Evidence map›Paper›PMID 40044921›Full record

Articlenpj biodiversity2025

Complexity of leaf trait covariation for mangrove species.

Lili Wei, Fang Lin, Jing Gao, Justin Rugema, Waseem Akram, You-Shao Wang

Abstract read
In one paragraph

Article in npj biodiversity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Informing spatial conservation prioritization with species' traits.Conservation biology : the journal of the Society for Conservation Biology · 2026
    Article
  3. 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

6 authors.

Lili WeiInstitute of Urban Environment, Chinese Academy of Sciences, Xiamen, China. l.l.wei@hotmail.com.
Fang LinInstitute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.
Jing GaoInstitute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.
Justin RugemaInstitute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.
Waseem AkramInstitute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.
You-Shao WangUniversity of Chinese Academy of Sciences, Beijing, China.

Funding

Czech-China Special Exchange Program of Chinese Academy of Sciences NoInternational Cooperation project of Fujian 2023I0034State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences LTO2103
6 · The paper itself

Abstract

The leaf economics spectrum (LES) has been proposed as a framework for understanding leaf resource-investment and plant growth strategies, but it is scarcely examined in mangrove communities. This study investigates LES patterns in mangrove communities to examine whether the trait coordination spectrum, if it exists, is associated with plant growth strategies. By conducting a comprehensive sampling across a wide range of mangrove species in China, we confirmed the presence of LES across mangrove species, and found that true mangroves generally exhibit a more conservative strategy characterized by higher leaf mass per area (LMA) and lower leaf nutrient concentrations compared to mangrove associates. We also observed considerable intraspecific variation in traits, particularly in LMA. In some cases, fast-growing species exhibited higher LMA and lower leaf nutrient concentrations than slow-growing species. Fast-growing species also showed higher leaf thickness than slow-growing species, but no difference in leaf density between them, suggesting that LMA composition is important in understanding trait coordination and its link with plant growth strategies in mangrove communities. Our findings highlight a complex link between trait coordination and plant growth strategies in mangrove species.

Identifiers

PMID40044921
PMCPMC11882892

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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.