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Pattern Formation and Bistability in a Generalist Predator-Prey Model
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Generalist predators have several food sources and do not depend on one prey species to survive. There has been considerable attention paid by modellers to generalist predator-prey interactions in recent years. Erbach and collaborators in 2013 found a complex dynamics with bistability, limit-cycles and bifurcations in a generalist predator-prey system. In this paper we explore the spatio-temporal dynamics of a reaction-diffusion PDE model for the generalist predator-prey dynamics analyzed by Erbach and colleagues. In particular, we study the Turing and Turing-Hopf pattern formation with special attention to the regime of bistability exhibited by the local model. We derive the conditions for Turing instability and find the region of parameters for which Turing and/or Turing-Hopf instability are possible. By means of numerical simulations, we present the main types of patterns observed for parameters in the Turing domain. In the Turing-Hopf range of the parameters, we observed either stable patterns or homogeneous periodic distributions. Our findings reveal that movement can break the effect of hysteresis observed in the local dynamics, what can have important implication in pest management and species conservation.
Title: Pattern Formation and Bistability in a Generalist Predator-Prey Model
Description:
Generalist predators have several food sources and do not depend on one prey species to survive.
There has been considerable attention paid by modellers to generalist predator-prey interactions in recent years.
Erbach and collaborators in 2013 found a complex dynamics with bistability, limit-cycles and bifurcations in a generalist predator-prey system.
In this paper we explore the spatio-temporal dynamics of a reaction-diffusion PDE model for the generalist predator-prey dynamics analyzed by Erbach and colleagues.
In particular, we study the Turing and Turing-Hopf pattern formation with special attention to the regime of bistability exhibited by the local model.
We derive the conditions for Turing instability and find the region of parameters for which Turing and/or Turing-Hopf instability are possible.
By means of numerical simulations, we present the main types of patterns observed for parameters in the Turing domain.
In the Turing-Hopf range of the parameters, we observed either stable patterns or homogeneous periodic distributions.
Our findings reveal that movement can break the effect of hysteresis observed in the local dynamics, what can have important implication in pest management and species conservation.
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