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引用本文:夏莹霏,胡晓东,徐季雄,李一平,吴苏舒,吴沛沛.太湖浮游植物功能群季节演替特征及水质评价.湖泊科学,2019,31(1):134-146. DOI:10.18307/2019.0113
XIA Yingfei,HU Xiaodong,XU Jixiong,LI Yiping,WU Sushu,WU Peipei.Seasonal succession of phytoplankton functional group and assessment of water quality in Lake Taihu. J. Lake Sci.2019,31(1):134-146. DOI:10.18307/2019.0113
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太湖浮游植物功能群季节演替特征及水质评价
夏莹霏1,2, 胡晓东1, 徐季雄1, 李一平2, 吴苏舒1, 吴沛沛1
1.江苏省水利科学研究院, 南京 210017;2.河海大学环境学院, 南京 210098
摘要:
2013年10月-2015年7月对太湖分季节共进行8次采样,以分析太湖浮游植物功能群组成、时空变化及其理化影响因子.结果显示:调查期间共鉴定出20组功能群,其中主要代表性功能群11组,分别为M、Y、C、J、P、S1、D、H1、T、MP、W1.两年的数据显示太湖浮游植物功能群的季节演替变化明显,其中富营养水体的代表性功能群M、C、Y组在各季节均占优势.RDA分析显示,以M、C功能群为主的夏、秋季功能群分布主要受到透明度的影响;以Y功能群为主的春季功能群分布主要是受到总氮浓度的影响.Pearson相关性分析显示基于功能群计算的Q指数和Shannon-Wiener指数与水温、氨氮浓度存在显著关系,两种评价方法之间也呈显著正相关.对比Q指数、Shannon-Wiener指数以及TLI指数3种水质评价方法,发现Q指数评价方法能更好地反映水体的营养状态.综上所述,功能群能直观反映太湖浮游植物季节演替特征,更能客观指示太湖水质状况.
关键词:  太湖  浮游植物  功能群  Q指数  冗余分析
DOI:10.18307/2019.0113
分类号:
基金项目:江苏省创新能力建设计划项目(BM2016031)、江苏省研究生科研与实践创新计划项目(SJCX17_0136,2017B762X14)和江苏省水利科技项目(2013002)联合资助.
Seasonal succession of phytoplankton functional group and assessment of water quality in Lake Taihu
XIA Yingfei1,2, HU Xiaodong1, XU Jixiong1, LI Yiping2, WU Sushu1, WU Peipei1
1.Jiangsu Hydraulic Research Institute, Nanjing 210017, P. R. China;2.Collge of Environment, Hohai University, Nanjing 210098, P. R. China
Abstract:
From October 2013 to July 2015, composition and seasonal succession of phytoplankton functional groups in Lake Taihu were investigated during different seasons. During the survey, 20 functional groups were identified with the predominant groups in the succession of M, Y, C, J, P, S1, D, H1, T, MP and W1. Functional groups composition in Lake Taihu demonstrated obviously seasonal dynamics, and the M, C and Y functional groups had higher proportion in each season. Redundancy analysis showed that the distribution of functional groups dominated by M and C functional groups in summer and autumn was mainly affected by transparency, and the distribution of functional groups dominated by Y functional groups was mainly affected by total nitrogen concentration. Pearson correlation analysis showed that there was a significant positive relationship between Q index and Shannon-Wiener index with water temperature and ammonia nitrogen, and there was also a significant positive correlation between the two water quality assessment methods. Comparing the Q index, Shannon-Wiener index and the TLI index, we found that the Q index evaluation method can better reflect the nutritional status of the water body. Above all, this study shows that functional groups can directly reflect the seasonal succession characteristics of phytoplankton in Lake Taihu, and can objectively indicate the water quality of Lake Taihu.
Key words:  Lake Taihu  phytoplankton  functional groups  Q index  redundancy analysis
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