Selection under limited population growth. Eco-evolutionary feedbacks and the replicator dynamics

Argasinski, K. & Broom, M. (2017). Selection under limited population growth. Eco-evolutionary feedbacks and the replicator dynamics. Ecological Complexity,

[img] Text - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (504kB) | Request a copy


This paper further develops a new way of modelling evolutionary game models with an emphasis on ecological realism, concerned with how ecological factors determine payo§s in evolutionary games. Our paper is focused on the impact of strategically neutral growth limiting factors and background Ötness components on game dynamics and the form of the stability conditions for the rest points constituted by the intersections of the frequency and density nullclines. It is shown that for the density dependent case, that at the stationary state, the turnover coe¢ cients (numbers of newborns per single dead adult) are equal for all strategies. In addition, the paper contains a derivation of the EESS (eco-evolutionarily stable states) conditions, describing evolutionary stability under limited population growth. We show that evolutionary stability depends on the local geometry (slopes) of the intersecting nullclines. The paper contains examples showing that density dependence induces behaviour which is not compatible with purely frequency dependent static game theoretic ESS stability conditions. We show that with the addition of density dependence, stable states can become unstable and unstable states can be stabilised. The stability or instability of the rest points can be explained by a mechanism of eco-evolutionary feedback.

Item Type: Article
Additional Information: © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Subjects: Q Science > QA Mathematics
Q Science > QH Natural history > QH301 Biology
Divisions: School of Engineering & Mathematical Sciences > Department of Mathematical Science

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics