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Size scaling patterns of species richness and carbon biomass for marine phytoplankton functional groups

机译:海洋浮游植物功能群物种丰富度和碳生物量的尺度变化规律

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Phytoplankton assemblages were clustered into associations according to functional taxonomic (diatoms, dinoflagellates and coccolithophores) and "ataxonomic" unimodal (nanoplankton, microplankton and macroplankton) size-based criteria. Scaling relations of species richness-cell size were performed in terms of histogram and log-transformed data analyses for both taxonomic and ataxonomic groups. Frequency distribution histograms were fitted to a negative power function, which was strongly unimodal and right skewed and invariant across taxonomic and ataxonomic units. Regression analyses of the log-transformed data were fitted to negative linear curves, which had common patterns and they were independent of taxonomic or ataxonomic affiliation. Species carbon biomass-cell size spectra produced by log transformation of the relevant data yielded positive slopes for both taxonomic and ataxonomic groups. In contrast, comparisons of the relative cell abundance, cell volume and carbon biomass levels showed large differences among these variables across taxonomic and ataxonomic groups. This work demonstrates that phytoplankton taxonomic and ataxonomic functional group relationships should be considered when developing future models of phytoplankton community structure.
机译:根据功能分类学(硅藻,硅藻鞭毛虫和球墨鱼)和“共生”单峰(纳米浮游生物,微型浮游生物和大型浮游生物)基于大小的标准,将浮游植物组合归为关联。物种丰富度-细胞大小的比例关系是根据直方图和对数分类和共生分类的对数转换数据分析进行的。频率分布直方图被拟合为负幂函数,该函数是强单峰的,并且在分类和分类单元中右偏并且不变。对数转换数据的回归分析拟合为负线性曲线,该曲线具有常见模式,并且与分类学或分类学隶属关系无关。通过对相关数据进行对数转换而产生的物种碳生物量-细胞大小光谱对分类学和分类学组均产生正斜率。相比之下,比较细胞相对丰度,细胞体积和碳生物量水平表明,这些变量之间在分类学和分类学组之间差异很大。这项工作表明,在开发未来的浮游植物群落结构模型时,应考虑浮游植物的分类学和分类学功能群关系。

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