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Species-based classification reveals spatial processes of phytoplankton meta-communities better than functional group approaches: a case study from three freshwater lake regions in China

机译:基于物种的分类揭示了浮游植物荟萃群落的空间过程,比功能群方法更好:中国三个淡水湖地区的案例研究

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摘要

Phytoplankton communities respond rapidly to environmental selection at a given locality, and they are also shaped by spatial processes at certain scales. The extracted effect of environmental selection and spatial processes may vary if different classification approaches are applied to phytoplankton and the spatial scales. In this study, summer phytoplankton of 43 lakes from three major lake regions in China were investigated and phytoplankton were classified with three approaches: taxonomy of species, habitat template-based functional groups, and morphology-based functional groups. Within a single lake region, the pattern of phytoplankton meta-community was significantly explained by environmental but not by spatial variables. In a larger scale covering all the three lake regions, both environmental and spatial variables explained the variance of the phytoplankton community, but the spatial variables were detected only by classification with species, and only the environmental variables were detected with phytoplankton functional groups. This study revealed that although vegetative populations of different species sorted into the same functional group have common response to environmental changes, their dispersal abilities, mechanisms, and strategies might differ markedly and therefore the species-specific approach cannot be disregarded when studying phytoplankton patterns at spatial scales.
机译:Phytoplankton社区在特定地点迅速响应环境选择,并且它们也被某些尺度的空间过程形状。如果将不同的分类方法应用于浮游植物和空间尺度,则环境选择和空间过程的提取效果可能变化。在这项研究中,研究了来自中国三大湖区43个湖泊的夏季浮游植物,并分类了三种方法:种类分类,基于栖息地模板的官能团和基于形态的官能团。在一个湖区内,浮游植物Meta群落的模式被环境显着解释,但不是通过空间变量解释。在覆盖所有三个湖区的大规模中,环境和空间变量都解释了浮游植物群落的方差,但仅通过用物种分类检测空间变量,并且仅使用浮游植物官能团检测到环境变量。本研究表明,尽管分类到相同官能团的不同物种的营养群体具有对环境变化的共同响应,但它们的分散能力,机制和策略可能会显着不同,因此在空间研究浮游植物模式时,不能忽视物种特异性方法秤。

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