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作 者:张家路 夏昇 顾静 王少坤 陈立婧[1,2,3] Zhang Jialu;Xia Sheng;Gu Jing;Wang Shaokun;Chen Lijing(National Demonstration Center for Experimental Fisheries Science Education,Shanghai Ocean University,Shanghai,201306;Key Laboratory of Freshwater Aquatic Genetic Resources and Utilization,Ministry of Agriculture,Shanghai Ocean University,Shanghai,201306;Shanghai Collaborative Innovation Center for Aquatic Animal Genetics and Breeding,Shanghai Ocean University,Shanghai 201306;Qingeaosha Reservoir Management Branch,Shanghai Smi Raw Water Co.Ltd.,Shanghai Ocean University,Shanghai,201913)
机构地区:[1]上海海洋大学水产科学国家级实验教学示范中心,上海201306 [2]上海海洋大学农业部淡水水产种质资源与利用重点开放实验室,上海201306 [3]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,上海201306 [4]上海城投原水有限公司青草沙水库管理分公司,上海201913
出 处:《基因组学与应用生物学》2019年第2期747-756,共10页Genomics and Applied Biology
基 金:上海市教委水产动物遗传育种中心上海市协同创新中心项目(ZF1206);上海城投原水有限公司科研项目(D-8006-14-0055)共同资助
摘 要:本研究在2014~2015年每月对青草沙水库进行浮游植物采样调查,研究了浮游植物群落结构特征及变化趋势。共鉴定出7门255种,其中2014年6门131种,2015年7门216种。2014年和2015年浮游植物的种类变化较大,但两年绿藻门种类数全年均占据优势。2014年和2015年浮游植物年平均生物密度分别为(484.91±317.51)×10~4 cell/L和(1 545.50±637.09)×10~4 cell/L。2014年和2015年平均生物量分别为(0.895 1±0.603 0) mg/L和(4.683 7±5.117 5) mg/L。两年内月份间生物密度和生物量差异均极显著(p<0.01),但2015年浮游植物生物密度和生物量各月份间的差异不如2014年显著。水库河流区浮游植物生物密度最低,但河流区、过渡区和湖泊区之间均无显著性差异(p>0.05)。RDA冗余分析显示浮游植物生物密度与水温、总氮等有正相关关系。Sampling and investigation of phytop lankton were conducted in Qingcaosha reservoir monthly from2014 to 2015 to study the structural characteristics and change trend of phytoplankton communities. A total of 7 genera and 255 species were identified, including 6 genera and 131 species in 2014 and 7 genera and 216 species in 2015. The species of phytoplankton changed significantly in 2014 and 2015, but the species number of Chlorophyta dominated in the whole year of 2014 and 2015. The mean density in biological population of phytoplankton was(484.91±317.51)×10^4 cell/L and(1 545.50±637.09)×10^4 cell/L in 2014 and 2015, respectively.Mean biomass in 2014 and 2015 was(0.895 1±0.603 0) mg/L and(4.683 7±5.117 5) mg/L, respectively. Density in biological population and biomass between months of the 2 years showed significant differences(p<0.01), but the differences of density in biological population and biomass of phytoplankton between months in 2015 were not as significant as those in 2014. The density in biological population of phytoplankton was the lowest in the reservoirfluvial region;however, there were no significant differences among the river area, transition zone and lake area(p>0.05). Redundancy analysis(RDA) showed that the density in biological population of phytoplankton might be positively correlated with water temperature and total nitrogen.
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