Boom-bust population dynamics can increase diversity in evolving competitive communities
Michael Doebeli, Eduardo Cancino Jaque, Iaroslav Ispolatov

TL;DR
This paper demonstrates that boom-bust population dynamics can promote higher biodiversity in competitive communities by desynchronizing cycles and allowing more species to coexist than traditional models predict.
Contribution
It introduces eco-evolutionary models showing how boom-bust dynamics enable greater diversity through cycle desynchronization, challenging the competitive exclusion principle.
Findings
Boom-bust dynamics facilitate coexistence of more species.
Desynchronization of cycles maintains high diversity.
Models violate traditional resource-based diversity limits.
Abstract
The processes and mechanisms underlying the origin and maintenance of biological diversity have long been of central importance in ecology and evolution. The competitive exclusion principle states that the number of coexisting species is limited by the number of resources, or by the species' similarity in resource use. Natural systems such as the extreme diversity of unicellular life in the oceans provide counter examples. It is known that mathematical models incorporating population fluctuations can lead to violations of the exclusion principle. Here we use simple eco-evolutionary models to show that a certain type of population dynamics, boom-bust dynamics, can allow for the evolution of much larger amounts of diversity than would be expected with stable equilibrium dynamics. Boom-bust dynamics are characterized by long periods of almost exponential growth (boom) and a subsequent…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Evolution and Genetic Dynamics · Mathematical and Theoretical Epidemiology and Ecology Models
