Understanding the patterns and mechanisms of urban water ecosystem degradation: phytoplankton community structure and water quality in the Qinhuai River, Nanjing City, China

Zhao, Zhenhua; Mi, Tengfei; Xia, Liling; Yan, Wenming; Jiang, Ying; Gao, Yanzheng

Understanding the patterns and mechanisms of urban water ecosystem degradation: phytoplankton community structure and water quality in the Qinhuai River, Nanjing City, China

2013

The temporal and spatial distribution characteristics of environmental parameters and the phytoplankton community were investigated in October 2010 and January 2011 in the Qinhuai River, Nanjing, China. Results showed that the water quality in the study area was generally poor, and the main parameters exceeding standards (level V) were nitrogen and phosphorus. The observed average concentrations of the total nitrogen (TN) were 4.90 mg L⁻¹in autumn and 9.29 mg L⁻¹in winter, and those of the total phosphorus (TP) were 0.24 mg L⁻¹in autumn and 0.88 mg L⁻¹in winter, respectively. Thirty-seven species, 30 genera, and four phyla of phytoplankton were detected in the river. Cyanophyta and Bacillariophyta were the dominant phyla in autumn, with average abundance and biomass of 221.5 × 10⁴ cells L⁻¹and 4.41 mg L⁻¹, respectively. The dominant population in winter was Bacillariophyta, and the average abundance and biomass were 153.4 × 10⁴ cells L⁻¹and 6.58 mg L⁻¹, respectively. The results of canonical correspondence analysis (CCA) between environmental parameters and phytoplankton communities showed that Chlorophyta could tolerate the higher concentrations of the permanganate index, nitrogen, and phosphorus in eutrophic water; Bacillariophyta could adapt well to changing water environments; and the TN/TP ratio had obvious impacts on the distributions of Cyanophyta, Euglenophyta, and some species of Chlorophyta. CCA analyses for autumn and winter data revealed that the main environmental parameters influencing phytoplankton distribution were water temperature, conductivity, and total nitrogen, and the secondary factors were dissolved oxygen, NH₄⁺–N, NO₃–N, TN, CODMₙ, TN/TP ratio, and oxidation-reduction potential.

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