Classifying measures of biological variation.
Classifying measures of biological variation.
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DOI：
10.1371/journal.pone.0115312
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Gillet EM
中科院分区：
文献类型：
--
作者：
Gregorius HR;Gillet EM
生物变异通常在两个基本水平上进行测量：个体群落内的变异，以及群落或元生态系统内变异的分布。我们开发了一个分类的生物变异的测量在两个层面上：在社区内的分散和多样性的类别，并在metacompatibility的成分分化和分区的变化的类别。基本上有两种方法来描述性状变异在群落中的分布，即具有相同性状状态或类型的个体往往出现在同一群落中（描述分化趋势），而具有不同类型的个体往往出现在不同群落中（描述分配趋势）。这两种方法都可以从分布在社区（CT的角度）和社区成员分布在性状状态（TC的角度）的性状变异的双重角度来看。这种分类涵盖了生物变异的大多数相关描述符（合格的措施），这是证明与描述符的主要家庭的帮助。此外，分类显示，开发新的描述符，满足当前的需求开辟了道路。然而，该分类也揭示了一些突出的和广泛应用的描述符的错误分类：分散经常被误分类为多样性，特别是在分散描述符允许计算有效数的情况下;群体遗传学的描述符GST通常被误分类为组成分化，并与分配导向分化混淆，而它实际上测量分配导向分配; β-多样性的描述词对它们应该代表的分化效果是模糊的，因此需要重新考虑概念。
Biological variation is commonly measured at two basic levels: variation within individual communities, and the distribution of variation over communities or within a metacommunity. We develop a classification for the measurement of biological variation on both levels: Within communities into the categories of dispersion and diversity, and within metacommunities into the categories of compositional differentiation and partitioning of variation. There are essentially two approaches to characterizing the distribution of trait variation over communities in that individuals with the same trait state or type tend to occur in the same community (describes differentiation tendencies), and individuals with different types tend to occur in different communities (describes apportionment tendencies). Both approaches can be viewed from the dual perspectives of trait variation distributed over communities (CT perspective) and community membership distributed over trait states (TC perspective). This classification covers most of the relevant descriptors (qualified measures) of biological variation, as is demonstrated with the help of major families of descriptors. Moreover, the classification is shown to open ways to develop new descriptors that meet current needs. Yet the classification also reveals the misclassification of some prominent and widely applied descriptors: Dispersion is often misclassified as diversity, particularly in cases where dispersion descriptor allow for the computation of effective numbers; the descriptor GST of population genetics is commonly misclassified as compositional differentiation and confused with partitioning-oriented differentiation, whereas it actually measures partitioning-oriented apportionment; descriptors of β-diversity are ambiguous about the differentiation effects they are supposed to represent and therefore require conceptual reconsideration.
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影响因子：
1.1
作者：
Gregorius, Hans-Rolf
通讯作者：
Gregorius, Hans-Rolf
影响因子：
1.7
作者：
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通讯作者：
GREGORIUS, HR
影响因子：
64.8
作者：
BOWCOCK, AM;RUIZLINARES, A;CAVALLISFORZA, LL
通讯作者：
CAVALLISFORZA, LL
影响因子：
4.8
作者：
Jost, Lou
通讯作者：
Jost, Lou
影响因子：
4.8
作者：
Chao, Anne;Chiu, Chun-Huo;Hsieh, T. C.
通讯作者：
Hsieh, T. C.