Tests of multistate CJS models to estimate survival conditioned on a partially-observed latent state ...

Polar bears (Ursus maritimus) of the Southern Beaufort Sea (SBS) historically spent nearly the entire year on the sea ice but are increasingly using land habitat as sea ice becomes less available seasonally due to climate warming. The U.S. Geological Survey, Alaska Science Center maintains a researc...

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Bibliographic Details
Main Author: Jeffrey F Bromaghin
Format: Article in Journal/Newspaper
Language:unknown
Published: U.S. Geological Survey 2024
Subjects:
Online Access:https://dx.doi.org/10.5066/p142hzlq
https://code.usgs.gov/asc/cjspols-surv/-/tree/v1.0.0
id ftdatacite:10.5066/p142hzlq
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spelling ftdatacite:10.5066/p142hzlq 2024-04-28T08:14:25+00:00 Tests of multistate CJS models to estimate survival conditioned on a partially-observed latent state ... Jeffrey F Bromaghin 2024 xml Other https://dx.doi.org/10.5066/p142hzlq https://code.usgs.gov/asc/cjspols-surv/-/tree/v1.0.0 unknown U.S. Geological Survey survival Cormack-Jolly-Seber mark-recapture models Software article SoftwareSourceCode 2024 ftdatacite https://doi.org/10.5066/p142hzlq 2024-04-02T12:47:05Z Polar bears (Ursus maritimus) of the Southern Beaufort Sea (SBS) historically spent nearly the entire year on the sea ice but are increasingly using land habitat as sea ice becomes less available seasonally due to climate warming. The U.S. Geological Survey, Alaska Science Center maintains a research program on the SBS polar bear subpopulation and one important research question is whether habitat selection during the seasonal open-water period meaningfully influences fitness via annual survival rates. However, data collection for mark-recapture survival rate estimation takes place in the spring when all bears are on the sea ice and habitat selection during the preceding open-water period will only be known for a relatively small number of individuals. Consequently, as an exploratory exercise prior to working with the polar bear data, we evaluate the estimation of survival rates using multistate Cormack-Jolly-Seber mark-recapture models with survival dependent on a state matrix whose values are not all known ... Article in Journal/Newspaper Beaufort Sea Sea ice Ursus maritimus Alaska DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic survival
Cormack-Jolly-Seber mark-recapture models
spellingShingle survival
Cormack-Jolly-Seber mark-recapture models
Jeffrey F Bromaghin
Tests of multistate CJS models to estimate survival conditioned on a partially-observed latent state ...
topic_facet survival
Cormack-Jolly-Seber mark-recapture models
description Polar bears (Ursus maritimus) of the Southern Beaufort Sea (SBS) historically spent nearly the entire year on the sea ice but are increasingly using land habitat as sea ice becomes less available seasonally due to climate warming. The U.S. Geological Survey, Alaska Science Center maintains a research program on the SBS polar bear subpopulation and one important research question is whether habitat selection during the seasonal open-water period meaningfully influences fitness via annual survival rates. However, data collection for mark-recapture survival rate estimation takes place in the spring when all bears are on the sea ice and habitat selection during the preceding open-water period will only be known for a relatively small number of individuals. Consequently, as an exploratory exercise prior to working with the polar bear data, we evaluate the estimation of survival rates using multistate Cormack-Jolly-Seber mark-recapture models with survival dependent on a state matrix whose values are not all known ...
format Article in Journal/Newspaper
author Jeffrey F Bromaghin
author_facet Jeffrey F Bromaghin
author_sort Jeffrey F Bromaghin
title Tests of multistate CJS models to estimate survival conditioned on a partially-observed latent state ...
title_short Tests of multistate CJS models to estimate survival conditioned on a partially-observed latent state ...
title_full Tests of multistate CJS models to estimate survival conditioned on a partially-observed latent state ...
title_fullStr Tests of multistate CJS models to estimate survival conditioned on a partially-observed latent state ...
title_full_unstemmed Tests of multistate CJS models to estimate survival conditioned on a partially-observed latent state ...
title_sort tests of multistate cjs models to estimate survival conditioned on a partially-observed latent state ...
publisher U.S. Geological Survey
publishDate 2024
url https://dx.doi.org/10.5066/p142hzlq
https://code.usgs.gov/asc/cjspols-surv/-/tree/v1.0.0
genre Beaufort Sea
Sea ice
Ursus maritimus
Alaska
genre_facet Beaufort Sea
Sea ice
Ursus maritimus
Alaska
op_doi https://doi.org/10.5066/p142hzlq
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