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Stochasticity in the adaptive dynamics of evolution: The bare bones
First a population model with one single type of individuals is considered. Individuals reproduce asexually by splitting into two, with a population-size-dependent probability. Population extinction, growth and persistence are studied. Subsequently the results are extended to such a population with...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3357970/ https://www.ncbi.nlm.nih.gov/pubmed/22873437 http://dx.doi.org/10.1080/17513758.2010.506041 |
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author | Klebaner, Fima C. Sagitov, Serik Vatutin, Vladimir A. Haccou, Patsy Jagers, Peter |
author_facet | Klebaner, Fima C. Sagitov, Serik Vatutin, Vladimir A. Haccou, Patsy Jagers, Peter |
author_sort | Klebaner, Fima C. |
collection | PubMed |
description | First a population model with one single type of individuals is considered. Individuals reproduce asexually by splitting into two, with a population-size-dependent probability. Population extinction, growth and persistence are studied. Subsequently the results are extended to such a population with two competing morphs and are applied to a simple model, where morphs arise through mutation. The movement in the trait space of a monomorphic population and its possible branching into polymorphism are discussed. This is a first report. It purports to display the basic conceptual structure of a simple exact probabilistic formulation of adaptive dynamics. |
format | Online Article Text |
id | pubmed-3357970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-33579702012-05-24 Stochasticity in the adaptive dynamics of evolution: The bare bones Klebaner, Fima C. Sagitov, Serik Vatutin, Vladimir A. Haccou, Patsy Jagers, Peter J Biol Dyn Research Article First a population model with one single type of individuals is considered. Individuals reproduce asexually by splitting into two, with a population-size-dependent probability. Population extinction, growth and persistence are studied. Subsequently the results are extended to such a population with two competing morphs and are applied to a simple model, where morphs arise through mutation. The movement in the trait space of a monomorphic population and its possible branching into polymorphism are discussed. This is a first report. It purports to display the basic conceptual structure of a simple exact probabilistic formulation of adaptive dynamics. Taylor & Francis 2011-02-18 2011-03 /pmc/articles/PMC3357970/ /pubmed/22873437 http://dx.doi.org/10.1080/17513758.2010.506041 Text en © 2011 Taylor & Francis http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf This is an open access article distributed under the Supplemental Terms and Conditions for iOpenAccess articles published in Taylor & Francis journals (http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Klebaner, Fima C. Sagitov, Serik Vatutin, Vladimir A. Haccou, Patsy Jagers, Peter Stochasticity in the adaptive dynamics of evolution: The bare bones |
title | Stochasticity in the adaptive dynamics of evolution: The bare bones |
title_full | Stochasticity in the adaptive dynamics of evolution: The bare bones |
title_fullStr | Stochasticity in the adaptive dynamics of evolution: The bare bones |
title_full_unstemmed | Stochasticity in the adaptive dynamics of evolution: The bare bones |
title_short | Stochasticity in the adaptive dynamics of evolution: The bare bones |
title_sort | stochasticity in the adaptive dynamics of evolution: the bare bones |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3357970/ https://www.ncbi.nlm.nih.gov/pubmed/22873437 http://dx.doi.org/10.1080/17513758.2010.506041 |
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