Tree resistance outweighs climatic drivers in governing extreme growth suppression.

Yuntao Dong, Ouya Fang, Ying Deng, Jiangshan Lai, Hengfeng Jia

Abstract read

In one paragraph

Article in iScience, 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

5 authors.

Yuntao DongKey Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.

Ouya FangKey Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.

Ying DengKey Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.

Jiangshan LaiCollege of Ecology and Environment, Nanjing Forestry University, Nanjing 210037, China.

Hengfeng JiaKey Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While climate extremes are conventionally considered primary triggers of extreme growth suppression (EGS) in trees, the role of trees' intrinsic resistance capacity in mediating EGS remains a persistent knowledge gap. By analyzing 4,599 EGSs across 2,631 juniper trees at 61 sites on the Tibetan Plateau, we quantified the influence of intrinsic and extrinsic factors on EGS using a random forest model and a piecewise structural equation model. The results showed tree resistance exerted 1.7× greater effect on EGS likelihood than climatic variables of the current year, mediated through both direct physiological pathways and indirect age-related effects. Tree age negatively modulated resistance capacity. These findings fundamentally challenge the climate-centric paradigm in dendroecology, which emphasizes the critical role of individual tree physiology in mediating climate responses. Our mechanistic framework advances a predictive model of forest dynamics under climate change by integrating resilience with traditional climate-growth relationships.

Indexed as

Environmental scienceForestryGlobal changePlant Biology

Identifiers

PMID40697827

DOI10.1016/j.isci.2025.113043

PMCPMC12281151

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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.