Journal of Northwest Forestry University, Volume. 40, Issue 4, 175(2025)
Study on Forest Fire Occurrence Prediction Model and Fire Risk Zoning in the Qinling Mountains
[3] [3] BOND W J, KEELEY J E. Fire as a global ‘herbivore’: The ecology and evolution of flammable ecosystems[J]. Trends in Ecology & Evolution, 2005, 20(7): 387-394.
[4] [4] ALKHATIB R, SAHWAN W, ALKHATIEB A, et al. A brief review of machine learning algorithms in forest fires science[J]. Applied Sciences, 2023, 13(14): 8275.
[5] [5] PECHONY O, SHINDELL D T. Driving forces of global wildfires over the past millennium and the forthcoming century[J]. Proceedings of the National Academy of Sciences of the United States of America, 2010, 107(45): 19167-19170.
[6] [6] ZHANG Y J, QIN D, YUAN W, et al. Historical trends of forest fires and carbon emissions in China from 1988 to 2012[J]. Journal of Geophysical Research: Biogeosciences, 2016, 121(9): 2506-2517.
[7] [7] FRIED J S, GILLESS J K, RILEY W J, et al. Predicting the effect of climate change on wildfire behavior and initial attack success[J]. Climatic Change, 2008, 87(1): 251-264.
[8] [8] FRIED J S, TORN M S, MILLS E. The impact of climate change on wildfire severity: A regional forecast for northern California[J]. Climatic Change, 2004, 64(1): 169-191.
[9] [9] BOUSFIELD C G, LINDENMAYER D B, EDWARDS D P. Substantial and increasing global losses of timber-producing forest due to wildfires[J]. Nature Geoscience, 2023, 16(12): 1145-1150.
[12] [12] HUSSIN Y A, MATAKALA M, ZAGDAA N. The applications of remote sensing and GIS in modeling forest fire hazard in Mongolia[C]//XXI ISPRS Congress 2008: Silk Road for Information from Imagery, 2008.
[15] [15] CARDILLE J A, VENTURA S J, TURNER M G. Environmental and social factors influencing wildfires in the upper Midwest, United States[J]. Ecological Applications, 2001, 11(1): 111.
[33] [33] DAVIES D K, ILAVAJHALA S, WONG M M, et al. Fire information for resource management system: Archiving and distributing MODIS active fire data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(1): 72-79.
[35] [35] HE J, YANG K, TANG W J, et al. The first high-resolution meteorological forcing dataset for land process studies over China[J]. Scientific Data, 2020, 7: 25.
[36] [36] TIEN BUI D, LE K T, NGUYEN V C, et al. Tropical forest fire susceptibility mapping at the cat Ba National Park area, Hai phong city, Vietnam, using GIS-based kernel logistic regression[J]. Remote Sensing, 2016, 8(4): 347.
[41] [41] WANG Z L, LAI C G, CHEN X H, et al. Flood hazard risk assessment model based on random forest[J]. Journal of Hydrology, 2015, 527: 1130-1141.
[42] [42] SYPHARD A D, RADELOFF V C, KEELEY J E, et al. Human influence on California fire regimes[J]. Ecological Applications, 2007, 17(5): 1388-1402.
[43] [43] HUANG X, LI M M, LI J F, et al. A high-resolution emission inventory of crop burning in fields in China based on MODIS Thermal Anomalies/Fire products[J]. Atmospheric Environment, 2012, 50: 9-15.
[44] [44] BENALI A, MOTA B, CARVALHAIS N, et al. Bimodal fire regimes unveil a global-scale anthropogenic fingerprint[J]. Global Ecology and Biogeography, 2017, 26(7): 799-811.
[45] [45] MINNICH R A, BAHRE C J. Wildland fire and chaparral succession along the California Baja-California boundary[J]. International Journal of Wildland Fire, 1995, 5(1): 13.
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TANG Yingxue, HUANG Yuancheng, ZHAO Guoliang. Study on Forest Fire Occurrence Prediction Model and Fire Risk Zoning in the Qinling Mountains[J]. Journal of Northwest Forestry University, 2025, 40(4): 175
Received: Jun. 14, 2024
Accepted: Sep. 12, 2025
Published Online: Sep. 12, 2025
The Author Email: HUANG Yuancheng (yuanchenghuang@xust.edu.cn)