Environmental parameters drive the phytoplankton community structure: a case study in Baghdad Tourist Island Lake, Iraq

Taibat A. Wahhab, F. M. Hassan
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Abstract

Phytoplankton community is a model for of monitoring  aquatic systems and interpreting the environmental change in aquatic systems. The present study aimed to forecast environmental parameters that drive the change of phytoplankton community structure in the lake. The present study was carried out in Baghdad Tourist Island Lake (BTIL) for the period From October 2021 to May 2022. The study included the quality and quantity of phytoplankton, moreover, the highest and lowest value of the physical and chemical parameters were (Water temperature (13-30 °C), Light penetration (94-275cm), electric conductivity (837-1128 µS/cm), salinity (0.5-0.7 ‰), pH (7-8.2), total alkalinity (126-226 mg CaCO3/L), total Hardness (297-395 mg CaCO3/L), Calcium (62-98 mg/L), Magnesium (59-75mg/L), Sodium (45-77 mg/L), Potassium (4-9 mg/L), dissolved oxygen (6-9 mg/L), total dissolved solids (586-777 mg/L), total phosphorus (0.1-0.7 mg/L), total nitrogen (0.2-3 mg/L). Monthly samples were taken from the subsurface water from three sampling sites in the Lake and the results and presented as dry and wet seasons. A total of 127 algal taxa was identified in the dry and wet seasons with the dominancy of diatoms (Nitzschia, Gomphonema, Navicula, Ulnaria) and followed by Cyanophyceae (Oscillatoria, Merismopedia) and Chlorophyceae (Cladophora), while Dinophyceae (Ceratium, Gymnodinium), and Euglenophyceae (Euglena) were uncommon. The lowest total cell number of phytoplankton was 221cell*104 /L in the first site during the wet season, while the highest total cell number of phytoplankton was recorded at the third site with 323×104 cells/L in the dry season. The Canonical Correspondence Analysis (CCA) showed the impact of environmental parameters on phytoplankton community structure. Therefore, the changes in phytoplankton species were noticed in the present study in comparison with previous periods and this finding is a warning of alteration in the environmental condition of the lake.  
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环境参数驱动浮游植物群落结构:以伊拉克巴格达旅游岛湖为例
浮游植物群落是监测水生系统和解释水生系统环境变化的模型。本研究旨在预测湖泊浮游植物群落结构变化的环境参数。本研究于2021年10月至2022年5月在巴格达旅游岛湖(BTIL)进行。研究浮游植物的质量和数量,其中理化参数的最高和最低值为水温(13-30°C)、透光率(94-275cm)、电导率(837-1128µS/cm)、盐度(0.5-0.7‰)、pH(7-8.2)、总碱度(126-226 mg CaCO3/L)、总硬度(297-395 mg CaCO3/L)、钙(62-98 mg/L)、镁(59-75mg/L)、钠(45-77 mg/L)、钾(4-9 mg/L)、溶解氧(6-9 mg/L)、总溶解固形物(586-777 mg/L)、总磷(0.1-0.7 mg/L)、总氮(0.2-3 mg/L)。每月从该湖三个采样点的地下水中采集样本,结果分为干季和湿季。干湿季节共鉴定出127个藻类类群,以硅藻类(Nitzschia、Gomphonema、Navicula、Ulnaria)为主,其次为蓝藻类(Oscillatoria、Merismopedia)和绿藻类(Cladophora),甲藻类(Ceratium、Gymnodinium)和裸藻类(Euglena)少见。丰水期第一样点浮游植物总细胞数最低,为221 cells *104 /L;枯水期第三样点浮游植物总细胞数最高,为323×104 cells/L。典型对应分析(CCA)显示了环境参数对浮游植物群落结构的影响。因此,与以往的研究相比,本研究注意到浮游植物种类的变化,这一发现是湖泊环境条件变化的一个警告。
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审稿时长
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