Comparison and evaluation of three methods of multi attribute decision making methods in choosing the best plant species for environmental management (Case study: Chah Jam Erg)
Author(s):
Abstract:
Today, environmental crisis and loss of natural resources are the principle causes of the creation of environmental management systems. The optimal management of natural resources requires the assessment and classification of ecological and environmental potentials. Using this method, the abilities and restrictions of resources can be recognized, and their future trends can be predicted. Nebka landscape is the natural reaction of ecosystem against the stress of wind erosion and ecosystem tries to adjust wind stress by creating this landscape. Therefore, the development of Nebka is the best and most suitable method for quicksand stabilization in the study area, and the most adaptable type of Nebka species must be identified and selected for the development of the ecosystem. This important aim will not be achieved except through careful and scientific investigation of Nebka phenomenon. According to the present environmental conditions, a suitable method with high accuracy is required in order to evaluate and manage natural resources and environment for achieving sustainable development. The aim of this study was to select the best Nebka species for quicksand stabilization using their morphometric parameters analysis by multi attribute decision making (MADM) methods. The results of this study show that in three models, Haloxylon obtained the highest point. Therefore, it has the highest effect in stabilization of quicksand. For implementation of stabilization projects of mobile sands in the study area, development of Haloxylon Nebka systems have the highest importance and efficiency. The results of this study will be beneficial in systemic management of desert regions and stabilization projects of quicksand.
Keywords:
Language:
English
Published:
Natural Environment Change, Volume:1 Issue: 1, Summer - Autumn 2015
Pages:
49 to 62
https://www.magiran.com/p1571104
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