Data from: Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches
The effective population size (Ne) could be the ideal parameter for monitoring populations of conservation concern as it conveniently summarizes both the evolutionary potential of the population and its sensitivity to genetic stochasticity. However, tracing its change through time is difficult in na...
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ftdryad:oai:v1.datadryad.org:10255/dryad.36109 2023-05-15T18:42:12+02:00 Data from: Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches Skrbinšek, Tomaž Jelenčič, Maja Waits, Lisette Kos, Ivan Jerina, Klemen Trontelj, Peter Slovenia 45°29'N - 46°32'N 13°44'E - 15°25'E Holocene 2011-11-18T18:47:22Z http://hdl.handle.net/10255/dryad.36109 https://doi.org/10.5061/dryad.22rm1728 unknown doi:10.5061/dryad.22rm1728/1 doi:10.1111/j.1365-294X.2011.05423.x PMID:22229706 doi:10.5061/dryad.22rm1728 Skrbinšek T, Jelenčič M, Waits L, Kos I, Jerina K, Trontelj P (2012) Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches. Molecular Ecology 21(4): 862-875. http://hdl.handle.net/10255/dryad.36109 Conservation Genetics Genetic Monitoring Population Genetics - Empirical Population Dynamics Wildlife Management Effective Population Size Article 2011 ftdryad https://doi.org/10.5061/dryad.22rm1728 https://doi.org/10.5061/dryad.22rm1728/1 https://doi.org/10.1111/j.1365-294X.2011.05423.x 2020-01-01T14:54:48Z The effective population size (Ne) could be the ideal parameter for monitoring populations of conservation concern as it conveniently summarizes both the evolutionary potential of the population and its sensitivity to genetic stochasticity. However, tracing its change through time is difficult in natural populations. We applied four new methods for estimating Ne from a single sample of genotypes to trace temporal change in Ne for bears in the Northern Dinaric Mountains. We genotyped 510 bears using 20 microsatellite loci, and determined their age. The samples were organized into cohorts with regard to the year when the animals were born and yearly samples with age categories for every year when they were alive. We used the Estimator by Parentage Assignment (EPA) to directly estimate both Ne and generation interval for each yearly sample. For cohorts, we estimated the effective number of breeders (Nb) using Linkage Disequilibrium, Sibship Assignment and Approximate Bayesian Computation methods, and extrapolated these estimates to Ne using the generation interval. The Ne estimate by EPA is 276 (183-350 95% CI), meeting the inbreeding-avoidance criterion of Ne > 50 but short of the long-term minimum viable population goal of Ne > 500. The results obtained by the other methods are highly consistent with this result, and all indicate a rapid increase in Ne probably in the late 1990s and early 2000s. The new single-sample approaches to estimation of Ne provide efficient means for including Ne in monitoring frameworks, and will be of great importance for future management and conservation. Article in Journal/Newspaper Ursus arctos Dryad Digital Repository (Duke University) |
institution |
Open Polar |
collection |
Dryad Digital Repository (Duke University) |
op_collection_id |
ftdryad |
language |
unknown |
topic |
Conservation Genetics Genetic Monitoring Population Genetics - Empirical Population Dynamics Wildlife Management Effective Population Size |
spellingShingle |
Conservation Genetics Genetic Monitoring Population Genetics - Empirical Population Dynamics Wildlife Management Effective Population Size Skrbinšek, Tomaž Jelenčič, Maja Waits, Lisette Kos, Ivan Jerina, Klemen Trontelj, Peter Data from: Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches |
topic_facet |
Conservation Genetics Genetic Monitoring Population Genetics - Empirical Population Dynamics Wildlife Management Effective Population Size |
description |
The effective population size (Ne) could be the ideal parameter for monitoring populations of conservation concern as it conveniently summarizes both the evolutionary potential of the population and its sensitivity to genetic stochasticity. However, tracing its change through time is difficult in natural populations. We applied four new methods for estimating Ne from a single sample of genotypes to trace temporal change in Ne for bears in the Northern Dinaric Mountains. We genotyped 510 bears using 20 microsatellite loci, and determined their age. The samples were organized into cohorts with regard to the year when the animals were born and yearly samples with age categories for every year when they were alive. We used the Estimator by Parentage Assignment (EPA) to directly estimate both Ne and generation interval for each yearly sample. For cohorts, we estimated the effective number of breeders (Nb) using Linkage Disequilibrium, Sibship Assignment and Approximate Bayesian Computation methods, and extrapolated these estimates to Ne using the generation interval. The Ne estimate by EPA is 276 (183-350 95% CI), meeting the inbreeding-avoidance criterion of Ne > 50 but short of the long-term minimum viable population goal of Ne > 500. The results obtained by the other methods are highly consistent with this result, and all indicate a rapid increase in Ne probably in the late 1990s and early 2000s. The new single-sample approaches to estimation of Ne provide efficient means for including Ne in monitoring frameworks, and will be of great importance for future management and conservation. |
format |
Article in Journal/Newspaper |
author |
Skrbinšek, Tomaž Jelenčič, Maja Waits, Lisette Kos, Ivan Jerina, Klemen Trontelj, Peter |
author_facet |
Skrbinšek, Tomaž Jelenčič, Maja Waits, Lisette Kos, Ivan Jerina, Klemen Trontelj, Peter |
author_sort |
Skrbinšek, Tomaž |
title |
Data from: Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches |
title_short |
Data from: Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches |
title_full |
Data from: Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches |
title_fullStr |
Data from: Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches |
title_full_unstemmed |
Data from: Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches |
title_sort |
data from: monitoring the effective population size of a brown bear (ursus arctos) population using new single-sample approaches |
publishDate |
2011 |
url |
http://hdl.handle.net/10255/dryad.36109 https://doi.org/10.5061/dryad.22rm1728 |
op_coverage |
Slovenia 45°29'N - 46°32'N 13°44'E - 15°25'E Holocene |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_relation |
doi:10.5061/dryad.22rm1728/1 doi:10.1111/j.1365-294X.2011.05423.x PMID:22229706 doi:10.5061/dryad.22rm1728 Skrbinšek T, Jelenčič M, Waits L, Kos I, Jerina K, Trontelj P (2012) Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches. Molecular Ecology 21(4): 862-875. http://hdl.handle.net/10255/dryad.36109 |
op_doi |
https://doi.org/10.5061/dryad.22rm1728 https://doi.org/10.5061/dryad.22rm1728/1 https://doi.org/10.1111/j.1365-294X.2011.05423.x |
_version_ |
1766231825231904768 |