期刊
TRENDS IN ECOLOGY & EVOLUTION
卷 37, 期 9, 页码 749-758出版社
CELL PRESS
DOI: 10.1016/j.tree.2022.04.010
关键词
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资金
- Natural Environment Research Council [NE/T000759/1]
- NRF Earth System Science [118604]
Grasses fuel most fires on Earth and their traits strongly influence local fire behavior. Variation in grass communities, including species and traits, leads to significant spatial variation in savanna fire regimes worldwide. However, current fire models lack the important variation in grassy fuels, limiting predictive power. Including grass trait diversity in models using remote sensing proxies can greatly improve our understanding and projection of savanna fires in the Earth system.
Grasses fuel most fires on Earth and strongly influence local fire behaviour through traits that determine how flammable they are. Therefore, grass communities that differ in their species and trait compositions give rise to significant spatial variation in savanna fire regimes across the world, which cannot be otherwise explained. Likewise, fire regimes are continuously modified by alterations to savanna grass community traits, through species introductions and climatic changes. However, current representation of grassy fuels in global fire models misses important varia-tion and therefore limits predictive power. The inclusion of grass trait diversity in models, using remotely sensed trait proxies, for example, will greatly improve our ability to understand and project savanna fires and their roles in the Earth system.
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