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新安江(安徽段)及其支流丰水期浮游植物功能群

胡长玉,方建新,李伟,王亚坤,彭婷,王丽,钱丽萍*   

  1. (黄山学院生命与环境科学学院, 安徽黄山 245041)
  • 出版日期:2019-04-10 发布日期:2019-04-10

Phytoplankton functional groups of Xin’anjiang River Basin (Anhui section) and its tributaries in flood season.

HU Chang-yu, FANG Jian-xin, LI Wei, WANG Ya-kun, PENG Ting, WANG Li, QIAN Li-ping*   

  1. (College of Life and Environmental Sciences, Huangshan University, Huangshan 245041, Anhui, China).
  • Online:2019-04-10 Published:2019-04-10

摘要: 于2016年、2017年丰水期对新安江(安徽段)及其支流进行水样采集,在分析浮游植物群落组成的基础上,进行了功能群划分。结果表明:调查断面的浮游植物隶属于6门55属,以硅藻门、蓝藻门和绿藻门为主要优势门类,其中硅藻门中舟形藻属、异极藻属、针杆藻属和小环藻属,绿藻门的新月藻属以及裸藻门的裸藻属具有较高的相对丰度;聚类分析表明,不同采样断面、不同年份间浮游植物群落结构存在一定差异;全部河流断面中,优势藻类共划分为27个功能群,其中MP、D、B、J、P、Tb和W1在所有采样断面均有分布,MP、D、B和Tb功能群不仅分布频率高,而且具有较高的相对丰度;整体上,调查断面水质介于I类与III类之间,个别断面水质低于III类,依据浮游植物优势功能群划分所对应的水质多为低或中等营养状态,与测定的水化学参数具有较好的对应关系;RDA分析表明,优势功能群与水体氨氮、总氮、总磷和CODMn相关;浮游植物功能群能很好地指示新安江及其支流的河流生境特征。从生物学与水环境化学的角度进行水质监测,可为准确掌握新安江流域水质变动以及水生态保护提供基础数据与理论依据。

关键词: 沿海开发, 生态环境效应, 评估指标, 河北省

Abstract:

To understand the characteristics of phytoplankton community structure in Xin’anjiang River Basin (Anhui section) and its tributaries, water samples were collected from 15 stations in both main stream and tributaries in flood season of 2016 and 2017. The functional groups were classified based on the phytoplankton community composition. The results showed that phytoplankton belonged to six phyla and fifty-five genera. Species in Bacillariophyta, Cyanophyta and Chlorophyta were in dominant groups. Higher relative abundance was found in Navicula, Gomphonema, Synedra and Cyclotella in Bacillariophyta, as well as Closterium in Chlorophyta and Euglena in Euglenophyta. There were some differences in phytoplankton community structure between different sampling stations and different years. Across all river stations, the dominant species could be classified into 27 functional groups, among which MP, D, B, J, P, Tb and W1 were distributed in all sampling stations. The MP, D, B and Tb functional groups had both higher frequency of distribution and higher relative abundance. The low or mesotrophic status of nutrients reflected by dominant phytoplankton functional groups had well correspondence with the measured water chemical parameters. Water quality in studied stations fell between type I and type III, with a few stations falling to type III. Results of redundancy analysis (RDA) showed that NH3-N, TN, TP, and CODMn were the key environmental drivers determining the dominant  phytoplankton groups. Our results suggest that phytoplankton functional groups can indicate the habitat characteristics of Xin’anjiang River Basin and its tributaries. Combining phytoplankton functional groups and water chemical parameter measurement can provide sound data and basic theory for water quality monitoring and aquatic ecosystem protection in Xin’anjiang River Basin.
 

Key words: coastal development, ecological environmental effect, evaluation index, Hebei Province.