Bayesian estimation of individual fecundities and pollen dispersal kernel from microsatellite data on seeds and adult trees.
MEMM implements a Bayesian statistic method first presented in Klein et al. (2008). It estimates the pollen dispersal function and the variance in male fecundity on the basis of spatial information (positions of sampled plants, positions of all putative fathers in the study plot) and genetic information (genotypes of the sampled plants, putative fathers and sampled seeds).
Klein et al. (2011) investigates the performance of the method on simulated datasets and illustrate how neglecting the random component in male fecundity can lead to erroneous conclusions.
Sont distribués les executables pour MSWindows et MAC, le source est disponible sur demande.