Evidence map›Paper›PMID 42572616›Full record

ArticlePeerJ2026

Spatiotemporal dynamics of cyanobacterial blooms in the middle and lower reaches of the Xin River (Jiangxi, China) and their driving factors.

Shiyu Zhou, Jinfu Liu, Jie Zhu, Guangshun Liu, Yezhi Huang, Yuwei Chen, Wei Li, Yu Xia, Liancong Luo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2026. 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

9 authors.

Shiyu Zhou *Jiangxi Key Laboratory of Water Resources Allocation and Efficient Utilization, College of Water Conservancy, Jiangxi University of Water Resources and Electric Power, Nanchang, Jiangxi, China.
Jinfu Liu *Jiangxi Key Laboratory of Water Resources Allocation and Efficient Utilization, College of Water Conservancy, Jiangxi University of Water Resources and Electric Power, Nanchang, Jiangxi, China.
Jie ZhuJiangxi Key Laboratory of Water Resources Allocation and Efficient Utilization, College of Water Conservancy, Jiangxi University of Water Resources and Electric Power, Nanchang, Jiangxi, China.
Guangshun LiuJiangxi Key Laboratory of Water Resources Allocation and Efficient Utilization, College of Water Conservancy, Jiangxi University of Water Resources and Electric Power, Nanchang, Jiangxi, China.
Yezhi HuangJiangxi Key Laboratory of Water Resources Allocation and Efficient Utilization, College of Water Conservancy, Jiangxi University of Water Resources and Electric Power, Nanchang, Jiangxi, China.
Yuwei ChenJiangxi Key Laboratory of Water Resources Allocation and Efficient Utilization, College of Water Conservancy, Jiangxi University of Water Resources and Electric Power, Nanchang, Jiangxi, China.
Wei LiJiangxi Key Laboratory for Intelligent Monitoring and Integrated Restoration of Watershed Ecosystem, School of Soil and Water Conservation, Jiangxi University of Water Resources and Electric Power, Nanchang, Jiangxi, China.
Yu XiaJiangxi Key Laboratory of Water Resources Allocation and Efficient Utilization, College of Water Conservancy, Jiangxi University of Water Resources and Electric Power, Nanchang, Jiangxi, China.
Liancong LuoJiangxi Key Laboratory of Water Resources Allocation and Efficient Utilization, College of Water Conservancy, Jiangxi University of Water Resources and Electric Power, Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzed phytoplankton monitoring data (2019-2023) from the middle-lower reaches of the Xin River to clarify cyanobacterial spatiotemporal distributions and their environmental drivers. Sixty-six phytoplankton genera across seven phyla were detected, with Chlorophyta being the dominant phylum, followed sequentially by Bacillariophyta and cyanobacteria. The inter-annual variation of phytoplankton biomass ranged from 2.42 to 11.46 mg/L, while the cyanobacteria biomass varied from 0 to 2.63 mg/L, accounting for 7.54% of the total phytoplankton biomass. The dominant cyanobacteria species included

Indexed as

CyanobacteriaEnvironmental MonitoringEutrophicationPhytoplanktonRiversBiomassChinaPhosphorusSeasonsSpatio-Temporal AnalysisPhosphorusCorrelation analysisCyanobacteriaSpatiotemporal variationWater environmental factorsXin River

Identifiers

PMID42572616
PMCPMC13453142

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.