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Abstract
China is a key region for understanding fire activity and the drivers of its variability under strict fire suppression policies. Here, we present a detailed fire occurrence dataset for China, the Wildfire Atlas of China (WFAC; 2005–2018), based on continuous monitoring from multiple satellites and calibrated against field observations. We find that wildfires across China mostly occur in the winter season from January to April and those fire occurrences generally show a decreasing trend after reaching a peak in 2007. Most wildfires (84%) occur in subtropical China, with two distinct clusters in its southwestern and southeastern parts. In southeastern China, wildfires are mainly promoted by low precipitation and high diurnal temperature ranges, the combination of which dries out plant tissue and fuel. In southwestern China, wildfires are mainly promoted by warm conditions that enhance evaporation from litter and dormant plant tissues. We further find a fire occurrence dipole between southwestern and southeastern China that is modulated by the El Niño-Southern Oscillation (ENSO).
Fire activity in China and its associations with climate are not well quantified at a local scale. Here, the authors present a detailed fire occurrence dataset for China and find a dipole fire pattern between southwestern and southeastern China that is modulated by the El Niño-Southern Oscillation (ENSO).
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1 Fujian Normal University, Key Laboratory of Humid Subtropical Eco-geographical Process (Ministry of Education), College of Geographical Sciences, Fuzhou, China (GRID:grid.411503.2) (ISNI:0000 0000 9271 2478); University of Gothenburg, Regional Climate Group, Department of Earth Sciences, Gothenburg, Sweden (GRID:grid.8761.8) (ISNI:0000 0000 9919 9582)
2 National Forestry and Grassland Administration (National Park Administration), Beijing, China (GRID:grid.8761.8); China Fire and Rescue Institute, Beijing, China (GRID:grid.8761.8)
3 Excellence in Life and Paleoenvironment, Beijing, China (GRID:grid.8761.8); Chinese Academy of Sciences, Institute of Geology and Geophysics, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309)
4 Colorado State University, Department of Statistics, Fort Collins, USA (GRID:grid.47894.36) (ISNI:0000 0004 1936 8083)
5 Ministry of Emergency Management, Department of Fire Warning, Beijing, China (GRID:grid.47894.36)
6 China Fire and Rescue Institute, Beijing, China (GRID:grid.47894.36)
7 National Forestry and Grassland Administration (National Park Administration), Beijing, China (GRID:grid.47894.36)
8 University of Gothenburg, Regional Climate Group, Department of Earth Sciences, Gothenburg, Sweden (GRID:grid.8761.8) (ISNI:0000 0000 9919 9582)
9 Fujian Normal University, Key Laboratory of Humid Subtropical Eco-geographical Process (Ministry of Education), College of Geographical Sciences, Fuzhou, China (GRID:grid.411503.2) (ISNI:0000 0000 9271 2478); University of Toronto, Department of Geography and Planning, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938)
10 Leibniz-Institute of Atmospheric Physics, Rostock, Germany (GRID:grid.440996.6) (ISNI:0000 0000 9329 7464)
11 University of Arizona, Laboratory of Tree-Ring Research, Tucson, USA (GRID:grid.134563.6) (ISNI:0000 0001 2168 186X)