Eco-evolutionary dynamics create extinction avalanches in mutualistic-antagonistic networks
Year: 2026
Type: preprint
Abstract: Evolution has given rise to the diversity of life on Earth, but it can also cause species extinctions. While major extinction events are usually associated with external drivers, in this study, we show mechanistically how evolution can trigger abrupt extinction avalanches in ecological networks without any environmental change. In particular, we investigate an eco-evolutionary simulation model of a tripartite mutualistic-antagonistic network, such as a plant-pollinator-herbivore network, with additional intraguild competition. The prevalence of self-organised extinction avalanches depends on a subtle balance of the different interaction types, where antagonism and similarity-based competition are needed for initial diversification while mutualism and trait-independent competition foster evolutionarily driven extinction events. Extinction avalanches are triggered by a mutualist evolving to interact with plants that are not subject to sufficient antagonistic control. Subsequently, the mutualist, its plant partners and their main antagonist potentially outcompete the rest of the community. Our findings point out that evolutionary murder may claim many victims simultaneously and highlight the need to take different interaction types into account to gain a comprehensive understanding of the links between evolution and biodiversity in ecological communities.
Institutions: University of Hohenheim, Carl von Ossietzky Universität Oldenburg, Institute for Chemistry and Biology of the Marine Environment, Centre National de la Recherche Scientifique, Université Paris-Est Créteil, Université Paris Cité, Sorbonne Université, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Institut d'écologie et des sciences de l'environnement de Paris, Institut de Recherche pour le Développement, Ifremer, Université de Montpellier, Marine Biodiversity Exploitation and Conservation, Staatliches Museum für Naturkunde Stuttgart
Language: English
Subfield: Genetics
Domain: Life Sciences
SDG: Life on land
Open Access status: green
Funder: Deutsche Forschungsgemeinschaft
OpenAlex ID: W7214239314
