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风暴是热带森林变化的重要驱动因素。

Storms Are an Important Driver of Change in Tropical Forests.

作者信息

Gora Evan M, McGregor Ian R, Muller-Landau Helene C, Burchfield Jeffrey C, Cushman K C, Rubio Vanessa E, Mori Gisele Biem, Sullivan Martin J P, Chmielewski Matthew W, Esquivel-Muelbert Adriane

机构信息

Cary Institute of Ecosystem Studies, New York, New York, USA.

Smithsonian Tropical Research Institute, Balboa, Republic of Panama.

出版信息

Ecol Lett. 2025 Jul;28(7):e70157. doi: 10.1111/ele.70157.

DOI:10.1111/ele.70157
PMID:40631374
Abstract

Tropical forest dynamics and composition have changed over recent decades, but the proximate drivers of these changes remain unclear. Investigations into these trends have focused on increasing drought stress, CO, temperature, and fires, whereas convective storms are generally overlooked. We argue that existing literature provides clear support for the importance of storms as drivers of forest change. We reanalyze the largest plot-based study of tropical forest carbon dynamics to show that lightning frequency-an indicator of storm activity-strongly predicts forest carbon storage and residence time, and its inclusion improves model fit and weakens evidence for the effects of high temperatures. Convective storm activity has increased 5%-25% per decade over the past half century. Extrapolating from historic trends, we estimate that storms likely contribute ca. 50% of the reported increases in biomass mortality across Amazonia, with all realistic combinations of assumptions indicating a possible range of 12%-118%. Spatial variation in storm activity shows weak relationships with drought, demonstrating that forests can experience high drought stress, high storm activity, or both. Accordingly, we hypothesise that convective storms are among the most important drivers of tropical forest change, and as such, they require significant research investment to avoid misguiding science, policy, and management.

摘要

近几十年来,热带森林的动态和组成发生了变化,但这些变化的直接驱动因素仍不明确。对这些趋势的调查主要集中在干旱压力增加、二氧化碳、温度和火灾上,而对流风暴通常被忽视。我们认为,现有文献明确支持风暴作为森林变化驱动因素的重要性。我们重新分析了最大规模的基于样地的热带森林碳动态研究,以表明闪电频率(风暴活动的一个指标)能有力地预测森林碳储存和停留时间,将其纳入模型可改善模型拟合,并削弱高温影响的证据。在过去半个世纪里,对流风暴活动每十年增加5% - 25%。根据历史趋势推断,我们估计风暴可能占亚马逊地区报告的生物量死亡率增加的约50%,所有合理的假设组合表明可能范围为12% - 118%。风暴活动的空间变化与干旱的关系较弱,这表明森林可能经历高干旱压力、高风暴活动,或两者皆有。因此,我们假设对流风暴是热带森林变化的最重要驱动因素之一,正因如此,需要大量研究投入,以避免误导科学、政策和管理。

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本文引用的文献

1
The influence of lightning on insect and fungal dynamics in a lowland tropical forest.闪电对低地热带森林中昆虫和真菌动态的影响。
Ecology. 2025 Jan;106(1):e4521. doi: 10.1002/ecy.4521.
2
Wind Shapes the Growth Strategies of Trees in a Tropical Forest.风塑造了热带雨林中树木的生长策略。
Ecol Lett. 2024 Sep;27(9):e14527. doi: 10.1111/ele.14527.
3
Tall Bornean forests experience higher canopy disturbance rates than those in the eastern Amazon or Guiana shield.比起亚马逊东部或圭亚那地盾地区,高大的婆罗洲森林经历了更高的林冠干扰率。
Glob Chang Biol. 2024 Sep;30(9):e17493. doi: 10.1111/gcb.17493.
4
The enduring world forest carbon sink.持久的世界森林碳汇。
Nature. 2024 Jul;631(8021):563-569. doi: 10.1038/s41586-024-07602-x. Epub 2024 Jul 17.
5
Evidence of thermophilization in Afromontane forests.阿特蒙塔内森林有喜暖迹象。
Nat Commun. 2024 Jul 10;15(1):5554. doi: 10.1038/s41467-024-48520-w.
6
Amazon forest biogeography predicts resilience and vulnerability to drought.亚马逊森林生物地理学预测其对干旱的恢复力和脆弱性。
Nature. 2024 Jul;631(8019):111-117. doi: 10.1038/s41586-024-07568-w. Epub 2024 Jun 19.
7
Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees?亚马逊巨人:环境变化如何驱动大树的多样性模式?
Glob Chang Biol. 2023 Sep;29(17):4861-4879. doi: 10.1111/gcb.16821. Epub 2023 Jun 30.
8
Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests.流域范围内树木水力安全裕度的变化可预测亚马逊森林的碳平衡。
Nature. 2023 May;617(7959):111-117. doi: 10.1038/s41586-023-05971-3. Epub 2023 Apr 26.
9
Lianas increase lightning-caused disturbance severity in a tropical forest.藤本植物会增加热带森林中闪电引发的干扰严重程度。
New Phytol. 2023 Jun;238(5):1865-1875. doi: 10.1111/nph.18856. Epub 2023 Mar 23.
10
The drivers and impacts of Amazon forest degradation.亚马逊森林退化的驱动因素及影响。
Science. 2023 Jan 27;379(6630):eabp8622. doi: 10.1126/science.abp8622.