| 千岛湖浮游植物群落结构及功能群的划分 |
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| 引用本文： | 张真,胡忠军,史先鹤,任丽萍,盘家永,崔亮,陈来生,何光喜,刘其根.千岛湖浮游植物群落结构及功能群的划分[J].上海海洋大学学报,2019,28(1):37-48. |
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| 作者姓名： | 张真 胡忠军 史先鹤 任丽萍 盘家永 崔亮 陈来生 何光喜 刘其根 |
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| 作者单位： | 上海海洋大学水产科学国家级实验教学示范中心;上海海洋大学农业部鱼类营养与环境生态研究中心;上海海洋大学水产动物遗传育种中心上海市协同创新中心;安徽省衡安学校;杭州千岛湖发展集团有限公司 |
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| 基金项目： | 国家科技支撑项目（2015BAD13B02）；公益性行业（农业）专项（201303056）；上海高校知识服务平台上海海洋大学水产动物遗传育种中心项目（ZF1206） |
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| 摘 要： | 于2015年逐月对千岛湖进行浮游植物采样调查,研究浮游植物群落结构特征及变化趋势和浮游植物功能群的划分,共鉴定出浮游植物8门201种,绿藻门、蓝藻门和硅藻门物种数全年占据优势。2015年平均生物密度为(1 285. 41±448. 43)×10~4个/L,平均生物量为(2. 75±0. 81) mg/L,月份间生物密度和生物量均存在极显著性差异(P 0. 001)。浮游植物功能类群S1和H1在4个季节均具有较高的丰度比例,浮游植物功能类群B在春季和冬季具有比较高的丰度比例,功能类群J在春季、夏季和秋季占比较高,功能类群K在春季和秋季占比较高,TC功能类群在夏季、秋季和冬季占比较高,M、LO、P功能类群在夏季和秋季具有较高的丰度比例,Y功能群和D功能群仅在冬季占比较高。CCA典范对应分析显示了各功能群与水温和营养盐之间的关系。
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| 关 键 词： | 千岛湖 浮游植物 群落结构 时空分布 优势种 功能群 |
| 收稿时间： | 2018/6/6 0:00:00 |
| 修稿时间： | 2018/7/5 0:00:00 |
Community structures and functional groups of phytoplankton in Qiandao Lake |
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| ZHANG Zhen,HU Zhongjun,SHI Xianhe,REN Liping,PAN Jiayong,CUI Liang,CHEN Laisheng,HE Guangxi and LIU Qigen.Community structures and functional groups of phytoplankton in Qiandao Lake[J].Journal of Shanghai Ocean University,2019,28(1):37-48. |
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| Authors: | ZHANG Zhen HU Zhongjun SHI Xianhe REN Liping PAN Jiayong CUI Liang CHEN Laisheng HE Guangxi and LIU Qigen |
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| Institution: | National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, China;Centre for Research on Environmental Ecology and Fish Nutrition(CREEFN) of the Ministry of Agriculture, Shanghai Ocean University, Shanghai 201306, China;Shanghai Collaborative Innovation Center for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai 201306, China,National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, China;Centre for Research on Environmental Ecology and Fish Nutrition(CREEFN) of the Ministry of Agriculture, Shanghai Ocean University, Shanghai 201306, China;Shanghai Collaborative Innovation Center for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai 201306, China,Heng''an School, Hefei 231137, Anhui, China,Hangzhou Qiandao Lake Group Co. Ltd, Hangzhou 311700, Zhejiang, China,Hangzhou Qiandao Lake Group Co. Ltd, Hangzhou 311700, Zhejiang, China,National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, China;Centre for Research on Environmental Ecology and Fish Nutrition(CREEFN) of the Ministry of Agriculture, Shanghai Ocean University, Shanghai 201306, China;Shanghai Collaborative Innovation Center for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai 201306, China,Hangzhou Qiandao Lake Group Co. Ltd, Hangzhou 311700, Zhejiang, China,Hangzhou Qiandao Lake Group Co. Ltd, Hangzhou 311700, Zhejiang, China and National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, China;Centre for Research on Environmental Ecology and Fish Nutrition(CREEFN) of the Ministry of Agriculture, Shanghai Ocean University, Shanghai 201306, China;Shanghai Collaborative Innovation Center for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai 201306, China |
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| Abstract: | In 2015, the phytoplankton sampling was conducted in Qiandao Lake, and the phytoplankton community structure characteristics, the trend of change and the division of phytoplankton functional groups were studied. Two hundred and one species of phytoplankton were identified. The number of species of Cyanobacteria, Cyanobacteria and diatoms was dominant throughout the year. The average biological density in 2015 was (1285.41 ±448.43)×104 cells/L, and the average biomass was (2.75 ±0.81) mg/L. There were significant differences in biological density and biomass between months (P<0.001). Phytoplankton functional groups S1 and H1 had higher abundance ratio in the four seasons. The B phytoplankton functional groups had a higher proportion in spring and winter, and the J phytoplankton functional groups accounted for higher ratios in spring, summer and autumn. K was higher in spring and autumn, and TC was higher in summer, autumn and winter. M, LO and P phytoplankton functional groups have higher abundance ratio in autumn and summer'' and the Y functional group and D functional group are higher in winter only. CCA canonical correspondence analysis revealed the relationship between functional groups and water temperature and nutrients. |
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| Keywords: | Qiandao Lake phytoplankton community structure temporal and spatial distribution dominant species functional group |
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