-cuts; Coppicing; Decision making; Forest protection; Fuzzy analytic hierarchy process (FAHP); Zagros forests; Iran; Policy Making; Environmental Monitoring; Forests; α-cuts; Decision making process; Dpsir frameworks; Environmental factors; Forest management planning; Fuzzy analytic hierarchy process; Fuzzy pair-wise comparisons; Research results; Situation factor; Environmental Science (all); Pollution; Management, Monitoring, Policy and Law; General Environmental Science; General Medicine
Abstract :
[en] The main aim of this research was to quantify the parameters related to forest situation (according to DPSIR framework) using decision-making processes and fuzzy methods in the Zagros forests of Iran. In this study, the situation factors (e.g., socioeconomic, biophysical, and environmental factors) were evaluated by fuzzy analytic hierarchy process (FAHP) using [Formula: see text]-cuts in addition to the Chang method for fuzzy pairwise comparisons. The results of the study clearly illustrate that the decision-making process is the most important input in forest management planning in the Zagros forests, Iran. In such situations, decision-making techniques can be of great help in differentiating the factors influencing decision-making and policy-making for these forests. We found that [Formula: see text]-cuts could improve the quality of the decision-making process, but only after secondary analysis. Initially, we did not find any significant difference in the results between [Formula: see text]-cuts and research results, but using the differences in rankings, we could identify a significant difference. We propose that this method, which requires lengthy calculations to get the answer, should only be used by forest managers when the quality of the results and the difference between the parameters are very important to them; otherwise, they may be able to achieve the same desired results in a much easier way.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Zandebasiri, Mehdi; Research Division of Natural Resources, Chaharmahal and Bakhtiari Agricultural and Natural Resources Research and Education Center, AREEO, Shahrekord, I.R., Iran. mehdi.zandebasiri@yahoo.com ; Behbahan Khatam Al-Anbia University of Technology, Behbahan, Iran. mehdi.zandebasiri@yahoo.com
Groselj, Petra; Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000, Ljubljana, Slovenia
Azadi, Hossein ; Université de Liège - ULiège > TERRA Research Centre > Modélisation et développement ; Research Group Climate Change and Security, Institute of Geography, University of Hamburg, Hamburg, Germany ; Department of Geography, Ghent University, Ghent, Belgium ; Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
Serio, Francesca; Department of Biological and Environmental Science and Technology, University of Salento, Prov.le Lecce-Monteroni, 73100, Lecce, Italy
Abbasi Shureshjani, Roohollah; Department of Management, Hazrat-e Masoumeh University , Qom, Iran
Language :
English
Title :
DPSIR framework priorities and its application to forest management: a fuzzy modeling.
Publication date :
25 August 2021
Journal title :
Environmental Monitoring and Assessment
ISSN :
0167-6369
eISSN :
1573-2959
Publisher :
Springer Science and Business Media Deutschland GmbH, Netherlands
Dr. Zandbassiri’s doctoral thesis at Lorestan University, Iran, focused on the issue of forest decline. This research, as an independent study, is outside of his doctoral thesis and focuses on quantifying the results of the strategies needed to reduce forest decline with fuzzy MCDM. We thank the experts who helped us in weighting the DPSIR factors and two anonymous reviewers as well for their helpful comments. Petra Grošelj also acknowledges the financial support of the Slovenian Research Agency (research core funding No. P4-0059).Dr. Zandbassiri’s doctoral thesis at Lorestan University, Iran, focused on the issue of forest decline. This research, as an independent study, is outside of his doctoral thesis and focuses on quantifying the results of the strategies needed to reduce forest decline with fuzzy MCDM. We thank the experts who helped us in weighting the DPSIR factors and two anonymous reviewers as well for their helpful comments. Petra Grošelj also acknowledges the financial support of the Slovenian Research Agency (research core funding No. P4-0059).
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