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高强度野火的一致空间尺度可以为预期的未来燃烧严重程度模式提供信息。

Consistent spatial scaling of high-severity wildfire can inform expected future patterns of burn severity.

机构信息

Quantitative Ecology and Resource Management, University of Washington, Seattle, Washington, USA.

School of Environmental and Forest Sciences, University of Washington, Seattle, Washington, USA.

出版信息

Ecol Lett. 2023 Oct;26(10):1687-1699. doi: 10.1111/ele.14282. Epub 2023 Jun 21.

Abstract

Increasing wildfire activity in forests worldwide has driven urgency in understanding current and future fire regimes. Spatial patterns of area burned at high severity strongly shape forest resilience and constitute a key dimension of fire regimes, yet remain difficult to predict. To characterize the range of burn severity patterns expected within contemporary fire regimes, we quantified scaling relationships relating fire size to patterns of burn severity. Using 1615 fires occurring across the Northwest United States between 1985 and 2020, we evaluated scaling relationships within fire regimes and tested whether relationships vary across space and time. Patterns of high-severity fire demonstrate consistent scaling behaviour; as fire size increases, high-severity patches consistently increase in size and homogeneity. Scaling relationships did not differ substantially across space or time at the scales considered here, suggesting that as fire-size distributions potentially shift, stationarity in patch-size scaling can be used to infer future patterns of burn severity.

摘要

全球范围内野火活动的增加促使人们迫切需要了解当前和未来的火灾情况。高强度火烧区域的空间分布模式强烈影响森林的恢复力,是火灾情况的一个关键维度,但仍难以预测。为了描述当代火灾情况中预期的火烧严重程度模式范围,我们量化了火灾规模与火烧严重程度模式之间的关系。利用 1985 年至 2020 年期间在美国西北部发生的 1615 起火灾,我们评估了火灾情况内的尺度关系,并测试了这些关系是否因空间和时间而异。高强度火烧的模式表现出一致的尺度行为;随着火灾规模的增加,高强度火烧斑块的大小和同质性也在持续增加。在考虑的尺度内,空间或时间上的尺度关系没有显著差异,这表明随着火灾规模分布可能发生变化,斑块规模尺度的稳定性可以用来推断未来的火烧严重程度模式。

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