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利用流式影像术(FlowCAM)分析淡水浮游藻类群落特征 ——以北京城区主要河流为例
引用本文:王珊珊,万峻,马丁,董晓伟.利用流式影像术(FlowCAM)分析淡水浮游藻类群落特征 ——以北京城区主要河流为例[J].中国环境监测,2022,38(1):189-199.
作者姓名:王珊珊  万峻  马丁  董晓伟
作者单位:北京欧仕科技有限公司, 北京 100083
摘    要:浮游藻类是水生态系统的重要初级生产者,对其进行分类鉴定和定量分析是开展生态研究的基础.选取北京城区主要河流为研究对象,于2020年6—7月(夏季)、10月(秋季)对北运河水系22个站位的表层水进行采样调查,探究利用流式影像术(FlowCAM)分析浮游藻类群落结构的可行性.结果表明,浮游藻类的细胞丰度和粒径组成均存在着明...

关 键 词:流式影像术(FlowCAM)  浮游藻类  粒径组成  群落特征
收稿时间:2021/8/19 0:00:00
修稿时间:2021/10/25 0:00:00

Analysis of Freshwater Phytoplankton Community by Flow Cytometer and Microscope (FlowCAM):A Case Study of Major Rivers in Beijing
WANG Shanshan,WAN Jun,MA Ding,DONG Xiaowei.Analysis of Freshwater Phytoplankton Community by Flow Cytometer and Microscope (FlowCAM):A Case Study of Major Rivers in Beijing[J].Environmental Monitoring in China,2022,38(1):189-199.
Authors:WANG Shanshan  WAN Jun  MA Ding  DONG Xiaowei
Institution:Beijing Osees Technology Co., Ltd., Beijing 100083, China
Abstract:Phytoplankton is an important primary producer of aquatic ecosystem.Its classification and quantitative analysis are the basic work of ecological research.Taking the major rivers in Beijing as the research object,the surface water of 22 stations in the North Canal system was sampled and investigated from June to July (summer) and October (autumn) in 2020,to explore the feasibility of using flow cytometry and microscope (FlowCAM) to analyze the phytoplankton community structure.The results showed that there were obvious spatial and temporal differences in the cell abundance and particle size composition of phytoplankton.In most stations,the number of dominant genera in summer was significantly higher than that in autumn,and the species composition of dominant genera changed from diatoms to cyanobacteria or cyanobacteria-green algae with the change of seasons.FlowCAM can quickly complete the counting,particle size classification and identification of microphytoplankton,which has great application space in water ecological monitoring.However,FlowCAM still has some defects at present,such as low resolution and incomplete automatic classification of nanophytoplankton.
Keywords:flow cytometry and microscope(FlowCAM)  phytoplankton  size composition  community characteristics
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