Evidence map›Paper›PMID 42430487›Full record

ArticleScience advances2026

Biogeography of community canopy leaf traits and their links to global forest photosynthesis.

Feng Jiang, Bernhard Schmid, Xucai Pu, Chengjun Ji, Zehao Shen, Zhiyao Tang, Xiangping Wang, Chengyang Zheng, Biao Zhu, Peter B Reich and 2 more

Abstract read
In one paragraph

Article in Science advances, 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

12 authors.

Feng JiangInstitute of Ecology, State Key Laboratory of Vegetation Structure, Function and Construction (VegLab), College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0000-0002-4655-1663
Bernhard SchmidInstitute of Ecology, State Key Laboratory of Vegetation Structure, Function and Construction (VegLab), College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0000-0002-8430-3214
Xucai PuInstitute of Ecology, State Key Laboratory of Vegetation Structure, Function and Construction (VegLab), College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0009-0002-3679-4378
Chengjun JiInstitute of Ecology, State Key Laboratory of Vegetation Structure, Function and Construction (VegLab), College of Urban and Environmental Sciences, Peking University, Beijing, China.
Zehao ShenInstitute of Ecology, State Key Laboratory of Vegetation Structure, Function and Construction (VegLab), College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0000-0001-5954-3286
Zhiyao TangInstitute of Ecology, State Key Laboratory of Vegetation Structure, Function and Construction (VegLab), College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0000-0003-0154-6403
Xiangping WangSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China.ORCID 0000-0001-8158-560X
Chengyang ZhengInstitute of Ecology, State Key Laboratory of Vegetation Structure, Function and Construction (VegLab), College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0000-0002-3682-439X
Biao ZhuInstitute of Ecology, State Key Laboratory of Vegetation Structure, Function and Construction (VegLab), College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0000-0001-9858-7943
Peter B ReichInstitute for Global Change Biology and School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-4424-662X
Jingyun FangInstitute of Ecology, State Key Laboratory of Vegetation Structure, Function and Construction (VegLab), College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0000-0003-0094-731X
Zhiheng WangInstitute of Ecology, State Key Laboratory of Vegetation Structure, Function and Construction (VegLab), College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0000-0003-0808-7780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leaf traits influence biotic interactions and ecosystem functions in forests. However, biogeographic drivers of leaf traits remain highly uncertain, limiting their integration into global vegetation models. Using a global dataset of forest plots, we show that community canopy leaf traits align along three dimensions: leaf economy, leaf density, and nitrogen-to-phosphorus (N:P) ratio. Changes in these trait dimensions across forest communities were driven by different variables: leaf economy was primarily shaped by the proportion of deciduous trees, leaf density by soil available P and temperature, and leaf N:P ratio by temperature. These three leaf trait dimensions together explained 60.2% of the variation in ecosystem-scale forest maximum photosynthesis, with the leaf N:P ratio showing the strongest association, followed by the dimensions of leaf economy and leaf density. Forests with moderate leaf N:P ratios and more acquisitive traits had higher photosynthesis than other forests. Our findings highlight the potential of community canopy leaf traits in predicting biogeographic variation in ecosystem-scale forest functioning.

Indexed as

ForestsPhotosynthesisPlant LeavesTreesEcosystemNitrogenPhosphorusSoilNitrogenPhosphorusSoil

Identifiers

PMID42430487
PMCPMC13353372

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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.