人工湖早期浮游藻类群落特征及其影响因子研究

顾晓丽; 乔启成; 余永昌; 李欣; 龙锡恩; 闫生荣

引用本文:	顾晓丽,乔启成,余永昌,李欣,龙锡恩,闫生荣.人工湖早期浮游藻类群落特征及其影响因子研究[J].环境监控与预警,2024,16(5):115-123
	GU Xiaoli,QIAO Qicheng,YU Yongchang,LI Xin,LONG Xi'en,YAN Shengrong.Study on Characteristics of Phytoplankton Community and its Influencing Factors in the Early Stage of an Artificial Lake[J].Environmental Monitoring and Forewarning,2024,16(5):115-123

【打印本页】【HTML】【下载PDF全文】【查看/发表评论】【EndNote】【RefMan】【BibTex】

←前一篇|后一篇→

过刊浏览高级检索

本文已被：浏览 896次下载 215次	码上扫一扫！
分享到：微信更多字体:加大+\|默认\|缩小-
人工湖早期浮游藻类群落特征及其影响因子研究
顾晓丽^1,3，乔启成^2,3*，余永昌²，李欣⁴，龙锡恩^3,4，闫生荣²
1.南通市生态环境监控中心，江苏南通 226014；2.南通科技职业学院环境与生物工程学院，江苏南通 226007；3.江苏省农村农业污染防治技术与设备工程研究中心，江苏南通 226007；4.南通大学地理科学学院，江苏南通 226019

摘要:

为探明人工湖早期浮游藻类及其水体富营养化的潜在风险，于2022年10月30日在紫琅湖湖区设置13个采样点，采用典范对应分析法（CCA）解析了浮游藻类群落特征及其驱动因子。研究结果表明，共鉴定出浮游藻类8门33科58属，共73种。其中硅藻门和绿藻门种数最多，分别为25和26种。以细胞密度论，蓝藻门，隐藻门和绿藻门占优势，其细胞密度分别为7.7×10⁵～6.7×10⁶， 1.7×10⁵~3.7×10⁶， 0.5×10⁵~3.2×10⁶cells/L；而以生物量论，隐藻门和硅藻门占优势，其生物量分别为0.92~5.52，0.42~1.39 mg/L。以蓝藻门的平裂藻（Merismopedia sp.）和细鞘丝藻（Leptolyngbya sp.），硅藻门的直链藻（Melosira sp.），绿藻门的空星藻（Coelastrum sp.），隐藻门的尖尾蓝隐藻（Chroomonas acuta）和隐藻（Cryptomonas sp.）为优势种。不同采样点之间群落组成，细胞密度和生物量存在显著差异。典范对应分析结果表明，浊度（NTU）、总有机碳（TOC）、溶解氧（DO）和pH值是影响浮游藻类分布特征的显著环境因子。

关键词: 人工湖浮游藻类群落特征环境因子典范对应分析

DOI：DOI：10.3969/j.issn.1674-6732.2024.05.019

分类号:Q145；X835

基金项目:南通市科技计划项目（MS22022120，MSZ2022176）

Study on Characteristics of Phytoplankton Community and its Influencing Factors in the Early Stage of an Artificial Lake

GU Xiaoli^1,3， QIAO Qicheng^2,3*， YU Yongchang²， LI Xin⁴， LONG Xi'en^3,4， YAN Shengrong²

1.Nantong Ecological and Environmental Monitoring Center， Nantong，Jiangsu 226014， China； 2.School of Environment and Biological Engineering， Nantong College of Science and Technology， Nantong，Jiangsu 226007， China；3.Jiangsu Province Engineering Research Center of Agricultural and Rural Pollution Prevention Technology and Equipment， Nantong，Jiangsu 226007，China； 4.School of Geographic Sciences， Nantong University， Nantong，Jiangsu 226019，China

Abstract:

To investigate the early phytoplankton and the potential risks of eutrophication in an artificial lake， 13 sampling points were set up in the lake area on October 30， 2022. The phytoplankton community characteristics and their driving factors were analyzed using canonical correspondence analysis. The results showed that a total of 73 species of phytoplankton were identified， belonging to 8 phyla， 33 families， and 58 genera. The diatom and green algae phyla had the most species， with 25 and 26 species respectively. In terms of cell density， the cyanobacteria， cryptophyta， and green algae were dominant （ranging from 7.7×10 ⁵～6.7×10 ⁶ cells/L， 1.7×10 ⁵~3.7×10 ⁶ cells/L， 0.5×10 ⁵~3.2×10 ⁶ cells/L， respectively）， while in terms of biomass， the cryptophyta and diatom phyla were dominant （ranging from 0.92 to 5.52 mg/L and 0.42 to 1.39 mg/L， respectively）. The dominant species were Merismopedia sp. and Leptolyngbya sp. from cyanobacteria， Melosira sp. from diatoms， Coelastrum sp. from green algae， and Chroomonas acuta and Cryptomonas sp. from cryptophyta. There were significant differences in community composition， cell density， and biomass among different sampling points. Canonical correspondence analysis indicated that turbidity （NTU）， total organic carbon （TOC）， dissolved oxygen （DO）， and pH were significant environmental factors affecting the distribution characteristics of phytoplankton.

Key words: Artificial lake Phytoplankton Community characteristic Environmental factor Canonical correspondence analysis