Environmental Science and Pollution Research

, Volume 26, Issue 17, pp 17512–17519 | Cite as

Phytoplankton community structure in relation to environmental factors and ecological assessment of water quality in the upper reaches of the Genhe River in the Greater Hinggan Mountains

  • Xiaoyu Li
  • Hongxian YuEmail author
  • Huibo Wang
  • Chengxue Ma
Research Article


Phytoplankton assemblages were investigated in 2015 along the seasonal changes of the Genhe River in the Greater Hinggan Mountains. The survey was performed in June (spring), August (summer), and October (autumn) at nine sampling stations to study the community composition, abundance, and biodiversity. The results showed that 61 species belonging to 16 genera were identified, including Bacillariophyta of 31 species, Dinophyta 2 species, Cyanophyta 2 species, Chlorophyta 20 species, Chrysophyta 2 species, and Cryptophyta 1 species; Besides, Bacillariophyta are dominant species. Shannon-Wiener (H′) and Pielou (J′) indices indicated that phytoplankton community was stable. And these two indices were significantly lower in summer than in spring and autumn. Phytoplankton abundance and biomass show significant differences in each season. The total phytoplankton abundance (1122.3 × 104 ind/L) and biomass (6.5709 mg/L) in summer are much higher than that in spring and autumn. There were few species and low abundance and biomass in the upper reaches of Genhe River; this fact can be explained by the cold climate in the Greater Higgnan Mountains region. Canonical correspondence analysis (CCA) was used to analyze the data. It revealed that Fe3+, Cu2+, pH, and water temperature (WT) were responsible for most of the variation in space in the phytoplankton community. These environmental parameters play an essential role in the community structure variation of phytoplankton in the upper reaches of Genhe River, the strong association between phytoplankton community structure and ecological factors is varied in each season.


Greater Higgnan Mountains Genhe River Phytoplankton Canonical correspondence analysis (CCA) Environmental factor 


Funding information

This work was supported by The National Key R&D Program of China (2016YFC0500406) and The Fundamental Research Funds for the Central Universities (2572014EA07-04 and 2572015CA19).


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Xiaoyu Li
    • 1
  • Hongxian Yu
    • 1
    Email author
  • Huibo Wang
    • 1
  • Chengxue Ma
    • 1
  1. 1.College of Wildlife ResourceNortheast Forestry UniversityHarbinChina

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