Literature DB >> 19644724

Numerical equilibrium analysis for structured consumer resource models.

A M de Roos1, O Diekmann, P Getto, M A Kirkilionis.   

Abstract

In this paper, we present methods for a numerical equilibrium and stability analysis for models of a size structured population competing for an unstructured resource. We concentrate on cases where two model parameters are free, and thus existence boundaries for equilibria and stability boundaries can be defined in the (two-parameter) plane. We numerically trace these implicitly defined curves using alternatingly tangent prediction and Newton correction. Evaluation of the maps defining the curves involves integration over individual size and individual survival probability (and their derivatives) as functions of individual age. Such ingredients are often defined as solutions of ODE, i.e., in general only implicitly. In our case, the right-hand sides of these ODE feature discontinuities that are caused by an abrupt change of behavior at the size where juveniles are assumed to turn adult. So, we combine the numerical solution of these ODE with curve tracing methods. We have implemented the algorithms for "Daphnia consuming algae" models in C-code. The results obtained by way of this implementation are shown in the form of graphs.

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Year:  2009        PMID: 19644724     DOI: 10.1007/s11538-009-9445-3

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  4 in total

1.  How to lift a model for individual behaviour to the population level?

Authors:  O Diekmann; J A J Metz
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

2.  Stochastic simulation of structured skin cell population dynamics.

Authors:  Shinji Nakaoka; Kazuyuki Aihara
Journal:  J Math Biol       Date:  2012-12-20       Impact factor: 2.259

3.  A numerical approach for investigating the stability of equilibria for structured population models.

Authors:  Dimitri Breda; Odo Diekmann; Stefano Maset; Rossana Vermiglio
Journal:  J Biol Dyn       Date:  2013-04-19       Impact factor: 2.179

4.  A didactical note on the advantage of using two parameters in Hopf bifurcation studies.

Authors:  O Diekmann; K Korvasová
Journal:  J Biol Dyn       Date:  2013-01-17       Impact factor: 2.179

  4 in total

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