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太湖不同区域浮游植物群落结构特征及其与环境因子的关系
引用本文:陈洋,胡晓东,张建华,朱敏,吴沛沛,汪赵君.太湖不同区域浮游植物群落结构特征及其与环境因子的关系[J].水生态学杂志,2017,38(3):38-44.
作者姓名:陈洋  胡晓东  张建华  朱敏  吴沛沛  汪赵君
作者单位:江苏省水利科学研究院 南京;河海大学环境学院 南京,江苏省水利科学研究院 南京,江苏省水利厅 南京,江苏省水利厅 南京,江苏省水利科学研究院 南京;河海大学环境学院 南京
基金项目:江苏省基础设施计划项目(BM2014041,BM2014397,BM2016031),江苏省水利科技项目(2013002),中央高校基本科研业务费专项资金资助项目(2016B52714)
摘    要:为研究太湖不同区域浮游植物群落结构特征及其与环境因子之间的关系,对水质状况进行调查,于2013年10月至2015年7月对太湖9个湖区的33个采样点进行了季节性浮游植物群落调查和水质监测,共鉴定出浮游植物121种,分别属于7门、74属,其中绿藻门(Chlorophyta)的种类最多,共28属、59种。春季和夏季浮游植物总密度最高值分别出现在2014年竺山湖0.59×10~8个/L和西部沿岸区5.90×10~8个/L,秋季和冬季浮游植物总密度最高值分别出现在2015年的西部沿岸区1.09×10~8个/L和湖心区3.28×10~8个/L。综合分析2年的浮游植物总密度监测数据,西部沿岸区梅梁湖竺山湖五里湖湖心区贡湖南部沿岸区东太湖东部沿岸区。研究表明,太湖9个区域污染情况不尽相同,主要超标指标为总氮。SPSS 22.0相关性分析表明,水温、DO、硝态氮、BOD5是影响太湖浮游植物群落结构的主要环境因子。2015年秋冬季浮游植物总密度较2014年有所增长,春季各湖区之间浮游植物密度的年际差异与其余季节不同,可能是由于水温变化所致。

关 键 词:太湖  浮游植物  结构特征  环境因子  聚类分析
收稿时间:2016/8/31 0:00:00
修稿时间:2017/5/31 0:00:00

Phytoplankton Community Structure and Its Relationship with Environmental Factors in Different Regions of Taihu Lake
CHEN Yang,HU Xiao-dong,ZHANG Jian-hu,ZHU Min,WU Pei-pei and WANG Zhao-jun.Phytoplankton Community Structure and Its Relationship with Environmental Factors in Different Regions of Taihu Lake[J].Journal of Hydroecology,2017,38(3):38-44.
Authors:CHEN Yang  HU Xiao-dong  ZHANG Jian-hu  ZHU Min  WU Pei-pei and WANG Zhao-jun
Affiliation:Jiangsu Hydraulic Research Institute,Jiangsu Hydraulic Research Institute,Jiangsu Water Resources Department,Jiangsu Water Resources Department,Jiangsu Hydraulic Research Institute
Abstract:Taihu Lake is the third largest freshwater lake in China and has become highly eutrophic. In this study, a seasonal field investigation of the phytoplankton community and water quality parameters was carried out at 33 sampling sites in nine areas of Taihu Lake during the period from October 2013 to July 2015. The structure and spatial distribution pattern of the phytoplankton community and its relationship with water quality parameters were analyzed based on the field results. The Shannon-Wiener biodiversity index and Pielou evenness index were used to characterize phytoplankton community structure and Pearson correlation analysis was used to explore the relationship between phytoplankton and water quality parameters. The results will provide data for the evaluation of the aquatic environment and biological resources in Taihu Lake and support the environmental management of Taihu Lake. A total of 121 phytoplankton species from 74 genera and 7 phyla were identified, with dominance by Chlorophyta (59 species, 28 genera). In spring and summer, the highest phytoplankton densities occurred in Zhushan Lake and the western lakeshore area in 2014, with the total density of 5.9×107 cells/L and 5.9×108 cells/L, respectively. In autumn and winter, the highest phytoplankton density occurred in the western lakeshore area and the middle open area of Taihu Lake in 2015, with total densities of 1.09×108 cells/L and 3.28×108cells/L. Integrating the two-years of monitoring data for total phytoplankton density, the order of the nine investigated areas in Taihu Lake was as follows: western lakeshore > Meiliang Lake > Zhushan Lake > Wuli Lake > the middle open area > Gonghu Lake > southern lakeshore > East Taihu > eastern lakeshore. Phytoplankton density in autumn and winter of 2015 increased compared to 2014. The Shannon-Wiener biodiversity index and Pielou evenness index for each surveyed area both indicate that the water quality of the nine regions were all moderately to heavily polluted and the primary pollutant was total nitrogen. Pearson correlation analysis shows that water temperature (WT), dissolved oxygen (DO), nitrate nitrogen (NO3--N) and biochemical oxygen demand (BOD5) were the primary environmental factors affecting the phytoplankton community structure. The inter-annual phytoplankton density in spring was different from that in other seasons, most probably due to changes in water temperature.
Keywords:Taihu Lake  phytoplankton  community structure  environmental factor  cluster analysis  
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