埃塞俄比亚四个苏打湖中浮游植物的时间动态和环境变量

Hana Melese, Habte Jebessa Debella
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摘要

我们研究了埃塞俄比亚四个苏打湖中浮游植物组成、叶绿素-a(藻类生物量的替代物)和丰度与环境参数的时空动态关系:Arenguade、Beseka、Chittu 和 Shala。从 2020 年 1 月到 12 月,在不同季节四次采集了每个湖泊的三份水样。Chittu 湖的叶绿素-a 浓度最高,其次是 Arenguade 湖、Beseka 湖和 Shala 湖。叶绿素-a 浓度在雨季后和旱季普遍上升。阿伦古德湖、贝塞卡湖和奇图湖的 LR 模型结果较高。沙拉湖和贝塞卡湖的浮游植物类群数量最多,类群组成和丰度均以短叶藻类为主。Arenguade 湖和 Chittu 湖的浮游植物类群数量最多,类群组成和丰度均以短叶藻类为主。水温、Secchi 深度、浊度、电导率、可溶性活性磷、硝酸盐和二氧化硅对浮游植物群落结构有显著影响。长期趋势分析显示浮游植物生物量和湖泊分类组成发生了变化。湖泊浮游植物生物量和物种组成的变化可归因于三个因素:(1) 过去为进行地震研究而频繁进行的高速爆炸。就贝塞卡湖而言,这种影响造成湖面急剧上升,导致营养浓度下降;(2) 气候变化;(3) 盐分含量。总之,我们的研究结果表明,浮游植物的组成、生物量和丰度随季节波动而变化,强调了人为和自然原因对其群落结构可能产生的影响。
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Temporal phytoplankton dynamics and environmental variables in four Ethiopian soda lakes
We investigated the spatio-temporal dynamics of phytoplankton composition, chlorophyll-a as a proxy for algal biomass, and abundance in relation to environmental parameters in four Ethiopian soda lakes: Arenguade, Beseka, Chittu, and Shala. Triplicate water samples were collected from each lake from January to December 2020, four times in different seasons. Lake Chittu had the highest chlorophyll-a concentration, followed by Lake Arenguade, Beseka and Shala. Chlorophyll-a concentrations generally increased during the post rainy and dry season. The results of LR models are high for lakes Arengude, Beseka and Chittu. Lakes Shala and Beseka had the highest number of phytoplankton taxa, with both taxa composition and abundance dominated by Bacillariophyceae. Cyanoprokaryota, particularly Limnospira fusiformis, predominated in the abundance of Lakes Arenguade and Chittu. Water temperature, Secchi depth, turbidity, electrical conductivity, soluble reactive phosphorus, nitrate and silica significantly influenced the phytoplankton community structure. Long-term trend analysis revealed changes in phytoplankton biomass and lake taxonomic composition. The alteration in phytoplankton biomass and species composition of the lakes could be attributed to three factors: (1) frequent high-velocity explosions conducted for seismological studies in the past. This impact caused a dramatic increase in lake level in the case of Lake Beseka leading to a drop in nutrient concentration; (2) climate change and (3) salt content. Overall, our findings suggest that phytoplankton composition, biomass, and abundance varied according to seasonal fluctuations, emphasizing the possible effects of anthropogenic and natural causes on their community structure.
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