Eco-evolutionary feedbacks, adaptive dynamics and evolutionary rescue theory

Author:

Ferriere Regis12,Legendre Stéphane3

Affiliation:

1. Ecole Normale Supérieure, Laboratoire Ecologie-Evolution, UMR 7625 UPMC-ENS-CNRS, 46 rue d'Ulm, 75005 Paris, France

2. Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA

3. CNRS, Laboratoire Ecologie-Evolution, UMR 7625 UPMC-ENS-CNRS, 46 rue d'Ulm, 75005 Paris, France

Abstract

Adaptive dynamics theory has been devised to account for feedbacks between ecological and evolutionary processes. Doing so opens new dimensions to and raises new challenges about evolutionary rescue. Adaptive dynamics theory predicts that successive trait substitutions driven by eco-evolutionary feedbacks can gradually erode population size or growth rate, thus potentially raising the extinction risk. Even a single trait substitution can suffice to degrade population viability drastically at once and cause ‘evolutionary suicide’. In a changing environment, a population may track a viable evolutionary attractor that leads to evolutionary suicide, a phenomenon called ‘evolutionary trapping’. Evolutionary trapping and suicide are commonly observed in adaptive dynamics models in which the smooth variation of traits causes catastrophic changes in ecological state. In the face of trapping and suicide, evolutionary rescue requires that the population overcome evolutionary threats generated by the adaptive process itself. Evolutionary repellors play an important role in determining how variation in environmental conditions correlates with the occurrence of evolutionary trapping and suicide, and what evolutionary pathways rescue may follow. In contrast with standard predictions of evolutionary rescue theory, low genetic variation may attenuate the threat of evolutionary suicide and small population sizes may facilitate escape from evolutionary traps.

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

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