by Lion S.
Abstract:
Taking into account the interplay between spatial ecological dynamics and selection is a major challenge in evolutionary ecology. Although inclusive fitness theory has proven to be a very useful tool to unravel the interactions between spatial genetic structuring and selection, applications of the theory usually rely on simplifying demographic assumptions. In this paper, I attempt to bridge the gap between spatial demographic models and kin selection models by providing a method to compute approximations for relatedness coefficients in a spatial model with empty sites. Using spatial moment equations, I provide an approximation of nearest-neighbour relatedness on random regular networks, and show that this approximation performs much better than the ordinary pair approximation. I discuss the connection between the relatedness coefficients I define and those used in population genetics, and sketch some potential extensions of the theory.
Reference:
Lion S. (2009) Relatedness in spatially structured populations with empty sites: an approach based on spatial moment equations. Journal of theoretical Biology. 260(1): 121-131.
Bibtex Entry:
@Article{Lion2009,
Author = {Lion, Sébastien},
Title = {Relatedness in spatially structured populations with
empty sites: an approach based on spatial moment
equations},
Journal = {Journal of theoretical Biology},
doi = {10.1016/j.jtbi.2009.05.035},
Volume = {260},
Number = {1},
Pages = {121-131},
URL = {pub/Lion2009.pdf},
abstract = {Taking into account the interplay between spatial
ecological dynamics and selection is a major challenge
in evolutionary ecology. Although inclusive fitness
theory has proven to be a very useful tool to unravel
the interactions between spatial genetic structuring
and selection, applications of the theory usually rely
on simplifying demographic assumptions. In this paper,
I attempt to bridge the gap between spatial demographic
models and kin selection models by providing a method
to compute approximations for relatedness coefficients
in a spatial model with empty sites. Using spatial
moment equations, I provide an approximation of
nearest-neighbour relatedness on random regular
networks, and show that this approximation performs
much better than the ordinary pair approximation. I
discuss the connection between the relatedness
coefficients I define and those used in population
genetics, and sketch some potential extensions of the
theory.},
keywords = {space, evolution of social traits},
year = {2009}
}