Data from: Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears
Effective population size (Ne) is a key parameter for monitoring the genetic health of threatened populations because it reflects a population's evolutionary potential and risk of extinction due to genetic stochasticity. However, its application to wildlife monitoring has been limited because i...
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ftdryad:oai:v1.datadryad.org:10255/dryad.97193 2023-05-15T18:42:14+02:00 Data from: Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears Kamath, Pauline L. Haroldson, Mark A. Luikart, Gordon Paetkau, David Whitman, Craig van Manen, Frank T. Yellowstone National Park Greater Yellowstone Ecosystem 2015-09-25T13:36:18Z http://hdl.handle.net/10255/dryad.97193 https://doi.org/10.5061/dryad.s6764 unknown doi:10.5061/dryad.s6764/1 doi:10.5061/dryad.s6764/2 doi:10.1111/mec.13398 PMID:26510936 doi:10.5061/dryad.s6764 Kamath PL, Haroldson MA, Luikart G, Paetkau D, Whitman C, van Manen FT (2015) Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears. Molecular Ecology, 24(22): 5507-5521. http://hdl.handle.net/10255/dryad.97193 Conservation Genetics Genetic Monitoring Effective Population Size Effective Number of Breeders Ne/Nc ratio Population Size wildlife management Article 2015 ftdryad https://doi.org/10.5061/dryad.s6764 https://doi.org/10.5061/dryad.s6764/1 https://doi.org/10.5061/dryad.s6764/2 https://doi.org/10.1111/mec.13398 2020-01-01T15:24:41Z Effective population size (Ne) is a key parameter for monitoring the genetic health of threatened populations because it reflects a population's evolutionary potential and risk of extinction due to genetic stochasticity. However, its application to wildlife monitoring has been limited because it is difficult to measure in natural populations. The isolated and well-studied population of grizzly bears (Ursus arctos) in the Greater Yellowstone Ecosystem provides a rare opportunity to examine the usefulness of different Ne estimators for monitoring. We genotyped 729 Yellowstone grizzly bears using 20 microsatellites and applied three single-sample estimators to examine contemporary trends in generation interval (GI), effective number of breeders (Nb) and Ne during 1982–2007. We also used multisample methods to estimate variance (NeV) and inbreeding Ne (NeI). Single-sample estimates revealed positive trajectories, with over a fourfold increase in Ne (≈100 to 450) and near doubling of the GI (≈8 to 14) from the 1980s to 2000s. NeV (240–319) and NeI (256) were comparable with the harmonic mean single-sample Ne (213) over the time period. Reanalysing historical data, we found NeV increased from ≈80 in the 1910s–1960s to ≈280 in the contemporary population. The estimated ratio of effective to total census size (Ne/Nc) was stable and high (0.42–0.66) compared to previous brown bear studies. These results support independent demographic evidence for Yellowstone grizzly bear population growth since the 1980s. They further demonstrate how genetic monitoring of Ne can complement demographic-based monitoring of Nc and vital rates, providing a valuable tool for wildlife managers. Article in Journal/Newspaper Ursus arctos Dryad Digital Repository (Duke University) Nev ENVELOPE(-6.623,-6.623,62.108,62.108) |
institution |
Open Polar |
collection |
Dryad Digital Repository (Duke University) |
op_collection_id |
ftdryad |
language |
unknown |
topic |
Conservation Genetics Genetic Monitoring Effective Population Size Effective Number of Breeders Ne/Nc ratio Population Size wildlife management |
spellingShingle |
Conservation Genetics Genetic Monitoring Effective Population Size Effective Number of Breeders Ne/Nc ratio Population Size wildlife management Kamath, Pauline L. Haroldson, Mark A. Luikart, Gordon Paetkau, David Whitman, Craig van Manen, Frank T. Data from: Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears |
topic_facet |
Conservation Genetics Genetic Monitoring Effective Population Size Effective Number of Breeders Ne/Nc ratio Population Size wildlife management |
description |
Effective population size (Ne) is a key parameter for monitoring the genetic health of threatened populations because it reflects a population's evolutionary potential and risk of extinction due to genetic stochasticity. However, its application to wildlife monitoring has been limited because it is difficult to measure in natural populations. The isolated and well-studied population of grizzly bears (Ursus arctos) in the Greater Yellowstone Ecosystem provides a rare opportunity to examine the usefulness of different Ne estimators for monitoring. We genotyped 729 Yellowstone grizzly bears using 20 microsatellites and applied three single-sample estimators to examine contemporary trends in generation interval (GI), effective number of breeders (Nb) and Ne during 1982–2007. We also used multisample methods to estimate variance (NeV) and inbreeding Ne (NeI). Single-sample estimates revealed positive trajectories, with over a fourfold increase in Ne (≈100 to 450) and near doubling of the GI (≈8 to 14) from the 1980s to 2000s. NeV (240–319) and NeI (256) were comparable with the harmonic mean single-sample Ne (213) over the time period. Reanalysing historical data, we found NeV increased from ≈80 in the 1910s–1960s to ≈280 in the contemporary population. The estimated ratio of effective to total census size (Ne/Nc) was stable and high (0.42–0.66) compared to previous brown bear studies. These results support independent demographic evidence for Yellowstone grizzly bear population growth since the 1980s. They further demonstrate how genetic monitoring of Ne can complement demographic-based monitoring of Nc and vital rates, providing a valuable tool for wildlife managers. |
format |
Article in Journal/Newspaper |
author |
Kamath, Pauline L. Haroldson, Mark A. Luikart, Gordon Paetkau, David Whitman, Craig van Manen, Frank T. |
author_facet |
Kamath, Pauline L. Haroldson, Mark A. Luikart, Gordon Paetkau, David Whitman, Craig van Manen, Frank T. |
author_sort |
Kamath, Pauline L. |
title |
Data from: Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears |
title_short |
Data from: Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears |
title_full |
Data from: Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears |
title_fullStr |
Data from: Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears |
title_full_unstemmed |
Data from: Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears |
title_sort |
data from: multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to yellowstone grizzly bears |
publishDate |
2015 |
url |
http://hdl.handle.net/10255/dryad.97193 https://doi.org/10.5061/dryad.s6764 |
op_coverage |
Yellowstone National Park Greater Yellowstone Ecosystem |
long_lat |
ENVELOPE(-6.623,-6.623,62.108,62.108) |
geographic |
Nev |
geographic_facet |
Nev |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_relation |
doi:10.5061/dryad.s6764/1 doi:10.5061/dryad.s6764/2 doi:10.1111/mec.13398 PMID:26510936 doi:10.5061/dryad.s6764 Kamath PL, Haroldson MA, Luikart G, Paetkau D, Whitman C, van Manen FT (2015) Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears. Molecular Ecology, 24(22): 5507-5521. http://hdl.handle.net/10255/dryad.97193 |
op_doi |
https://doi.org/10.5061/dryad.s6764 https://doi.org/10.5061/dryad.s6764/1 https://doi.org/10.5061/dryad.s6764/2 https://doi.org/10.1111/mec.13398 |
_version_ |
1766231867897413632 |