Evidence map›Paper›PMID 42239851›Full record

ArticleFrontiers in plant science2026

Plant functional traits, but not soil abiotic properties, mediate the legacy effects of microplastics on plant community assembly.

Xiu-Jing Ma, Wei-Ming He

Abstract read
In one paragraph

Article in Frontiers in plant science, 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

2 authors.

Xiu-Jing MaCollege of Forestry, Hebei Agricultural University, Baoding, China.
Wei-Ming HeCollege of Forestry, Hebei Agricultural University, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil microplastics (MPs) generate a persistent "memory" shaping the assembly of subsequent plant communities. While the direct effects of MPs have been extensively studied, the underlying pathways governing their legacy effects-whether they operate through altered soil properties (i.e., nutrients and pH) or modified plant traits-remain poorly understood. We examined MP legacy effects on 15 variables across a 12-level MP abundance gradient. Piecewise structural equation modeling (pSEM) was employed to quantify the relative contributions of soil abiotic properties and plant functional traits in mediating MP legacy effects on community assembly. MP legacy significantly increased grass abundance and soil nutrients, but decreased legume abundance. Across the abundance gradient, the majority of the 15 measured variables remained stable, with only the relative electron transport rate (rETR) showing a significant linear decline. pSEM revealed that the community-level shifts were not attributable to the changes in soil nutrients and pH. Rather, MP legacy effects were predominantly mediated via modifications to plant functional traits-specifically rETR, individual plant size, and root/shoot ratio-which emerged as the primary drivers of plant diversity, functional composition, and productivity. Consequently, the footprint of soil MPs on plant communities operates through a trait-mediated filter rather than the modification of soil abiotic properties. By identifying plant functional traits as the key mechanistic link, this study provides a framework for predicting the potential legacy consequences of soil MPs for plant community assembly.

Indexed as

legacy effectsplant community assemblyplant functional traitssoil microplasticsspecies richnesstrait-mediated pathways

Identifiers

PMID42239851
PMCPMC13226187

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.