生物学杂志

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升金湖浮游植物群落动态及其影响因子研究

  

  1. 1. 安徽大学 资源与环境工程学院生物多样性与湿地生态研究所, 合肥 230601;
     2. 煤炭工业合肥设计研究院, 合肥 230041
  • 出版日期:2016-10-18 发布日期:2016-10-18
  • 通讯作者: 周忠泽,教授,博士生导师,研究方向为恢复生态学与保护生态学,E-mail: zhzz@ahu.edu.cn
  • 作者简介:吴芳仪,硕士研究生,研究方向为生态学,E-mail: 554627968@qq.com
  • 基金资助:
    中国高等教育博士点基金(20123401110005);中国国家科学基金会(41072251)

Commuinity dynamics of phytoplankton and related affecting factors in Shengjin Lake

  1. 1. School of Resources and Environmental Engineering, Anhui University, Hefei 230601;
    2. Hefei Design Research Institute for Coal Industry, Hefei 230041, China
  • Online:2016-10-18 Published:2016-10-18

摘要: 于2014年 2月、4月、7月和11月对升金湖浮游植物进行采样调查,分析了浮游植物群落结构的时空分布及其对主要环境因子的关系。共鉴定出浮游植物210种,隶属于8门91属,其中绿藻门最多,有36属89种(41.20%),硅藻门次之,有26属62种(28.70%)。年平均生物量最高值出现在夏季(21.17±3.62)mg/L,最低值出现在冬季为(0.42±0.11)mg/L;浮游植物的平均细胞密度夏季最高为(4.57±0.29)×108cells/L,冬季最低为(3.66±4.03)×105 cells/L,升金湖浮游植物的季节演替规律与PEG模型基本相似。群落结构分析表明,典型通江湖泊升金湖的硅藻门是仅次于绿藻门的第二大优势类群。Shannon-Wiener指数(H′)的范围为2.56~8.05,平均值为5.21。运用冗余分析(RDA),结果显示浮游植物优势功能群生物量与温度(T)、pH值和透明度(SD)有较强的响应关系。

关键词: 升金湖, 浮游植物, 环境因子, 冗余分析(RDA)

Abstract: Seasonal and spatial variations of phytoplankton communities and its relationships with the main environmental factors in Shengjin Lake in February, April, July and November of 2014 were investigated. The results showed that in total of 210 species of phytoplankton were identified, which belonged to 91 genera of 8 phyla.Chlorophyta were most abundant,with 36 species of 89 genera(41.20%),and Bacillariophyta were the second,with 62 species of 26 genera(28.70%).The highest biomass recorded in summer(21.17±3.62 mg/L on average) and lowest recorded in winter(0.42±0.11 mg/L on average), the highest density was(4.57±0.29)×108cells/L in summer and lowest was(3.66±4.03)×105cells/L in winter. The seasonal succession of phytoplankton was consistent with PEG model in Shengjin Lake.Community structure analysis showed that Bacillariophyta was the second dominant population after Chlrophyta.The Shannon-Wiener index indicated phytoplankton diversity of 2.56-8.05(average 5.21). Redundancy analysis(RDA)revealed that the biomass of dominant functional was positively correlated with T,pH and SD.

Key words: Shengjin Lake;phytoplankton, environment factors, redundancy analysiss (RDA)