Evidence map›Paper›PMID 32556977›Full record

ReviewEnvironmental science and pollution research international2020

Bacterial eutrophic index for potential water quality evaluation of a freshwater ecosystem.

Bin Ji, Jiechao Liang, Rong Chen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Seasonal Succession of Bacterial Communities in Three Eutrophic Freshwater Lakes.International journal of environmental research and public health · 2021
    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

3 authors.

Bin JiDepartment of Water and Wastewater Engineering, Wuhan University of Science and Technology, Wuhan, 430065, China. binji@wust.edu.cn.ORCID http://orcid.org/0000-0002-5669-0931
Jiechao LiangDepartment of Water and Wastewater Engineering, Wuhan University of Science and Technology, Wuhan, 430065, China.
Rong ChenDepartment of Water and Wastewater Engineering, Wuhan University of Science and Technology, Wuhan, 430065, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water quality evaluation of freshwater ecosystems has been widely reported based on the physical and chemical parameters of water (e.g., Carlson's trophic state index (TSI)), while the aquatic microorganisms are actually a more intuitive way to reflect the eutrophic levels. This article was based on 27 global freshwater ecosystems including freshwater rivers, lakes, and reservoirs. Bacterial eutrophic index (BEI) was determined as the function of temperature and abundances of Cyanobacteria and Actinobacteria. BEI and TSI values of the freshwater ecosystems were determined and the correlation analysis of TSI and BEI indicated their positive correlation (ρ = 0.452, p < 0.01). Furthermore, an eutrophication classification based on BEI was proposed. It turned out that BEI was a possible feasible method for water quality evaluation. The aquatic microorganism-based method such as BEI should be considered for water quality evaluation of a freshwater ecosystem. Complicated models combined with physicochemical (e.g., TSI) and microbial (e.g., BEI) method are recommended for water quality evaluation of a freshwater ecosystem in future.

Indexed as

CyanobacteriaWater QualityEcosystemEutrophicationLakesActinobacteriaBacterial eutrophic indexCarlson’s trophic state indexCyanobacteriaEutrophicationWater quality evaluation

Identifiers

What OpenQuestion holds

Textmetadata
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.