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[GIS-based forest fire risk zone mapping in Daxing'an Mountains].

Haiwei Yin1, Fanhua Kong, Xiuzhen Li

  • 1Department of Urban and Resources Sciences, Nanjing University, Nanjing 210093, China.

Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology
|August 23, 2005
PubMed
Summary

This study mapped forest fire risk in the Daxing'an Mountains using GIS, identifying over 60% of the area as moderate to extreme risk. The reliable model aids forest fire management and prevention efforts.

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Area of Science:

  • Forestry and Environmental Science
  • Geographic Information Systems (GIS) applications in natural resource management

Context:

  • The Daxing'an Mountains region faces significant forest fire challenges.
  • Accurate forest fire risk assessment is crucial for effective land management and ecological preservation.

Purpose:

  • To quantify and map forest fire risk zones in the Yuying and Fendou forest farms.
  • To develop a reliable GIS-based model for predicting forest fire risk using key environmental factors.

Summary:

  • A GIS-based factor-weights union method was employed, integrating vegetation type, altitude, slope, aspect, and settlement buffer to assess forest fire risk.
  • Four risk classes (low to extreme) were generated, with approximately 60.33% of the study area classified as upper moderate risk, indicating a substantial management burden.

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  • The model demonstrated high reliability by correlating strongly with historical fire data from 1987, showing distinct regional risk variations.

    • Impact:

    • The study provides a reliable forest fire risk zone map, serving as a critical reference for guiding forest fire management strategies.
    • Findings highlight the need for intensive forest fire management in over 60% of the assessed areas within the Daxing'an Mountains.
    • The validated GIS model can be applied to other regions for proactive forest fire prevention and mitigation planning.