Surviving of risk and tradeoff levels effects on land capability evaluation results in Fuzzy area (case study: Plasjan sub-basin)

Document Type : Research Paper


1 Environment PhD student, Isfahan university of technology, Member ship of Zabol university

2 associate professor of Isfahan university of technology, natural resource faculty

3 Associate professor of Isfahan university of technology, natural resource faculty, Iran

4 Assistant professor, Esfahan Agriculture And Natural Resources Research Center


Determining areas with high conservation capability is the best way to conserve biodiversity, structure and functions of an area. In this study for evaluating land conservation capability in Plasjan sub-basin, criteria were determined using Delphi method. Hierarchy of study was designed and the weights of criteria were calculated by applying analytical hierarchical process (AHP). All criteria maps were prepared, necessary pre-processing’s were done and criteria were standardized with Fuzzy and constraints were standardized using Boolean method. Land conservation capability maps for conservation were produced using multi criteria evaluation (MCE) with weighted linear combination (WLC) with medium risk and high trade-off levels and ordered weighted averaging (OWA) with medium risk and tradeoff level. Overlaying land-use/cover map on land conservation capability maps has shown that although WLC result is optimistic because it considered more area in high level conservation capability class, OWA result is more realistic with medium risk and tradeoff level by attention to current land conditions. results show in WLC and OWA methods 33.9 and 13.16 percent of area were given to moderate conservation capability 16.5 and 12.26 percent were given to high conservation capability repeatedly. Land-use/cover comprising with land conservation capability conservation maps, in both WLC and OWA has shown it is necessary to redesign all conservation area.


Volume 70, Issue 4
February 2018
Pages 843-855
  • Receive Date: 15 March 2017
  • Revise Date: 06 January 2018
  • Accept Date: 21 October 2017
  • First Publish Date: 22 December 2017