<p>Forest fire is a major calamity that jeopardizes property and human safety while posing a significant threat to forest resources and the natural ecosystem. Anticipating the likelihood of forest fires and mapping the forest fire vulnerable areas can offer valuable guidance for effective forest fire control and preventive measures. In recent years, Jammu &amp; Kashmir has experienced an increase in the frequency of forest fires, but there is a limited understanding regarding its spatiotemporal dimension. Based on five primary factors viz vegetation type, wind speed, aspect, slope, proximity to settlements and roads, forest fire vulnerable areas were mapped in Poonch forest division in Jammu &amp; Kashmir using the Fuzzy-Analytical Hierarchy Process. In addition, the vulnerable map has been validated using actual fire incidents. Forest fire vulnerable zones classified into four categories (unlikely, low, medium, and high) demonstrated that 65 compartments covering an area of 97.9&#xa0;km<sup>2</sup> are under the highly vulnerable zone in the Poonch forest division. Almost 47.96% of the study area falls under medium to highly vulnerable zones. The Fuzzy-AHP-based forest fire vulnerability strongly correlated with the locations of actually derived fire incidents, as 82.79% of points fall under highly vulnerable areas.</p>

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Assessing forest fire vulnerability with fuzzy-AHP: insights from Poonch forest division, Jammu and Kashmir

  • Furqan Ahmed Malik,
  • Fayma Mushtaq,
  • Majid Farooq,
  • L. T. Sasang Guite,
  • Shruti Kanga,
  • Gowhar Meraj,
  • Suraj Kumar Singh,
  • Pankaj Kumar

摘要

Forest fire is a major calamity that jeopardizes property and human safety while posing a significant threat to forest resources and the natural ecosystem. Anticipating the likelihood of forest fires and mapping the forest fire vulnerable areas can offer valuable guidance for effective forest fire control and preventive measures. In recent years, Jammu & Kashmir has experienced an increase in the frequency of forest fires, but there is a limited understanding regarding its spatiotemporal dimension. Based on five primary factors viz vegetation type, wind speed, aspect, slope, proximity to settlements and roads, forest fire vulnerable areas were mapped in Poonch forest division in Jammu & Kashmir using the Fuzzy-Analytical Hierarchy Process. In addition, the vulnerable map has been validated using actual fire incidents. Forest fire vulnerable zones classified into four categories (unlikely, low, medium, and high) demonstrated that 65 compartments covering an area of 97.9 km2 are under the highly vulnerable zone in the Poonch forest division. Almost 47.96% of the study area falls under medium to highly vulnerable zones. The Fuzzy-AHP-based forest fire vulnerability strongly correlated with the locations of actually derived fire incidents, as 82.79% of points fall under highly vulnerable areas.