Literature DB >> 19215293

Generalization of the Price equation for evolutionary change.

Benjamin Kerr1, Peter Godfrey-Smith.   

Abstract

The Price equation is recognized as a general statistical description of evolutionary change with the potential to represent diverse processes. Here we present a new structurally symmetric equation for change that allows for arbitrary causal connectivity between ancestors and descendants, accounts for previously unaddressed processes (such as migration), and yields the Price equation as a special case.

Mesh:

Year:  2009        PMID: 19215293     DOI: 10.1111/j.1558-5646.2008.00570.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  7 in total

1.  The extended Price equation quantifies species selection on mammalian body size across the Palaeocene/Eocene Thermal Maximum.

Authors:  Brian D Rankin; Jeremy W Fox; Christian R Barrón-Ortiz; Amy E Chew; Patricia A Holroyd; Joshua A Ludtke; Xingkai Yang; Jessica M Theodor
Journal:  Proc Biol Sci       Date:  2015-08-07       Impact factor: 5.349

2.  Reproduction, symbiosis, and the eukaryotic cell.

Authors:  Peter Godfrey-Smith
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-14       Impact factor: 11.205

3.  Helical biography and the historical craft: the case of altruism and george price.

Authors:  Oren Harman
Journal:  J Hist Biol       Date:  2011       Impact factor: 1.326

4.  Conditional rehabilitation of cooperation under strategic uncertainty.

Authors:  Arnaud Z Dragicevic
Journal:  J Math Biol       Date:  2019-08-29       Impact factor: 2.259

5.  Biased movement drives local cryptic coloration on distinct urban pavements.

Authors:  Pim Edelaar; Adrian Baños-Villalba; David P Quevedo; Graciela Escudero; Daniel I Bolnick; Aída Jordán-Andrade
Journal:  Proc Biol Sci       Date:  2019-10-02       Impact factor: 5.349

Review 6.  Natural selection. IV. The Price equation.

Authors:  S A Frank
Journal:  J Evol Biol       Date:  2012-04-05       Impact factor: 2.411

7.  Evolution with stochastic fitness and stochastic migration.

Authors:  Sean H Rice; Anthony Papadopoulos
Journal:  PLoS One       Date:  2009-10-09       Impact factor: 3.240

  7 in total

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