A homoclinic route to chaos in omnivore communities
Yiyuan Niu, Ju Kang, Wei Tao, Xin Wang
TL;DR
This work addresses how omnivory via intraguild predation can generate intrinsic, self-organized population fluctuations in ecological communities. It introduces a minimal three-species IGP model with a Holling type-II response and analyzes stability of the coexistence equilibrium E^*, revealing it as a saddle-focus that can undergo a Shilnikov homoclinic bifurcation, leading to chaos. Numerical simulations and Lyapunov-spectrum analysis show a progression from regular oscillations to Shilnikov-type chaos, with a Smale-horseshoe–style attractor near the saddle-focus; the model reproduces field-like patterns and matches observed host-parasite community data with Bray-Curtis similarities exceeding 0.9 across productivity levels. Collectively, the results provide a mechanistic, intrinsic route to complex dynamics in omnivorous networks and highlight Shilnikov chaos as a plausible driver of irregular population fluctuations in natural ecosystems.
Abstract
Omnivory, where species feed across multiple trophic levels, is a widespread feature of ecological networks. A key mechanism underlying such complexity is intraguild predation (IGP), in which a top predator consumes both an intermediate predator and a shared resource. Here, we show that Shilnikov homoclinic orbits emerge in a minimal intraguild predation model, triggering a cascade of homoclinic bifurcations near a saddle-focus equilibrium that culminates in chaos. Numerical simulations and Lyapunov spectrum analysis reveal multiple coexistence modes, ranging from regular oscillations to Shilnikov homoclinic orbits and chaos. Our model quantitatively reproduces patterns observed in natural omnivore networks, providing mechanistic insights into complex population fluctuations in ecological systems.
