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Detection of high fire risk areas in Zagros Oak forests using geospatial methods with GIS techniques

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Abstract

Every year, fires, as natural crises, destroy forests as an important part of the environment. Identifying the effective factors in the occurrence of fires and identifying high-risk areas is the primary measure to address fires. In this study, high-risk areas in Zagros forests in Kohgiluyeh and Boyer-Ahmad Province in western Iran were zoned based on three GIS methods (ANP and fuzzy, Dong model, and CFRISK model). Biological, physiographic, climatic, and socio-economic criteria in the form of 11 sub-criteria were ranked as effective parameters in the occurrence of fire by ANP method. The results showed that the parameters of distance from farmlands, residential areas, and land use were the main factors affecting the occurrence of fires in forest ecosystems of the region. Multi-criteria decision analysis with more parameters and higher accuracy based on validation has performed better than the other two methods. The map of high-risk areas with this method can play an important role in assessing the sensitivity of forest areas and making the right management decisions in fire prevention and extinguishing in these valuable resources.

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Data availability

The datasets used and/or analyzed during this study are available from the corresponding author. The datasets supporting the conclusions of this article are included within the article.

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Authors and Affiliations

  1. Department of Forestry, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Mohadeseh Ghanbari Motlagh

  2. Department of Forestry, Faculty of Natural Resources, University of Tehran, Karaj, Iran

    Ahmad Abbasnezhad Alchin

  3. Department of Agriculture and Natural Resources, Abhar Branch, Islamic Azad University, Abhar, Iran

    Maryam Daghestani

Authors
  1. Mohadeseh Ghanbari Motlagh
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  2. Ahmad Abbasnezhad Alchin
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  3. Maryam Daghestani
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Correspondence to Mohadeseh Ghanbari Motlagh.

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Responsible Editor: Amjad Kallel.

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Ghanbari Motlagh, M., Abbasnezhad Alchin, A. & Daghestani, M. Detection of high fire risk areas in Zagros Oak forests using geospatial methods with GIS techniques. Arab J Geosci 15, 835 (2022). https://doi.org/10.1007/s12517-022-10096-4

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