Literature DB >> 30135263

Eco-evolutionary dynamics of a population with randomly switching carrying capacity.

Karl Wienand1, Erwin Frey1, Mauro Mobilia2.   

Abstract

Environmental variability greatly influences the eco-evolutionary dynamics of a population, i.e. it affects how its size and composition evolve. Here, we study a well-mixed population of finite and fluctuating size whose growth is limited by a randomly switching carrying capacity. This models the environmental fluctuations between states of resources abundance and scarcity. The population consists of two strains, one growing slightly faster than the other, competing under two scenarios: one in which competition is solely for resources, and one in which the slow (cooperating) strain produces a public good (PG) that benefits also the fast (free-riding) strain. We investigate how the coupling of demographic and environmental (external) noise affects the population's eco-evolutionary dynamics. By analytical and computational means, we study the correlations between the population size and its composition, and discuss the social-dilemma-like 'eco-evolutionary game' characterizing the PG production. We determine in what conditions it is best to produce a PG; when cooperating is beneficial but outcompeted by free riding, and when the PG production is detrimental for cooperators. Within a linear noise approximation to populations of varying size, we also accurately analyse the coupled effects of demographic and environmental noise on the size distribution.
© 2018 The Author(s).

Entities:  

Keywords:  cooperation dilemma; ecology; evolution; fluctuations; population dynamics; public goods

Mesh:

Year:  2018        PMID: 30135263      PMCID: PMC6127162          DOI: 10.1098/rsif.2018.0343

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


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  5 in total

1.  Eco-evolutionary dynamics of a population with randomly switching carrying capacity.

Authors:  Karl Wienand; Erwin Frey; Mauro Mobilia
Journal:  J R Soc Interface       Date:  2018-08       Impact factor: 4.118

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