Literature DB >> 24120478

Phylogenetic estimates of speciation and extinction rates for testing ecological and evolutionary hypotheses.

R Alexander Pyron1, Frank T Burbrink.   

Abstract

Phylogenies are used to estimate rates of speciation and extinction, reconstruct historical diversification scenarios, and link these to ecological and evolutionary factors, such as climate or organismal traits. Recent models can now estimate the effects of binary, multistate, continuous, and biogeographic characters on diversification rates. Others test for diversity dependence (DD) in speciation and extinction, which has become recognized as an important process in numerous clades. A third class incorporates flexible time-dependent functions, enabling reconstruction of major periods of both expanding and contracting diversity. Although there are some potential problems (particularly for estimating extinction), these methods hold promise for answering many classic questions in ecology and evolution, such as the origin of adaptive radiations, and the latitudinal gradient in species richness.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Keywords:  comparative methods; diversity dependence; ecology; evolution; extinction; phylogenies; speciation; systematics; traits

Mesh:

Year:  2013        PMID: 24120478     DOI: 10.1016/j.tree.2013.09.007

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  24 in total

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Journal:  Naturwissenschaften       Date:  2016-09-10

5.  Inferring the mammal tree: Species-level sets of phylogenies for questions in ecology, evolution, and conservation.

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8.  Molecular phylogeny and biogeographic history of the armored neotropical catfish subfamilies hypoptopomatinae, neoplecostominae and otothyrinae (siluriformes: loricariidae).

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9.  Quantifying Age-dependent Extinction from Species Phylogenies.

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10.  Clade age and diversification rate variation explain disparity in species richness among water scavenger beetle (Hydrophilidae) lineages.

Authors:  Devin D Bloom; Martin Fikáček; Andrew E Z Short
Journal:  PLoS One       Date:  2014-06-02       Impact factor: 3.240

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