Population demography and the evolution of helping behaviors.
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State: Public
Version: author
State: Public
Version: author
Serval ID
serval:BIB_017ECB2ED803
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Population demography and the evolution of helping behaviors.
Journal
Evolution
ISSN
0014-3820 (Print)
ISSN-L
0014-3820
Publication state
Published
Issued date
2006
Peer-reviewed
Oui
Volume
60
Number
6
Pages
1137-1151
Language
english
Abstract
Limited dispersal may favor the evolution of helping behaviors between relatives as it increases their relatedness, and it may inhibit such evolution as it increases local competition between these relatives. Here, we explore one way out of this dilemma: if the helping behavior allows groups to expand in size, then the kin-competition pressure opposing its evolution can be greatly reduced. We explore the effects of two kinds of stochasticity allowing for such deme expansion. First, we study the evolution of helping under environmental stochasticity that may induce complete patch extinction. Helping evolves if it results in a decrease in the probability of extinction or if it enhances the rate of patch recolonization through propagules formed by fission of nonextinct groups. This mode of dispersal is indeed commonly found in social species. Second, we consider the evolution of helping in the presence of demographic stochasticity. When fecundity is below its value maximizing deme size (undersaturation), helping evolves, but under stringent conditions unless positive density dependence (Allee effect) interferes with demographic stochasticity. When fecundity is above its value maximizing deme size (oversaturation), helping may also evolve, but only if it reduces negative density-dependent competition.
Keywords
Altruism, Biological Evolution, Ecosystem, Fertility, Models, Biological, Mutation, Population Dynamics, Stochastic Processes
Pubmed
Web of science
Open Access
Yes
Create date
24/01/2008 17:54
Last modification date
20/08/2019 12:23