Evidence map›Paper›PMID 41900444›Full record

ReviewMicroorganisms2026

How Does Woodland Use Affect the Multifunctionality of Soil Ecosystems?

Jing Li, Jun Yao, Nan He, Deliang Zhang, Jing Zhang, Xingyuan Ma

Abstract readReview
In one paragraph

Review in Microorganisms, 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.

Jing LiCollege of Forestry, Southwest Forestry University, Kunming 650224, China.
Jun YaoCollege of Agriculture and Forestry Science and Technology, Yuxi Vocational College of Agriculture, Yuxi 653100, China.ORCID 0009-0002-5415-1907
Nan HeCollege of Forestry, Southwest Forestry University, Kunming 650224, China.
Deliang ZhangCollege of Forestry, Southwest Forestry University, Kunming 650224, China.
Jing ZhangCollege of Forestry, Southwest Forestry University, Kunming 650224, China.
Xingyuan MaCollege of Forestry, Southwest Forestry University, Kunming 650224, China.

Funding

National Natural Science Foundation of China 32460390Yunnan Province Basic Research Project-Youth Project 202401AU070086Yunnan Provincial Key Research and Development Program 202403AC100039-05
6 · The paper itself

Abstract

Humans have made tremendous efforts to explore how biodiversity changes affect ecosystem processes and human well-being. It has been found that, in addition to biodiversity, various drivers of global change also play significant roles in ecosystem functioning. Land use is a key driver of global change, yet research on land use intensity has predominantly focused on agricultural and grassland ecosystems. There remains limited understanding of how land use intensity alters the relationships among biodiversity, ecosystem functions, and multifunctionality, particularly in forest ecosystems. This paper reviews recent advances in research on soil ecosystem multifunctionality, covering the effects of woodland use intensity, above- and belowground biodiversity, microbial diversity, and biotic interactions, as well as abiotic drivers. Through a comprehensive analysis of the integrated impacts of biodiversity, biotic interactions, and abiotic factors on soil ecosystem multifunctionality, the necessity of enhancing microbial research and its application in ecosystems is emphasized, providing a theoretical basis for forest management.

Indexed as

plant diversitysoil ecosystem multifunctionalitysoil microbial communitieswoodland use intensity

Identifiers

PMID41900444
PMCPMC13028702

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.