Probabilistic analysis of a genealogical model of animal group patterns.
Many social animals live in stable groups, and it has been argued that kinship plays a major role in their group formation process. In this study we present the mathematical analysis of a recent model which uses kinship as a main factor to explain observed group patterns in a finite sample of individuals. We describe the average number of groups and the probability distribution of group sizes predicted by this model. Our method is based on the study of recursive equations underlying these quantities. We obtain asymptotic equivalents for probability distributions and moments as the sample size increases, and we exhibit power-law behaviours. Computer simulations are also utilized to measure the extent to which the asymptotic approximation can be applied with confidence.
TIMB Group of Mathematical Biology, TIMC UMR 5525, Fac. Méd., Grenoble Universités, La Tronche Cedex, France. eric.durand@imag.fr
Eric
E
Durand
Olivier
O
François
D000818:Animals; D001522:Behavior, Animal; D004606:Elephants; D005190:Family; D008957:Models, Genetic; D009716:Numerical Analysis, Computer-Assisted; D011157:Population Dynamics