Litcius/Paper detail

Destabilizing evolutionary and eco-evolutionary feedbacks drive empirical eco-evolutionary cycles

Michael H. Cortez, Swati Patel, Sebastian J. Schreiber

2020Proceedings of the Royal Society B Biological Sciences25 citationsDOIOpen Access PDF

Abstract

We develop a method to identify how ecological, evolutionary, and eco-evolutionary feedbacks influence system stability. We apply our method to nine empirically parametrized eco-evolutionary models of exploiter-victim systems from the literature and identify which particular feedbacks cause some systems to converge to a steady state or to exhibit sustained oscillations. We find that ecological feedbacks involving the interactions between all species and evolutionary and eco-evolutionary feedbacks involving only the interactions between exploiter species (predators or pathogens) are typically stabilizing. In contrast, evolutionary and eco-evolutionary feedbacks involving the interactions between victim species (prey or hosts) are destabilizing more often than not. We also find that while eco-evolutionary feedbacks rarely altered system stability from what would be predicted from just ecological and evolutionary feedbacks, eco-evolutionary feedbacks have the potential to alter system stability at faster or slower speeds of evolution. As the number of empirical studies demonstrating eco-evolutionary feedbacks increases, we can continue to apply these methods to determine whether the patterns we observe are common in other empirical communities.

Topics & Concepts

EcologyEvolutionary dynamicsStability (learning theory)Evolutionary ecologyEvolutionary algorithmEvolutionary physiologyBiologyComputer scienceArtificial intelligencePopulationMachine learningSociologyHost (biology)DemographyEvolution and Genetic DynamicsEvolutionary Game Theory and CooperationMathematical and Theoretical Epidemiology and Ecology Models