Warming and Aridification Amplify Extreme Fire Weather Elevating Population Exposure in China

ABSTRACT Escalating extreme fire weather across China threatens global carbon cycling and ecological security, yet a comprehensive assessment of its climatic drivers and future population exposure risk is still lacking. Using ERA5 reanalysis (1981–2020), CMIP6 multi‐model outputs (2021–2100) and gridded population data, we conducted spatiotemporal analysis, climatic attribution and exposure assessment to address this gap. Results show that extreme FWI intensity (FWI ext_int ) and extreme FWI consecutive days (FWI ext_conday ) increased by 18 units per decade and 13 days per decade in China during 1981–2020, with the strongest trends in the Greater Khingan Mountains and Southeast China. Maximum temperature ( T max ) dominated FWI ext_int intensification trends, while vapour pressure deficit (VPD) governed prolongation of FWI ext_conday , both linked to warming and aridification. Under high‐emission scenario (SSP585), FWI ext_int and FWI ext_conday rise by ~15 units per decade and 30 days per decade, 2.5–6 times greater than that of medium‐emission scenario (SSP245). Population exposure in the mid‐21st century increased predominantly due to climate change, exhibiting a ‘southern high‐northern low’ pattern. By the late century, northern China shows negative exposure mainly due to population decline and migration, while southern positive exposure is still contributed by climate change. Our findings clarify extreme fire weather drivers, future danger and exposure dynamics in China, providing targeted insights for fire mitigation and aligning with national carbon neutrality goals and global sustainable development.

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Publication Details

Journal
International Journal of Climatology
Published
2026-05-27
DOI
https://doi.org/10.1002/joc.70440
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
0.00

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article

Warming and Aridification Amplify Extreme Fire Weather Elevating Population Exposure in China

Mengxin Bai, M L Wang, L Zhang, Pei Xing et al.
International Journal of Climatology
Fire effects on ecosystems
article

Warming and Aridification Amplify Extreme Fire Weather Elevating Population Exposure in China

Mengxin Bai, M L Wang, L Zhang, Pei Xing, Wupeng Du, Hui Zhang
article en

Abstract

ABSTRACT Escalating extreme fire weather across China threatens global carbon cycling and ecological security, yet a comprehensive assessment of its climatic drivers and future population exposure risk is still lacking. Using ERA5 reanalysis (1981–2020), CMIP6 multi‐model outputs (2021–2100) and gridded population data, we conducted spatiotemporal analysis, climatic attribution and exposure assessment to address this gap. Results show that extreme FWI intensity (FWI ext_int ) and extreme FWI consecutive days (FWI ext_conday ) increased by 18 units per decade and 13 days per decade in China during 1981–2020, with the strongest trends in the Greater Khingan Mountains and Southeast China. Maximum temperature ( T max ) dominated FWI ext_int intensification trends, while vapour pressure deficit (VPD) governed prolongation of FWI ext_conday , both linked to warming and aridification. Under high‐emission scenario (SSP585), FWI ext_int and FWI ext_conday rise by ~15 units per decade and 30 days per decade, 2.5–6 times greater than that of medium‐emission scenario (SSP245). Population exposure in the mid‐21st century increased predominantly due to climate change, exhibiting a ‘southern high‐northern low’ pattern. By the late century, northern China shows negative exposure mainly due to population decline and migration, while southern positive exposure is still contributed by climate change. Our findings clarify extreme fire weather drivers, future danger and exposure dynamics in China, providing targeted insights for fire mitigation and aligning with national carbon neutrality goals and global sustainable development.

International Journal of Climatology
University of Connecticut (US), Chinese Academy of Forestry (CN), Beijing Meteorological Bureau (CN), Institute of Forest Ecology, Environment and Protection (CN), Beijing Academy of Science and Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 7%
Fire effects on ecosystems
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