Literature DB >> 8066105

Dynamics and evolution: evolutionarily stable attractors, invasion exponents and phenotype dynamics.

D A Rand1, H B Wilson, J M McGlade.   

Abstract

We extend the ideas of evolutionary dynamics and stability to a very broad class of biological and other dynamical systems. We simultaneously develop the general mathematical theory and a discussion of some illustrative examples. After developing an appropriate formulation for the dynamics, we define the notion of an evolutionary stable attractor (ESA) and give some samples of ESAS with simple and complex dynamics. We discuss the relationship between our theory and that for ESSS in classical linear evolutionary game theory by considering some dynamical extensions. We then introduce and develop our main mathematical tool, the invasion exponent. This allows analytical and numerical analysis of relatively complex situations, such as the coevolution of multiple species with chaotic population dynamics. Using this, we introduce the notion of differential selective pressure which for generic systems is nonlinear and characterizes internal ESAS. We use this to analytically determine the ESAS in our previous examples. Then we introduce the phenotype dynamics which describe how a population with a distribution of phenotypes changes in time with or without mutations. We discuss the relation between the asymptotic states of this and the ESAS. Finally, we use our mathematical formulation to analyse a non-reproductive form of evolution in which various learning rules compete and evolve. We give a very tentative economic application which has interesting ESAS and phenotype dynamics.

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Year:  1994        PMID: 8066105     DOI: 10.1098/rstb.1994.0025

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  20 in total

1.  Invasion thresholds for fungicide resistance: deterministic and stochastic analyses

Authors: 
Journal:  Proc Biol Sci       Date:  1999-12-22       Impact factor: 5.349

2.  Evolutionary trade-offs at two time-scales: competition versus persistence.

Authors:  M Keeling
Journal:  Proc Biol Sci       Date:  2000-02-22       Impact factor: 5.349

3.  Reaction norms with bifurcations shaped by evolution.

Authors:  T J van Dooren
Journal:  Proc Biol Sci       Date:  2001-02-07       Impact factor: 5.349

4.  Evolution of flowering strategies in Oenothera glazioviana: an integral projection model approach.

Authors:  Mark Rees; Karen E Rose
Journal:  Proc Biol Sci       Date:  2002-07-22       Impact factor: 5.349

Review 5.  Population growth rates: issues and an application.

Authors:  H Charles J Godfray; Mark Rees
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-09-29       Impact factor: 6.237

6.  Small mutation rate and evolutionarily stable strategies in infinite dimensional adaptive dynamics.

Authors:  Angel Calsina; Sílvia Cuadrado
Journal:  J Math Biol       Date:  2003-08-20       Impact factor: 2.259

7.  Adaptive changes in harvested populations: plasticity and evolution of age and size at maturation.

Authors:  Bruno Ernande; Ulf Dieckmann; Mikko Heino
Journal:  Proc Biol Sci       Date:  2004-02-22       Impact factor: 5.349

8.  Transmission rates and adaptive evolution of pathogens in sympatric heterogeneous plant populations.

Authors:  I Gudelj; F van den Bosch; C A Gilligan
Journal:  Proc Biol Sci       Date:  2004-10-22       Impact factor: 5.349

9.  From invasion to latency: intracellular noise and cell motility as key controls of the competition between resource-limited cellular populations.

Authors:  Pilar Guerrero; Helen M Byrne; Philip K Maini; Tomás Alarcón
Journal:  J Math Biol       Date:  2015-04-02       Impact factor: 2.259

10.  The evolution of bet-hedging adaptations to rare scenarios.

Authors:  Oliver D King; Joanna Masel
Journal:  Theor Popul Biol       Date:  2007-08-31       Impact factor: 1.570

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