Institut Nationale Agronomique de Tunisie (INAT), IRESA - Université de Carthage, U.R Biologie Marine (FST El Manar I), 43 Avenue Charles Nicolle, 1082 Tunis, Tunisia.
Laboratoire Ecologie des Systèmes Marins Côtiers (ECOSYM), UMR 5119 UM2-CNRS-IRD-IFREMER-UM1, Université Montpellier, Place Eugène Bataillon, 34095 Montpellier, France.
Sci Total Environ. 2017 Oct 1;595:380-392. doi: 10.1016/j.scitotenv.2017.03.183. Epub 2017 Apr 6.
We studied the relationships between sediment industrial pollutants concentrations, sediment characteristics and the dinoflagellate cyst abundance within a coastal lagoon by investigating a total of 55 sampling stations within the Bizerte lagoon, a highly anthropized Mediterranean ecosystem. The sediment of Bizerte lagoon is characterized by a high dinocyst abundance, reaching a maximum value of 2742cysts·g of dry sediment. The investigated cyst diversity was characterized by the presence of 22 dominant dinocyst morphotypes belonging to 11 genera. Two dinoflagellate species dominated the assemblage: Alexandrium pseudogonyaulax and Protoperidinium claudicans, representing 29 to 89% and 5 to 38% of the total cyst abundance, respectively, depending on the station. Seven morphotypes belonging to potentially toxic species were detected, including Alexandrium minutum, A. pseudogonyaulax, Alexandrium catenella/tamarense species complex, Lingulodinium polyedrum, Gonyaulax cf. spinifera complex, Prorocentrum micans and Protoceratium reticulatum. Pearson correlation values showed a positive correlation (α=0.05) between cyst abundance and both water content and fine silt sediment content. Clustering revealed that the highest abundance of cysts corresponds to stations presenting the higher amounts of heavy metals. The simultaneous autoregressive model (SAM) highlighted a significant correlation (α=0.05) between cyst accumulation and two main factors: sediment water content and sediment content for several heavy metals, including Hg, Cd, Cu, Ni and Cr. These results suggest that the degree of heavy metal pollution could influence cyst accumulation patterns.
我们通过在比塞大泻湖内共调查 55 个采样点,研究了该泻湖的沉积物工业污染物浓度、沉积物特征与甲藻孢囊丰度之间的关系。比塞大泻湖的沉积物具有较高的孢囊丰度,最高可达 2742 个孢囊·g 干沉积物。研究中发现的孢囊多样性特征在于存在 22 种优势甲藻形态型,分属于 11 个属。两种甲藻物种在组合中占主导地位:亚历山大藻(Alexandrium pseudogonyaulax)和原多甲藻(Protoperidinium claudicans),分别占总孢囊丰度的 29%至 89%和 5%至 38%,具体取决于采样点。共检测到七种属于潜在有毒物种的形态型,包括微小亚历山大藻(Alexandrium minutum)、亚历山大藻(Alexandrium pseudogonyaulax)、亚历山大藻(Alexandrium catenella/tamarense)种复合体、多边膝沟藻(Lingulodinium polyedrum)、旋链角毛藻(Gonyaulax cf. spinifera)复合体、米氏裸甲藻(Prorocentrum micans)和原甲藻(Protoceratium reticulatum)。皮尔逊相关值表明,孢囊丰度与水含量和细粉砂沉积物含量之间存在正相关(α=0.05)。聚类分析显示,孢囊丰度最高的采样点对应于重金属含量较高的采样点。自回归模型(SAM)突出显示了孢囊积累与两个主要因素之间的显著相关性(α=0.05):水含量和沉积物中几种重金属(包括汞、镉、铜、镍和铬)的含量。这些结果表明,重金属污染程度可能会影响孢囊积累模式。