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Eco-evolutionary feedbacks promote fluctuating selection and long-term stability of antagonistic networks
Author(s) -
Cecilia S. Andreazzi,
Paulo R. Guimarães,
Carlos J. Melián
Publication year - 2018
Publication title -
proceedings of the royal society b biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.342
H-Index - 253
eISSN - 1471-2954
pISSN - 0962-8452
DOI - 10.1098/rspb.2017.2596
Subject(s) - coevolution , trait , evolutionary dynamics , adaptation (eye) , biology , ecology , evolutionary biology , ecological network , selection (genetic algorithm) , stability (learning theory) , population , variation (astronomy) , ecosystem , computer science , machine learning , physics , demography , neuroscience , sociology , astrophysics , programming language
Studies have shown the potential for rapid adaptation in coevolving populations and that the structure of species interaction networks can modulate the vulnerability of ecological systems to perturbations. Although the feedback loop between population dynamics and coevolution of traits is crucial for understanding long-term stability in ecological assemblages, modelling eco-evolutionary dynamics in species-rich assemblages is still a challenge. We explore how eco-evolutionary feedbacks influence trait evolution and species abundances in 23 empirical antagonistic networks. We show that, if selection due to antagonistic interactions is stronger than other selective pressures, eco-evolutionary feedbacks lead to higher mean species abundances and lower temporal variation in abundances. By contrast, strong selection of antagonistic interactions leads to higher temporal variation of traits and on interaction strengths. Our results present a theoretical link between the study of the species persistence and coevolution in networks of interacting species, pointing out the ways by which coevolution may decrease the vulnerability of species within antagonistic networks to demographic fluctuation.

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