<p>Forest fire risk has become a growing concern worldwide, yet fine-scale spatial risk assessments at the township level remain insufficient for many fire-prone regions. This study aimed to characterize spatial risks of forest fires in Huichuan District, Zunyi City, Guizhou Province, China. We selected 16 standardized forest fire risk indicators from the Secondary Platform of the National Forest and Grassland Fire Risk Census. We assessed forest fire risk via field surveys of wildland combustible materials, multi-source data sharing, mathematical statistics, and literature analysis. The results showed that among the 21,210 forest sub-compartments for forest fire risk assessment in Huichuan District, 9,263 (43.67%), 11,941 (56.30%), and 6 (0.02%) were classified as high, medium-high, and medium-low risk, respectively. Of the 1,988 standardized grids, 68, 1,523, 208, 186, and 3 showed high, medium-high, medium-low, low, and no risks, respectively, with medium-high to high risks accounting for 64.18% of the grids. The township-level risk assessment divided the area into three risk categories: low, medium-low, and medium-high, assigned to three, two, and nine township-level assessment units, representing 0.91%, 5.49%, and 93.67% of the total area, respectively. Among the township evaluation units, two showed medium-low risk (Gaoqiao Street and Donggongsi Street), nine showed medium-high risk, and three showed low risk (Xima Road, Shanghai Road, and Dalian Road). These findings provide a spatially explicit basis for prioritizing fuel load reduction, optimizing fire prevention resources, and guiding targeted management interventions in high-risk townships and during critical seasons.</p>

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Spatio-Temporal Forest Fire Risk Assessment in Huichuan District, China: Integrating Combustible Load, Topography, and Anthropogenic Factors

  • Yi Wang,
  • Rong Yang,
  • Yi Sun,
  • Fen Liang,
  • Zhiyuan Zhang

摘要

Forest fire risk has become a growing concern worldwide, yet fine-scale spatial risk assessments at the township level remain insufficient for many fire-prone regions. This study aimed to characterize spatial risks of forest fires in Huichuan District, Zunyi City, Guizhou Province, China. We selected 16 standardized forest fire risk indicators from the Secondary Platform of the National Forest and Grassland Fire Risk Census. We assessed forest fire risk via field surveys of wildland combustible materials, multi-source data sharing, mathematical statistics, and literature analysis. The results showed that among the 21,210 forest sub-compartments for forest fire risk assessment in Huichuan District, 9,263 (43.67%), 11,941 (56.30%), and 6 (0.02%) were classified as high, medium-high, and medium-low risk, respectively. Of the 1,988 standardized grids, 68, 1,523, 208, 186, and 3 showed high, medium-high, medium-low, low, and no risks, respectively, with medium-high to high risks accounting for 64.18% of the grids. The township-level risk assessment divided the area into three risk categories: low, medium-low, and medium-high, assigned to three, two, and nine township-level assessment units, representing 0.91%, 5.49%, and 93.67% of the total area, respectively. Among the township evaluation units, two showed medium-low risk (Gaoqiao Street and Donggongsi Street), nine showed medium-high risk, and three showed low risk (Xima Road, Shanghai Road, and Dalian Road). These findings provide a spatially explicit basis for prioritizing fuel load reduction, optimizing fire prevention resources, and guiding targeted management interventions in high-risk townships and during critical seasons.