Evidence map›Paper›PMID 41781508›Full record

ArticleNature ecology & evolution2026

Human pressure and biodiversity modify forest resilience after extreme multi-year droughts.

Tianjing Wu, Yanxu Liu, Liangzhi Chen, Zheng Fu, Bojie Fu, Yan Li, Xutong Wu, Jingyi Ding, Changjia Li, Shuai Wang and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature ecology & evolution, 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

12 authors.

Tianjing WuState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Yanxu LiuState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China. yanxuliu@bnu.edu.cn.ORCID http://orcid.org/0000-0002-3571-1932
Liangzhi ChenSwiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.ORCID http://orcid.org/0000-0002-1021-821X
Zheng FuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0001-7627-8824
Bojie FuState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-9920-9802
Yan LiState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Xutong WuState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0001-6124-0436
Jingyi DingState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Changjia LiState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0001-7297-9658
Shuai WangState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0003-1595-9858
Wenwu ZhaoState Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0001-5342-354X
Arthur GesslerSwiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.ORCID http://orcid.org/0000-0002-1910-9589

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42522105Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) UpScale, CRSII5_216562
6 · The paper itself

Abstract

Forest resilience characterizes the capability of forest ecosystems to recover from perturbations. With the global increase in the occurrence of multi-year drought (MYD) events and anthropogenic pressures on terrestrial ecosystems, the resilience of forest ecosystems to extreme multi-year droughts and how it interferes with human pressures is, however, largely unexplored. On the basis of the temporal autocorrelation of the kernel-normalized difference vegetation index, we mapped the spatial patterns of resilience of global forests before and after MYDs. We found diminished resilience in over 70.9% of forests after the top-10 MYDs as compared to the prior situation. Species richness was the primary factor of the spatial variation of forest resilience, followed by vapour pressure deficit, temperature and soil moisture. Across different forest types, plant species richness showed distinct relationships with resilience, exhibiting both positive and negative associations. However, after accounting for human footprint, its contribution became consistently and strongly negative. Managed forests had lower resilience than undisturbed forests to MYDs, especially in the deciduous needle-leaved forest of the boreal regions. These findings underscore the importance of mitigating human pressure for maintaining forest resilience under extreme climatic disturbances.

Indexed as

Anthropogenic EffectsBiodiversityDroughtsForestsTreesHumans

Identifiers

PMID41781508

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.