Evidence map›Paper›PMID 42740498›Full record

ArticleGlobal change biology2026

Divergent Temporal Trends in Carbon Assimilation-Growth Coupling Across Global Forests.

Hang Shi, Rui He, Pierre Friedlingstein, Stephen Sitch, Haishan Dang, Quanfa Zhang

Abstract read
In one paragraph

Article in Global change biology, 2026. 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

6 authors.

Hang ShiState Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China.
Rui HeInstitute of Wetland Research, Hubei Academy of Forestry, Wuhan, China.ORCID https://orcid.org/0000-0002-7278-2916
Pierre FriedlingsteinFaculty of Environment, Science and Economy, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0003-3309-4739
Stephen SitchFaculty of Environment, Science and Economy, University of Exeter, Exeter, UK.
Haishan DangState Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China.ORCID https://orcid.org/0000-0003-0882-4250
Quanfa ZhangState Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China.ORCID https://orcid.org/0000-0003-1462-0529

Funding

Hubei Provincial Natural Science Foundation of China JCZRYB202401204National Natural Science Foundation of China 32201371National Natural Science Foundation of China 32571830National Natural Science Foundation of China 32571862Strategic Priority Research Program of the Chinese Academy of Sciences
6 · The paper itself

Abstract

Understanding how trees allocate assimilated carbon to growth is essential for projecting forest carbon sequestration. However, the temporal dynamics of the relative roles of carbon assimilation (source) versus cambial activity (sink) in regulating tree growth remain poorly understood. Using multiple gross and net primary productivity (GPP and NPP) data and tree-ring width records from 2126 sites worldwide, we quantified the temporal trend of the correlation between carbon assimilation and tree growth (R trend) over the past three decades. We found that the R trend varied substantially across sites, with 57.8% of the sites exhibiting negative trends and 42.2% showing positive trends, reflecting a temporal increase in decoupling between carbon assimilation and tree growth in many forests, but a strengthening of coupling in others. Precipitation strongly affected the spatial variation in the R trend, with its importance only slightly lower than that of temperature. Sites with lower baseline precipitation tended to exhibit more positive R trends, whereas those with higher baseline precipitation more often exhibited negative R trends, with these patterns potentially modulated by soil properties and plant traits. These empirical negative effects of precipitation on the R trend were further reproduced by 13 current Dynamic Global Vegetation Models (DGVMs). In addition, model outputs under different future climate scenarios indicated that the coupling between carbon assimilation and tree growth is likely to strengthen across broader regions by the end of the 21st century due to the ongoing climate change. Overall, our findings reveal the importance of incorporating precipitation influences for improving the understanding of the temporal dynamics of the coupling between carbon assimilation and tree growth under future climate change.

Indexed as

CarbonCarbon SequestrationClimate ChangeForestsTreesCarbon CycleRainCarboncarbon sourceprecipitationtemporal dynamicstree growth

Identifiers

PMID42740498
PMCPMC13575471

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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.