Structure and Dynamics of Pelagic Microalgae in Response to Anthropogenic Pressures: The Banco River Case

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Adjoua Marthe NGuessan, Netto Mireille Seu-Anoï, Youssouf Diabagate
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Abstract

This study was conducted to understand the structure and dynamics of microalgae in order to assess the ecological health of the Banco River. This river, located in the south of Côte d'Ivoire, is subject to considerable influence due to anthropogenic activities. To achieve this objective, microalgae as well as environmental parameters were sampled. Microalgae sampling took place at four points from July 2020 to June 2021, covering four climatic seasons, using a 20 µm mesh plankton net. Water samples of 250 ml at each station were taken for the extraction of chlorophyll pigments. However, high chlorophyll contents were obtained at station B1 (53 µg/l). In total, 158 microalgae taxa belonging to 53 genera, 32 families, 22 orders, 09 classes and 6 phyla were listed. The Euglenophytes (36.70%) represent the largest phylum with 58 taxa, followed by Chlorophytes (28.48%) with 45 taxa. The population of station B2 is more diverse, with 147 taxa, compared to the other stations. The evolution of the density shows that station B1 constitutes the environment with the highest density (4.77 × 10^6 cell/l). The organic pollution index (3.25–3.75) showed that the stations of the Banco River are moderately polluted.

响应人为压力的远洋微藻结构与动态:以班科河为例
本研究旨在了解班科河微藻的结构和动态,以评价其生态健康状况。这条河位于Côte科特迪瓦南部,由于人类活动而受到相当大的影响。为了实现这一目标,对微藻和环境参数进行了采样。微藻取样于2020年7月至2021年6月在四个地点进行,覆盖四个气候季节,使用20微米目浮游生物网。每个站点取250 ml水样提取叶绿素色素。而B1站叶绿素含量较高(53µg/l)。共发现微藻158个分类群,隶属于6门、22目、09纲、32科、53属。最大的门是裸藻门(36.70%),有58个类群;其次是绿藻门(28.48%),有45个类群。B2站种群多样性较强,有147个类群。密度演变表明B1站构成了密度最高的环境(4.77 × 10^6 cell/l)。有机污染指数(3.25 ~ 3.75)表明班科河各站处于中度污染状态。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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