Evidence map›Paper›PMID 42069525›Full record

ArticleBMC plant biology2026

Plant functional groups modulate variation and covariation in leaf and seed traits across years.

Changxing Fu, Gaohua Fan, Heqi Wang, Congwen Wang, Yingxin Huang, Paul L Drake

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Changxing Fu *State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130012, China.
Gaohua Fan *State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130012, China.
Heqi WangState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130012, China.
Congwen WangState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130012, China.
Yingxin HuangState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130012, China. huangyx@iga.ac.cn.
Paul L DrakeSchool of Biological Sciences, University of Western Australia, Crawley, Perth, 6009, Australia.

Funding

Australian Research Council LP14100736National Natural Science Foundation of China 42471071
6 · The paper itself

Abstract

Leaf and seed traits are key determinants of plant growth and reproduction, mediating how plants respond to environmental change. Leaf and seed traits can also covary. For example, species with larger seeds tend to have larger leaves. However, the covariation between leaf and seed traits has not been fully resolved due to the confounding effects of plant functional groups and climate variability. Using a sample of 33 common herbs in Songnen grassland, we explored whether seed traits were associated with leaf traits, and whether the correlations between leaf and seed traits were constrained by life history (or growth form) and climate change. We found significant interspecific trait variation (≥ 95%) and functional group differences in most traits. Annual species and forbs exhibited strong positive correlations between leaf and seed traits (e.g., leaf number vs. seed number), while relationships were decoupled for perennial grasses. Unexpectedly, the relationships between leaf and seed traits differed between sampling years. For species in 2017, seeding intensity increased with leafing intensity; while, in 2016, this positive trend was not significant. The relationships between leaf and seed traits are influenced by functional groups, and affected by interannual climate variability mediated by changes in plant individual size. Our results highlight species-specific traits and their correlations in response to environmental conditions, providing critical insights for predicting grassland community responses to climate change.

Indexed as

Plant LeavesSeedsClimate ChangeGrasslandPhenotypeSpecies Specificityclimate changeextreme rainfall eventsplant functional groupsseeding intensityseed-leaf correlations

Identifiers

PMID42069525
PMCPMC13285614

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.