标题：Prioritizing s tresses and d isturbances a ffecting m angrove f orests u sing Fuzzy Analytic Hierarchy Process (FAHP) . C ase s tudy: m angrove f orests of Hormozgan Province, Iran
期刊名称：Advances in Environmental Sciences - International Journal of the Bioflux Society
印刷版ISSN：2066-7620
电子版ISSN：2065-7647
出版年度：2015
卷号：7
期号：3
页码：442-459
出版社：Bioflux
摘要：Nowadays, preventing and/or mitigating unfavorable consequences of increasing vulnerability of forest ecosystems ha s became one of the most important goals of natural resources managers all over the world. Achieving this goal requires use of methods which can provide scientific and on time decision making for managers. Among these methods, Fuzzy Analytic Hierarchy Process (FAHP), due to scientific validity and applicability at different multidisciplinary levels, is approp riate for decision making in complex conditions and in confronting to multiple criteria. In this study, this method was used for prioritizing the multiple negative factors (stresses and disturbances) affecting on mangrove forests. Results showed that regar ding to current status of mangrove forests of Iran, anthropogenic stresses and disturbances generally have more importance than other negatively effective factors, so, pollutants emission and engineering interventions in coasts were placed in the first and third priority in the final ranking, respectively. Results also showed that among various climatic effective factors, sea level rise has higher importance than other factors (placed in the second rank). The results weren't unexpected at all, other scienti sts in the other parts of the world also expressed that sea level rise is one of the most important climatic factors affecting on current and future decrease of area and health of mangroves in all over the world. Results of this study could be used as deci sion making supporting tool and play an important role in efficiency and success of sustainable planning and management of mangrove forests in Iran and other similar mangroves of Persian Gulf
关键词：destructive factors; multi criteria analysis; mangro ; ves; Iran
