Evidence map›Paper›PMID 41345129›Full record

ArticleNature communications2025

ENSO amplifies global vegetation resilience variability in a changing climate.

Wei Zhou, Changjia Li, Haicheng Zhang, Lindsay C Stringer, Jingyu Wang, Zhongci Deng, Zhen Wang

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Wei ZhouCollege of Resources and Environment, Huazhong Agricultural University, Wuhan, China.
Changjia LiState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction (ESPDRR), Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0001-7297-9658
Haicheng ZhangCarbon-Water Research Station in Karst Regions of Northern Guangdong, School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-9313-5953
Lindsay C StringerDepartment of Environment and Geography, University of York, York, UK.ORCID http://orcid.org/0000-0003-0017-1654
Jingyu WangCollege of Resources and Environment, Huazhong Agricultural University, Wuhan, China.
Zhongci DengCollege of Resources and Environment, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0000-0002-1080-4569
Zhen WangCollege of Resources and Environment, Huazhong Agricultural University, Wuhan, China. sinoo@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0002-7902-4093

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42377321
6 · The paper itself

Abstract

A thorough understanding of vegetation resilience to climate variability is critical for sustaining ecosystem functions and terrestrial carbon sinks. Although the El Niño-Southern Oscillation (ENSO) is a key driver of global extreme weather events and vegetation dynamics, its impacts on vegetation resilience remain unclear. Here we estimate global present-day (1981-2018) and future (2015-2100) vegetation resilience using a lag-1 autocorrelation analysis of global leaf area index (LAI) time series and investigate its teleconnection to ENSO. Our findings reveal that ENSO significantly affects vegetation resilience across 53% of the global vegetated area. Within these regions, 15% are linked primarily to large-scale atmospheric synchrony with ENSO, 51% are mainly shaped by ENSO-driven local climate anomalies, and the remaining 34% are influenced by both processes. Future projections suggest that the area impacted via ENSO-driven climate anomalies may expand by 7-10%, with Eastern Siberia and northern North America newly affected. Our study provides a coherent global assessment of vegetation resilience sensitivity to ENSO, identifies teleconnected hotspots and potential influential pathways, and informs targeted restoration and climate-adaptive ecosystem governance under climate change.

Identifiers

PMID41345129
PMCPMC12783748

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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.