Pattern formation and synchronism in an allelopathic plankton model with delay in a network

Canrong Tian, Shigui Ruan

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

A network is introduced to describe the spatiotemporal dynamics of two-species competitive and allelopathic plankton models, where the network structure represents the movement directions between every two patches. Time delay is also incorporated to describe the time required to produce stimulatory effect of one species on the growth of the other species. The model is described by a system of discrete-space and continuous-time equations with time delay in a network. Using the time delay as a bifurcation parameter, it is shown that a Hopf bifurcation occurs in the system. The stability of the Hopf bifurcation is also considered by applying the center manifold theory. Numerical simulations reveal that the stability of Hopf bifurcation leads to the emergence of planktonic blooms. Moreover, it is found that the network structure can switch the types of spatiotemporal patterns, a new feature observed only in delay differential equations with network structure.

Original languageEnglish (US)
Pages (from-to)531-557
Number of pages27
JournalSIAM Journal on Applied Dynamical Systems
Volume18
Issue number1
DOIs
StatePublished - Jan 1 2019

Keywords

  • Hopf bifurcation
  • Network
  • Pattern formation

ASJC Scopus subject areas

  • Analysis
  • Modeling and Simulation

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