Genetic admixture between wild and introduced populations is a rising concern for the management of endangered species. Here we use a dual approach based on molecular analyses of samples collected before and after hatchery fish introduction in combination with a simulation study to get insight into the mechanisms of admixture in wild populations. Using 17 microsatellites we genotyped pre- and post-stocking samples from four Atlantic salmon populations supplemented with non-native fish to estimate genetic admixture. We also used individual-based temporally explicit simulations based on realistic demographic and stocking data to predict the extent of admixture. We found a low admixture by hatchery stocks within pre-stocking samples but moderate to high values in post-stocking samples (from 12 % to 60 %). The simulation scenarios best fitting the real data suggested a 10 to 25 times lower survival of stocked fish relative to wild individuals. Simulations also suggested relatively high dispersal rates of stocked and wild fish, which may explain some high levels of admixture in weakly stocked populations and the persistence of indigenous genotypes in heavily stocked populations. This study overall demonstrates that combining genetic analyses with simulations can significantly improve the understanding of admixture mechanisms in wild populations.

dataGenotypes of the individuals, ordered by rivers and cohorts.