Evidence map›Paper›PMID 36612805›Full record

ArticleInternational journal of environmental research and public health2022

Phytoplankton-Zooplankton Community Structure in Coal Mining Subsidence Lake.

Tingyu Fan, Hayat Amzil, Wangkai Fang, Liangji Xu, Akang Lu, Shun Wang, Xingming Wang, Yingxiang Chen, Jinhong Pan, Xiangping Wei

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In one paragraph

Article in International journal of environmental research and public health, 2022. 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

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

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

10 authors.

Tingyu FanSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Hayat AmzilSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Wangkai FangSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Liangji XuSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Akang LuSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Shun WangSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Xingming WangSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Yingxiang ChenSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Jinhong PanSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Xiangping WeiHuaibei Mining Group, Huaibei 235000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Land subsidence from coal mining has shaped new artificial aquatic ecosystems, these subsidence lakes are known for their restricted ecological system, water pollution, and extreme habitat conditions. However, knowledge concerning the community structure of plankton in these types of water bodies is still limited. Therefore, both phytoplankton and zooplankton communities' abundance, distribution, and diversity, as well as relations of these communities to physicochemical water quality variables were analyzed, alongside the interaction between phytoplankton and zooplankton groups. The results indicate zooplankton abundance was 842.375 to 186,355.0 ind./L. Biomass ranged from 0.3408 to 10.0842 mg/L. Phytoplankton abundance varied between 0.541 × 10

Indexed as

Coal MiningPhytoplanktonAnimalsBiomassEcosystemLakesPlanktonZooplanktoncommunity abundancediversityphytoplanktonsubsidence lakewater parameterszooplankton

Identifiers

PMID36612805
PMCPMC9819133

What OpenQuestion holds

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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.