Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Tree mycorrhizal association types shape oribatid mite communities in a subtropical forest

Yannan Chen, Cheng‐Lin Liu, Yu Chen, Xue Pan, Yuhui Ding, Stefan Scheu, Mark Maraun, Jun Chen

Applied Soil Ecology · 2025

Read source ↗ All evidence

Summary

This 2025 study investigates how tree mycorrhizal associations—specifically arbuscular mycorrhizal (AM) versus ectomycorrhizal (ECM) strategies—influence oribatid mite communities in a subtropical forest ecosystem. Oribatid mites are key soil microarthropods central to decomposition and nutrient cycling; their community structure serves as a sensitive indicator of soil food-web organisation. The research suggests that mycorrhizal type is a structuring force on belowground arthropod communities, with potential implications for soil functioning and nutrient availability in forest systems.

UK applicability

Direct applicability to UK systems is limited, as the study focuses on subtropical forest ecology rather than temperate agricultural or forestry contexts. However, findings on mycorrhizal-mediated soil community assembly may inform UK agroforestry design and woodland management practices that prioritise soil health and belowground biodiversity.

Key measures

Oribatid mite community composition, species richness, abundance, and taxonomic diversity relative to mycorrhizal association type of host trees

Outcomes reported

The study examined how different mycorrhizal association types (arbuscular mycorrhizal vs. ectomycorrhizal trees) shape the diversity and community structure of oribatid mites in subtropical forest soils. The research quantified oribatid mite abundance, richness, and taxonomic composition across tree types with contrasting mycorrhizal strategies.

Theme
Farming systems, soils & land use
Subject
Soil biology & microbiology
Study type
Research
Study design
Field observational study
Source type
Peer-reviewed study
Status
Published
Geography
China
System type
Agroforestry
DOI
10.1016/j.apsoil.2025.106397
Catalogue ID
SNmoqqrwgv-q9b1zx

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.