欢迎访问《生态学杂志》官方网站,今天是 分享到:

生态学杂志 ›› 2021, Vol. 40 ›› Issue (9): 2850-2859.doi: 10.13292/j.1000-4890.202109.027

• 研究报告 • 上一篇    下一篇

大庆龙凤湿地浮游植物功能类群季节变化及其驱动因子

李磊,张莹,陈宁,齐青松,陆欣鑫,刘妍*,范亚文*   

  1. (哈尔滨师范大学生命科学与技术学院, 黑龙江省水生生物多样性研究重点实验室,  哈尔滨 150025)
  • 出版日期:2021-09-10 发布日期:2021-09-16

Seasonal variations and driving factors of phytoplankton functional groups in the Longfeng wetland, Daqing City.

LI Lei, ZHANG Ying, CHEN Ning, QI Qing-song, LU Xin-xin, LIU Yan*, FAN Ya-wen*   

  1. (Key Laboratory of Biodiversity of Aquatic Organisms, College of Life Science and Technology, Harbin Normal University, Harbin 150025, China).
  • Online:2021-09-10 Published:2021-09-16

摘要: 为了解大庆龙凤湿地浮游植物功能类群及其时空分布特征,于2019年春、夏、秋三季对大庆龙凤湿地浮游植物进行采样分析。2019年春、夏、秋三季大庆龙凤湿地共鉴定出浮游植物200个分类单位,隶属于7门10纲18目35科75属。其中以绿藻门(41.5%)、硅藻门(30%)为主,其次为蓝藻门(12.5%)和裸藻门(12%),隐藻门、甲藻门、金藻门所占比例较低(4%)。大庆龙凤湿地浮游植物组成呈现出明显的季节变化规律,浮游植物丰度为夏季<春季<秋季;湿地浮游植物共划分为22个功能群,其中15个为代表性功能类群。双因素方差分析表明,代表性功能类群在季节间演替明显(P<0.05),群落构成差异显著(P<0.05)。SIMPER分析表明,5个代表性功能群是引起龙凤湿地各季节浮游植物群落结构差异的主要贡献类群。通过功能类群和9个水环境变量的冗余分析探索环境变量与功能类群季节变化的关系,结果表明,电导率和水温是驱动龙凤湿地浮游植物功能类群季节变化的主要环境因子。

关键词: 浮游植物, 功能群, 时空分布, 驱动因子

Abstract: To understand the temporal and spatial distribution of phytoplankton functional groups in Daqing Longfeng wetland, we collected the samples in the spring, summer, and autumn of 2019. A total of 200 taxa of phytoplankton were identified, belonging to 7 phyla, 10 classes, 18 orders, 35 families, and 75 genera. Among them, Chlorophyta (41.5%) and Bacillariophyta (30%) were the dominant groups, followed by Cyanophyta (12.5%) and Euglena (12%), while the abundance of Cryptophyta, Dinophyta, and Chrysophyta were relatively low (together accounting for 4%). The composition of phytoplankton in the Longfeng wetland changed obviously among different seasons, with the abundance of phytoplankton following a seasonal trend of summer < spring < autumn. The phytoplankton community could be divided into 22 functional groups, with 15 of which being representative functional groups. The representative functional groups had obvious succession among seasons (P<0.05), and the community structure had significant differences (P<0.05). Results of SIMPER analysis showed that five of the 15 representative functional groups were the main contributors to the variations of the phytoplankton community structure in the Longfeng wetland among three seasons. Redundancy analysis (RDA) of functional groups and nine water variables was performed to explore the relationship between environmental variables and the seasonal variations of functional groups. RDA results showed that electrical conductivity and water temperature were the main factors driving the seasonal variations of phytoplankton functional groups in the Longfeng wetland.

Key words: phytoplankton, functional group, temporal and spatial distribution, driving factor.