Abstract

As shown by Alan Turing in 1952, differential diffusion may destabilize uniform distributions of reacting species and lead to emergence of patterns. While stationary Turing patterns are broadly known, the oscillatory instability, leading to traveling waves in continuous media and sometimes called the wave bifurcation, remains less investigated. Here, we extend the original analysis by Turing to networks and apply it to ecological metapopulations with dispersal connections between habitats. Remarkably, the oscillatory Turing instability does not lead to wave patterns in networks, but to spontaneous development of heterogeneous oscillations and possible extinction of species. We find such oscillatory instabilities for all possible food webs with three predator or prey species, under various assumptions about the mobility of individual species and nonlinear interactions between them. Hence, the oscillatory Turing instability should be generic and must play a fundamental role in metapopulation dynamics, providing a common mechanism for dispersal-induced destabilization of ecosystems.

Highlights

  • As shown by Alan Turing in 1952, differential diffusion may destabilize uniform distributions of reacting species and lead to emergence of patterns

  • We extend the original analysis by Turing to networks and apply it to ecological metapopulations with dispersal connections between habitats

  • A rich variety of nonequilibrium pattern formation is supported by reaction-diffusion processes

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Summary

Introduction

As shown by Alan Turing in 1952, differential diffusion may destabilize uniform distributions of reacting species and lead to emergence of patterns. The oscillatory Turing instability does not lead to wave patterns in networks, but to spontaneous development of heterogeneous oscillations and possible extinction of species. Near the Turing-Hopf bifurcation point, complex mixed modes leading to standing waves and spatio-temporal chaos can exist[14] Their mechanism is different from that of the oscillatory Turing instability. While some ecological systems can be described by reaction-diffusion equations for continuous media, there are many ecosystems that are spatially fragmented and represent networks[21,22,23]. Such networks are formed by www.nature.com/scientificreports individual habitats which are linked by dispersal connections. The role of dispersal connections in the synchronization effects in ecological networks has been discussed[46]

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