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Characterization of common phytoplankton on the Louisiana shelf

机译:Louisiana架子上常见浮游植物的特征

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摘要

Phytoplankton and accompanying environmental data (temperature, salinity, secchi depth, stratification, and inorganic nutrients) were analyzed from 672 surface water samples (0 to 1.5 m depth) collected from 95 stations located on the Louisiana shelf between April 1990 and August 2011. Phytoplankton were identified to the lowest practical taxonomic unit from glutaraldehyde-preserved samples using epifluorescent microscopy and reported as cells L-1. Twenty-six phytoplankton taxa (primarily diatoms) that were 8 mu m in size, identified to genuslevel resolution and ranked in the top 20 in at least one of three separate categories (average abundance; frequency of occurrence; and bloom frequency) were used in subsequent analyses. Temperature, stratification, and secchi depth constituted the environmental variable combination best related to the phytoplankton community composition patterns across the 672 samples (r = 0.288; p 0.01) according to BEST analysis (PRIMER 7). The environmental optima of the 26 taxa were calculated using the weighted-averaging algorithm in the C2 program and then used to group the taxa into common phytoplankton clusters (i.e., niches) using PRIMER 7 CLUSTER. The phytoplankton clustered into three groups: Group A (summer assemblage), Group B (winter assemblage), and Group C (spring bloom assemblage). The results demonstrate that the composition of the phytoplankton community is most related to seasonality and physical variables, whereas nutrients appear to play a larger role in driving overall phytoplankton biomass. This study provides a platform to examine phytoplankton responses to future environmental perturbations in the region.
机译:从1990年4月和2011年8月之间的95站收集的672个地表水样(0至1.5米深度)分析了浮游植物和环境数据(温度,盐度,Secchi深度,分层和无机营养素).Phytoplankton使用ePiforcentm显微镜从戊二醛保存的样品中鉴定到最低实际分类机组中,并作为细胞L-1报告。二十六个浮游植物的分类群(主要是硅藻)的大小为8亩,鉴定为GenusLevel分辨率,并在三个单独的类别中的至少一种(平均丰度;发生的频率中的至少一个)中排名随后的分析。温度,分层和SECCHI深度构成与在672样品中的浮游植物群落组合物(R = 0.288; P <0.01)上的环境变量组合最佳含义(in <0.01)。使用C2程序中的加权平均算法计算26个分类群的环境Optima,然后使用引物7簇将分类群分组成常见的Phytoplankton簇(即,尼卡斯)。植物植物聚集成三组:A组(夏季组装),B组(冬季组装)和C组(春季盛开组件)。结果表明,浮游植物群落的组成与季节性和物理变量最有关,而营养素似乎在驾驶整体浮游植物生物质方面发挥着更大的作用。本研究提供了一个平台,用于检查该地区未来环境扰动的浮游植物的反应。

著录项

  • 来源
    《Marine pollution bulletin》 |2021年第7期|112458.1-112458.13|共13页
  • 作者单位

    Florida Gulf Coast Univ Coastal Watershed Inst 10501 FGCU Blvd South Ft Myers FL 33965 USA;

    Florida Gulf Coast Univ Coastal Watershed Inst 10501 FGCU Blvd South Ft Myers FL 33965 USA;

    Louisiana State Univ Dept Oceanog & Coastal Sci Baton Rouge LA 70803 USA;

    Louisiana Univ Marine Consortium 8124 Hwy 56 Cocodrie LA 70344 USA;

    Louisiana State Univ Dept Oceanog & Coastal Sci Baton Rouge LA 70803 USA|Louisiana Univ Marine Consortium 8124 Hwy 56 Cocodrie LA 70344 USA;

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

    Primary production; Mississippi River; Eutrophication; Macondo oil spill;

    机译:初级生产;密西西比河;富营养化;Macondo oil泄漏;

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