摘要
浮游植物是水生态系统中最重要的组成部分,因其对水环境变化敏感而常被用于指示水环境状态,但其对环境的响应受分类方法的影响.为了解洞庭湖浮游植物种群(门、属)和功能群(FG)两种分类法对环境的驱动响应特征和适用性,于2019年3~12月分水期对该湖共进行了4次采样,比较分析了浮游植物种群和功能群的分布特征及其与环境因子的响应关系,并对比了TLI指数、Shannon-Wiener指数、Q指数等评价方法在洞庭湖的适用性.结果表明,洞庭湖共检出浮游植物6门61属,可划分为23个功能群和9个优势功能群,功能群演替趋势为P/MP/D(3月)→MP/P/J(6月)→MP/HI(9月)→Y/P/MP(12月).层次分割结果表明,洞庭湖浮游植物的种群分布与变化受环境因子的驱动大于空间驱动;影响浮游植物种群和功能群的主要环境因子为水温(WT)、高锰酸盐指数、溶解氧(DO)、电导率(Cond)、水位(WL)和总磷(TP),环境因子对两者的独立解释性排序相差不大.RDA分析表明,浮游植物功能群对环境因子的响应要优于浮游植物种群.综合对比分析发现,利用Q指数进行水质评价在洞庭湖水体有较好的适用性.
Phytoplankton is the most important component of water ecosystems,which could indicate the state of the water environment owing to its sensitivity to water environment variation.However,its response to the environment is influenced by classification methods.To understand the phytoplankton population(phyla and genera)and functional groups(FG)for driving response characteristics and applicability to the environment in Dongting Lake,a total of four samples were collected from the lake from March to December 2019,and the distribution characteristics of the phytoplankton population and functional groups and their responses to environmental factors were compared and analyzed.Meanwhile,the applicability of the TLI index,Shannon-Wiener index,and Q index was compared in Dongting Lake.The results showed that a total of 61 genera belonging to six phyla of phytoplankton were detected in Dongting Lake,which could be divided into 23 functional groups and nine dominant functional groups.The succession trend of functional groups was■(December).The results of hierarchical segmentation showed that the population distribution and change in phytoplankton were driven by environmental factors more than the area in Dongting Lake.The main environmental factors affecting phytoplankton population and functional groups were water temperature(WT),permanganate index,dissolved oxygen(DO),conductivity(Cond),water level(WL),and total phosphorus(TP).RDA analysis showed that phytoplankton functional groups identified phytoplankton response to environmental factors better than phytoplankton population.It was shown that using the Q index to evaluate water quality had better applicability in Dongting Lake.
作者
严广寒
殷雪妍
汪星
黄民生
黄代中
王恩瑞
张韵宇
YAN Guang-han;YIN Xue-yan;WANG Xing;HUANG Min-sheng;HUANG Dai-zhong;WANG En-rui;ZHANG Yun-yu(National Engineering Laboratory for Lake Pollution Control and Ecological Restoration,Chinese Research Academy of Environmental Sciences,Bejing 100012,China;State Environmental Protection Key Laboratory of Drinking Water Source Protection,Chinese Research Academy of Environmental Sciences,Bejing 100012,China;State Environmental Protection Scientific Observation and Research Station for Lake Dongting,Chinese Research Academy of Environmental Sciences,Yueyang 414000,China;School of Ecological and Environmental Sciences,East China Normal University,Shanghai 20024 China;Ecological and Environmental Monitoring Center of Dongting Lake of Hunan,Yueyang 414000,China)
出处
《环境科学》
EI
CAS
CSCD
北大核心
2023年第11期6125-6136,共12页
Environmental Science
基金
国家重点研发计划项目(2022YFC3203605-03)
中央级公益性科研院所基本科研业务专项(2020-JY-009)
洞庭湖江湖生态监测重点站项目(2022年)。
关键词
洞庭湖
浮游植物种群
功能群
环境因子
Q指数
Dongting Lake
phytoplankton population
functional groups
environmental factors
Q index
