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Estimating Grizzly and Black Bear Population Abundance and Trend in Banff National Park Using Noninvasive Genetic Sampling
We evaluated the potential of two noninvasive genetic sampling methods, hair traps and bear rub surveys, to estimate population abundance and trend of grizzly (Ursus arctos) and black bear (U. americanus) populations in Banff National Park, Alberta, Canada. Using Huggins closed population mark-recap...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3342321/ https://www.ncbi.nlm.nih.gov/pubmed/22567089 http://dx.doi.org/10.1371/journal.pone.0034777 |
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author | Sawaya, Michael A. Stetz, Jeffrey B. Clevenger, Anthony P. Gibeau, Michael L. Kalinowski, Steven T. |
author_facet | Sawaya, Michael A. Stetz, Jeffrey B. Clevenger, Anthony P. Gibeau, Michael L. Kalinowski, Steven T. |
author_sort | Sawaya, Michael A. |
collection | PubMed |
description | We evaluated the potential of two noninvasive genetic sampling methods, hair traps and bear rub surveys, to estimate population abundance and trend of grizzly (Ursus arctos) and black bear (U. americanus) populations in Banff National Park, Alberta, Canada. Using Huggins closed population mark-recapture models, we obtained the first precise abundance estimates for grizzly bears ([Image: see text] = 73.5, 95% CI = 64–94 in 2006; [Image: see text] = 50.4, 95% CI = 49–59 in 2008) and black bears ([Image: see text] = 62.6, 95% CI = 51–89 in 2006; [Image: see text] = 81.8, 95% CI = 72–102 in 2008) in the Bow Valley. Hair traps had high detection rates for female grizzlies, and male and female black bears, but extremely low detection rates for male grizzlies. Conversely, bear rubs had high detection rates for male and female grizzlies, but low rates for black bears. We estimated realized population growth rates, lambda, for grizzly bear males ([Image: see text] = 0.93, 95% CI = 0.74–1.17) and females ([Image: see text] = 0.90, 95% CI = 0.67–1.20) using Pradel open population models with three years of bear rub data. Lambda estimates are supported by abundance estimates from combined hair trap/bear rub closed population models and are consistent with a system that is likely driven by high levels of human-caused mortality. Our results suggest that bear rub surveys would provide an efficient and powerful means to inventory and monitor grizzly bear populations in the Central Canadian Rocky Mountains. |
format | Online Article Text |
id | pubmed-3342321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33423212012-05-07 Estimating Grizzly and Black Bear Population Abundance and Trend in Banff National Park Using Noninvasive Genetic Sampling Sawaya, Michael A. Stetz, Jeffrey B. Clevenger, Anthony P. Gibeau, Michael L. Kalinowski, Steven T. PLoS One Research Article We evaluated the potential of two noninvasive genetic sampling methods, hair traps and bear rub surveys, to estimate population abundance and trend of grizzly (Ursus arctos) and black bear (U. americanus) populations in Banff National Park, Alberta, Canada. Using Huggins closed population mark-recapture models, we obtained the first precise abundance estimates for grizzly bears ([Image: see text] = 73.5, 95% CI = 64–94 in 2006; [Image: see text] = 50.4, 95% CI = 49–59 in 2008) and black bears ([Image: see text] = 62.6, 95% CI = 51–89 in 2006; [Image: see text] = 81.8, 95% CI = 72–102 in 2008) in the Bow Valley. Hair traps had high detection rates for female grizzlies, and male and female black bears, but extremely low detection rates for male grizzlies. Conversely, bear rubs had high detection rates for male and female grizzlies, but low rates for black bears. We estimated realized population growth rates, lambda, for grizzly bear males ([Image: see text] = 0.93, 95% CI = 0.74–1.17) and females ([Image: see text] = 0.90, 95% CI = 0.67–1.20) using Pradel open population models with three years of bear rub data. Lambda estimates are supported by abundance estimates from combined hair trap/bear rub closed population models and are consistent with a system that is likely driven by high levels of human-caused mortality. Our results suggest that bear rub surveys would provide an efficient and powerful means to inventory and monitor grizzly bear populations in the Central Canadian Rocky Mountains. Public Library of Science 2012-05-02 /pmc/articles/PMC3342321/ /pubmed/22567089 http://dx.doi.org/10.1371/journal.pone.0034777 Text en Sawaya et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Sawaya, Michael A. Stetz, Jeffrey B. Clevenger, Anthony P. Gibeau, Michael L. Kalinowski, Steven T. Estimating Grizzly and Black Bear Population Abundance and Trend in Banff National Park Using Noninvasive Genetic Sampling |
title | Estimating Grizzly and Black Bear Population Abundance and Trend in Banff National Park Using Noninvasive Genetic Sampling |
title_full | Estimating Grizzly and Black Bear Population Abundance and Trend in Banff National Park Using Noninvasive Genetic Sampling |
title_fullStr | Estimating Grizzly and Black Bear Population Abundance and Trend in Banff National Park Using Noninvasive Genetic Sampling |
title_full_unstemmed | Estimating Grizzly and Black Bear Population Abundance and Trend in Banff National Park Using Noninvasive Genetic Sampling |
title_short | Estimating Grizzly and Black Bear Population Abundance and Trend in Banff National Park Using Noninvasive Genetic Sampling |
title_sort | estimating grizzly and black bear population abundance and trend in banff national park using noninvasive genetic sampling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3342321/ https://www.ncbi.nlm.nih.gov/pubmed/22567089 http://dx.doi.org/10.1371/journal.pone.0034777 |
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