Assessing Aral Sea residual lake system: impact of fluctuating salinity on phytoplankton communities

Dmitry V Malashenkov, Lajos Voros, Aiym Duisen, Veronika Dashkova, Aidyn Abilkas, Ivan A Vorobjev, Natasha S Barteneva
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Abstract

The Aral Sea was once the fourth-largest inland water body in the world. However, the lake rapidly shrank over the past six decades, mainly due to the loss of inflow from one of its tributaries, the Amu Darya River. Lakes and reservoirs are traditionally characterized by static chemical and morphological parameters, leaving untouched a dynamic impact of phytoplankton changes. We used an integrated approach combining traditional microscopy and FlowCam-based imaging flow cytometry to study phytoplankton communities during the 2018 and 2019 expeditions in the Aral Sea remnant lakes system. The residual Aral Sea water bodies experienced different environmental conditions, forming hypersaline South Aral, North Aral Sea that is constantly getting freshwater, and brackish Chernyshev Bay and Tushchybas Lake with 2-8 times amplitude of salinity changes attributed to the variability in the precipitation and periodical influx of freshwater. The salinity fluctuations had an impact on the phytoplankton communities in Chernyshev Bay, making it similar to the phytoplankton of North Aral in 2018 while resembling the hypersaline South Aral phytoplankton assemblages in 2019. Multivariate analysis revealed that salinity, water temperature, ammonium, and nitrates were major contributors to explaining the variance in the sampling data. We conclude that drastic phytoplankton fluctuations occur in the two brackish water bodies in the middle of the former Aral Sea, reflecting changes in salinity
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评估咸海残留湖泊系统:盐度波动对浮游植物群落的影响
咸海曾是世界第四大内陆水体。然而,在过去六十年里,该湖泊迅速缩小,主要原因是其支流之一阿姆河的流入量减少。湖泊和水库的传统特征是静态的化学和形态参数,而浮游植物变化的动态影响却未被触及。在 2018 年和 2019 年对咸海残余湖泊系统的考察中,我们采用了一种结合传统显微镜和基于 FlowCam 的成像流式细胞仪的综合方法来研究浮游植物群落。咸海残余水体经历了不同的环境条件,形成了高盐度的南咸海、不断获得淡水的北咸海以及咸水的切尔尼舍夫湾和图什奇巴斯湖,其盐度变化幅度是降水量变化和淡水周期性流入的2-8倍。盐度波动对切尔尼雪夫湾的浮游植物群落产生了影响,使其在 2018 年与北咸海的浮游植物群落相似,而在 2019 年则与超盐的南咸海浮游植物群落相似。多变量分析表明,盐度、水温、铵和硝酸盐是解释采样数据差异的主要因素。我们的结论是,前咸海中部的两个咸水水体中浮游植物发生了剧烈波动,反映了盐度的变化
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