A standardized approach to empirically define reliable assignment thresholds and appropriate management categories in deeply introgressed populations.

摘要: Anthropogenic hybridization is recognized as a major threat to the long-term survival of natural populations. While identifying F1 hybrids might be simple, detection older admixed individuals far from trivial and it still debated whether they should targets management. Examples anthropogenic have been described between wolves domestic dogs, with numerous cases detected in Italian wolf population. After selecting appropriate wild reference populations, we used empirical simulated 39-autosomal microsatellite genotypes, Bayesian assignment performance analyses develop workflow detect different levels x dog admixture. Membership proportions cluster (qiw) indexes identified two q-thresholds which allowed efficiently classify analysed genotypes into three classes: pure (with no or negligible ancestry), marginal ancestry) recent clearly detectable animals. Based on their potential spread variants, such classes were define corresponding management categories: operational pure, introgressed hybrid individuals. Our multiple-criteria approach can help wildlife managers decision makers more targeting available resources for conservation species threatened by hybridization.