Evidence map›Paper›PMID 41968330›Full record

ArticlePlant, cell & environment2026

Plant Species With an Acquisitive Resource-Use Strategy Exhibit Lower Wood Density and Display Greater Intraspecific Variation.

Yanting Hu, Karina V R Schäfer, Chuan Yuan, Liwei Zhu, Yelin Zeng, Shuai Ouyang, Liang Chen, Pifeng Lei, Xiangwen Deng, Zhonghui Zhao and 2 more

Abstract read
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In one paragraph

Article in Plant, cell & environment, 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.

Yanting HuSchool of Ecology and Environment, Central South University of Forestry and Technology, Changsha, China.ORCID https://orcid.org/0009-0000-0013-0962
Karina V R SchäferDepartment of Earth and Environmental Sciences, Rutgers University, Newark, New Jersey, USA.
Chuan YuanChongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geography Sciences, Southwest University, Chongqing, China.
Liwei ZhuGuangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.ORCID https://orcid.org/0000-0001-5191-2868
Yelin ZengSchool of Ecology and Environment, Central South University of Forestry and Technology, Changsha, China.
Shuai OuyangSchool of Ecology and Environment, Central South University of Forestry and Technology, Changsha, China.
Liang ChenSchool of Ecology and Environment, Central South University of Forestry and Technology, Changsha, China.
Pifeng LeiSchool of Ecology and Environment, Central South University of Forestry and Technology, Changsha, China.
Xiangwen DengSchool of Ecology and Environment, Central South University of Forestry and Technology, Changsha, China.ORCID https://orcid.org/0000-0002-9399-1231
Zhonghui ZhaoSchool of Ecology and Environment, Central South University of Forestry and Technology, Changsha, China.
Xi FangSchool of Ecology and Environment, Central South University of Forestry and Technology, Changsha, China.
Wenhua XiangSchool of Ecology and Environment, Central South University of Forestry and Technology, Changsha, China.ORCID https://orcid.org/0000-0002-6762-7938

Funding

Guangdong Science and Technology Plan ProjectMinistry of Science and Technology of China for Key R&D ProgramNational Forestry and Grassland Administration of ChinaNational Natural Science Foundation of China
6 · The paper itself

Abstract

Leaf and hydraulic traits are key determinants of growth rates, and hence potentially exhibit significant associations with wood density (WD) and its intraspecific variation (ITV). However, the extent to which functional traits could improve WD prediction accuracy, and how ITV in WD correlates with functional traits remain incompletely understood. We investigated WD and its ITV across 10,218 plant species, mapped the global distribution of WD, and analyzed the association of ITV in WD with niche breadth and functional traits. Plant species with an acquisitive resource-use strategy, characterized by higher specific leaf area (SLA), leaf nitrogen concentration (LN), and leaf maximum stomatal conductance (g

Indexed as

PlantsWoodNitrogenPlant LeavesSpecies SpecificityNitrogenhydraulic traitintraspecific variationleaf photosynthetic traitNiche breadthwood density

Identifiers

PMID41968330
PMCPMC13353768

What OpenQuestion holds

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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.