Evidence map›Paper›PMID 41592146›Full record

ArticleEcology letters2026

Variation in Tree Growth Increases With Global Warming.

Jingye Li, Fangliang He

Abstract read
In one paragraph

Article in Ecology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Jingye LiDepartment of Renewable Resources, University of Alberta, Edmonton, Alberta, Canada.ORCID https://orcid.org/0000-0001-9393-0423
Fangliang HeDepartment of Renewable Resources, University of Alberta, Edmonton, Alberta, Canada.ORCID https://orcid.org/0000-0003-0774-4849

Funding

Alberta Land InstituteNatural Sciences and Engineering Research Council of CanadaOversea Study Program of Guangzhou Elite Project GrantOversea Study Program of Guangzhou Elite Project S.J.[2019]No.2
6 · The paper itself

Abstract

Global warming is raising both climate and weather variability. However, how this tendency may destabilise forest ecosystems is poorly understood. Using a set of global tree-ring data, we calculated the 5-year variance and mean of tree growth rate over 1401-2010, and modelled the variance-mean relationship. We found that the global averaged variance increased much faster than the mean in the past century (+40.0% vs. +8.5%), and closely covaried with the accelerated global warming since the 1970s (r = 0.93). The exponent of tree-level variance-mean power law was higher in wetter habitats and less drought-resistant species, and has increased significantly under global warming, indicating an environment- and trait-dependent growth-safety tradeoff and a decreasing resistance to a warmer climate. Our study shows that global warming may have strongly destabilised tree growth and made forest dynamics less predictable, adding to the growing concern that global warming is jeopardising the functioning of forest ecosystems.

Indexed as

Global WarmingTreesForestsModels, Biologicalclimate change impactclimate zonesecological stabilityforest resiliencegrowth‐safety tradeoffhydraulic traitTaylor's power lawtree radial growthvariance to mean relationship

Identifiers

PMID41592146
PMCPMC12843879

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.