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DPSIR framework priorities and its application to forest management: a fuzzy modeling
Mehdi Zandebasiri1,2, Petra Groselj3, Hossein Azadi4,5,6
1Research Division of Natural Resources, Chaharmahal and Bakhtiari Agricultural and Natural Resources Research and Education Center, AREEO, Shahrekord, I.R., Iran. mehdi.zandebasiri@yahoo.com.
This study quantifies forest management parameters in Iran
Area of Science:
- Forestry and Environmental Science
- Decision Science
Background:
- Forest management in the Zagros forests requires robust evaluation of complex factors.
- The Driving-Pressure-State-Impact-Response (DPSIR) framework provides a structure for assessing forest situations.
Purpose of the Study:
- To quantify forest situation parameters using decision-making and fuzzy methods.
- To evaluate socioeconomic, biophysical, and environmental factors influencing forest management in the Zagros region.
Main Methods:
- Fuzzy Analytic Hierarchy Process (FAHP) was employed for evaluating situation factors.
- The Chang method was used for fuzzy pairwise comparisons, incorporating [Formula: see text]-cuts.
Main Results:
- Decision-making processes are identified as crucial inputs for forest management planning.
- [Formula: see text]-cuts, after secondary analysis, can enhance decision-making quality by revealing significant ranking differences.
Conclusions:
- Decision-making techniques are vital for policy development in the Zagros forests.
- The FAHP method with [Formula: see text]-cuts is recommended for situations demanding high precision in parameter differentiation, despite its computational intensity.
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