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Producing forest fire susceptibility map via multi-criteria decision analysis and frequency ratio methods

Author

Listed:
  • Deniz Arca

    (Dokuz Eylul University)

  • Mercan Hacısalihoğlu

    (Zonguldak Forest District Directorate)

  • Ş. Hakan Kutoğlu

    (Bülent Ecevit University)

Abstract

Located in the Mediterranean basin, one of the world’s leading places in terms of forest fires, Turkey is one of the countries where forest fires are experienced very often due to both natural and socio-economic conditions. The objective of this study is to conduct a forest fire susceptibility analysis within the boundaries of Karabük Forestry Directorate. This analysis was conducted considering the factors affecting the forest fire risk (elevation, slope, aspect, distance to road lines, distance to settlement, land surface temperature and stand type). The factors used in the study were analyzed using geographic information systems (GIS) techniques and analytic hierarchy process method and frequency ratio method. The forest fire susceptibility map produced was classified in 5 categories including very low, low, moderate, high and very fire susceptibility. In order to see how much the forest fire susceptibility map produced corresponds to reality, the forest fire susceptibility maps and the forest fire inventory map were highly compared, and a 73.92% correspondence was detected according to the multi-criteria decision analysis method, while a 76.42% correspondence was detected in the frequency ratio method. As a result, it was concluded that high- and very high-sensitive areas were dominant in the study area, and the site had a high forest fire potential. Ultimately, this study indicated that GIS could be used as a tool to help make effective decisions during forest fire planning.

Suggested Citation

  • Deniz Arca & Mercan Hacısalihoğlu & Ş. Hakan Kutoğlu, 2020. "Producing forest fire susceptibility map via multi-criteria decision analysis and frequency ratio methods," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 73-89, October.
    • Handle: RePEc:spr:nathaz:v:104:y:2020:i:1:d:10.1007_s11069-020-04158-7
    DOI: 10.1007/s11069-020-04158-7
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    References listed on IDEAS

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    1. Bennie, Jonathan & Huntley, Brian & Wiltshire, Andrew & Hill, Mark O. & Baxter, Robert, 2008. "Slope, aspect and climate: Spatially explicit and implicit models of topographic microclimate in chalk grassland," Ecological Modelling, Elsevier, vol. 216(1), pages 47-59.
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    Cited by:

    1. Özer Akyürek, 2023. "Spatial and temporal analysis of vegetation fires in Europe," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 1105-1124, May.
    2. Laraib Ahmad & Sameer Saran, 2024. "Anthropogenic evidences as precursors to forest fire trigger in Western Himalayan Region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 16827-16846, July.
    3. Hazem Ghassan Abdo & Hussein Almohamad & Ahmed Abdullah Al Dughairi & Motirh Al-Mutiry, 2022. "GIS-Based Frequency Ratio and Analytic Hierarchy Process for Forest Fire Susceptibility Mapping in the Western Region of Syria," Sustainability, MDPI, vol. 14(8), pages 1-20, April.

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