Studies of the evolution of a social trait often make ecological assumptions (of population structure, life history), and thus a trait can be studied many different times with different assumptions. Here, I consider a Moran model of continuous reproduction and use an inclusive fitness analysis to investigate the relationships between fecundity or survival selection and birth–death (BD) or death–birth (DB) demography on the evolution of a social trait. A simple symmetry obtains: fecundity (respectively survival) effects under BD behave the same as survival (respectively fecundity) effects under DB. When these results are specialized to a homogeneous population, greatly simplified conditions for a positive inclusive fitness effect are obtained in both a finite and an infinite population. The results are established using the elegant formalism of mathematical group theory and are illustrated with an example of a finite population arranged in a cycle with asymmetric offspring dispersal.
%0 Journal Article
%1 taylor2010birthdeath
%A Taylor, P.
%D 2010
%J Journal of Evolutionary Biology
%K birth_death_processes life_cycle trait_evolution
%N 12
%P 2569-2578
%R 10.1111/j.1420-9101.2010.02122.x
%T Birth–death symmetry in the evolution of a social trait
%U https://doi.org/10.1111/j.1420-9101.2010.02122.x
%V 23
%X Studies of the evolution of a social trait often make ecological assumptions (of population structure, life history), and thus a trait can be studied many different times with different assumptions. Here, I consider a Moran model of continuous reproduction and use an inclusive fitness analysis to investigate the relationships between fecundity or survival selection and birth–death (BD) or death–birth (DB) demography on the evolution of a social trait. A simple symmetry obtains: fecundity (respectively survival) effects under BD behave the same as survival (respectively fecundity) effects under DB. When these results are specialized to a homogeneous population, greatly simplified conditions for a positive inclusive fitness effect are obtained in both a finite and an infinite population. The results are established using the elegant formalism of mathematical group theory and are illustrated with an example of a finite population arranged in a cycle with asymmetric offspring dispersal.
@article{taylor2010birthdeath,
abstract = {{Studies of the evolution of a social trait often make ecological assumptions (of population structure, life history), and thus a trait can be studied many different times with different assumptions. Here, I consider a Moran model of continuous reproduction and use an inclusive fitness analysis to investigate the relationships between fecundity or survival selection and birth–death (BD) or death–birth (DB) demography on the evolution of a social trait. A simple symmetry obtains: fecundity (respectively survival) effects under BD behave the same as survival (respectively fecundity) effects under DB. When these results are specialized to a homogeneous population, greatly simplified conditions for a positive inclusive fitness effect are obtained in both a finite and an infinite population. The results are established using the elegant formalism of mathematical group theory and are illustrated with an example of a finite population arranged in a cycle with asymmetric offspring dispersal.}},
added-at = {2024-06-13T06:47:54.000+0200},
author = {Taylor, P.},
biburl = {https://www.bibsonomy.org/bibtex/25d191d876d4232712f4c7ddbe1dd5310/peter.ralph},
doi = {10.1111/j.1420-9101.2010.02122.x},
eprint = {https://academic.oup.com/jeb/article-pdf/23/12/2569/54186982/jevbio2569.pdf},
interhash = {a80721b6f5a1edac6a2938b555eec4c5},
intrahash = {5d191d876d4232712f4c7ddbe1dd5310},
issn = {1010-061X},
journal = {Journal of Evolutionary Biology},
keywords = {birth_death_processes life_cycle trait_evolution},
month = {12},
number = 12,
pages = {2569-2578},
timestamp = {2024-06-13T06:47:54.000+0200},
title = {Birth–death symmetry in the evolution of a social trait},
url = {https://doi.org/10.1111/j.1420-9101.2010.02122.x},
volume = 23,
year = 2010
}