Finite element approximation of a population spatial adaptation model

In [18], Sighesada, Kawasaki and Teramoto presented a system of partial differential equations for modeling spatial segregation of interacting species. Apart from competitive Lotka-Volterra (reaction) and population pressure (cross-diffusion) terms, a convective term modeling the populations attract...

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Main Authors: Gonzalo Galiano, Julián Velasco
Format: Article
Language:English
Published: AIMS Press 2013-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.637
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author Gonzalo Galiano
Julián Velasco
author_facet Gonzalo Galiano
Julián Velasco
author_sort Gonzalo Galiano
collection DOAJ
description In [18], Sighesada, Kawasaki and Teramoto presented a system of partial differential equations for modeling spatial segregation of interacting species. Apart from competitive Lotka-Volterra (reaction) and population pressure (cross-diffusion) terms, a convective term modeling the populations attraction to more favorable environmental regions was included. In this article, we study numerically a modification of their convective term to take account for the notion of spatial adaptation of populations. After describing the model, in which a time non-local drift term is considered, we propose a numerical discretization in terms of a mass-preserving time semi-implicit finite element method. Finally, we provied the results of some biologically inspired numerical experiments showing qualitative differences between the original model of [18] and the model proposed in this article.
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spelling doaj-art-1f185a3f12e344c5963142eafbe8ace02025-01-24T02:26:12ZengAIMS PressMathematical Biosciences and Engineering1551-00182013-03-0110363764710.3934/mbe.2013.10.637Finite element approximation of a population spatial adaptation modelGonzalo Galiano0Julián Velasco1Dpto. de Matemáticas, Universidad de Oviedo, c/ Calvo Sotelo, 33007-OviedoDpto. de Matemáticas, Universidad de Oviedo, c/ Calvo Sotelo, 33007-OviedoIn [18], Sighesada, Kawasaki and Teramoto presented a system of partial differential equations for modeling spatial segregation of interacting species. Apart from competitive Lotka-Volterra (reaction) and population pressure (cross-diffusion) terms, a convective term modeling the populations attraction to more favorable environmental regions was included. In this article, we study numerically a modification of their convective term to take account for the notion of spatial adaptation of populations. After describing the model, in which a time non-local drift term is considered, we propose a numerical discretization in terms of a mass-preserving time semi-implicit finite element method. Finally, we provied the results of some biologically inspired numerical experiments showing qualitative differences between the original model of [18] and the model proposed in this article.https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.637finite elementpopulation dynamicssegregation.evolution problemspatial adaptationtime non-local convectioncross-diffusion
spellingShingle Gonzalo Galiano
Julián Velasco
Finite element approximation of a population spatial adaptation model
Mathematical Biosciences and Engineering
finite element
population dynamics
segregation.
evolution problem
spatial adaptation
time non-local convection
cross-diffusion
title Finite element approximation of a population spatial adaptation model
title_full Finite element approximation of a population spatial adaptation model
title_fullStr Finite element approximation of a population spatial adaptation model
title_full_unstemmed Finite element approximation of a population spatial adaptation model
title_short Finite element approximation of a population spatial adaptation model
title_sort finite element approximation of a population spatial adaptation model
topic finite element
population dynamics
segregation.
evolution problem
spatial adaptation
time non-local convection
cross-diffusion
url https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.637
work_keys_str_mv AT gonzalogaliano finiteelementapproximationofapopulationspatialadaptationmodel
AT julianvelasco finiteelementapproximationofapopulationspatialadaptationmodel