Detection of high potential areas of persian oak forests decline in Zagros, Iran, using topsis method

Background: During the past decade, phenomenon of Oak decline has affected valuable Zagros Forests in western Iran. Quercus brantii as most important tree species these forests been damaged more than any other species. Many factors are involved this phenomenon. The purpose study was to identify areas with high potential for and determine affecting it. In study, using multi-criteria evaluation methods based on Geographic Information System (GIS) Technique Order Preference by Similarity Ideal Solution (TOPSIS) method fuzzy logic, map two selected stands (Dalab Cheghasabz) Ilam Province prepared reveal high-risk decline. analytical hierarchical process used weight factors. Results: results showed that both had potential. However, Dalab stand at 25% Cheghasabz, approximately 60% an extreme Rainfall factors, pests, diseases also have greatest effect forest Conclusion: Due socio-economic problems such land use change, fire, tourism, grazing, pruning, Cheghasabz is prone Dalab, which a reserve. model can be guide identifying parts forests. large area critical regions reveals need planning implement support operations reconstruct ecosystems.