Literature DB >> 32006101

The Fisher-KPP equation over simple graphs: varied persistence states in river networks.

Yihong Du1, Bendong Lou2, Rui Peng3, Maolin Zhou4,5.   

Abstract

In this article, we study the dynamical behaviour of a new species spreading from a location in a river network where two or three branches meet, based on the widely used Fisher-KPP advection-diffusion equation. This local river system is represented by some simple graphs with every edge a half infinite line, meeting at a single vertex. We obtain a rather complete description of the long-time dynamical behaviour for every case under consideration, which can be classified into three different types (called a trichotomy), according to the water flow speeds in the river branches, which depend crucially on the topological structure of the graph representing the local river system and on the cross section areas of the branches. The trichotomy includes two different kinds of persistence states, and the state called "persistence below carrying capacity" here appears new.

Entities:  

Keywords:  Fisher-KPP equation; Long-time dynamics; PDE on graph; River network

Mesh:

Year:  2020        PMID: 32006101     DOI: 10.1007/s00285-020-01474-1

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  5 in total

1.  Population persistence under advection-diffusion in river networks.

Authors:  Jorge M Ramirez
Journal:  J Math Biol       Date:  2011-11-03       Impact factor: 2.259

Review 2.  Living in the branches: population dynamics and ecological processes in dendritic networks.

Authors:  Evan H Campbell Grant; Winsor H Lowe; William F Fagan
Journal:  Ecol Lett       Date:  2007-02       Impact factor: 9.492

3.  Population persistence in river networks.

Authors:  Jonathan Sarhad; Robert Carlson; Kurt E Anderson
Journal:  J Math Biol       Date:  2013-07-12       Impact factor: 2.259

4.  Population dynamics in river networks: analysis of steady states.

Authors:  Olga Vasilyeva
Journal:  J Math Biol       Date:  2019-04-02       Impact factor: 2.259

5.  Geometric indicators of population persistence in branching continuous-space networks.

Authors:  Jonathan Sarhad; Scott Manifold; Kurt E Anderson
Journal:  J Math Biol       Date:  2016-08-20       Impact factor: 2.259

  5 in total

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