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Species delimitation in systematics: inferring diagnostic differences between species

Authors: J J, Wiens; M R, Servedio;

Species delimitation in systematics: inferring diagnostic differences between species

Abstract

Species are fundamental units in studies of systematics, biodiversity and ecology, but their delimitation has been relatively neglected methodologically. Species are typically circumscribed based on the presence of fixed (intraspecifically invariant or non-overlapping) diagnostic morphological characters which distinguish them from other species. In this paper, we argue that determining whether diagnostic characters are truly fixed with certainty is generally impossible with finite sample sizes and we show that sample sizes of hundreds or thousands of individuals may be necessary to have a reasonable probability of detecting polymorphisms in diagnostic characters at frequencies approaching zero. Instead, we suggest that using a non-zero frequency cut-off may be a more realistic and practical criterion for character-based species delimitation (for example, allowing polymorphisms in the diagnostic characters at frequencies of 5% or less). Given this argument, we then present a simple statistical method to evaluate whether at least one of a set of apparently diagnostic characters is below the frequency cut-off. This method allows testing of the strength of the evidence for species distinctness and is readily applicable to empirical studies.

Related Organizations
Keywords

Biometry, Species Specificity, Population, Animals, Models, Biological, Ecosystem, Phylogeny

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    selected citations
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    227
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
227
Top 1%
Top 1%
Top 10%
bronze
Related to Research communities
Italian National Biodiversity Future Center