Assessment of land forestry capability using multi criteria evaluation and fuzzy analytical hierarchy process method

Document Type : Research Paper

Authors

university of zabol, hamoun international wetland institute

Abstract

     Plasjan sub-basin is located in the west of Gavkhoni basin between Isfahan and Chaharmahal-Bakhtiari provinces and has forest zones. Forest ecosystem has important roles such as runoff controlling, ecotourism and preparing wildlife habitat. Therefore, determination of land capability is essential for forest conservation, restoration and development through modeling of land forestry capability. To achieve this goal and to reduce the uncertainty in model preparation, a combination of multi-criteria evaluation and fuzzy analytical hierarchy process method was used. The criteria were determined according to the experts and reviewing the references, their weights were calculated using fuzzy analytical hierarchy process, the criteria and sub-criteria were standardized applying fuzzy and constraints by Boolean methods. The data layers were combined using a weighted linear combination model and a reclassification map was prepared to develop the land forestry capability model. Survey of the produced maps showed that areas with high potential for forestry activities were 9.6% of the total area and in accordance with the current distribution of forests which due to the appropriateness of evaluation criteria, were located in southwestern areas. The results of this study revealed that although the WLC method with high trade-off level was used, due to the relative limitation of some criteria such as high lime content, high slope and elevation and low temperature in some areas, 77 % of the Plasjan area is moderately and less suitable for forestry activities.
 
 

Keywords

References

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Iranian Journal of Forest and Range Protection Research
Volume 17, Issue 1 - Serial Number 33
September 2019
Pages 26-39

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History

  • Receive Date: 07 January 2019
  • Revise Date: 08 June 2019
  • Accept Date: 05 August 2019

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