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Multivariate Analysis of Interactions Between Phytoplankton Biomass and Environmental Variables in Taihu Lake, China

机译:太湖浮游植物生物量与环境变量相互作用的多元分析

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摘要

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,rnTP 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 eutrophica-tion. 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.
机译:大型浅水富营养化湖泊中的浮游植物变化特征是时空异质性高。了解浮游植物变化的模式及其与环境变量之间的关系可以有助于富营养化湖泊的管理。本研究以中国最大的富营养化淡水湖之一-太湖为研究区域。太湖水体分为五个区域。五里湾(WB),梅莲湾(MB),西太湖(WTL),太湖主体(MBTL)和东太湖(ETL)。在2000-2003年的每个区域确定了叶绿素a的浓度和相关的环境变量。应用因子分析和多元分析来评估浮游植物变化与环境变量之间的相互作用。结果表明,WB中TN,TP和Chl-a的平均浓度最高,MB和WTL依次降序,而MBTL和ETL中TN,rnTP和Chl-a的最低浓度。在研究期间,大多数地区(ETL除外)的Chl-a和TP浓度均下降。这表明湖泊在一定程度上正在从富营养化中恢复。但是,在所有五个区域中TN和NH4-N持续上升表明研究期间水质恶化。多元结果表明,浮游植物生物量与环境变量之间的关系随区域而异。根据这些区域中与浮游生物量的显着正相关,TP在WB,MB,WTL和MBTL中说明了自身对浮游生物的控制作用。鉴于TN和浮游植物之间以及NH4-N和浮游植物之间存在正相关关系,因此可以将氮确定为ETL中浮游植物生物量的限制因素。浮游植物与环境参数之间相互作用的空间变化表明,需要采取适当的富营养化控制措施来恢复太湖各区域的生态系统。

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