On global bifurcation for a cross-diffusion predator–prey system with prey-taxis

2018 ◽  
Vol 76 (5) ◽  
pp. 1014-1025 ◽  
Author(s):  
Chenglin Li
2020 ◽  
Vol 100 (4) ◽  
pp. 4045-4060
Author(s):  
Xiaoling Li ◽  
Guangping Hu ◽  
Shiping Lu

2019 ◽  
Vol 16 (6) ◽  
pp. 6753-6768
Author(s):  
Xiaoling Li ◽  
◽  
Guangping Hu ◽  
Xianpei Li ◽  
Zhaosheng Feng ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Hongwei Yin ◽  
Xiaoyong Xiao ◽  
Xiaoqing Wen

For a predator-prey system, cross-diffusion has been confirmed to emerge Turing patterns. However, in the real world, the tendency for prey and predators moving along the direction of lower density of their own species, called self-diffusion, should be considered. For this, we investigate Turing instability for a predator-prey system with nonlinear diffusion terms including the normal diffusion, cross-diffusion, and self-diffusion. A sufficient condition of Turing instability for this system is obtained by analyzing the linear stability of spatial homogeneous equilibrium state of this model. A series of numerical simulations reveal Turing parameter regions of the interaction of diffusion parameters. According to these regions, we further demonstrate dispersion relations and spatial patterns. Our results indicate that self-diffusion plays an important role in the spatial patterns.


2014 ◽  
Vol 38 (21-22) ◽  
pp. 5022-5032 ◽  
Author(s):  
Zhi Ling ◽  
Lai Zhang ◽  
Zhigui Lin

2009 ◽  
Vol 20 (01) ◽  
pp. 71-84 ◽  
Author(s):  
GUI-QUAN SUN ◽  
ZHEN JIN ◽  
YI-GUO ZHAO ◽  
QUAN-XING LIU ◽  
LI LI

The vast majority of models for spatial dynamics of natural populations assume a homogeneous physical environment. However, in practice, dispersing organisms may encounter landscape features that significantly inhibit their movement. And spatial patterns are ubiquitous in nature, which can modify the temporal dynamics and stability properties of population densities at a range of spatial scales. Thus, in this paper, a predator-prey system with Michaelis-Menten-type functional response and self- and cross-diffusion is investigated. Based on the mathematical analysis, we obtain the condition of the emergence of spatial patterns through diffusion instability, i.e., Turing pattern. A series of numerical simulations reveal that the typical dynamics of population density variation is the formation of isolated groups, i.e., stripe-like or spotted or coexistence of both. The obtained results show that the interaction of self-diffusion and cross-diffusion plays an important role on the pattern formation of the predator-prey system.


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