Developing a Model for Zoning Protected Areas Based on the Entropy Shannon Technique (Case Study: Mangrove Protected Area)
Subject Areas : landusenaghmeh sharifi 1 , Afshin Danehkar 2 * , MARYAM ROBATI 3 , nemat alla Khorasani 4 , taher rajaii 5
1 - PhD Student in Environmental Science, Department of Environmental Science, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 - Department of Environmental Science, Faculty of Natural Resources, University of Tehran, Karaj, Iran. *(Corresponding Authors)
3 - Department of Environmental Science, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.
4 - Department of Environmental Science, Faculty of Natural Resources, University of Tehran, Karaj, Iran.
5 - Department of Civil Engineering, University of Qom, Qom, Iran.
Keywords: Zoning, Multi criteria analysis, Criteria liner models, protected area, Hara.,
Abstract :
Background and Objective: The main purpose of zoning natural environments under management is to describe and determine different levels of protection and to separate sensitive and vulnerable areas. In this study, an attempt has been made to zoning the mangrove protected area to provide the basis for the optimal management of the area in order to achieve the protection objectives emphasized by the Department of Environment and the International Union for Conservation of Nature.
Material and Methodology: The Hara protected area, as a sensitive marine area with the largest area of mangrove forests in Iran, with an area of 86258 hectares is located between the two cities of Bandar Khamir and Qeshm in Hormozgan province. In the zoning process, after identifying criteria with ecological and human nature for each of the eleven zones and screening them by Delphi method, the criteria were weighted using Shannon entropy decision method, then a linear model of combining spatial criteria was developed and in GIS environment. They were layered and combined, and zoning map was prepared as planning units in the region.
Findings: The result of zoning in the Hara protected area shows restricted nature zones 12.40%, protection Zone 14.83%, Extensive Use Zone 3.28%, Intensive Use Zone 0.65%, cultural and historical Zone 0.07%, Special Use Zone 0.11%, Buffer Zone 63. 90%, Scientific Zone 0.21% and Other Uses Zone 4.54% of the total area.
Discussion and Conclusion: Summarizing the research results showed that using zoning models of spatial criteria, zoning of areas can be provided correctly and while preserving ecological and human values.
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