Spatial dynamics of a vegetation model with uptake–diffusion feedback in an arid environment

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作者
Gui-Quan Sun
Li-Feng Hou
Li Li
Zhen Jin
Hao Wang
机构
[1] North University of China,Department of Mathematics
[2] Shanxi University,Complex Systems Research Center
[3] Shanxi University,School of Computer and Information Technology
[4] North University of China,Science and Technology on Electronic Test and Measurement Laboratory
[5] University of Alberta,Department of Mathematical and Statistical Sciences
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Vegetation model; Turing pattern; Multi-scale analysis; Uptake–diffusion feedback; Shading effect; Regime shifts; 35B36; 35B38; 35Q92; 92D25; 92D40;
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摘要
Vegetation patterns with a variety of structures is amazing phenomena in arid or semi-arid areas, which can identify the evolution law of vegetation and are typical signals of ecosystem functions. Many achievements have been made in this respect, yet the mechanisms of uptake–diffusion feedback on the pattern structures of vegetation is not fully understood. To well reveal the influences of parameters perturbation on the pattern formation of vegetation, we give a comprehensive analysis on a vegetation–water model in the forms of reaction–diffusion equation which is posed by Zelnik et al. (Proc Natl Acad Sci 112:12,327–12,331, 2015). We obtain the exact parameters range for stationary patterns and show the dynamical behaviors near the bifurcation point based on nonlinear analysis. It is found that the model has the properties of spot, labyrinth and gap patterns. Moreover, water diffusion rate prohibits the growth of vegetation while shading parameter promotes the increase of vegetation biomass. Our results show that gradual transitions from uniform state to gap pattern can occur for suitable value of parameters which may induce the emergence of desertification.
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