Evidence map›Paper›PMID 32230763›Full record

ArticleMicroorganisms2020

Adaptive Development of Soil Bacterial Communities to Ecological Processes Caused by Mining Activities in the Loess Plateau, China.

Zhanbin Luo, Jing Ma, Fu Chen, Xiaoxiao Li, Qi Zhang, Yongjun Yang

Abstract read
In one paragraph

Article in Microorganisms, 2020. 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
–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

7 citing papers in PubMed.

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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.

Zhanbin LuoSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221008, China.ORCID 0000-0002-2470-7620
Jing MaLow Carbon Energy Institute, China University of Mining and Technology, Xuzhou 221008, China.ORCID 0000-0003-1177-1305
Fu ChenSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221008, China.ORCID 0000-0002-9145-6702
Xiaoxiao LiSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221008, China.
Qi ZhangSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221008, China.
Yongjun YangSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221008, China.

Funding

National Natural Science Foundation of China 51974313, 41907405Natural Science Foundation of Jiangsu Province BK20180641
6 · The paper itself

Abstract

Microorganisms are the driving force behind the circulation and transformation of the soil substance. The development of soil bacterial communities is critical for ecosystem restoration and evolution. In the Loess Plateau, coal mining activities have aggravated the deterioration of the fragile local ecological environment. The adaptive development of soil bacterial communities in response to different ecological processes caused by coal mining activities was explored through high-throughput sequencing technology and an ecological network analysis of the mining subsidence area of the Daliuta Coal Mine and vegetation rehabilitation area of the Heidaigou Coal Mine in the Loess Plateau. The results showed that while mining subsidence was inhibited, vegetation rehabilitation promoted the soil physicochemical properties. Soil organic matter, available phosphorus and available potassium in the subsidence area decreased significantly (

Indexed as

Loess Plateaumining subsidencemolecular ecological networksoil bacteriavegetation rehabilitation

Identifiers

PMID32230763
PMCPMC7232194

What OpenQuestion holds

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LicenceCC BY
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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.