Literature DB >> 24910489

A General Class of Test Statistics for Van Valen's Red Queen Hypothesis.

Jelani Wiltshire1, Fred W Huffer2, William C Parker3.   

Abstract

Van Valen's Red Queen hypothesis states that within a homogeneous taxonomic group the age is statistically independent of the rate of extinction. The case of the Red Queen hypothesis being addressed here is when the homogeneous taxonomic group is a group of similar species. Since Van Valen's work, various statistical approaches have been used to address the relationship between taxon age and the rate of extinction. We propose a general class of test statistics that can be used to test for the effect of age on the rate of extinction. These test statistics allow for a varying background rate of extinction and attempt to remove the effects of other covariates when assessing the effect of age on extinction. No model is assumed for the covariate effects. Instead we control for covariate effects by pairing or grouping together similar species. Simulations are used to compare the power of the statistics. We apply the test statistics to data on Foram extinctions and find that age has a positive effect on the rate of extinction. A derivation of the null distribution of one of the test statistics is provided in the supplementary material.

Entities:  

Keywords:  Red queen hypothesis; clustering; evolutionary theory; foram; nonparametric; survival analysis

Year:  2014        PMID: 24910489      PMCID: PMC4043279          DOI: 10.1080/02664763.2014.907394

Source DB:  PubMed          Journal:  J Appl Stat        ISSN: 0266-4763            Impact factor:   1.404


  3 in total

1.  Phylogenies reveal new interpretation of speciation and the Red Queen.

Authors:  Chris Venditti; Andrew Meade; Mark Pagel
Journal:  Nature       Date:  2009-12-09       Impact factor: 49.962

2.  Evolutionary biology: New take on the Red Queen.

Authors:  Michael J Benton
Journal:  Nature       Date:  2010-01-21       Impact factor: 49.962

3.  Interplay between changing climate and species' ecology drives macroevolutionary dynamics.

Authors:  Thomas H G Ezard; Tracy Aze; Paul N Pearson; Andy Purvis
Journal:  Science       Date:  2011-04-15       Impact factor: 47.728

  3 in total
  2 in total

1.  Estimating Age-Dependent Extinction: Contrasting Evidence from Fossils and Phylogenies.

Authors:  Oskar Hagen; Tobias Andermann; Tiago B Quental; Alexandre Antonelli; Daniele Silvestro
Journal:  Syst Biol       Date:  2018-05-01       Impact factor: 15.683

2.  A 450 million years long latitudinal gradient in age-dependent extinction.

Authors:  Daniele Silvestro; Silvia Castiglione; Alessandro Mondanaro; Carmela Serio; Marina Melchionna; Paolo Piras; Mirko Di Febbraro; Francesco Carotenuto; Lorenzo Rook; Pasquale Raia
Journal:  Ecol Lett       Date:  2019-12-18       Impact factor: 9.492

  2 in total

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