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Assembly rules and community models for unicellular organisms:patterns in diatoms of boreal streams

机译:单细胞生物的组装规则和群落模型:北方河藻硅藻中的模式

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Many studies have addressed either community models (e.g. Clementsian versus Gleasonian gradients) or assembly rules (e.g. nestedness, checkerboards) for higher plant and animal communities, but very few studies have examined different non-random distribution patterns simultaneously with the same data set. Even fewer studies have addressed generalities in the distribution patterns of unicellular organisms, such as diatoms. The authors studied non-randomness in the spatial distribution and community composition of stream diatoms. The data consisted of diatom surveys from 47 boreal headwater streams and small rivers in northern Finland. Analytical approaches included ordinations, cluster analysis, null model analyses, and associated randomisation tests. Stream diatom communities did not follow discrete Clementsian community types, where multiple species occur exclusively in a single community type. Rather, diatom species showed rather individualistic responses, leading to continuous Gleasonian variability in community composition. Although continuous variability was the dominating pattern in the data, diatoms also showed significant nestedness and less overlap in species distribution than expected by chance. However, these patterns were probably only secondary signals from species' individualistic responses to the environment. Although unicellular organisms, such as diatoms, differ from multicellular organisms in several biological characteristics, they nevertheless appear to show largely similar non-random distribution patterns previously found for higher plants and metazoans.
机译:许多研究已经针对较高的动植物群落解决了群落模型(例如Clementsian与Gleasonian梯度)或装配规则(例如嵌套,棋盘格),但是很少有研究使用相同的数据集同时检查了不同的非随机分布模式。很少有研究针对单细胞生物(如硅藻)的分布模式的一般性。作者研究了河流硅藻的空间分布和群落组成的非随机性。数据包括来自芬兰北部47条北部河源水流和小河的硅藻调查。分析方法包括排序,聚类分析,空模型分析和相关的随机检验。河流硅藻群落不遵循离散的克莱门茨群落类型,其中多个物种仅以单一群落类型出现。相反,硅藻物种表现出相当个人主义的反应,导致群落组成中的格里森式连续变化。尽管连续可变性是数据中的主要模式,但硅藻还显示出显着的嵌套性,且物种分布中的重叠率低于偶然的预期。但是,这些模式可能仅仅是物种对环境的个体反应的次要信号。尽管单细胞生物(例如硅藻)在某些生物学特性上与多细胞生物不同,但它们似乎表现出与以前在高等植物和后生动物中发现的非常相似的非随机分布模式。

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