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Trends in Ecology & Evolution
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Coalescent-based species delimitation in an integrative taxonomy

Authors: Fujita, Matthew K.; Leache, Adam D.; Burbrink, Frank T.; McGuire, Jimmy A; Moritz, Craig;

Coalescent-based species delimitation in an integrative taxonomy

Abstract

The statistical rigor of species delimitation has increased dramatically over the past decade. Coalescent theory provides powerful models for population genetic inference, and is now increasingly important in phylogenetics and speciation research. By applying probabilistic models, coalescent-based species delimitation provides clear and objective testing of alternative hypotheses of evolutionary independence. As acquisition of multilocus data becomes increasingly automated, coalescent-based species delimitation will improve the discovery, resolution, consistency, and stability of the taxonomy of species. Along with other tools and data types, coalescent-based species delimitation will play an important role in an integrative taxonomy that emphasizes the identification of species limits and the processes that have promoted lineage diversification.

Country
Australia
Keywords

data acquisition, phylog, probability, 590, Evolution, Molecular, taxonomy, Species Specificity, Keywords: coalescence, evolutionary theory, Phylogeny, species diversity, Models, Genetic, molecular evolution, population genetics, methodology, biological model, Classification, speciation (biology), phylogenetics, classification, numerical model, divergence

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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).
    732
    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 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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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!
732
Top 0.1%
Top 1%
Top 0.1%
Green