Evidence map›Paper›PMID 42052386›Full record

ArticleFrontiers in microbiology2026

Effects of different harvesting methods on soil bacterial diversity in

Kaitao Zhai, Shengwei Liu, Hao Zhang, Rula Sa

Abstract read
In one paragraph

Article in Frontiers in microbiology, 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

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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

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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

4 authors.

Kaitao ZhaiCollege of Forestry, Inner Mongolia Agricultural University, Hohhot, China.
Shengwei LiuCollege of Forestry, Inner Mongolia Agricultural University, Hohhot, China.
Hao ZhangCollege of Forestry, Inner Mongolia Agricultural University, Hohhot, China.
Rula SaCollege of Forestry, Inner Mongolia Agricultural University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the context of global climate change, optimizing forest management is essential for improving cold-temperate forest ecosystems. However, the pathways through which forest management influences ecological functions via soil and microbial communities remain unclear. Methods: This study examined how logging methods impact the soil properties and bacterial communities in the Daxing 'an Mountains, Inner Mongolia. Sample plots for five conditions were analyzed: secondary gradual cutting (S1 and S2), secondary gradual cutting with replanting (S3 and S4), clear cutting (ML and MB), and original forests (L1, L2, and L3). Results: Logging methods drove distinct soil ecosystem responses among plots, mediated by long-term disturbance legacies and successional processes. (1) ML had the highest pH, total nitrogen, total phosphorus, and capillary porosity. MB showed a favorable nutrient status, characterized by high total potassium. S1 and S4 demonstrated good organic matter and physical structure, while S2 and S3 showed nutrient imbalances or structural issues. Notably, L1-L3 displayed the poorest nutrient levels and physical properties. (2) All plots shared Proteobacteria, Acidobacteriota, and Actinobacteriota as core phyla, with specific enrichments: Verrucomicrobiota in ML; Chloroflexi in S3-S4; and Planctomycetota in L1-L3. Diversity was highest in L1 and lowest in L3, with high levels in ML, MB, and S3 and lower levels in S1, S2, and S4. Community composition was similar among S4, ML, and MB but distinct in other plots. Bacterial biomarkers were significantly associated with soil factors (p < 0.05): A21b_unclassified (S1), Conclusions: This study found that appropriate logging methods improve soil nutrient content and bacterial diversity by regulating soil pH, total nitrogen, and moisture. These results demonstrate the profound impact of forest management on core soil ecological processes.

Indexed as

bacterial diversityBetula platyphylla secondary forestsDaxing 'an Mountainslogging methodssoil physical and chemical properties

Identifiers

PMID42052386
PMCPMC13111480

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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.