Evidence map›Paper›PMID 40958850›Full record

ArticleEcology and evolution2025

Size-Related Variation in Tree Leaf Traits and Its Effects on Trait-Growth Relationships in a Subtropical Cloud Forest.

Yong-Qiang Wang, Shi-Dan Zhu, Han Wang, Kun-Fang Cao, Hong-Xiang Wang

Abstract read
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Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Yong-Qiang WangGuangxi Key Laboratory of Forest Ecology and Conservation, Key Laboratory of National Forestry and Grassland Administration on Cultivation of Fast-Growing Timber in Central South China, College of Forestry Guangxi University Nanning China.ORCID https://orcid.org/0000-0002-6801-077X
Shi-Dan ZhuGuangxi Key Laboratory of Forest Ecology and Conservation, Key Laboratory of National Forestry and Grassland Administration on Cultivation of Fast-Growing Timber in Central South China, College of Forestry Guangxi University Nanning China.ORCID https://orcid.org/0000-0002-9228-368X
Han WangMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science Tsinghua University Beijing China.
Kun-Fang CaoState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources Guangxi University Nanning China.
Hong-Xiang WangGuangxi Key Laboratory of Forest Ecology and Conservation, Key Laboratory of National Forestry and Grassland Administration on Cultivation of Fast-Growing Timber in Central South China, College of Forestry Guangxi University Nanning China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trait-based approaches offer an essential tool for exploring tree growth and adaptation strategies. However, the generality of trait-growth relationships and the role of tree size in influencing their relationships remain uncertain. This study aims to explore size-dependent trait variation and its effects on individual growth models using a trait-based approach. We measured the leaf anatomical characteristics and nutrient content of 322 trees from 18 coexisting species and monitored their growth rates in a subtropical montane cloud forest. Our results showed that between 26% and 62% of trait variance was attributed to intraspecific variation of different sized trees. Larger trees tend to have smaller specific leaf area (SLA) and thicker palisade tissue (PT), while they also exhibit smaller and denser stomata to optimize water utilization and photosynthetic efficiency. As trees increased in size, their basal area growth advantage was attributed to both vertical competitive advantage and functional trait adaptations for light capture. Canopy species enhanced individual tree growth by adjusting the morphological structures of their leaves, such as thicker PT, higher stomatal density, and lower SLA, while understory species increased leaf phosphorus content, reflecting their specialized adaptation strategies to distinct vertical niches in phosphorus-limited environments. In addition, traits measured at the individual level revealed broader trait-growth relationships compared to species average traits. The study highlights that the pronounced effects of size-dependent trait variation are crucial for elucidating trait-growth relationships and understanding tree adaptive strategies under heterogeneous vertical light conditions.

Indexed as

functional traitsintraspecific trait variationmontane cloud forestssize‐dependent effectstree growth modeling

Identifiers

PMID40958850
PMCPMC12435977

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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.