ArticleEcology and evolution2015
Single nucleotide polymorphism-based dispersal estimates using noninvasive sampling.
Article in Ecology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Development of a SNP Amplicon Panel for Invasive Deer Faecal Pellets and the Effects of Environmental Exposure on Genotyping Success.Ecology and evolution · 2026Article
- Rivers constrain female but not male dispersal and genetic structure in brown bears.Scientific reports · 2026Article
- Development of High-Throughput Genomic Resources to Inform White-Tailed Deer Population and Disease Management.Molecular ecology resources · 2026Article
- Development of a cost-effective, multifunctional SNP panel and analysis workflow for Wolf monitoring in Finland.Scientific reports · 2025Article
- Species-specific SNP arrays for non-invasive genetic monitoring of a vulnerable bat.Scientific reports · 2024Article
- Estimation of breeding population size using DNA-based pedigree reconstruction in brown bears.Ecology and evolution · 2022Article
- A reduced SNP panel to trace gene flow across southern European wolf populations and detect hybridization with other Canis taxa.Scientific reports · 2022Article
- Genomic approaches to identify hybrids and estimate admixture times in European wildcat populations.Scientific reports · 2019Article
- Article
- Genetic and genomic monitoring with minimally invasive sampling methods.Evolutionary applications · 2018Article
- Discovery of SNPs for individual identification by reduced representation sequencing of moose (Alces alces).PloS one · 2018Article
- Non-invasive genetic monitoring involving citizen science enables reconstruction of current pack dynamics in a re-establishing wolf population.BMC ecology · 2017Article
- Assessing SNP genotyping of noninvasively collected wildlife samples using microfluidic arrays.Scientific reports · 2017Article
- Disentangling Timing of Admixture, Patterns of Introgression, and Phenotypic Indicators in a Hybridizing Wolf Population.Molecular biology and evolution · 2017Article
- Novel efficient genome-wide SNP panels for the conservation of the highly endangered Iberian lynx.BMC genomics · 2017Article
- Habitat-performance relationships of a large mammal on a predator-free island dominated by humans.Ecology and evolution · 2017Article
- Strategies for determining kinship in wild populations using genetic data.Ecology and evolution · 2016Review
- Estimating population size using single-nucleotide polymorphism-based pedigree data.Ecology and evolution · 2016Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Quantifying dispersal within wild populations is an important but challenging task. Here we present a method to estimate contemporary, individual-based dispersal distance from noninvasively collected samples using a specialized panel of 96 SNPs (single nucleotide polymorphisms). One main issue in conducting dispersal studies is the requirement for a high sampling resolution at a geographic scale appropriate for capturing the majority of dispersal events. In this study, fecal samples of brown bear (Ursus arctos) were collected by volunteer citizens, resulting in a high sampling resolution spanning over 45,000 km(2) in Gävleborg and Dalarna counties in Sweden. SNP genotypes were obtained for unique individuals sampled (n = 433) and subsequently used to reconstruct pedigrees. A Mantel test for isolation by distance suggests that the sampling scale was appropriate for females but not for males, which are known to disperse long distances. Euclidean distance was estimated between mother and offspring pairs identified through the reconstructed pedigrees. The mean dispersal distance was 12.9 km (SE 3.2) and 33.8 km (SE 6.8) for females and males, respectively. These results were significantly different (Wilcoxon's rank-sum test: P-value = 0.02) and are in agreement with the previously identified pattern of male-biased dispersal. Our results illustrate the potential of using a combination of noninvasively collected samples at high resolution and specialized SNPs for pedigree-based dispersal models.
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