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Factors controlling phytoplankton dynamics in an arid reservoir in Tunisia (case of Sidi Saad dam)

机译:控制突尼斯干旱水库中浮游植物动力学的因素(Sidi Saad大坝案例)

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摘要

Temporal variation of the phytoplankton community and environmental factors were investigated over 8 months: from January 2018 to November 2018 in the Sidi Saad reservoir (central Tunisia): May, June (spring season), July, August (summer season) September, October and November (autumn season), and January (winter season). The relationships between phytoplankton and environmental factors were explored using Canonical Correspondence Analysis (CCA). General linear models (GLMs) were used to predict the phytoplankton abundance. Analysis of variance (ANOVA) was used to test the hypothesis that the abundance of each group of taxa differed between sampling months. The results of chemical analysis of the reservoir showed that the environment was enriched in nitrates, nitrites, ammonium, and orthophosphate, especially in May. Carlson’s trophic index using average chemical variables showed that Sidi Saad has a mesotrophic statute. There is temporal phytoplankton succession in the Sidi Saad reservoir. Cyanophyceae dominated over the year except in winter and late autumn (November and January). Chlorophyceae was the dominant group in winter month. The CCA results showed that six environmental factors, orthophosphates (PO43−), total phosphates (TP), Secchi disc depth (SD), total nitrogen (TN), temperature (T), and nitrite (NO2−) had significant influences on the changes in phytoplankton. GLM showed that PO43−, TP, TN, SD, and T were the significant predictors of phytoplankton abundance. Phytoplankton composition is largely dominated by the species Microcystis aeruginosa which formed a bloom with excessive abundance (up to 89.76 billion cell l−1 in spring). We recommend banning the fishing and their consumption during the period of Microcystis bloom and installing a system of biomonitoring of the levels of toxins in the water.
机译:的浮游植物群落和环境因素随时间的变化进行了调查8个月以上:从2018一月至十一月2018西迪萨阿德水库(突尼斯中心):五月,六月(春季),七月,八月(夏季)九月,十月和十一月(秋冬季节),和一月(冬季)。进行了探讨利用典范对应分析(CCA)浮游植物和环境因素之间的关系。一般线性模型(GLMS)被用来预测浮游植物丰度。方差分析(ANOVA)来测试的假设各组分类群的丰度采样月之间不同。水库的化学分析的结果表明,环境是在硝酸盐,亚硝酸盐,铵,和正浓,尤其是在五月。卡尔森的使用平均化学变量营养指数显示,西迪萨阿德有中营养法规。有一个在西迪萨阿德水库浮游植物时空连续。蓝藻为主过去一年,除了在冬季和秋末(十一月和一月)。绿藻在冬季月份的统治集团。该CCA结果表明,6个环境因素,正磷酸盐(PO 4 3-),总磷酸盐(TP),赛奇盘深度(SD),总氮(TN),温度(T),和亚硝酸根(NO 2 - )对显著影响改变浮游植物。 GLM显示,PO43-,TP,TN,SD和T分别为浮游植物大量的显著预测。浮游植物组合物主要是由将形成与过度丰富布隆(高达89.76十亿细胞L-1中的弹簧)的物种,铜绿微囊藻为主。我们建议禁止捕鱼,并在微囊藻水华期间他们的消费和安装在水中的毒素水平的生物监测系统。

著录项

  • 来源
    《Environmental Monitoring and Assessment》 |2021年第6期|354.1-354.15|共15页
  • 作者单位

    Faculté Des Sciences de Gafsa Campus universitaire Zarrouk Gafsa Tunisia|ISSAT-Mahdia UR Analyses Et Procédés Appliqués À L’Environnement UR17ES32 University of Monastir Monastir Tunisia;

    National Institute of Science and Technology of the Sea of Sfax Sfax Tunisia;

    ISSAT-Mahdia UR Analyses Et Procédés Appliqués À L’Environnement UR17ES32 University of Monastir Monastir Tunisia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bloom; Microcystis aeruginosa; Chlorophyceae; Nutrients;

    机译:绽放;微囊杆菌铜绿假单胞菌;叶绿素;营养素;

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