Evidence map›Paper›PMID 41624107›Full record

ArticleEcology and evolution2026

Soil Fauna Alter the Relationship Between Plant Litter Diversity and Microbial Communities in Mixed Litter Decomposition.

Pengpeng Dou, Dunmei Lin

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Pengpeng DouInstitute of Ecological Conservation and Restoration Chinese Academy of Forestry Beijing China.ORCID https://orcid.org/0000-0001-5866-8853
Dunmei LinKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education Chongqing University Chongqing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how litter diversity and soil fauna drive microbial communities is critical for revealing trophic cascades in decomposition processes. We conducted a 460-day field decomposition experiment in a subtropical forest, placing litter mixtures of one to four tree species into mesh bags with 25 μm or 4 mm openings to create fauna-excluded and fauna-accessible treatments, and assessing microbial community composition and biomass using phospholipid fatty acid (PLFA) analysis. The results showed that the litter traits and diversity significantly influenced microbial PLFA content. Both fungal and bacterial PLFA content increased with higher levels of nitrogen, phosphorus, manganese, potassium, and leaf thickness in the mixed litter. Soil fauna had a significant impact on microbial PLFA content and its community distribution. A notable interaction between soil fauna and litter richness was observed: soil fauna slowed the decline of bacterial PLFA content as litter richness increased, highlighting their role in moderating the impact of litter diversity on microbial communities. Additionally, soil fauna reversed the relationship between mixed litter traits and arbuscular mycorrhizal fungi (AMF) PLFA content. While a negative correlation was observed in the absence of soil fauna, their presence turned it positive, demonstrating that soil fauna modifies the impact of litter traits on AMF. These findings demonstrate the intricate interactions between plant litter diversity, soil fauna, and microbes, highlighting the crucial role of soil fauna in modulating the effect of plant diversity on microbial communities during decomposition.

Indexed as

functional diversitylitter decompositionlitter traitsphospholipid fatty acidsoil fauna

Identifiers

PMID41624107
PMCPMC12856379

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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.