生物学杂志 ›› 2023, Vol. 40 ›› Issue (1): 79-.doi: 10.3969/j.issn.2095-1736.2023.01.079

• 研究报告 • 上一篇    下一篇

巢湖湖区浮游植物群落与水质因子相关性分析

吴转璋, 朱 超, 唐 萍, 杨晓冉, 王 欢, 张付海   

  1. 安徽省生态环境监测中心, 合肥 230071
  • 出版日期:2023-02-18 发布日期:2023-02-21
  • 通讯作者: 张付海,高级工程师,从事环境监测和环境管理方面的研究,E-mail:754485827@qq.com
  • 作者简介:吴转璋,工程师,从事环境监测和评价方面的研究,E-mail:642312934@qq.com
  • 基金资助:
    原环境保护部“巢湖水华过程中微囊藻毒素与典型浮游植物的动态变化及其相互关系的研究”(20161001)

Correlation analysis of phytoplankton community and water quality factors in Chaohu Lake

WU Zhuanzhang, ZHU Chao, TANG Ping, YANG Xiaoran, WANG Huan, ZHANG Fuhai   

  1. Anhui Provine Eco-Environmental Monitoring Center, Hefei 230071, China
  • Online:2023-02-18 Published:2023-02-21

摘要: 基于巢湖湖区8个国控监测点位2019年10月和2020年5月、10月水质监测数据及浮游植物调查数据,对巢湖湖区浮游植物群落结构进行多样性指标分析,并对浮游植物和环境因子进行Pearson相关性分析和冗余分析(RDA)。结果表明:共鉴定出浮游植物41属61种,其中,绿藻门种类最多,其次为蓝藻门和硅藻门;巢湖湖区Shannon-Wiener多样性指数、Pielou均匀度指数和Margalef丰富度指数变化趋势一致,随着时间推移,逐步变大,表明水体浮游植物群落结构越来越稳定,水体从中污染逐步过渡到轻污染。浮游植物群落结构和综合营养状态指数评价巢湖水体呈轻度富营养化状态;Pearson相关性分析和冗余分析结果显示,pH值、总氮、透明度和溶解氧是影响巢湖湖区浮游植物群落结构的主要影响因素。研究结果可为巢湖环境治理提供参考。

关键词: 浮游植物, 群落结构, 多样性指标, Pearson相关性分析, 冗余分析

Abstract: Based on the water quality monitoring data and phytoplankton survey data of 8 state-controlled monitoring points in Chaohu Lake in October 2019,May and October 2020, the diversity index of phytoplankton community structure in Chaohu Lake was analyzed, and the Pearson correlation analysis and redundancy analysis (RDA) of phytoplankton and environmental factors were carried out. The results showed that 41 genera and 61 species of phytoplankton were identified, among which the species of Chlorophyta were the most, followed by Cyanophyta and Bacillariophyta. Shannon-Wiener diversity index, Pielou evenness index and Margalef richness index in Chaohu Lake had the same change trend and gradually increased with time, indicating that the phytoplankton community structure in the water body was becoming more and more stable, and the water body gradually transited from medium pollution to light pollution. From the phytoplankton community structure and comprehensive trophic state index, the water body of Chaohu Lake was slightly eutrophic. Pearson correlation analysis and redundancy analysis showed that pH value, total nitrogen, transparency and dissolved oxygen were the main factors affecting the phytoplankton community structure in Chaohu Lake. These results could provide a reference for the environmental management of Chaohu Lake.

Key words: phytoplankton, community structure, diversity indicators, Pearson correlation analysis, redundancy analysis

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