Literature DB >> 23143391

Daphnias: from the individual based model to the large population equation.

J A J Metz1, Viet Chi Tran.   

Abstract

The class of deterministic 'Daphnia' models treated by Diekmann et al. (J Math Biol 61:277-318, 2010) has a long history going back to Nisbet and Gurney (Theor Pop Biol 23:114-135, 1983) and Diekmann et al. (Nieuw Archief voor Wiskunde 4:82-109, 1984). In this note, we formulate the individual based models (IBM) supposedly underlying those deterministic models. The models treat the interaction between a general size-structured consumer population ('Daphnia') and an unstructured resource ('algae'). The discrete, size and age-structured Daphnia population changes through births and deaths of its individuals and through their aging and growth. The birth and death rates depend on the sizes of the individuals and on the concentration of the algae. The latter is supposed to be a continuous variable with a deterministic dynamics that depends on the Daphnia population. In this model setting we prove that when the Daphnia population is large, the stochastic differential equation describing the IBM can be approximated by the delay equation featured in (Diekmann et al., loc. cit.).

Entities:  

Mesh:

Year:  2012        PMID: 23143391     DOI: 10.1007/s00285-012-0619-5

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


  7 in total

1.  On the formulation and analysis of general deterministic structured population models. II. Nonlinear theory.

Authors:  O Diekmann; M Gyllenberg; H Huang; M Kirkilionis; J A Metz; H R Thieme
Journal:  J Math Biol       Date:  2001-08       Impact factor: 2.259

2.  Steady-state analysis of structured population models.

Authors:  O Diekmann; M Gyllenberg; J A J Metz
Journal:  Theor Popul Biol       Date:  2003-06       Impact factor: 1.570

3.  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

4.  Adaptive dynamics for physiologically structured population models.

Authors:  Michel Durinx; J A J Hans Metz; Géza Meszéna
Journal:  J Math Biol       Date:  2007-10-18       Impact factor: 2.259

5.  Unifying evolutionary dynamics: from individual stochastic processes to macroscopic models.

Authors:  Nicolas Champagnat; Régis Ferrière; Sylvie Méléard
Journal:  Theor Popul Biol       Date:  2006-02-07       Impact factor: 1.570

6.  Trait Substitution Sequence process and Canonical Equation for age-structured populations.

Authors:  Sylvie Méléard; Viet Chi Tran
Journal:  J Math Biol       Date:  2008-07-31       Impact factor: 2.259

7.  Daphnia revisited: local stability and bifurcation theory for physiologically structured population models explained by way of an example.

Authors:  Odo Diekmann; Mats Gyllenberg; J A J Metz; Shinji Nakaoka; Andre M de Roos
Journal:  J Math Biol       Date:  2009-09-22       Impact factor: 2.259

  7 in total
  3 in total

1.  A rigorous model study of the adaptive dynamics of Mendelian diploids.

Authors:  Pierre Collet; Sylvie Méléard; Johan A J Metz
Journal:  J Math Biol       Date:  2012-07-21       Impact factor: 2.259

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.  Finite dimensional state representation of physiologically structured populations.

Authors:  Odo Diekmann; Mats Gyllenberg; Johan A J Metz
Journal:  J Math Biol       Date:  2019-12-21       Impact factor: 2.259

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.