Evidence map›Paper›PMID 33415634›Full record

ArticleEnvironmental science and pollution research international2021

Grazing and mining influence the population of arbuscular mycorrhizal fungi around the opencast coal mine pit.

Nan Guo, Yinli Bi, Yanxu Zhang, Kun Wang, Li Xiao, Anna Krzyszowska Waitkus

Abstract read
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Article in Environmental science and pollution research international, 2021. 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
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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

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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

6 authors.

Nan GuoCollege of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.
Yinli BiCollege of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China. ylbi88@126.com.ORCID http://orcid.org/0000-0002-5562-1045
Yanxu ZhangCollege of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.
Kun WangCollege of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.
Li XiaoCollege of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.
Anna Krzyszowska WaitkusEnvironmental Consulting, 80 Eagle Nest, Laramie, WY, 82070, USA.

Funding

The State Key Research Development Program of China No. 2016YFC0501106
6 · The paper itself

Abstract

The influence of grazing and mining on arbuscular mycorrhizal fungi (AMF) species in grassland were studied around the opencast coal mine pit. The two sampling transects had been designed which was located in the grazing area and in the non-grazing area in the grassland on the north side of the opencast coal mining area. Besides, two control points with the direct distance of 8 km to the opencast coal mining area have been designed. The two points are located in the inside grassland station and outside the grassland station. We collected 3 replicate rhizosphere soil in every point which is from the two transects. We analyzed the genetic diversity of AMF, measured the chemical properties and enzyme of rhizosphere soil of Cleistogenes squarrosa, and explored their correlations using redundancy analysis. And we identified the factors affecting species diversity of AMF around the mining area. Our results showed that grazing on the grassland around the opencast coal mine will aggravate soil degradation and reduce the species richness and diversity of arbuscular mycorrhizal fungi in rhizosphere soil, which can be a theoretical basis for the scientific management of the grassland around the opencast mining area.

Indexed as

Coal MiningMycorrhizaeCoalRhizosphereSoilSoil MicrobiologyCoalSoilArbuscular mycorrhizal fungiDistanceEdaphic factorsGrazeOpencast coal mine

Identifiers

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Registered trials

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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.