Literature DB >> 12427460

Evolution of cannibalistic traits: scenarios derived from adaptive dynamics.

Fabio Dercole1, Sergio Rinaldi.   

Abstract

The evolution of cannibalistic traits in consumer populations is studied in this paper with the approach of adaptive dynamics theory. The model is kept at its minimum complexity by eliminating some environmental characteristics, like heterogeneity and seasonalities, and by hiding the size-structure of the population. Evolutionary dynamics are identified through numerical bifurcation analysis, applied both to the ecological (resident-mutant) model and to the canonical equation of adaptive dynamics. The result is a rich catalog of evolutionary scenarios involving evolutionary stable strategies and branching points both in the monomorphic and dimorphic dynamics. The possibility of evolutionary extinction of highly cannibalistic populations is also ascertained. This allows one to explain why cannibalism can be a transient stage of evolution. Copyright 2002 Elsevier Science (USA)

Mesh:

Year:  2002        PMID: 12427460     DOI: 10.1016/s0040-5809(02)00008-4

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  4 in total

1.  Remarks on branching-extinction evolutionary cycles.

Authors:  Fabio Dercole
Journal:  J Math Biol       Date:  2003-10-27       Impact factor: 2.259

2.  Coevolution of slow-fast populations: evolutionary sliding, evolutionary pseudo-equilibria and complex Red Queen dynamics.

Authors:  F Dercole; R Ferrière; A Gragnani; S Rinaldi
Journal:  Proc Biol Sci       Date:  2006-04-22       Impact factor: 5.349

Review 3.  The consequences of polyandry for population viability, extinction risk and conservation.

Authors:  Luke Holman; Hanna Kokko
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-01-21       Impact factor: 6.237

4.  The coevolution of sexual imprinting by males and females.

Authors:  Miguel Angel Gómez-Llano; Eva María Navarro-López; Robert Tucker Gilman
Journal:  Ecol Evol       Date:  2016-09-14       Impact factor: 2.912

  4 in total

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