doi.org/10.3390/su12051750

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