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

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  • Shengnan Chen

    (Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
    Institute of Environmental Microbial Technology, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Huiyan He

    (Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
    Institute of Environmental Microbial Technology, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Rongrong Zong

    (Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
    Institute of Environmental Microbial Technology, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Kaiwen Liu

    (Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
    Institute of Environmental Microbial Technology, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Yutian Miao

    (Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
    Institute of Environmental Microbial Technology, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Miaomiao Yan

    (Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
    Institute of Environmental Microbial Technology, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Lei Xu

    (Shaanxi Key Laboratory of Environmental Engineering, Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
    Institute of Environmental Microbial Technology, Xi’an University of Architecture and Technology, Xi’an 710055, China)

Abstract

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.

Suggested Citation

  • Shengnan Chen & Huiyan He & Rongrong Zong & Kaiwen Liu & Yutian Miao & Miaomiao Yan & Lei Xu, 2020. "Geographical Patterns of Algal Communities Associated with Different Urban Lakes in China," IJERPH, MDPI, vol. 17(3), pages 1-19, February.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:1009-:d:316894
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    References listed on IDEAS

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    1. Jian-Chao Shi & Ting-Lin Huang & Gang Wen & Fei Liu & Xiao-Peng Qiu & Bao-Shan Wang, 2016. "The Variation Characteristic of Sulfides and VOSc in a Source Water Reservoir and Its Control Using a Water-Lifting Aerator," IJERPH, MDPI, vol. 13(4), pages 1-13, April.
    2. José M. Montoya & Stuart L. Pimm & Ricard V. Solé, 2006. "Ecological networks and their fragility," Nature, Nature, vol. 442(7100), pages 259-264, July.
    3. Hai-Han Zhang & Sheng-Nan Chen & Ting-Lin Huang & Wei-Xing Ma & Jin-Lan Xu & Xin Sun, 2015. "Vertical Distribution of Bacterial Community Diversity and Water Quality during the Reservoir Thermal Stratification," IJERPH, MDPI, vol. 12(6), pages 1-13, June.
    4. Hai-Han Zhang & Sheng-Nan Chen & Ting-Lin Huang & Pan-Lu Shang & Xiao Yang & Wei-Xing Ma, 2015. "Indoor Heating Drives Water Bacterial Growth and Community Metabolic Profile Changes in Building Tap Pipes during the Winter Season," IJERPH, MDPI, vol. 12(10), pages 1-13, October.
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    Cited by:

    1. Sheng-Nan Chen & Pan-Lu Shang & Peng-Liang Kang & Man-Man Du, 2020. "Metabolic Functional Community Diversity of Associated Bacteria during the Degradation of Phytoplankton from a Drinking Water Reservoir," IJERPH, MDPI, vol. 17(5), pages 1-12, March.
    2. Miaomiao Yan & Shengnan Chen & Tinglin Huang & Baoqin Li & Nan Li & Kaiwen Liu & Rongrong Zong & Yutian Miao & Xin Huang, 2020. "Community Compositions of Phytoplankton and Eukaryotes during the Mixing Periods of a Drinking Water Reservoir: Dynamics and Interactions," IJERPH, MDPI, vol. 17(4), pages 1-28, February.

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