Taxis-driven complex patterns of a plankton model

Author:

Chen Mengxin1ORCID,Ham Seokjun2,Kim Junseok2ORCID

Affiliation:

1. College of Mathematics and Information Science, Henan Normal University 1 , Xinxiang 453007, China

2. Department of Mathematics, Korea University 2 , Seoul 02841, Republic of Korea

Abstract

This paper reports an important conclusion that self-diffusion is not a necessary condition for inducing Turing patterns, while taxis could establish complex pattern phenomena. We investigate pattern formation in a zooplankton–phytoplankton model incorporating phytoplankton-taxis, where phytoplankton-taxis describes the zooplankton that tends to move toward the high-densities region of the phytoplankton population. By using the phytoplankton-taxis sensitivity coefficient as the Turing instability threshold, one shows that the model exhibits Turing instability only when repulsive phytoplankton-taxis is added into the system, while the attractive-type phytoplankton-taxis cannot induce Turing instability of the system. In addition, the system does not exhibit Turing instability when the phytoplankton-taxis disappears. Numerically, we display the complex patterns in 1D, 2D domains and on spherical and zebra surfaces, respectively. In summary, our results indicate that the phytoplankton-taxis plays a pivotal role in giving rise to the Turing pattern formation of the model. Additionally, these theoretical and numerical results contribute to our understanding of the complex interaction dynamics between zooplankton and phytoplankton populations.

Funder

China Postdoctoral Science Foundation

Publisher

AIP Publishing

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