Evidence map›Paper›PMID 42399264›Full record

ArticleNature communications2026

Critical slowing down of semiarid vegetation resilience is amplified by intensifying heatwaves.

Li Fu, Jianping Huang, Changyu Li, Wenmin Wei, Ming Peng, Guolong Zhang, Yu Ren, Jianming Deng

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Li FuState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Jianping HuangCollaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China. hjp@lzu.edu.cn.ORCID http://orcid.org/0000-0003-2845-797X
Changyu LiCollaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China.ORCID http://orcid.org/0000-0003-1537-7508
Wenmin WeiKey Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, China.
Ming PengKey Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, China.
Guolong ZhangCollaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China.
Yu RenKey Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, China.
Jianming DengState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.ORCID http://orcid.org/0000-0002-5901-2175

Funding

China Postdoctoral Science Foundation 2025M782643National Natural Science Foundation of China (National Science Foundation of China) 32225032
6 · The paper itself

Abstract

Critical slowing down is commonly used as an early-warning signature of declining ecosystem resilience. While widespread greening has been documented, vegetation resilience in semiarid regions has received limited attention, and how climate extremes influence this association remains poorly understood. Here, we quantify vegetation resilience by estimating lag-1 temporal autocorrelation derived from complementary satellite vegetation metrics across global semiarid regions. We find that 56.6% of semiarid vegetated area shows increasing lag-1 temporal autocorrelation, and the spatial mean lag-1 temporal autocorrelation exhibits a sustained upward trend during 2001-2024, indicating declining resilience. Using a quadrant framework, 47.5% of vegetated area is classified as greening concurrent with declining resilience, exceeding the 33.8% showing greening with increasing resilience. Moreover, heatwaves intensified, and precipitation declined, with trend magnitudes and land-cover composition varying among greening-resilience quadrants. Spatial error models indicate that increases in maximum heatwave intensity are more strongly associated with declining resilience under drying trends, whereas this association weakens under wetting. Within-quadrant analyses further characterize conditional associations, consistent with greening-resilience decoupling under hot-dry intensification. Our findings suggest that greening can mask declining resilience, underscoring the need to integrate resilience diagnostics into routine greenness monitoring as climate extremes intensify.

Indexed as

Climate ChangeDesert ClimateEcosystemHot TemperaturePlantsRain

Identifiers

PMID42399264
PMCPMC13473636

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.