Eco-evolutionary dynamics create extinction avalanches in mutualistic-antagonistic networks
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.
Related
- On the mapping between evolutionary scenarios and governing rules in state-dependent speciation-extinction models
- Evolutionary rescue model informs strategies for driving cancer cell populations to extinction
- Fear learning–induced brain dynamics predict individual extinction memory expression following transcranial magnetic stimulation
- Phased ecological assembly of Triassic marine reptile faunas following the Permian-Triassic mass extinction: ecospace dynamics in South China.
- Mutualistic microbes linked to broader niches but reduced diversification
BibTeX
@misc{jager2026ecoevolutionary,
title = {{Eco-evolutionary dynamics create extinction avalanches in mutualistic-antagonistic networks}},
author = {F. Jäger and C. Guill and N. Loeuille and Y. Yacine and K. T. Allhoff},
howpublished = {bioRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.21.753184},
url = {https://www.biorxiv.org/content/10.64898/2026.09.21.753184v1},
note = {CC BY-NC},
}
RIS
TY - UNPB
TI - Eco-evolutionary dynamics create extinction avalanches in mutualistic-antagonistic networks
AU - F. Jäger
AU - C. Guill
AU - N. Loeuille
AU - Y. Yacine
AU - K. T. Allhoff
PY - 2026
DA - 2026/09/21
PB - bioRxiv
DO - 10.64898/2026.09.21.753184
UR - https://www.biorxiv.org/content/10.64898/2026.09.21.753184v1
AB - 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.
ER -