DETECTION OF HIGH POTENTIAL AREAS OF PERSIAN OAK DECLINE USING TOPSIS METHOD IN ZAGROS FORESTS, IRAN

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Mohammad Javad Moradi Hadi Kiadaliri Sasan Babaie Kafaky Hossein Bakhoda

Abstract

During the past decade, the phenomenon of Oak decline has affected valuable Zagros Oak Forests in western Iran. Quercus brantii as the most important tree species of these forests has been damaged more than any other species. Many parameters are involved in this phenomenon. The purpose of this study is to identify areas with high potential for decline and determine the most important parameters affecting it. Oak stands in Ilam Province face this problem more than any other area. In this study, using multi-criteria evaluation methods based on Geographic Information System (GIS) - Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method and fuzzy logic, the decline potential of two selected stands in this province was prepared to reveal the high risk areas of decline. The analytical hierarchical process was used to determine the weight of the parameters. The results showed that both selected stands had decline potential at all levels. But Cheghasabz is more at risk than Dalab. Also, socioeconomic parameters and pests and diseases had the greatest effect on Oak decline. These results confirm the need for greater focus of area management on the design of strategic protection plans.

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How to Cite
MORADI, Mohammad Javad et al. DETECTION OF HIGH POTENTIAL AREAS OF PERSIAN OAK DECLINE USING TOPSIS METHOD IN ZAGROS FORESTS, IRAN. CERNE, [S.l.], p. e-102640, mar. 2021. ISSN 2317-6342. Available at: <http://cerne.ufla.br/site/index.php/CERNE/article/view/2640>. Date accessed: 21 apr. 2021.
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