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首页> 外文期刊>RSC Advances >Phytoplankton nutrient dynamics and flow cytometry based population study of a eutrophic wetland habitat in eastern India, a Ramsar site
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Phytoplankton nutrient dynamics and flow cytometry based population study of a eutrophic wetland habitat in eastern India, a Ramsar site

机译：植物营养动力学和流式细胞术的养殖湿地栖息地，富养殖湿地栖息地，是印度东部，拉姆萨尔网站

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摘要

Phytoplankton diversity, their abundance based on flow cytometric (FCM) analysis and seasonal nutrient dynamics were investigated from a waste water fed wetland of Eastern India (88 degrees 24.641'E and 22 degrees 33.115'N). The primary objective of the study was to correlate the seasonal fluctuations in phytoplankton abundance to the environmental variables. Total chlorophyll content and FCM based cell counts were used to characterize and quantify the phytoplankton population. Multivariate statistical methods were employed in predicting the possible relationships between biotic and abiotic variables. Distinct seasonal variations characterized by high abundance during the pre-summer period compared to other seasons were detected. The results indicated that environmental factors like water temperature and nutrients, such as various forms of nitrogen and phosphate, influenced the seasonal phytoplankton accumulation. Cluster analysis and non-metric multidimensional scaling helped analyze the seasonal distribution of phytoplankton based on their composition. The dominant genera among the entire phytoplankton community were Scenedesmus spp. of Chlorophyta, followed by Merismopedia spp. of Cyanoprokaryota. Around 3.7 x 10(5) phytoplankton mL(-1) were recorded during the study period. Due to the very high count of individual species in the community, FCM based counting was applied for determination of Species Diversity Index. The entire population was divided into 13 subpopulations based on the cell sorting method and the seasonal abundance in each sub-population was illustrated.
机译：从印度东部湿润的废水（88度24.641'e和22度33.115'n），研究了基于流式细胞术（FCM）分析和季节性营养动力学的浮萍（FCM）分析和季节性营养动态的分集。该研究的主要目的是将浮游植物丰富的季节性波动与环境变量相关联。总叶绿素含量和基于FCM的细胞计数用于表征和量化浮游植物。采用多元统计方法预测生物和非生物变量之间的可能关系。检测到与其他季节相比，在暑期期间以高丰度为特征的季节性变化。结果表明，水温和营养等的环境因素，如各种形式的氮和磷酸盐，影响了季节性浮游植物积累。集群分析和非公制多维缩放有助于分析基于其组成的植物季节性分布。整个植物群落中的主导属是Scenedesmus SPP。叶绿素，其次是Merismopedia SPP。 Cyanoprokaryota。在研究期间记录约3.7×10（5）份植物氟氯丙烷Ml（-1）。由于社区中的个体种类的数量非常高，基于FCM的计数被应用于物种多样性指数的测定。整个人群分为基于细胞分选方法的13个亚群，并说明了每个子群中的季节性丰度。

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  • 来源
    《RSC Advances》 |2018年第17期|共16页
  • 作者

    Roy Anindita Singha; Gorain Prakash Chandra; Paul Ishita; Sengupta Sarban; Mondal Pronoy Kanti; Pal Ruma;

  • 作者单位

    Univ Calcutta Dept Bot Phycol Lab 35 Ballygunge Circular Rd Kolkata 700019 W Bengal India;

    Univ Calcutta Dept Bot Phycol Lab 35 Ballygunge Circular Rd Kolkata 700019 W Bengal India;

    Indian Inst Technol Agr &

    Food Engn Dept Kharagpur 721302 W Bengal India;

    Univ Calcutta Dept Bot Phycol Lab 35 Ballygunge Circular Rd Kolkata 700019 W Bengal India;

    Indian Stat Inst Human Genet Unit Kolkata 700108 W Bengal India;

    Univ Calcutta Dept Bot Phycol Lab 35 Ballygunge Circular Rd Kolkata 700019 W Bengal India;

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