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Macroevolutionary diversification rates show time dependency.
Henao Diaz, L Francisco; Harmon, Luke J; Sugawara, Mauro T C; Miller, Eliot T; Pennell, Matthew W.
Afiliação
  • Henao Diaz LF; Department of Zoology, University of British Columbia, Vancouver, BC, Canada V6T 1Z4.
  • Harmon LJ; Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada V6T 1Z4.
  • Sugawara MTC; Department of Biological Sciences, University of Idaho, Moscow, ID 83844.
  • Miller ET; Department of Zoology, University of British Columbia, Vancouver, BC, Canada V6T 1Z4.
  • Pennell MW; Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada V6T 1Z4.
Proc Natl Acad Sci U S A ; 116(15): 7403-7408, 2019 04 09.
Article em En | MEDLINE | ID: mdl-30910958
ABSTRACT
For centuries, biologists have been captivated by the vast disparity in species richness between different groups of organisms. Variation in diversity is widely attributed to differences between groups in how fast they speciate or go extinct. Such macroevolutionary rates have been estimated for thousands of groups and have been correlated with an incredible variety of organismal traits. Here we analyze a large collection of phylogenetic trees and fossil time series and describe a hidden generality among these seemingly idiosyncratic

results:

speciation and extinction rates follow a scaling law in which both depend on the age of the group in which they are measured, with the fastest rates in the youngest clades. Using a series of simulations and sensitivity analyses, we demonstrate that the time dependency is unlikely to be a result of simple statistical artifacts. As such, this time scaling is likely a genuine feature of the tree of life, hinting that the dynamics of biodiversity over deep time may be driven in part by surprisingly simple and general principles.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Evolução Biológica / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Evolução Biológica / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article