温带气旋
闪电(连接器)
环境科学
气候学
雷击
气候变化
火情
自然灾害
大气科学
气象学
雷雨
地理
生态学
地质学
功率(物理)
物理
量子力学
生态系统
生物
作者
Thomas Janßen,Matthew W. Jones,D. J. Finney,Guido R. van der Werf,Dave van Wees,Wenxuan Xu,Sander Veraverbeke
标识
DOI:10.1038/s41561-023-01322-z
摘要
Abstract Fires can be ignited by people or by natural causes, which are almost exclusively lightning strikes. Discriminating between lightning and anthropogenic fires is paramount when estimating impacts of changing socioeconomic and climatological conditions on fire activity. Here we use reference data of fire ignition locations, cause and burned area from seven world regions in a machine-learning approach to obtain a global attribution of lightning and anthropogenic ignitions as dominant fire ignition sources. We show that 77% (uncertainty expressed as one standard deviation = 8%) of the burned area in extratropical intact forests currently stems from lightning and that these areas will probably experience 11 to 31% more lightning per degree warming. Extratropical forests are of global importance for carbon storage. They currently experience high fire-related forest losses and have, per unit area, among the largest fire emissions on Earth. Future increases in lightning in intact forest may therefore compound the positive feedback loop between climate change and extratropical wildfires.
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