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  Photosynthetic Recovery Dynamics Reveal Declining Vegetation Functional Resilience in Tropical Ecosystems

Behera, S., Diao, C., Bathiany, S., Boers, N., Dutta, D. (2026): Photosynthetic Recovery Dynamics Reveal Declining Vegetation Functional Resilience in Tropical Ecosystems. - Geophysical Research Letters, 53, 7, e2025GL119875.
https://doi.org/10.1029/2025GL119875

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Geophysical Research Letters - 2026 - Behera - Photosynthetic Recovery Dynamics Reveal Declining Vegetation Functional.pdf (Publisher version), 3MB
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Geophysical Research Letters - 2026 - Behera - Photosynthetic Recovery Dynamics Reveal Declining Vegetation Functional.pdf
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Behera, Subhrasita1, Author
Diao, Chan1, Author
Bathiany, Sebastian2, Author                 
Boers, Niklas2, Author                 
Dutta, Debsunder1, Author
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Ecosystem resilience, the ability to recover from disturbances, is crucial for sustaining ecosystem health and functionality. Traditional greenness-based resilience measures often overlook early physiological stress. Here, we use solar-induced chlorophyll fluorescence (SIF), an indicator for photosynthesis, to assess global vegetation functional resilience from 2000 to 2019. Using indicators of critical slowing down, we derive recovery rates as a measure of resilience from variance and autocorrelation in SIF time series across natural vegetation. Our results reveal marked latitudinal contrasts, with faster recovery in boreal regions and persistent vulnerability in tropical and low-latitude ecosystems. Long-term trends show resilience loss in the Eurasian high latitudes, while short-term trends indicate accelerating resilience decline in 60.7% of the global tropics, driven by heat, vapor pressure deficit, and soil moisture stress. These findings highlights the need to monitor ecosystem functional resilience through physiological indicators to anticipate ecological tipping points and inform conservation and climate adaptation strategies.

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Language(s): eng - English
 Dates: 2026-03-162026-03-312026-04-16
 Publication Status: Finally published
 Pages: 16
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1029/2025GL119875
MDB-ID: No MDB - stored outside PIK (see locators/paper)
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Artificial Intelligence
OATYPE: Gold Open Access
 Degree: -

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Title: Geophysical Research Letters
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 53 (7) Sequence Number: e2025GL119875 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals182
Publisher: Wiley