How to measure group selection in real-world populations

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Ressource 1Download: BIB_7E80A7722909.P001.pdf (257.24 [Ko])
State: Public
Version: Final published version
Serval ID
serval:BIB_7E80A7722909
Type
A part of a book
Collection
Publications
Title
How to measure group selection in real-world populations
Title of the book
Advances in Artificial Life, ECAL 2011
Author(s)
Powers S.T., Heys C., Watson R.A.
Publisher
MIT Press
ISBN
978-0-262-29714-1
Publication state
Published
Issued date
2011
Editor
Lenaerts T., Giacobini M., Bersini H., Bourgine P., Dorigo M., Doursat R.
Pages
672-679
Language
english
Abstract
Multilevel selection and the evolution of cooperation are fundamental to the formation of higher-level organisation and the evolution of biocomplexity, but such notions are controversial and poorly understood in natural populations. The theoretic principles of group selection are well developed in idealised models where a population is neatly divided into multiple semi-isolated sub-populations. But since such models can be explained by individual selection given the localised frequency-dependent effects involved, some argue that the group selection concepts offered are, even in the idealised case, redundant and that in natural conditions where groups are not well-defined that a group selection framework is entirely inapplicable. This does not necessarily mean, however, that a natural population is not subject to some interesting localised frequency-dependent effects - but how could we formally quantify this under realistic conditions? Here we focus on the presence of a Simpson's Paradox where, although the local proportion of cooperators decreases at all locations, the global proportion of cooperators increases. We illustrate this principle in a simple individual-based model of bacterial biofilm growth and discuss various complicating factors in moving from theory to practice of measuring group selection.
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22/01/2012 20:33
Last modification date
20/08/2019 14:39
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