Evidence map›Paper›PMID 42421888›Full record

ArticleEcology and evolution2026

Leaf Trait Differentiations Depend on Plant Size in a Modular Assembled Community of Evergreen and Deciduous Trees From a Degraded Karst Forest Ecosystem.

Mingjuan Yu, Min Jiao, Xihong Yang, Xiaodong Li, Yuejun He

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mingjuan YuForestry College, Research Center of Forest Ecology Guizhou University Guiyang P. R. China.
Min JiaoForestry College, Research Center of Forest Ecology Guizhou University Guiyang P. R. China.
Xihong YangForestry College, Research Center of Forest Ecology Guizhou University Guiyang P. R. China.
Xiaodong LiForestry College, Research Center of Forest Ecology Guizhou University Guiyang P. R. China.
Yuejun HeForestry College, Research Center of Forest Ecology Guizhou University Guiyang P. R. China.ORCID https://orcid.org/0000-0002-7653-0265

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generally, a forest community can be viewed as functionally integrated assemblages composed of modular subcommunities representing different functional groups, such as evergreen and deciduous plants, which exhibit distinct trait strategies along the leaf economics spectrum. However, how plant size drives leaf trait differentiation between evergreen and deciduous subcommunities remains unclear. In this study, we surveyed 53 forest plots in a typical subtropical karst forest and measured leaf traits, including specific leaf area (SLA), leaf tissue density (LTD), leaf dry matter content (LDMC), and leaf carbon (LCC), nitrogen (LNC), and phosphorus (LPC) contents, as well as soil physicochemical properties. All woody species were classified into evergreen and deciduous subcommunities based on leaf habit. Relationships among plant size, leaf traits, and soil variables were analyzed using linear regression, principal component analysis, and multiple regression. The results showed that the deciduous subcommunity exhibited significantly greater tree DBH, height, SLA, LDMC, LNC, LPC, and leaf N/P ratio, but lower LCC, C/N, and C/P than the evergreen subcommunity, indicating clear differentiation in leaf trait strategies between the two subcommunities. Additionally, distinct trait responses to increasing plant size in both subcommunities, particularly for SLA, LNC, and C/N, suggest plant size-dependent trait differentiation. Moreover, the relative effects indicated that evergreen leaf traits were mainly influenced by soil total phosphorus and habitat heterogeneity, whereas deciduous leaf traits were primarily driven by plant size. Overall, our findings demonstrate that modular subcommunities exhibit distinct leaf trait characteristics and resource-use strategies, with an acquisitive strategy in the deciduous subcommunity and a conservative strategy in the evergreen subcommunity, both closely associated with plant size in degraded karst forests. These results provide new insights into trait-based community assembly by highlighting size-dependent differentiation in modular subcommunities, with implications for understanding vegetation functional evolution and informing ecological restoration of degraded karst forest ecosystems.

Indexed as

leaf functional traitsleaf habitplant sizestrategy differentiationsubcommunity

Identifiers

PMID42421888
PMCPMC13343730

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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.