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阳澄湖浮游植物群落结构特征及其与水环境因子的关系
引用本文:丁娜,周彦锋,宋江腾,蒋书伦,葛优,金贝,尤洋.阳澄湖浮游植物群落结构特征及其与水环境因子的关系[J].上海海洋大学学报,2015,24(5):702-711.
作者姓名:丁娜  周彦锋  宋江腾  蒋书伦  葛优  金贝  尤洋
作者单位:南京农业大学无锡渔业学院,中国水产科学研究院淡水渔业研究中心,南京农业大学无锡渔业学院,南京农业大学无锡渔业学院,南京农业大学无锡渔业学院,南京农业大学无锡渔业学院,中国水产科学研究院淡水渔业研究中心
基金项目:公益性行业(农业)科研专项“长江下游湖泊养殖容量及生态增养殖技术研究与示范”(201303056-02)。
摘    要:2014年7-11月对阳澄西湖浮游植物群落结构及其时空分布进行了调查,运用Pearson相关性分析、冗余分析(RDA)与水环境因子的相关性进行了分析。调查期间共发现浮游植物8门68属142种,其中绿藻门63种,占44.37%,硅藻门27种,蓝藻门22种。优势种中绿藻门种数最多,其中61.11%的优势种为富营养型水体指示藻类。细胞密度年均(3.99±4.00)×106cell/L,生物量年均(1.41±1.05)mg/L,夏季均高于秋季;夏秋季藻类密度以蓝藻门最高,生物量则以硅藻门最高。多样性指数结果表明,阳澄西湖水质总体显示为中污染,其中秋季水质状况优于夏季。Pearson相关性分析表明,阳澄西湖夏季浮游植物现存量主要与pH、水温、NO-2-N呈正相关,秋季则主要与NO-2-N、CODMn、DTN和DTP有关。RDA分析显示,夏季浮游植物水平分布的主要影响因子是T、TN和DTP,而pH、T、DO和DTN为秋季藻类分布的主要影响因子。

关 键 词:浮游植物  群落结构  环境因子  冗余分析  季节变化
收稿时间:2015/1/14 0:00:00
修稿时间:2015/6/10 0:00:00

Community characteristics of phytoplankton in Yangcheng Lake and relationships with water environmental factors
DING N,ZHOU Yanfeng,SONG Jiangteng,JIANG Shulun,GE You,JIN Bei and YOU Yang.Community characteristics of phytoplankton in Yangcheng Lake and relationships with water environmental factors[J].Journal of Shanghai Ocean University,2015,24(5):702-711.
Authors:DING N  ZHOU Yanfeng  SONG Jiangteng  JIANG Shulun  GE You  JIN Bei and YOU Yang
Institution:Wuxi Fisheries College,Nanjing Agriculture University, Wuxi Jiangsu,Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences,Fishery College,Nanjing Agriculture University,Wuxi Jiangsu,Wuxi Fisheries College,Nanjing Agriculture University, Wuxi Jiangsu,Wuxi Fisheries College,Nanjing Agriculture University, Wuxi Jiangsu,Wuxi Fisheries College,Nanjing Agriculture University, Wuxi Jiangsu,Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences
Abstract:An investigation was conducted in Yangcheng Lake from July to November, 2014, Pearson correlation analysis and redundancy analysis (RDA) were applied to analyze the relationship between the phytoplankton community structure and water parameters. 142 species 68 genera and 8 phyla were identified, including Chlorophyta (63 species, accounting for 44.37%), Bacillariophyta ( 27 species), Cyanophyta (22 species). The number of Chlorophyta was the highest in dominant species, while Cyanophyta was with the highest density. 61.11% of the dominant species were indicating algae of rich nutritional water. Abundance and biomass of phytoplankton during summer (averaging (3.99±4.00)×106 cell/L and (1.41±1.05) mg/L, respecti- vely) were considerably higher than that during autumn. Besides, algal density was mainly composited of Cyanophyta, while biomass mainly composited of diatoms. The results showed that the water quality in Yangcheng Lake was moderately-polluted and the water during autumn was better than summer. The results of Pearson correlation analysis showed that the primary factors affecting the structure of phytoplankton community were identified to be pH, Tem and NO2--N content during summer, Contents of NO2--N, CODMn, DTN and DTP were the main factors affecting the structure of phytoplankton community during autumn. RDA results indicated that the key environmental factors influencing the phytoplankton assemblages were Tem, TN and DTP, whereas pH, Tem, DO and DTN were the key factors during autumn.
Keywords:phytoplankton  community structure  numerical simulation  redundancy analysis  seasonal changes
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