生态与农村环境学报 ›› 2014, Vol. 30 ›› Issue (4): 450-457.doi:

• 自然保护与生态 • 上一篇    下一篇

夏秋季苏州河浮游植物群落特征及其影响因子

俞秋佳,徐凤洁,蒋跃,王昊彬,余华光,由文辉   

  1. 华东师范大学资源与环境科学学院
  • 收稿日期:2013-12-19 修回日期:2014-04-12 出版日期:2014-07-25 发布日期:2014-10-11
  • 通讯作者: 由文辉 华东师范大学资源与环境科学学院 E-mail:youwenhui1964@126.com
  • 作者简介:俞秋佳(1988—),女,上海市人,硕士生,主要从事水域生态学研究。E-mail:yuqiujia1988@126.com
  • 基金资助:

    上海市生态环境调查与评估(ZX31942)

Characteristics of Phytoplankton Community in Suzhou River in Summer and Autumn and Their Affecting Factors

YU  Qiu-Jia, XU  Feng-Jie, JIANG  Yue, WANG  Hao-Bin, YU  Hua-Guang, YOU  Wen-Hui   

  1. College of Resources and Environmental Science,East China Normal University
  • Received:2013-12-19 Revised:2014-04-12 Online:2014-07-25 Published:2014-10-11
  • Contact: YOU Wen-Hui College of Resources and Environmental Science,East China Normal University E-mail:youwenhui1964@126.com

摘要: 为探究苏州河综合整治工程结束4a后夏秋季浮游植物群落特征及演变规律,了解苏州河不同河段浮游植物群落及水体污染现状,在苏州河共设置5个样点,于2012年6月至11月共进行6次采样调查。调查期间共鉴定浮游植物8门95属259种,整体浮游植物群落结构以绿藻门和硅藻门为主,主要优势种为广缘小环藻(Cyclotella bodanica)、啮蚀隐藻(Cryptomons erosa)和四尾栅藻(Scenedesmus quadricanda),均为水体有机污染指示种。浮游植物密度在0.46×104~1.91×104L-1之间,最高点出现在6月的武宁路桥,最低点出现在8月的赵屯。苏州河浮游植物群落的Shannon-Wiener多样性指数和Pielou均匀度指数分别为3.22±0.38和0.75±0.09。从优势种种类、多样性指数和环境因子等方面来看,苏州河总体水质呈中度污染。与2005年同期相比,苏州河优势种类发生明显转变,从重度污染指示种转变为中度污染指示种。苏州河水质时空特点表现为夏秋季调查期间,苏州河干流河道无黑臭现象,下游水质明显劣于上游水质,下游水体总氮质量浓度达4.61 mg·L-1,总磷质量浓度达0.44mg·L-1,氮磷比达16.48。浮游植物Shannon-Wiener多样性指数与各环境因子数据的相关性分析表明:温度和氮磷比是影响整个苏州河多样性指数的主要环境因子,下游浮游植物多样性指数分别与总氮浓度和氮磷比之间相关显著。对获得的浮游植物优势种密度与环境因子数据进行冗余分析(RDA)的结果表明,除温度以外,氮磷比是影响苏州河浮游植物密度的主要环境因子。

关键词: 苏州河, 浮游植物群落结构, 环境因子, RDA分析

Abstract: In order to explore characteristics and evolution laws of the phytoplankton community in Suzhou River in the summers and autumns of the four years after implementation of the Suzhou River Rehabilitation Project, and status quos of the phytoplankton communities and water pollutions in various sections of the river, a survey was conducted, collecting samples six times from the five sampling sites set along the Suzhou River during the period from Jun. Nov. of 2012. A total of 259 species of phytoplankton belonging to 95 genera of 8 phyla were identified and recorded during the survey. On the whole the phytoplankton community was composed mostly of Chlorophyta and Bacillariophyta, with Cyclotella bodanica, Cryptomons erosa and Scenedesmus quadricanda being the predominant species and the indicator species of organic pollution of waterbodies. Density of the phytoplankton community varied in the range from 0.46×104 to 1.91×104 L-1, with the highest observed under the Wuning Road Bridge in June and the lowest at Zhaotun in August. The Shannon-Wiener index and Pielou index of the phytoplankton community in the Suzhou River was 3.22±0.38 and 0.75±0.09,respectively. In light of the three parameters, the water of Suzhou River was moderately polluted. Compared with the corresponding period of 2005, apparent changes had taken place in dominancy of species in Suzhou River, with severe pollution indicator species (Chlorella vulgaris and Oscillatoria tenuis) replaced by moderate pollution indicator species (Cyclotella bodanica, Cryptomons erosa and Scenedesmus quadricanda). The river was no longer pitch black and odorous, but the water in the lower reaches was still obviously worse in quality than that in the upper reaches. The concentration of TN, TP and N/P ratio in the downstreams reached 4.61 mg•L-1, 0.44 mg•L-1 and 16.48, respectively, during the survey. Correlation analysis of the Shannon-Wiener index with various environmental factors shows that temperature and N/P ratio were the main factors affecting diversity index of the phytoplankton community of the whole river, and the correlations of diversity index with TN and N/P ratio were rather significant in the downstreams. Redundancy analysis (RDA) of the density of the dominant species of phytoplankton with environmental factors shows that besides temperature, N: P ratio was the most important factor influencing density of the phytoplankton community in Suzhou River.

Key words: Suzhou River, community structure of phytoplankton, environmental factor, redundancy analysis

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