Literature DB >> 12181601

Evolutionary branching of dispersal strategies in structured metapopulations.

Kalle Parvinen1.   

Abstract

Dispersal polymorphism and evolutionary branching of dispersal strategies has been found in several metapopulation models. The mechanism behind those findings has been temporal variation caused by cyclic or chaotic local dynamics, or temporally and spatially varying carrying capacities. We present a new mechanism: spatial heterogeneity in the sense of different patch types with sufficient proportions, and temporal variation caused by catastrophes. The model where this occurs is a generalization of the model by Gyllenberg and Metz (2001). Their model is a size-structured metapopulation model with infinitely many identical patches. We present a generalized version of their metapopulation model allowing for different types of patches. In structured population models, defining and computing fitness in polymorphic situations is, in general, difficult. We present an efficient method, which can be applied also to other structured population or metapopulation models.

Mesh:

Year:  2002        PMID: 12181601     DOI: 10.1007/s002850200150

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


  9 in total

1.  Leaving home ain't easy: non-local seed dispersal is only evolutionarily stable in highly unpredictable environments.

Authors:  Robin E Snyder
Journal:  Proc Biol Sci       Date:  2010-09-15       Impact factor: 5.349

2.  Function-valued adaptive dynamics and the calculus of variations.

Authors:  Kalle Parvinen; Ulf Dieckmann; Mikko Heino
Journal:  J Math Biol       Date:  2005-07-13       Impact factor: 2.259

3.  Asymmetric dispersal can maintain larval polymorphism: a model motivated by Streblospio benedicti.

Authors:  Christina Zakas; David W Hall
Journal:  Integr Comp Biol       Date:  2012-05-10       Impact factor: 3.326

Review 4.  An empiricist's guide to theoretical predictions on the evolution of dispersal.

Authors:  Anne Duputié; François Massol
Journal:  Interface Focus       Date:  2013-12-06       Impact factor: 3.906

5.  On fitness in metapopulations that are both size- and stage-structured.

Authors:  Kalle Parvinen; Anne Seppänen
Journal:  J Math Biol       Date:  2016-02-24       Impact factor: 2.259

6.  Eco-evolutionary dynamics of dispersal in spatially heterogeneous environments.

Authors:  Ilkka Hanski; Tommi Mononen
Journal:  Ecol Lett       Date:  2011-07-27       Impact factor: 9.492

7.  Strategies of offspring investment and dispersal in a spatially structured environment: a theoretical study using ants.

Authors:  Adam L Cronin; Nicolas Loeuille; Thibaud Monnin
Journal:  BMC Ecol       Date:  2016-02-05       Impact factor: 2.964

8.  The role of spatial heterogeneity in the evolution of local and global infections of viruses.

Authors:  Koich Saeki; Akira Sasaki
Journal:  PLoS Comput Biol       Date:  2018-01-25       Impact factor: 4.475

9.  Evolution of dispersal in a spatially heterogeneous population with finite patch sizes.

Authors:  Kalle Parvinen; Hisashi Ohtsuki; Joe Yuichiro Wakano
Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-18       Impact factor: 11.205

  9 in total

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