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Assessing phytoplankton community composition using combined pigment and particle size distribution analysis

机译:结合颜料和粒径分布分析评估浮游植物群落组成

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Changes in phytoplankton composition reveal relevant information about the response of aquatic systems to environmental drivers. Here, we propose the combined use of particle size measurements and pigment signatures to analyze the changes in the composition of phyto plankton communities at a coastal location. Canonical correlation analysis (CCA) was applied to separate phytoplankton signals from non-algal components of particulate matter in concurrent measurements of particle size distribution and pigment concentrations (chlorophylls a, b and c). Using this method, we were able to identify phytoplankton community structure variations at size and functional levels associated with the water column during the spring to summer transition at a Mediterranean coastal site. Some taxa with characteristic size spectrum signatures such as Pseudo-nitzschia sp., which produced an intense (up to 5 x 10(5) cells l(-1)), but ephemeral bloom, could also be identified. The general patterns of phytoplankton succession obtained using this methodology were corroborated by light microscopy and flow cytometry identification. Phytoplankton biovolume comparisons between both methods were highly consistent (r = 0.75, p 0.01). We consider that combined pigment and size structure analysis using CCA is a useful tool to determine reorganization patterns of phytoplankton via changes in species composition.
机译:浮游植物组成的变化揭示了有关水生系统对环境驱动器响应的相关信息。在这里,我们建议结合使用粒度测量和色素标记来分析沿海地区浮游植物群落组成的变化。在对粒度分布和色素浓度(叶绿素a,b和c)进行同时测量时,采用典型相关分析(CCA)将浮游植物信号与颗粒物的非藻类成分分开。使用这种方法,我们能够确定在地中海沿岸站点春季到夏季过渡期浮游植物群落结构的大小和与水柱相关的功能水平。一些具有特征尺寸谱特征的类群,例如伪造菌,产生强烈的(最多5 x 10(5)个细胞l(-1)),但短暂的花开也可以被鉴定。通过光学显微镜和流式细胞术鉴定,证实了使用该方法获得的浮游植物演替的一般模式。两种方法之间的浮游生物生物量比较高度一致(r = 0.75,p <0.01)。我们认为,使用CCA进行的色素和大小结构组合分析是通过物种组成的变化确定浮游植物重组模式的有用工具。

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