Evidence map›Paper›PMID 40906128›Full record

ArticleBiology2025

Differences and Influencing Factors of Soil Bacterial Communities Under Different Forest Types on the Southern Slope of the Qilian Mountains.

Shuang Ji, Huichun Xie, Shaobo Du, Shaoxiong Zhang, Zhiqiang Dong, Hongye Li, Xunxun Qiu

Abstract read
In one paragraph

Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Shuang JiCollege of Geographical Sciences, Qinghai Normal University, Xining 810008, China.
Huichun XieQilian Mountain Southern Slope Forest Ecosystem Research Station, Haidong 810500, China.
Shaobo DuCollege of Geographical Sciences, Qinghai Normal University, Xining 810008, China.
Shaoxiong ZhangSchool of Life Sciences, Qinghai Normal University, Xining 810008, China.
Zhiqiang DongCollege of Geographical Sciences, Qinghai Normal University, Xining 810008, China.
Hongye LiQilian Mountain Southern Slope Forest Ecosystem Research Station, Haidong 810500, China.
Xunxun QiuCollege of Geographical Sciences, Qinghai Normal University, Xining 810008, China.

Funding

Formation mechanism and utilization team of characteristic germplasm resources in the Qinghai Tibet Plateau QHKLYC-GDCXCY-2024-597Kunlun Talent · High-end Innovation and Entrepreneurship Talent Program, Featured Talent Foundation of China 1003-005024011
6 · The paper itself

Abstract

Understanding the distribution patterns of soil bacterial community structure and diversity across different forest types is essential for elucidating the mechanisms underlying microbial community assembly and its ecological drivers, particularly under the pressures of climate change. In this study, we examined six forest types-including four monocultures and two mixed-species stands-to systematically evaluate the structural composition, diversity metrics, and functional potential of soil bacterial communities. Significant differences in microbial structure and functional composition were observed among forest types. Mixed forests exhibited higher soil nutrient levels, more complex structures, and greater water retention capacity, resulting in significantly higher bacterial and functional diversity compared to monoculture forests. Bacterial diversity was greater in subsurface layers than in surface layers. Surface communities in monoculture forests showed relatively high structural heterogeneity, whereas deeper communities in mixed forests displayed more pronounced differentiation. The dominant bacterial phyla were mainly related to carbon and nitrogen metabolism, compound degradation, and anaerobic photosynthesis. Surface bacterial communities were primarily influenced by catalase activity, alkali-hydrolysable nitrogen, bulk density, and pH, whereas subsurface communities were largely controlled by pH, with supplementary regulation by nitrogen and potassium availability. Therefore, forest type and soil depth jointly influence the diversity, composition, and functional attributes of soil microbial communities by modulating soil physicochemical conditions.

Indexed as

forest typeinfluencing factorssoil bacterial diversitysouthern slope of the Qilian Mountains

Identifiers

PMID40906128
PMCPMC12383728

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.