Data from: Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea
Large carnivores are imperiled globally, and characteristics making them vulnerable to extinction (e.g., low densities and expansive ranges) also make it difficult to estimate demographic parameters needed for management. Here we develop an integrated population model to analyze capture-recapture, r...
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ftdryad:oai:v1.datadryad.org:10255/dryad.197183 2023-05-15T14:59:56+02:00 Data from: Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea Regehr, Eric V. Hostetter, Nathan J. Wilson, Ryan R. Rode, Karyn D. St. Martin, Michelle Converse, Sarah J. Arctic Alaska Chukotka Chukchi Sea Arctic Ocean 2018-11-15T20:08:47Z http://hdl.handle.net/10255/dryad.197183 https://doi.org/10.5061/dryad.692jb15 unknown doi:10.5061/dryad.692jb15/1 doi:10.5061/dryad.692jb15/2 doi:10.5061/dryad.692jb15/3 doi:10.5061/dryad.692jb15/4 doi:10.5061/dryad.692jb15/5 doi:10.5061/dryad.692jb15/6 doi:10.5061/dryad.692jb15/7 doi:10.1038/s41598-018-34824-7 doi:10.5061/dryad.692jb15 Regehr EV, Hostetter NJ, Wilson RR, Rode KD, Martin MS, Converse SJ (2018) Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea. Scientific Reports 8(1): 16780. http://hdl.handle.net/10255/dryad.197183 integrated population model polar bear capture-recapture movement abundance vital rates carnivore sea ice climate change Article 2018 ftdryad https://doi.org/10.5061/dryad.692jb15 https://doi.org/10.5061/dryad.692jb15/1 https://doi.org/10.5061/dryad.692jb15/2 https://doi.org/10.5061/dryad.692jb15/3 https://doi.org/10.5061/dryad.692jb15/4 https://doi.org/10.5061/dryad.692jb15/5 https 2020-01-01T16:18:26Z Large carnivores are imperiled globally, and characteristics making them vulnerable to extinction (e.g., low densities and expansive ranges) also make it difficult to estimate demographic parameters needed for management. Here we develop an integrated population model to analyze capture-recapture, radiotelemetry, and count data for the Chukchi Sea subpopulation of polar bears (Ursus maritimus), 2008–2016. Our model addressed several challenges in capture-recapture studies for polar bears by including a multievent structure reflecting location and life history states, while accommodating state uncertainty. Female breeding probability was 0.83 (95% credible interval [CRI] = 0.71–0.90), with litter sizes of 2.18 (95% CRI = 1.71–2.82) for age-zero and 1.61 (95% CRI = 1.46–1.80) for age-one cubs. Total adult survival was 0.90 (95% CRI = 0.86–0.92) for females and 0.89 (95% CRI = 0.83–0.93) for males. Spring on-ice densities west of Alaska were 0.0030 bears/km2 (95% CRI = 0.0016–0.0060), similar to 1980s-era density estimates although methodological differences complicate comparison. Abundance of the Chukchi Sea subpopulation, derived by extrapolating density from the study area using a spatially-explicit habitat metric, was 2,937 bears (95% CRI = 1,552–5,944). Our findings are consistent with other lines of evidence suggesting the Chukchi Sea subpopulation has been productive in recent years, although it is uncertain how long this will continue given sea-ice loss due to climate change. Article in Journal/Newspaper Arctic Arctic Ocean Chukchi Chukchi Sea Chukotka Climate change Sea ice Ursus maritimus Alaska Dryad Digital Repository (Duke University) Arctic Arctic Ocean Chukchi Sea |
institution |
Open Polar |
collection |
Dryad Digital Repository (Duke University) |
op_collection_id |
ftdryad |
language |
unknown |
topic |
integrated population model polar bear capture-recapture movement abundance vital rates carnivore sea ice climate change |
spellingShingle |
integrated population model polar bear capture-recapture movement abundance vital rates carnivore sea ice climate change Regehr, Eric V. Hostetter, Nathan J. Wilson, Ryan R. Rode, Karyn D. St. Martin, Michelle Converse, Sarah J. Data from: Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea |
topic_facet |
integrated population model polar bear capture-recapture movement abundance vital rates carnivore sea ice climate change |
description |
Large carnivores are imperiled globally, and characteristics making them vulnerable to extinction (e.g., low densities and expansive ranges) also make it difficult to estimate demographic parameters needed for management. Here we develop an integrated population model to analyze capture-recapture, radiotelemetry, and count data for the Chukchi Sea subpopulation of polar bears (Ursus maritimus), 2008–2016. Our model addressed several challenges in capture-recapture studies for polar bears by including a multievent structure reflecting location and life history states, while accommodating state uncertainty. Female breeding probability was 0.83 (95% credible interval [CRI] = 0.71–0.90), with litter sizes of 2.18 (95% CRI = 1.71–2.82) for age-zero and 1.61 (95% CRI = 1.46–1.80) for age-one cubs. Total adult survival was 0.90 (95% CRI = 0.86–0.92) for females and 0.89 (95% CRI = 0.83–0.93) for males. Spring on-ice densities west of Alaska were 0.0030 bears/km2 (95% CRI = 0.0016–0.0060), similar to 1980s-era density estimates although methodological differences complicate comparison. Abundance of the Chukchi Sea subpopulation, derived by extrapolating density from the study area using a spatially-explicit habitat metric, was 2,937 bears (95% CRI = 1,552–5,944). Our findings are consistent with other lines of evidence suggesting the Chukchi Sea subpopulation has been productive in recent years, although it is uncertain how long this will continue given sea-ice loss due to climate change. |
format |
Article in Journal/Newspaper |
author |
Regehr, Eric V. Hostetter, Nathan J. Wilson, Ryan R. Rode, Karyn D. St. Martin, Michelle Converse, Sarah J. |
author_facet |
Regehr, Eric V. Hostetter, Nathan J. Wilson, Ryan R. Rode, Karyn D. St. Martin, Michelle Converse, Sarah J. |
author_sort |
Regehr, Eric V. |
title |
Data from: Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea |
title_short |
Data from: Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea |
title_full |
Data from: Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea |
title_fullStr |
Data from: Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea |
title_full_unstemmed |
Data from: Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea |
title_sort |
data from: integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the chukchi sea |
publishDate |
2018 |
url |
http://hdl.handle.net/10255/dryad.197183 https://doi.org/10.5061/dryad.692jb15 |
op_coverage |
Arctic Alaska Chukotka Chukchi Sea Arctic Ocean |
geographic |
Arctic Arctic Ocean Chukchi Sea |
geographic_facet |
Arctic Arctic Ocean Chukchi Sea |
genre |
Arctic Arctic Ocean Chukchi Chukchi Sea Chukotka Climate change Sea ice Ursus maritimus Alaska |
genre_facet |
Arctic Arctic Ocean Chukchi Chukchi Sea Chukotka Climate change Sea ice Ursus maritimus Alaska |
op_relation |
doi:10.5061/dryad.692jb15/1 doi:10.5061/dryad.692jb15/2 doi:10.5061/dryad.692jb15/3 doi:10.5061/dryad.692jb15/4 doi:10.5061/dryad.692jb15/5 doi:10.5061/dryad.692jb15/6 doi:10.5061/dryad.692jb15/7 doi:10.1038/s41598-018-34824-7 doi:10.5061/dryad.692jb15 Regehr EV, Hostetter NJ, Wilson RR, Rode KD, Martin MS, Converse SJ (2018) Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea. Scientific Reports 8(1): 16780. http://hdl.handle.net/10255/dryad.197183 |
op_doi |
https://doi.org/10.5061/dryad.692jb15 https://doi.org/10.5061/dryad.692jb15/1 https://doi.org/10.5061/dryad.692jb15/2 https://doi.org/10.5061/dryad.692jb15/3 https://doi.org/10.5061/dryad.692jb15/4 https://doi.org/10.5061/dryad.692jb15/5 https |
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