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全球生态系统与火灾:火灾导致的树木覆盖和碳储量减少的多模型评估。

Global ecosystems and fire: Multi-model assessment of fire-induced tree-cover and carbon storage reduction.

机构信息

Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany.

Department of Earth System Sciences, University of California Irvine, Irvine, CA, USA.

出版信息

Glob Chang Biol. 2020 Sep;26(9):5027-5041. doi: 10.1111/gcb.15160. Epub 2020 Jun 27.

Abstract

In this study, we use simulations from seven global vegetation models to provide the first multi-model estimate of fire impacts on global tree cover and the carbon cycle under current climate and anthropogenic land use conditions, averaged for the years 2001-2012. Fire globally reduces the tree covered area and vegetation carbon storage by 10%. Regionally, the effects are much stronger, up to 20% for certain latitudinal bands, and 17% in savanna regions. Global fire effects on total carbon storage and carbon turnover times are lower with the effect on gross primary productivity (GPP) close to 0. We find the strongest impacts of fire in savanna regions. Climatic conditions in regions with the highest burned area differ from regions with highest absolute fire impact, which are characterized by higher precipitation. Our estimates of fire-induced vegetation change are lower than previous studies. We attribute these differences to different definitions of vegetation change and effects of anthropogenic land use, which were not considered in previous studies and decreases the impact of fire on tree cover. Accounting for fires significantly improves the spatial patterns of simulated tree cover, which demonstrates the need to represent fire in dynamic vegetation models. Based upon comparisons between models and observations, process understanding and representation in models, we assess a higher confidence in the fire impact on tree cover and vegetation carbon compared to GPP, total carbon storage and turnover times. We have higher confidence in the spatial patterns compared to the global totals of the simulated fire impact. As we used an ensemble of state-of-the-art fire models, including effects of land use and the ensemble median or mean compares better to observational datasets than any individual model, we consider the here presented results to be the current best estimate of global fire effects on ecosystems.

摘要

在本研究中,我们利用七个全球植被模型的模拟结果,首次提供了在当前气候和人为土地利用条件下,全球火灾对树木覆盖和碳循环影响的多模型估计,该结果基于 2001 年至 2012 年的平均值。火灾使全球的树木覆盖面积和植被碳储量减少了 10%。在区域范围内,影响更为强烈,某些纬度带的影响高达 20%,而在热带稀树草原地区的影响则达到 17%。全球火灾对总碳储量和碳周转时间的影响较低,对总初级生产力(GPP)的影响接近 0。我们发现火灾的影响在热带稀树草原地区最为强烈。高燃烧面积地区的气候条件与高绝对火灾影响地区不同,后者的特点是降水较高。我们对火灾引起的植被变化的估计低于以前的研究。我们将这些差异归因于植被变化的不同定义以及以前的研究中未考虑到的人为土地利用的影响,这降低了火灾对树木覆盖的影响。考虑火灾显著改善了模拟树木覆盖的空间模式,这表明在动态植被模型中需要代表火灾。通过比较模型与观测结果、模型中的过程理解和表示,我们对火灾对树木覆盖和植被碳的影响的置信度高于 GPP、总碳储量和周转时间。我们对空间模式的置信度高于模拟火灾影响的全球总量。由于我们使用了一组最先进的火灾模型,包括土地利用的影响,且集合中位数或平均值比任何单个模型更能与观测数据集进行比较,因此我们认为目前提出的结果是全球火灾对生态系统影响的当前最佳估计。

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