Plants, Photosynthesis and Soil, School of Biosciences, University of Sheffield, Sheffield, UK; Department of Botany, Rhodes University, Makhanda, South Africa.
Centre for African Ecology, School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Trends Ecol Evol. 2022 Sep;37(9):749-758. doi: 10.1016/j.tree.2022.04.010. Epub 2022 May 13.
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 variation 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.
草是地球上引发大多数火灾的元凶,其特性决定了它们的易燃程度,从而强烈影响着局部的火灾行为。因此,在物种和特性组成上存在差异的草类群落,导致了世界各地热带稀树草原火灾的发生频率存在显著的空间差异,而这种差异无法用其他因素来解释。同样,通过引入外来物种和气候变化,草原草类群落特性的改变也在不断地对火灾发生的频率进行修正。然而,当前全球火灾模型对草本燃料的描述存在重要的差异,因此限制了其预测能力。通过使用遥感特性替代物等方法,在模型中纳入草类多样性特性,将极大地提高我们理解和预测热带稀树草原火灾及其在地球系统中作用的能力。