Evidence map›Paper›PMID 35915621›Full record

ArticleThe Journal of ecology2022

Leaf morphological traits as adaptations to multiple climate gradients.

Han Wang, Runxi Wang, Sandy P Harrison, Iain Colin Prentice

Abstract read
In one paragraph

Article in The Journal of ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Adaptive Responses of Tropical Crops: A Multi-Scale Omics Integrated Perspective.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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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

4 authors.

Han WangDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling Institute for Global Change Studies, Tsinghua University Beijing China.ORCID https://orcid.org/0000-0003-2482-1818
Runxi WangSchool of Biological Sciences University of Hong Kong Hong Kong SAR China.ORCID https://orcid.org/0000-0003-4902-169X
Sandy P HarrisonDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling Institute for Global Change Studies, Tsinghua University Beijing China.ORCID https://orcid.org/0000-0001-5687-1903
Iain Colin PrenticeDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling Institute for Global Change Studies, Tsinghua University Beijing China.ORCID https://orcid.org/0000-0002-1296-6764

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leaf morphological traits vary systematically along climatic gradients. However, recent studies in plant functional ecology have mainly analysed quantitative traits, while numerical models of species distributions and vegetation function have focused on traits associated with resource acquisition; both ignore the wider functional significance of leaf morphology.A dataset comprising 22 leaf morphological traits for 662 woody species from 92 sites, representing all biomes present in China, was subjected to multivariate analysis in order to identify leading dimensions of trait covariation (correspondence analysis), quantify climatic and phylogenetic contributions (canonical correspondence analysis with variation partitioning) and characterise co-occurring trait syndromes (

Indexed as

leaf functional traitsmultivariate analysisplasticityspecies replacementtrait–environment relationshipstrait syndromes

Identifiers

PMID35915621
PMCPMC9313568

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.