Evidence map›Paper›PMID 41281314›Full record

ArticleFrontiers in plant science2025

Variation in leaf functional traits of

Bin He, Wangjun Li, Xiaolong Bai, Shun Zou, Qing Li

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Bin HeCollege of Ecological Engineering, Guizhou University of Engineering Science, Bijie, Guizhou, China.
Wangjun LiCollege of Ecological Engineering, Guizhou University of Engineering Science, Bijie, Guizhou, China.
Xiaolong BaiCollege of Ecological Engineering, Guizhou University of Engineering Science, Bijie, Guizhou, China.
Shun ZouCollege of Ecological Engineering, Guizhou University of Engineering Science, Bijie, Guizhou, China.
Qing LiCollege of Ecological Engineering, Guizhou University of Engineering Science, Bijie, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Leaf functional traits are pivotal indicators of plant ecological strategies, reflecting adaptations to environmental conditions. However, the patterns of intraspecific trait variation along environmental gradients and their underlying drivers remain inadequately explored, particularly in fragile ecosystems like karst landscapes. Methods: We investigated 12 leaf functional traits (encompassing morphological and chemical characteristics) of Results: Our results revealed substantial intraspecific variability in all leaf traits, with coefficients of variation ranging from 3.24% to 28.15%. Specific leaf area, leaf length, thickness, area, carbon content, potassium content, and the ratios of C:N, C:P, and N:P decreased significantly with increasing elevation. Conversely, leaf dry matter content, nitrogen content, and phosphorus content increased significantly. We found notable coordination and trade-offs among traits, forming an integrated network centered on the C:N ratio. Soil factors-specifically soil organic carbon, pH, and available potassium-were identified as the primary drivers of this trait variation. Discussion:

Indexed as

elevational gradientKarst mountainsleaf functional traitPinus armandiisoil factors

Identifiers

PMID41281314
PMCPMC12631463

What OpenQuestion holds

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Registered trials

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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.