Evidence map›Paper›PMID 41867591›Full record

ArticleACS omega2026

Effect of Water Quality on Phytoplankton Structure in Deep Freshwater Lakes over 10 Years: A Case Study of Fuxian Lake and Xingyun Lake.

Ting Zhao, Xutao Wang, Kedong Yin, Xiaotian Han, Yafeng Zhang, Dongxing Chen, Bo Liang, Lianghong Chen

Abstract read
In one paragraph

Article in ACS omega, 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

8 authors.

Ting ZhaoEco-Environmental Monitoring and Research Center, Pearl River Valley and South China Sea Ecology and Environment Administration, Ministry of Ecology and Environment, PCR, Guangzhou 510610, China.ORCID https://orcid.org/0000-0002-0918-6177
Xutao WangEco-Environmental Monitoring and Research Center, Pearl River Valley and South China Sea Ecology and Environment Administration, Ministry of Ecology and Environment, PCR, Guangzhou 510610, China.ORCID https://orcid.org/0009-0000-5500-9916
Kedong YinSchool of Marine Sciences, Sun Yat-Sen University, Zhuhai 528478, China.
Xiaotian HanChangjiang River Estuary Ecosystem Research Station, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.ORCID https://orcid.org/0000-0003-1175-7925
Yafeng ZhangEco-Environmental Monitoring and Research Center, Pearl River Valley and South China Sea Ecology and Environment Administration, Ministry of Ecology and Environment, PCR, Guangzhou 510610, China.
Dongxing ChenEco-Environmental Monitoring and Research Center, Pearl River Valley and South China Sea Ecology and Environment Administration, Ministry of Ecology and Environment, PCR, Guangzhou 510610, China.
Bo LiangEco-Environmental Monitoring and Research Center, Pearl River Valley and South China Sea Ecology and Environment Administration, Ministry of Ecology and Environment, PCR, Guangzhou 510610, China.
Lianghong ChenEco-Environmental Monitoring and Research Center, Pearl River Valley and South China Sea Ecology and Environment Administration, Ministry of Ecology and Environment, PCR, Guangzhou 510610, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the dynamics of water quality parameters and their relationship with algal biomass is crucial for the sustainable management of plateau lake ecosystems. This study presents a decade-long (2009-2018) comparative analysis of two typical plateau lakes on the Yunnan-Guizhou Plateau: the oligo-mesotrophic Fuxian Lake and the eutrophic Xingyun Lake. We investigated the spatiotemporal variations in key water quality parametersincluding nitrogen species, phosphorus, dissolved oxygen (DO), and chemical oxygen demand (COD)and their correlations with phytoplankton community structure and biomass. Our findings revealed stark contrasts between the two systems. Xingyun Lake exhibited significantly elevated nutrient levels with total nitrogen (TN) and total phosphorus (TP) consistently exceeding Class III water quality standards, indicative of eutrophication. In contrast, Fuxian Lake maintained good water quality with low nutrient concentrations and high DO levels. Phytoplankton community structure also differed markedly; Fuxian Lake supported a diverse assemblage dominated by Cryptophyceae, Chlorophyceae, and Bacillariophyceae, whereas Xingyun Lake was predominated by cyanobacteria, posing a high risk of harmful blooms. Correlation analysis further demonstrated that algal biomass in Xingyun Lake was more sensitive and strongly correlated with water quality parameters, particularly with NO

Identifiers

PMID41867591
PMCPMC13000619

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.