Abstract

AbstractPhytoplankton and environmental variables were measured every 2 months in 2005 in Dajingshan, a subtropical pumped-water reservoir in South China. Phytoplankton community structure and its relationship with environmental factors including hydrological and chemical variables were explored by multivariate analysis. In total, over 100 species of algae were identified. Total abundance ranged from 0.85 × 106 to 106.27 × 106 cells/L, and total biomass from 1.0 to 16.8 mg/L (mean 6.94 mg/L). The community was dominated by Pseudanabaena limnetica, but in spring, Synedra ulna and P. limnetica were co-dominant. The community was relatively stable, but change rates of community structure in autumn and summer were higher than in winter and spring. Ordination by canonical correspondence analysis (CCA) divided all samples into four groups, distributed in the four districts formed by axes 1 and 2, corresponding to the four seasons: winter, spring, summer and autumn. Most samples were located in the summer and autumn districts. Fifty-four main species of phytoplankton were selected for CCA. Cyanophyta (Cyanobacteria), Bacillariophyta and Euglenophyta were restricted to the districts at the left of axis 1, but most Chlorophyta, Chrysophyta and Cryptophyta were to the right. CCA revealed that temperature and precipitation were important in driving dynamics of species composition and phytoplankton abundance.KeywordsChemical Oxygen DemandTotal PhosphorusCanonical Correspondence AnalysisPhytoplankton CommunityNitrate NitrogenThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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