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将植物生理学纳入火灾行为和影响模拟中。

Integrating plant physiology into simulation of fire behavior and effects.

机构信息

Earth & Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.

San Diego Supercomputer Center and Halicioglu Data Science Institute, University of California San Diego, La Jolla, CA, 92093, USA.

出版信息

New Phytol. 2023 May;238(3):952-970. doi: 10.1111/nph.18770. Epub 2023 Feb 14.

Abstract

Wildfires are a global crisis, but current fire models fail to capture vegetation response to changing climate. With drought and elevated temperature increasing the importance of vegetation dynamics to fire behavior, and the advent of next generation models capable of capturing increasingly complex physical processes, we provide a renewed focus on representation of woody vegetation in fire models. Currently, the most advanced representations of fire behavior and biophysical fire effects are found in distinct classes of fine-scale models and do not capture variation in live fuel (i.e. living plant) properties. We demonstrate that plant water and carbon dynamics, which influence combustion and heat transfer into the plant and often dictate plant survival, provide the mechanistic linkage between fire behavior and effects. Our conceptual framework linking remotely sensed estimates of plant water and carbon to fine-scale models of fire behavior and effects could be a critical first step toward improving the fidelity of the coarse scale models that are now relied upon for global fire forecasting. This process-based approach will be essential to capturing the influence of physiological responses to drought and warming on live fuel conditions, strengthening the science needed to guide fire managers in an uncertain future.

摘要

野火是全球性的危机,但当前的火灾模型未能捕捉到植被对气候变化的响应。随着干旱和高温增加了植被动态对火灾行为的重要性,以及能够捕捉日益复杂物理过程的下一代模型的出现,我们重新关注火灾模型中木质植被的表示。目前,最先进的火灾行为和生物物理火灾效应的表示方法存在于不同类别的细尺度模型中,无法捕捉活燃料(即活体植物)特性的变化。我们证明,影响燃烧和热量向植物传递并经常决定植物生存的植物水分和碳动态,为火灾行为和效应之间提供了机械联系。我们将植物水分和碳的遥感估算与火灾行为和效应的细尺度模型联系起来的概念框架,可能是提高目前用于全球火灾预测的粗尺度模型逼真度的关键第一步。这种基于过程的方法对于捕捉干旱和变暖对活燃料条件的生理响应的影响至关重要,为指导火灾管理人员应对不确定的未来提供必要的科学支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec31/10952334/1391a90ec537/NPH-238-952-g005.jpg

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