A Non-local Cross-Diffusion Model of Population Dynamics II: Exact, Approximate, and Numerical Traveling Waves in Single
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A Non-local Cross-Diffusion Model of Population Dynamics II: Exact, Approximate, and Numerical Traveling Waves in Single- and Multi-species Populations Andrew L. Krause1 · Robert A. Van Gorder2 Received: 18 January 2020 / Accepted: 31 July 2020 © Society for Mathematical Biology 2020
Abstract We study traveling waves in a non-local cross-diffusion-type model, where organisms move along gradients in population densities. Such models are valuable for understanding waves of migration and invasion and how directed motion can impact such scenarios. In this paper, we demonstrate the emergence of traveling wave solutions, studying properties of both planar and radial wave fronts in one- and two-species variants of the model. We compute exact traveling wave solutions in the purely diffusive case and then perturb these solutions to analytically capture the influence directed motion has on these exact solutions. Using linear stability analysis, we find that the minimum wavespeeds correspond to the purely diffusive case, but numerical simulations suggest that advection can in general increase or decrease the observed wavespeed substantially, which allows a single species to more rapidly move into unoccupied resource-rich spatial regions or modify the speed of an invasion for two populations. We also find interesting effects from the non-local interactions in the model, suggesting that single species invasions can be enhanced with stronger non-locality, but that invasion of a competitive species may be slowed due to this non-local effect. Finally, we simulate pattern formation behind waves of invasion, showing that directed motion can have substantial impacts not only on wavespeed but also on the existence and structure of emergent patterns, as predicted in the first part of our study (Taylor et al. in Bull Math Biol, 2020). Keywords Aggregation · Directed motion · Traveling waves
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Robert A. Van Gorder [email protected]
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Mathematical Institute, University of Oxford, Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, United Kingdom
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Department of Mathematics and Statistics, University of Otago, P.O. Box 56, Dunedin 9054, New Zealand 0123456789().: V,-vol
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A. L. Krause, R. A. Van Gorder
1 Introduction Since Fisher’s famous work on waves of advantageous genes in a population (Fisher 1937), the emergence of wave solutions in reaction–diffusion models in and beyond population ecology has been well studied (Ablowitz and Zeppetella 1979; Dunbar 1983, 1984; Miller 1997; Hosono 1998; Grindrod 1991; Hosono 1998; Murray 2003; Volpert and Petrovskii 2009). Such solutions have been used to investigate invasion fronts (Lewis et al. 2016) of species which locally out-compete their native competitors, such as in the invasion of grey squirrels in Britain (Okubo et al. 1989; White et al. 2015), or in studying the invasive properties of cancer cells (Sherratt 1993; Strobl et al. 2020). Many other ecologically relevant scenarios require the knowledge of how differen
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