Sexual selection theory predicts that because male reproductive success in
mammals is limited by access to females, males will attempt to defend
access to mates and exclude rivals from mating. In mammals, dominance rank
is correlated with male reproductive success; however, the highest-ranking
(alpha) male rarely monopolizes reproduction completely. To explain why,
incomplete control models propose that alpha males simply cannot control
other males' access to mates. If true, then dominance rank should be
a key factor influencing subordinate (non-alpha) male mating success.
Alternatively, the concession model states that alpha males can prevent
other males from gaining access to mates but posits that they concede
matings to subordinates in exchange for social favours. This predicts that
a male's grooming interactions with the alpha should mediate his
access to females. We test these predictions using 36 years of data,
encompassing the tenures of eight alpha male chimpanzees at Gombe National
Park, Tanzania. Incomplete control models were most strongly supported. At
a given copulation event, the probability that the alpha was the male that
mated was negatively associated with the number of males and sexually
receptive females in the party. Additionally, as the number of males
increased, high dominance rank was associated with an increased likelihood
that a particular non-alpha male mated. The concession model, however, was
also supported. The amount of time a male spent grooming with the alpha
was positively associated with his likelihood of mating when the alpha was
present in the party. As grooming is a major affiliative component of male
social relationships, our results suggest that social bonds with dominant
individuals are leveraged for mating access, particularly in species in
which males form coalitions. R
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image.Bray_Proceedings
B_Analysis.RData Tables and Model
OutputsThis is an .RData image
with the data tables used in the statistical models. It also includes the
model output objects. This is to be used alongside the R
script.Bray_Proceedings
B_Data.RData