A three-species model explaining cyclic dominance of pacific salmon
Christian Guill, Barbara Drossel, Wolfram Just, and Eddy Carmack

TL;DR
This paper presents a mathematical model explaining the cyclic dominance of Pacific salmon, specifically sockeye, as a stable dynamical attractor caused by a resonance near a bifurcation, accounting for observed population oscillations.
Contribution
It introduces a novel dynamical systems model that explains salmon population cycles as a resonance phenomenon, linking biological observations to mathematical bifurcation theory.
Findings
Oscillations explained as a stable attractor near a Neimark Sacker bifurcation
Model reproduces empirical salmon abundance sequences
Explains why oscillations occur only in certain salmon stocks
Abstract
The four-year oscillations of the number of spawning sockeye salmon (Oncorhynchus nerka) that return to their native stream within the Fraser River basin in Canada are a striking example of population oscillations. The period of the oscillation corresponds to the dominant generation time of these fish. Various - not fully convincing - explanations for these oscillations have been proposed, including stochastic influences, depensatory fishing, or genetic effects. Here, we show that the oscillations can be explained as a stable dynamical attractor of the population dynamics, resulting from a strong resonance near a Neimark Sacker bifurcation. This explains not only the long-term persistence of these oscillations, but also reproduces correctly the empirical sequence of salmon abundance within one period of the oscillations. Furthermore, it explains the observation that these oscillations…
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
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Fish Ecology and Management Studies · Evolution and Genetic Dynamics
