Evidence map›Paper›PMID 31230246›Full record

ArticleEnvironmental science and pollution research international2019

The seasonal and spatial variations in diatom communities and the influence of environmental factors on three temperate reservoirs in Shandong province, China.

Shasha Zhang, Haiyan Pei, Jielin Wei, Yaowen Zhu, Yuting Wang, Zhigang Yang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2019. 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
–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

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.

Shasha ZhangSchool of Environmental Science and Engineering, Shandong University, Jinan, 250100, China.
Haiyan PeiSchool of Environmental Science and Engineering, Shandong University, Jinan, 250100, China. haiyanhup@126.com.ORCID http://orcid.org/0000-0001-6602-4740
Jielin WeiSchool of Environmental Science and Engineering, Shandong University, Jinan, 250100, China.
Yaowen ZhuSchool of Environmental Science and Engineering, Shandong University, Jinan, 250100, China.
Yuting WangSchool of Environmental Science and Engineering, Shandong University, Jinan, 250100, China.
Zhigang YangSchool of Environmental Science and Engineering, Shandong University, Jinan, 250100, China.

Funding

National Science Fund for Excellent Young Scholars 51322811Natural Science Foundation of China 51478251
6 · The paper itself

Abstract

Diatoms play an important role as ecological indicators, and some species of diatoms can easily cause water blooms, thereby decreasing the production capacity of water treatment plants and endangering drinking water safety. Mastering the diatom community dynamics is crucial for water supply. In this study, diatom composition, spatial distribution and succession were investigated in Datun Reservoir, Donghu Reservoir and Shuangwangcheng Reservoir, which are important drinking water sources in Shandong province, China. Results showed that the three reservoirs could be classified as being between mesotrophic and moderately eutrophic. The diatom community in each of the three reservoirs exhibited no obvious seasonal succession. The diatom communities in the three reservoirs were relatively simple in composition, with Synedra and Cyclotella being the most dominant groups all year round. Synedra had a negative relationship with NO

Indexed as

Environmental MonitoringChinaDiatomsPhosphorusSeasonsWater SupplyPhosphorusDiatom communityDominant speciesEnvironmental factorsReservoirsSeasonal patternSouth-to-North Water Diversion Project

Identifiers

PMID31230246

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.