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Geographical Patterns of Algal Communities Associated with Different Urban Lakes in China

Urban lakes play an important role in drainage and water storage, regulating urban microclimate conditions, supplying groundwater, and meeting citizens’ recreational needs. However, geographical patterns of algal communities associated with urban lakes from a large scale are still unclear. In the pr...

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Autores principales: Chen, Shengnan, He, Huiyan, Zong, Rongrong, Liu, Kaiwen, Miao, Yutian, Yan, Miaomiao, Xu, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037785/
https://www.ncbi.nlm.nih.gov/pubmed/32033450
http://dx.doi.org/10.3390/ijerph17031009
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author Chen, Shengnan
He, Huiyan
Zong, Rongrong
Liu, Kaiwen
Miao, Yutian
Yan, Miaomiao
Xu, Lei
author_facet Chen, Shengnan
He, Huiyan
Zong, Rongrong
Liu, Kaiwen
Miao, Yutian
Yan, Miaomiao
Xu, Lei
author_sort Chen, Shengnan
collection PubMed
description Urban lakes play an important role in drainage and water storage, regulating urban microclimate conditions, supplying groundwater, and meeting citizens’ recreational needs. However, geographical patterns of algal communities associated with urban lakes from a large scale are still unclear. In the present work, the geographical variation of algal communities and water quality parameters in different urban lakes in China were determined. The water quality parameters were examined in the samples collected from north, central, south, and coastal economic zones in China. The results suggested that significant differences in water quality were observed among different geographical distribution of urban lakes. The highest total phosphorus (TP)(0.21 mg/L) and total nitrogen (TN) (3.84 mg/L) concentrations were found in XinHaiHu (XHH) lake, it also showed highest the nitrate nitrogen (NO(3)(−)-N) (0.39 mg/L),total organic carbon(TOC) (9.77 mg/L), and COD (Mn) (9.01 mg/L) concentrations among all samples. Environmental and geographic factors also cause large differences in algal cell concentration in different urban lakes, which ranged from 4700 × 10(4) to 247,800 × 10(4)cell/L. Through light microscopy, 6 phyla were identified, which includes Chlorophyta, Bacillariophyta, Cyanophyta, Dinophyta, Euglenophyta, and Cryptophyta. Meanwhile, the heat map with the total 63 algal community composition at the genus level profile different urban lakes community structures are clearly distinguishable. Further analyses showed that the dominant genera were Limnothrix sp., Synedra sp., Cyclotella sp., Nephrocytium sp., Melosira sp., and Scenedesmus sp. among all samples. The integrated network analysis indicated that the highly connected taxa (hub) were Fragilaria sp., Scenedesmus sp., and Stephanodiscus sp. The water quality parameters of NO(3)(−)-N and NH(4)(+)-N had significant impacts on the structural composition of the algal community. Additionally, RDA further revealed distinct algal communities in the different urban lakes, and were influenced by NO(2)(−)-N, Fe, and algal cell concentrations. In summary, these results demonstrate that the pattern of algal communities are highly correlated with geographic location and water quality on a large scale, and these results also give us further understanding of the complex algal communities and effectively managing eutrophication of urban lakes.
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spelling pubmed-70377852020-03-10 Geographical Patterns of Algal Communities Associated with Different Urban Lakes in China Chen, Shengnan He, Huiyan Zong, Rongrong Liu, Kaiwen Miao, Yutian Yan, Miaomiao Xu, Lei Int J Environ Res Public Health Article Urban lakes play an important role in drainage and water storage, regulating urban microclimate conditions, supplying groundwater, and meeting citizens’ recreational needs. However, geographical patterns of algal communities associated with urban lakes from a large scale are still unclear. In the present work, the geographical variation of algal communities and water quality parameters in different urban lakes in China were determined. The water quality parameters were examined in the samples collected from north, central, south, and coastal economic zones in China. The results suggested that significant differences in water quality were observed among different geographical distribution of urban lakes. The highest total phosphorus (TP)(0.21 mg/L) and total nitrogen (TN) (3.84 mg/L) concentrations were found in XinHaiHu (XHH) lake, it also showed highest the nitrate nitrogen (NO(3)(−)-N) (0.39 mg/L),total organic carbon(TOC) (9.77 mg/L), and COD (Mn) (9.01 mg/L) concentrations among all samples. Environmental and geographic factors also cause large differences in algal cell concentration in different urban lakes, which ranged from 4700 × 10(4) to 247,800 × 10(4)cell/L. Through light microscopy, 6 phyla were identified, which includes Chlorophyta, Bacillariophyta, Cyanophyta, Dinophyta, Euglenophyta, and Cryptophyta. Meanwhile, the heat map with the total 63 algal community composition at the genus level profile different urban lakes community structures are clearly distinguishable. Further analyses showed that the dominant genera were Limnothrix sp., Synedra sp., Cyclotella sp., Nephrocytium sp., Melosira sp., and Scenedesmus sp. among all samples. The integrated network analysis indicated that the highly connected taxa (hub) were Fragilaria sp., Scenedesmus sp., and Stephanodiscus sp. The water quality parameters of NO(3)(−)-N and NH(4)(+)-N had significant impacts on the structural composition of the algal community. Additionally, RDA further revealed distinct algal communities in the different urban lakes, and were influenced by NO(2)(−)-N, Fe, and algal cell concentrations. In summary, these results demonstrate that the pattern of algal communities are highly correlated with geographic location and water quality on a large scale, and these results also give us further understanding of the complex algal communities and effectively managing eutrophication of urban lakes. MDPI 2020-02-05 2020-02 /pmc/articles/PMC7037785/ /pubmed/32033450 http://dx.doi.org/10.3390/ijerph17031009 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Shengnan
He, Huiyan
Zong, Rongrong
Liu, Kaiwen
Miao, Yutian
Yan, Miaomiao
Xu, Lei
Geographical Patterns of Algal Communities Associated with Different Urban Lakes in China
title Geographical Patterns of Algal Communities Associated with Different Urban Lakes in China
title_full Geographical Patterns of Algal Communities Associated with Different Urban Lakes in China
title_fullStr Geographical Patterns of Algal Communities Associated with Different Urban Lakes in China
title_full_unstemmed Geographical Patterns of Algal Communities Associated with Different Urban Lakes in China
title_short Geographical Patterns of Algal Communities Associated with Different Urban Lakes in China
title_sort geographical patterns of algal communities associated with different urban lakes in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037785/
https://www.ncbi.nlm.nih.gov/pubmed/32033450
http://dx.doi.org/10.3390/ijerph17031009
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