Evidence map›Paper›PMID 41935078›Full record

ArticleScientific reports2026

Soil microbial community assembly drives ecosystem multifunctionality under grazing disturbance by regulating diversity and network structure.

Kangwei Jiang, Cheng Lv, Yafei Wang, Hong Li, Reyimu Tuerxunnayi, Pujia Yu, Qingqing Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Kangwei JiangCollege of Grassland Science, Xinjiang Agricultural University, Ürümqi, 830052, China.
Cheng LvXiniiang Key Laboratory for Ecological Adaptation and Evolution of Extreme Environment Biology, College of Life Sciences, Xinjiang Agricultural University, Ürümqi, 830052, China.
Yafei WangCollege of Resource and Environment, Xinjiang Agricultural University, Ürümqi, 830052, China.
Hong LiCollege of Grassland Science, Xinjiang Agricultural University, Ürümqi, 830052, China.
Reyimu TuerxunnayiCollege of Resource and Environment, Xinjiang Agricultural University, Ürümqi, 830052, China.
Pujia YuSchool of Geographical Sciences, Southwest University, Chongqing, 400715, China.
Qingqing ZhangXiniiang Key Laboratory for Ecological Adaptation and Evolution of Extreme Environment Biology, College of Life Sciences, Xinjiang Agricultural University, Ürümqi, 830052, China. zhangqingqing@xjau.edu.cn.

Funding

National Natural Science Foundation of China 32260311Natural Science Foundation of Xinjiang Uygur Autonomous Region 2022D01A189
6 · The paper itself

Abstract

In the context of global climate change, overgrazing has impacted ecosystem multifunctionality (EMF). However, the influence of different characteristics of microbial communities on EMF under grazing pressures remains unclear. In this study, we examined how microbial community diversity, co-occurrence network structure, and assembly processes influence ecosystem function and multifunctionality under three grazing pressures: light grazing, heavy grazing, and grazing exclusion. Our results show that light grazing significantly increased microbial community diversity, richness, network complexity, and stability compared to heavy grazing. Soil bacterial and fungal communities were predominantly shaped by stochastic processes. As grazing pressure increased, the proportion of deterministic processes in both bacterial and fungal communities also grew. Furthermore, light grazing significantly reduced both ecosystem functions and multifunctionality compared to heavy grazing. We observed that microbial community assembly processes under grazing disturbance can directly or indirectly regulate EMF by shaping community diversity and network structure. The relationship with EMF appears to depend more on diversity than on network structure. Moreover, we emphasize that the complexity and stability of community networks are stronger predictors of EMF changes than diversity alone. In conclusion, the protection and careful management of microbial communities are crucial for enhancing ecosystem resilience and supporting sustainable development.

Indexed as

BiodiversityEcosystemMicrobiotaSoil MicrobiologyAnimalsBacteriaClimate ChangeFungiHerbivoryCommunity assemblyEcosystem functionGrazingNetwork complexityStability

Identifiers

PMID41935078
PMCPMC13201645

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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.