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首页> 外文期刊>Lakes & Reservoirs >Study of phytoplankton flora and its use as a biomonitoring tool to determine the water quality of Krishnasayar Lake, Burdwan, West Bengal, India
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Study of phytoplankton flora and its use as a biomonitoring tool to determine the water quality of Krishnasayar Lake, Burdwan, West Bengal, India

机译：植物植物植物植物的研究及其用作克里什纳斯塔湖，印度西孟加拉邦克里什纳萨雷湖水质的生物监测工具

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The present study focused on biomonitoring approaches involving the phytoplanktoncomposition, density and diversity, and their relationships, with changes in environmentalvariables, and to determine the pollution status of Krishnasayar Lake in theBurdwan District of West Bengal, India. A total of 29 phytoplankton taxa belongingto Chlorophyceae (13), Cyanophyceae (9), Bacillariophyceae (5) and Euglenophyceae(2) were observed. The phytoplankton density exhibited a maximum value of 12,633cells/litre in the post-monsoon season and a minimum value of 7,266 cells/litre in thepre-monsoon season. The results of two multivariate proficiencies (cluster analysis;CCA) indicated the distribution of phytoplankton groups are influenced by pH, electricalconductivity, and the nitrate, phosphate, potassium and dissolved oxygen concentrations.Various diversity indices, including the Shannon–Wiener Diversity Index,Gleason Species Richness Index, Pielou Evenness Index and Naughton DominanceIndex, were explored to illustrate the seasonal phytoplankton fluctuations. TheShannon–Wiener Diversity Index values (2.524, 2.331 and 2.666, respectively, for thepre-monsoon, monsoon and post-monsoon seasons) indicate the moderation levelof pollution status of the lake. The present study also highlights biomonitoring is areasonable technique for establishing ecological conditions of lakes by consideringthe organisms within them, including planktonic algae, macrophytes, benthic macroinvertebrates,crustaceans and fishes on the basis of a single indicator species or acombination thereof. The present study used planktonic algae to determine changesin surrounding environmental conditions. As some of the studied phytoplankton speciesexhibit specific ecological preferences, their presence can indicate the healthof that system. As examples, Coelastrum microporum, Pandorina morum and Euglenaviridis indicate high levels of organic pollution. Krishnasayar Lake is integrated withthe Krishnasayar ecological park, being affected by large levels of anthropogenic disturbanceattributable mostly to uncontrolled and careless activities of some visitors,annual cultural activities, other programmes, etc., meaning relevant management activitiesare needed to protect the lake from further degradation.
机译：本研究重点是涉及浮游植物的生物监测方法构成，密度和多样性，以及它们的关系，环境变量，并确定克里斯纳萨塔湖的污染状况印度西孟加拉邦的Burdwan区。共有29个Phytoplankton Tapa属于至叶绿素（13），Cyanophyceae（9），Bacillariophyceae（5）和Euglenophyceae（2）被观察到。浮游植物密度最大值为12,633季风季节细胞/升，最低值为7,266个细胞/升季前季节。两种多变量型概要的结果（聚类分析;CCA）表明浮游植物的分布受PH，电气的影响电导率和硝酸盐，磷酸盐，钾和溶解的氧浓度。各种多样性指数，包括Shannon-Wiener多样性指数，Gleason物种丰富指数，Pielou均匀指数和Naughton占优势探索指数以说明季节性浮游植物波动。这Shannon-Wiener分集指数值（2.524,2.331和2.666，用于该值季风前，季风和季风季节）表示适度水平湖泊的污染状况。本研究还突出了生物监测是一个通过考虑建立湖泊生态条件的合理技术它们内部的生物，包括氏菌藻类，宏观物质，底栖大型椎骨门，基于单个指示物种或a的甲壳类动物和鱼类其组合。本研究使用浮游藻类来确定变化在周围的环境条件下。作为一些研究的浮游植物种类表现出特定的生态偏好，他们的存在可以表明健康这个系统。作为例子，Coelastrum Microporum，Pandorina Morum和EuglenaViridis表示高水平的有机污染。 Krishnasayar Lake与Krishnasayar生态公园，受到大量的人为干扰的影响归因于某些访客的不受控制和粗心的活动，年度文化活动，其他计划等，意味着相关的管理活动需要保护湖泊进一步降解。

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