TY - JOUR T1 - Nonlocal Interaction Induces the Self-Organized Mussel Beds AU - Sun , Guiquan AU - Liu , Shumin AU - Li , Li AU - Li , Jing AU - Jin , Zhen JO - Journal of Nonlinear Modeling and Analysis VL - 4 SP - 617 EP - 646 PY - 2022 DA - 2022/06 SN - 3 DO - http://doi.org/10.12150/jnma.2021.617 UR - https://global-sci.org/intro/article_detail/jnma/20687.html KW - Nonlocal interaction, Mussel-algae system, Hopf bifurcation, Turing pattern, Multi-scale analysis. AB -
Mussel beds are important habitats and food sources for biodiversity in coastal ecosystems. The predation of mussel on algae depends not only on the current time and location, but also on the quantity of algae at other spatial location and time. To know the impacts of such predation behavior on the dynamics of mussel beds well, we pose a reaction-diffusion mussel-algae model coupling nonlocal interaction with kernel function. By calculating the critical conditions of Hopf bifurcation and Turing bifurcation, the conditions for the generation of Turing pattern are obtained. We find that the diffusion rate and predation rate of mussels have effect on the structure and density of spatial pattern of mussels under the nonlocal interaction, and the predation rate of mussels can produce different pattern types, while the diffusion rate plays a more important role on the pattern density. Moreover, the nonlocal interaction promotes the stability of the mussel beds. These results suggest that the nonlocal interaction between mussels and algaes is one of the important mechanisms for the formation of the spatial structure of mussel beds.