Multivariate Analysis of Interactions Between Phytoplankton Biomass and Environmental Variables in Taihu Lake, China |
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Authors: | Xiaolong Wang Yonglong Lu Guizhen He Jingyi Han Tieyu Wang |
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Institution: | (1) Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Post Office Box 2871, 18 Shuangqing Road, Haidian District, Beijing, 10085, People’s Republic of China;(2) Graduate School of the Chinese Academy of Sciences, Beijing, 100039, People’s Republic of China |
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Abstract: | Phytoplankton variation in large shallow eutrophic lakes is characterized by high spatial and temporal heterogenity. Understanding
the pattern of phytoplankton variation and the relationships between it and environmental variables can contribute to eutrophic
lakes management. In this study Taihu Lake, one of the largest eutrophic fresh water lake in China, was taken as study area.
The water body of Taihu Lake was divided into five regions viz. Wuli bay (WB), Meilian Bay (MB), West Taihu Lake (WTL), Main
Body of Taihu Lake (MBTL) and East Taihu Lake (ETL). Concentrations of chlorophyll-a and the related environmental variables
were determined in each region in the period 2000–2003. Factor analysis and multivariate analysis were applied to evaluate
the interactions between phytoplankton variation and environmental variables. Results showed that the highest average concentrations
of TN, TP and Chl-a were observed in WB, followed in a descending order by MB and WTL, and the lowest concentrations of TN,
TP and Chl-a were observed in MBTL and ETL. Chl-a and TP concentrations in most regions (except ETL) declined during the study
period. It suggested that to some extent the lake was recovering from eutrophication. However, persistent ascending of TN
and NH4–N in all five regions indicated the deteriorating of water quality in the study period. Results of multivariate showed that
the relationships between phytoplankton biomass and environmental variables varied among regions. TP illustrated itself a
controlling role on phytoplankton in WB, MB, WTL and MBTL according to the significant positive relations to phytoplankton
biomass in these regions. Nitrogen could be identified as a limiting factor to phytoplankton biomass in ETL in view of the
positive correlations between TN and phytoplankton and between NH4–N and phytoplankton. Spatial variation of interactions between phytoplankton and environmental parameters suggested proper
eutrophication control measures were needed to restore ecological system in each region of Taihu Lake. |
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Keywords: | Phytoplankton biomass Annual variations Multivariate analysis Taihu Lake |
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