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...
Main Author: | |
---|---|
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 |
---|---|
record_format |
openpolar |
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 |
_version_ |
1797580487512817664 |