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Scientia Silvae Sinicae ›› 2024, Vol. 60 ›› Issue (11): 107-118.doi: 10.11707/j.1001-7488.LYKX20240134

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Forest Fire Risk Zoning of Artificial Forest Subcompartment in Saihanba Forest Farm Based on Fuel Characteristics

Yongquan Ding1,2(),Xiaoxiao Li1,Fengjun Zhao1,*,Liqing Si1,Lifu Shu1,Kaida Yan1,Jianhua Zhang3,Zhijie Peng3,Nuanyang Zhou1   

  1. 1. Ecology and Nature Conservation Institute,Chinese Academy of Forestry National Forestry and Grassland Fire Monitoring Early Warning and Prevention Engineering Technology Research Center Key Laboratory of Forest Protection of National Forestry and Grassland Administration  Beijing 100091
    2. Research Institute of Agriculture and Forestry of Daxing’anling Heilongjiang Nenjiang Source Forest Ecosystem National Positioning Observatory andResearch Station Jiagedaqi 165000
    3. Saihanba Mechanized Forest Farm Weichang 068466
  • Received:2024-03-08 Online:2024-11-25 Published:2024-11-30
  • Contact: Fengjun Zhao E-mail:953097190@qq.com

Abstract:

Objective: Using the Saihanba Mechanized Forest Farm as a case study, a forest fire risk zoning method based on forest combustible characteristics was established, providing a reference for fire risk zoning at the forest farm scale. Method: 15 fire risk influencing factors were selected, The analytic hierarchy process (AHP), expert scoring, and judgment matrix methods were used to derive the factor weights for ignition danger, fire intensity danger, and comprehensive fire risk at the plot scale. Based on plot survey data and determination of the combustible physical and chemical properties, the ignition danger index, fire intensity danger index, and comprehensive fire risk index for each plot were calculated. Cluster analysis and ArcGIS technology were used to generate zoning maps for ignition danger, fire intensity danger, and comprehensive fire risk within the forest farm, and to analyze the fire occurrence risk within the forest farm area. Result: 1) In the Saihanba Mechanized Forest Farm, the area of the extremely high ignition danger (VY) level accounts for 9.21% of the total area of the forest farm, mainly scattered in the west, south, and central parts of the farm; the high (ⅣY) and moderately high (ⅢY) levels have a wider distribution, with presence throughout the study area; The combined area of the higher than high levels (ⅢY, ⅣY, VY) accounts for 67.95%. 2) The area of the extremely high fire intensity danger (VQ) level is the largest, accounting for 46.42% of the total area of the forest farm, followed by the high level (ⅣQ), which accounts for 26.38%; the sum of the two levels is 72.8%, mainly concentrated in the south and west of the forest farm; the higher level (ⅢQ) accounts for 7.95% of the farm area, mainly distributed in the east. 3) The area of the high (ⅣZ) and moderately high (ⅢZ) comprehensive fire risk levels is large, accounting for 29.07% and 28.12%, respectively; the extremely high level (VZ) accounts for 19.13%; the moderately high and higher levels (ⅢZ, ⅣZ, and VZ) collectively account for 76.32% of the total area, mainly distributed in the west, south, and central parts of the forest farm. Conclusion: The fire risk zoning method established in this study, based on the AHP, cluster analysis, and ArcGIS technology, can effectively classify forest fire risk at the plot scale, generating zoning for ignition danger, fire intensity danger, and comprehensive fire risk, and is a valuable reference for the management of combustible materials at the forest farm level. The comprehensive fire risk level in the Saihanba Mechanized Forest Farm is very high, especially in the west, south, and central parts of the forest farm; the area of the extremely high (VQ) and high (ⅣQ) fire intensity danger levels is extensive, and once ignited, it is highly likely to cause high-intensity forest fires. The areas with high ignition danger and high fire intensity danger do not completely overlap. It is essential to strengthen fire source management and the management of flammable and combustible materials in areas with high ignition danger to reduce the probability of fire occurrence. In addition, the implementation of isolation belts located between areas with high fire intensity danger and high ignition danger is recommended to effectively prevent the rapid spread of potential fires to areas with high fire intensity danger, and to control the occurrence of large-scale disasters.

Key words: analytic hierarchy process(AHP), ArcGIS technology, forest fuel, risk, zoning

CLC Number: