Evidence map›Paper›PMID 40283125›Full record

ArticleLife (Basel, Switzerland)2025

Structural and Functional Characteristics of Soil Microbial Communities in Forest-Wetland Ecotones: A Case Study of the Lesser Khingan Mountains.

Junnan Ding, Shaopeng Yu

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2025. 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
  2. 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.

Junnan DingHeilongjiang Province Key Laboratory of Cold Region Wetland Ecology and Environment Research, Harbin University, Harbin 150086, China.ORCID 0000-0002-6722-5314
Shaopeng YuHeilongjiang Province Key Laboratory of Cold Region Wetland Ecology and Environment Research, Harbin University, Harbin 150086, China.

Funding

Natural Science Foundation of Heilongjiang Province PL2024D004
6 · The paper itself

Abstract

Soil microorganisms play an essential role in vegetation succession, nutrient cycling, and ecosystem restoration. This study investigates the responses of soil microbial communities to ecological transitions from forest to wetland in the Lesser Khingan Mountains, including mixed forest, conifer forest, wetland edge, and natural wetland. The results indicated that natural wetland soils were weakly acidic and contained significantly higher organic matter, total nitrogen, and available phosphorus compared to other soils. Soil bulk density increased with depth. Actinobacteria, Acidobacteriota, and Proteobacteria dominated in mixed forest, wetland edge, and natural wetland soils, respectively, showing minimal variation between depths. Principal component analysis and non-metric multidimensional scaling demonstrated distinct bacterial communities between natural wetlands and wetland edges. Redundancy analysis revealed that soil bacterial communities differed significantly between 15 cm and 30 cm layers, influenced by potassium, bulk density, organic carbon, phosphorus, and nitrogen. Proteobacteria and Bacteroidota abundances correlated positively with nutrients, while Acidobacteriota and Verrucomicrobiota correlated negatively with available potassium. Chemotrophic and aerobic bacteria dominated in forest soils, whereas fermentation-related and anaerobic bacteria were prevalent in wetland soils. The study highlights how ecological transitions and soil properties shape soil microbial communities and their functions.

Indexed as

bacterial diversityhigh-throughput sequencingsoil microorganismssoil physicochemical propertiesvegetation types

Identifiers

PMID40283125
PMCPMC12028757

What OpenQuestion holds

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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.