Single nucleotide polymorphism‐based dispersal estimates using noninvasive sampling

摘要: Quantifying dispersal within wild populations is an important but challenging task. Here we present a method to estimate contemporary, individual-based distance from noninvasively collected samples using specialized panel of 96 SNPs (single nucleotide polymorphisms). One main issue in conducting studies the requirement for high sampling resolution at geographic scale appropriate capturing majority events. In this study, fecal brown bear (Ursus arctos) were by volunteer citizens, resulting spanning over 45,000 km(2) Gavleborg and Dalarna counties Sweden. SNP genotypes obtained unique individuals sampled (n = 433) subsequently used reconstruct pedigrees. A Mantel test isolation suggests that was females not males, which are known disperse long distances. Euclidean estimated between mother offspring pairs identified through reconstructed The mean 12.9 km (SE 3.2) 33.8 km 6.8) respectively. These results significantly different (Wilcoxon's rank-sum test: P-value = 0.02) agreement with previously pattern male-biased dispersal. Our illustrate potential combination pedigree-based models.