0000000000326827
AUTHOR
Robert C. Brooks
Quantifying male attractiveness
Genetic models of sexual selection are concerned with a dynamic process in which female preference and male trait values coevolve. We present a rigorous method for characterizing evolutionary endpoints of this process in phenotypic terms. In our phenotypic characterization the mate-choice strategy of female population members determines how attractive females should find each male, and a population is evolutionarily stable if population members are actually behaving in this way. This provides a justification of phenotypic explanations of sexual selection and the insights into sexual selection that they provide. Furthermore, the phenotypic approach also has enormous advantages over a genetic…
Effects of gender inequality and wealth inequality on within-sex mating competition under hypergyny
Resources are often central to the formation and persistence of human consortships, and to the evolutionary fitness consequences of those consortships. As a result, the distribution of resources within a society should influence the number and quality of mating opportunities an individual of given status/wealth experiences. In particular, in a wide variety of societies, both contemporary and historic, women have been shown to prefer mates of higher rather than lower status and wealth, a pattern known as ‘hypergyny’. Such status-dependent within-sex competition is influenced not only by the preferences individuals express but also by the distribution of resources within and between sexes. Em…
Debating Sexual Selection and Mating Strategies
Published at full length with the title 'Reproductive behaviour: sexual selection remains the best explanation' in Science E-letters, 6 April 2006
Effects of gender inequality and wealth inequality on within-sex mating competition under hypergyny
Documentation of code used for MS: "Effects of gender inequality and wealth inequality on within-sex mating competition under hypergyny", published in Evolution and Human Behavior. https://doi.org/10.1016/j.evolhumbehav.2022.08.006 1. Overview The code provided is Matlab code. The function 'iteratedmatching.m' contains the main code for the simulation. When contained in the same folder (along with its sub-functions 'pickcandidates.m' and 'vectperm.m'), this code can be called from the scripts Figure_1.m, Figure_2.m etc. to produce the figures. 2. File list __________ Title: Main code File name: iteratedmatching.m Description: Main code for running simulations of iterative partner matching T…