2003
DOI: 10.1590/s0103-97332003000300012
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Robustness of spontaneous pattern formation in spatially distributed genetic populations

Abstract: Spatially distributed genetic populations that compete locally for resources and mate only with sufficiently close neighbors, may give rise to spontaneous pattern formation. Depending on the population parameters, like death rate per generation and size of the competition and mating neighborhoods, isolated groups of individuals, or demes, may appear. The existence of such groups in a population has consequences for genetic diversity and for speciation. In this paper we discuss the robustness of demes formation… Show more

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Cited by 10 publications
(6 citation statements)
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“…However, these inquiries have been guided by the framework that uses averaging, and spatial variation that is self-generating rather than imposed externally has not been included in a consistent manner. Recent studies [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43] have emphasized the importance of self-generated patterns of spatial variation that dramatically alter the characteristic properties and behavior of evolutionary processes. These studies also formalize conceptual aspects of Wright's Shifting Balance Theory [10,44], which suggested local groups of organisms (demes) could differ from each other as part of the process of significant shifts in population genetic types.…”
Section: Introductionmentioning
confidence: 99%
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“…However, these inquiries have been guided by the framework that uses averaging, and spatial variation that is self-generating rather than imposed externally has not been included in a consistent manner. Recent studies [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43] have emphasized the importance of self-generated patterns of spatial variation that dramatically alter the characteristic properties and behavior of evolutionary processes. These studies also formalize conceptual aspects of Wright's Shifting Balance Theory [10,44], which suggested local groups of organisms (demes) could differ from each other as part of the process of significant shifts in population genetic types.…”
Section: Introductionmentioning
confidence: 99%
“…The second class includes reaction-diffusion partial differential equations, used to model pigment patterns in animal skins [18, see pp 621-698] and ecological processes [54]. Finally, lattice models [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43] treat space as a discrete set of sites, or regions, whose states are determined by local interaction with nearby points. These interactions are generally not limited to weak interactions, and the types of behavior that can be studied are similar to those of partial differential equations.…”
Section: Introductionmentioning
confidence: 99%
“…In fact, the role of space in the description of population biology problems has been recognized by several authors in the last years [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26]. In a very clear manner, Durrett and Levin [11] have pointed out that the modelling of population dynamics systems which are spatially distributed by interacting particle systems [11,27,28,29] is the appropriate theoretical approach that is able to give the more complete description of the problem.…”
Section: Introductionmentioning
confidence: 99%
“…The model, to be called ST model, is able to exhibit local time oscillations of species populations and stable coexistence. Other deeper investigations on this model and similar models followed [10], [27], [28], [34], [38]. The ST model has a phase diagram displaying an active phase, where there is species coexistence with local time oscillations and coexistence with stationary densities; it also exhibits an absorbing phase which correspond to the extinction of one of the species.…”
Section: Stochastic Lattice Modelsmentioning
confidence: 87%