Spatial pattern and genetic diversity estimates are linked in stochastic models of population differentiation

In the present study, we used both simulations and real data set analyses t o show that, under stochastic processes of population differentiation, the concepts of spatial heterogeneity and spatial pattern overlap. In these pro cesses, the proportion of variation among and within a population (measured by G(ST) and 1-G(ST), respectively) is correlated with the slope and inter cept of a Mantel's test relating genetic and geographic distances. Beyond t he conceptual interest, the inspection of the relationship between populati on heterogeneity and spatial pattern can be used to test departures from st ochasticity in the study of population differentiation.