Evidence map›Paper›PMID 38376351›Full record

ArticleMicrobiology spectrum2024

A comparative analysis of soil physicochemical properties and microbial community structure among four shelterbelt species in the northeast China plain.

Jia Yang, Dang Ding, Xiuru Zhang, Huiyan Gu

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.7field-weighted citation impact, top 8% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Effects of planting density on the growth ofFrontiers in microbiology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. 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

4 authors at 1 institution in 1 country.

Jia YangSchool of Forestry, Northeast Forestry University, Harbin, China.
Dang DingSchool of Forestry, Northeast Forestry University, Harbin, China.
Xiuru ZhangSchool of Forestry, Northeast Forestry University, Harbin, China.
Huiyan GuSchool of Forestry, Northeast Forestry University, Harbin, China.ORCID 0000-0002-5718-2744
Northeast Forestry University · CN

Funding

MOST | National Key Research and Development Program of China (NKPs) 2021YFD150070506
6 · The paper itself

Abstract

Conducting studies that focus on the alterations occurring in the soil microbiome within protection forests in the northeast plain is of utmost importance in evaluating the ecological rehabilitation of agricultural lands in the Mollisols region. Nevertheless, the presence of geographic factors contributes to substantial disparities in the microbiomes, and thus, addressing this aspect of influence becomes pivotal in ensuring the credibility of the collected data. Consequently, the objective is to compare the variations in soil physicochemical properties and microbial community structure within the understory of diverse shelterbelt species. In this study, we analyzed the understory soils of IMPORTANCE: The focal point of this study lies in the implementation of a controlled experiment conducted under field conditions. In this experiment, we deliberately selected four shelterbelts within the same field, characterized by identical planting density, and planting year. This deliberate selection effectively mitigated the potential impact of extraneous factors on the three microbiomes, thereby enhancing the reliability and validity of our findings.

Indexed as

MicrobiotaSoilBacteriaChinaForestsReproducibility of ResultsSoil MicrobiologyTreesSoilenzyme activitymicrobial diversityMollisolsrevegetationsequencingsoil management

Identifiers

PMID38376351
PMCPMC10986494
OpenAlexW4391963462

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.