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复合型热干事件极大地延长了旱地生态系统的恢复时间。

Compound hot-dry events greatly prolong the recovery time of dryland ecosystems.

作者信息

Yao Ying, Fu Bojie, Liu Yanxu, Zhang Yao, Ding Jingyi, Li Yan, Zhou Sha, Song Jiaxi, Wang Shuai, Li Changjia, Zhao Wenwu

机构信息

State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.

State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.

出版信息

Natl Sci Rev. 2024 Aug 9;11(10):nwae274. doi: 10.1093/nsr/nwae274. eCollection 2024 Oct.

DOI:10.1093/nsr/nwae274
PMID:39301074
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11409867/
Abstract

Compound hot-dry events cause more severe impacts on terrestrial ecosystems than dry events, while the differences in recovery time (ΔRT) between hot-dry and dry events and their contributing factors remain unclear. Both remote sensing observations and eddy covariance measurements reveal that hot-dry events prolong the recovery time compared with dry events, with greater prolongation of recovery time in drylands than in humid regions. Random forest regression modeling demonstrates that the difference in vapor pressure deficit between hot-dry and dry events, with an importance score of 35%, is the major factor contributing to ΔRT. The severity of stomatal restriction exceeds that of non-stomatal limitation, which restricts the vegetation productivity that is necessary for the recovery process. These results emphasize the negative effect of vapor pressure deficit on vegetation recovery during hot-dry events and project an extension of drought recovery time considering elevated vapor pressure deficit in a warming world.

摘要

复合型热干事件对陆地生态系统造成的影响比干旱事件更为严重,然而热干事件与干旱事件之间恢复时间的差异(ΔRT)及其影响因素仍不明确。遥感观测和涡度相关测量均表明,与干旱事件相比,热干事件会延长恢复时间,且干旱地区恢复时间的延长幅度大于湿润地区。随机森林回归模型显示,热干事件与干旱事件之间的水汽压亏缺差异(重要性得分35%)是导致ΔRT的主要因素。气孔限制的严重程度超过了非气孔限制,这限制了恢复过程所需的植被生产力。这些结果强调了水汽压亏缺对热干事件期间植被恢复的负面影响,并预测在气候变暖导致水汽压亏缺升高的情况下,干旱恢复时间将会延长。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22df/11409867/c01863815c20/nwae274fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22df/11409867/fc06aae2dd51/nwae274fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22df/11409867/00aa901f77a6/nwae274fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22df/11409867/fd5bbe52f188/nwae274fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22df/11409867/c01863815c20/nwae274fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22df/11409867/fc06aae2dd51/nwae274fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22df/11409867/00aa901f77a6/nwae274fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22df/11409867/fd5bbe52f188/nwae274fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22df/11409867/c01863815c20/nwae274fig4.jpg

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Emerging signals of declining forest resilience under climate change.气候变化下森林恢复力下降的新信号。
Nature. 2022 Aug;608(7923):534-539. doi: 10.1038/s41586-022-04959-9. Epub 2022 Jul 13.
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Surface temperatures reveal the patterns of vegetation water stress and their environmental drivers across the tropical Americas.地表温度揭示了整个热带美洲地区植被水分胁迫及其环境驱动因素的模式。
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Patterns of post-drought recovery are strongly influenced by drought duration, frequency, post-drought wetness, and bioclimatic setting.后干旱恢复期的模式强烈受到干旱持续时间、频率、后干旱湿度和生物气候背景的影响。
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