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作 者:杨铭玉 王铠 赵淑江 YANG Ming-yu;WANG Kai;ZHAO Shu-jiang(College Ocean Science and Technology,Zhejiang Ocean University,Zhoushan 316022,China)
机构地区:[1]浙江海洋大学海洋科学与技术学院
出 处:《广东海洋大学学报》2020年第2期44-52,共9页Journal of Guangdong Ocean University
基 金:科技部国家重点研发项目“海岸带和沿海地区对海平面变化、极端气候事件的响应及脆弱性研究”(2017YFA0604902);国家海洋局公益项目“海陆交互区定点碳汇高频监测与评估技术”(201505003)
摘 要:【目的】揭示舟山附近海域不同功能区之间微微型自养浮游生物的时空分布。【方法】于2017年冬季、2018年春季、夏季、秋季,在舟山岛附近近岸海域不同功能区中选取6个典型站位,采集表层海水,获得24个样品。运用流式细胞仪技术对样品进行微微型自养浮游生物丰度检测,并分析其相关的环境因子及其时空分布特点。【结果】聚球藻(Synechococcus,Syn)丰度的季节分布由大到小依次为冬、春、秋、夏,微微型自养真核生物(Picoeukaryotes,Euk)丰度的季节分布由大到小依次为夏、秋、冬、春。相关性分析表明,春季,聚球藻与微微型真核浮游植物丰度均与pH呈显著正相关关系(P<0.05),微微型自养真核生物丰度与COD含量呈显著正相关关系(P<0.05);秋季,微微型自养真核生物丰度与NH4^+、NO2^-、Chl^-a含量呈显著正相关关系(P<0.05),冬季,微微型自养真核生物和聚球藻丰度均与Chl-a含量呈显著正相关关系(P<0.05)。【结论】舟山附近近岸海域微微型自养浮游生物的丰度可直接或间接反映海域污染情况,可作为检测水体污染的指标之一。【Objective】To reveal the temporal and spatial distribution of micro-phytoplankton in different functional regions in the coastal area of Zhoushan.【Method】From winter 2017 to autumn 2018,24 surface water samples from each of the six typical stations were collected.The samples were subjected to micro-phytoplankton abundance detection by flow cytometry,and the related environmental factors and their temporal and spatial distribution characteristics were analyzed.【Result】The seasonal distribution of synechococcus(syn)was:winter>spring>autumn>summer,and the seasonal distribution of picoukaryotes(Euk)was:summer>autumn>winter>spring.Correlation analysis showed that in the spring,both Synechococcus and pico-eukaryotic phytoplankton were significantly positively correlated(P<0.05)with pH,and micro-eukaryotic phytoplankton showed a significant positive correlation(P<0.05)with COD;in autumn,micro-miniature phytoplankton and NH4^+.There was a significant positive correlation(P<0.05)between NO2-and Chl-a.In winter,micro-eukaryotic phytoplankton and Synechococcus showed a significant positive correlation(P<0.05)with Chl-a.【Conclusion】The abundance of micro-phytoplankton in the coastal waters of Zhoushan can directly or indirectly reflect the pollution of the sea area and can be used as one of the indicators for detecting water pollution.
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