Modelling polar bear maternity den habitat in east Svalbard

We evaluated a novel tool that predicts possible maternity den habitat of the polar bear (Ursus maritimus) based on a physical snow transport model, a digital terrain model and weather data. We observed and compared den locations in three important denning areas in east Svalbard (Kongsøya,n= 288; Sv...

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Published in:Polar Research
Main Authors: Merkel, Benjamin, Aars, Jon, Liston, Glen E
Format: Article in Journal/Newspaper
Language:English
Published: Norwegian Polar Institute 2020
Subjects:
Online Access:https://polarresearch.net/index.php/polar/article/view/3447
https://doi.org/10.33265/polar.v39.3447
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spelling ftjpolarres:oai:journals.openacademia.net:article/3447 2023-05-15T15:05:40+02:00 Modelling polar bear maternity den habitat in east Svalbard Merkel, Benjamin Aars, Jon Liston, Glen E 2020-03-24 text/html application/pdf application/epub+zip text/xml https://polarresearch.net/index.php/polar/article/view/3447 https://doi.org/10.33265/polar.v39.3447 eng eng Norwegian Polar Institute https://polarresearch.net/index.php/polar/article/view/3447/10245 https://polarresearch.net/index.php/polar/article/view/3447/10243 https://polarresearch.net/index.php/polar/article/view/3447/10244 https://polarresearch.net/index.php/polar/article/view/3447/10246 https://polarresearch.net/index.php/polar/article/view/3447/10134 https://polarresearch.net/index.php/polar/article/view/3447 doi:10.33265/polar.v39.3447 Polar Research; Vol 39 (2020) 1751-8369 Climate change reproduction SnowDens-3D snowdrift model terrain model topograpy info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2020 ftjpolarres https://doi.org/10.33265/polar.v39.3447 2021-11-11T19:14:21Z We evaluated a novel tool that predicts possible maternity den habitat of the polar bear (Ursus maritimus) based on a physical snow transport model, a digital terrain model and weather data. We observed and compared den locations in three important denning areas in east Svalbard (Kongsøya,n= 288; Svenskøya,n= 86; Hopen,n= 115) with modelled snowdrift distributions for 24 years. Accounting for a likely position uncertainty of 100 m, 69% of all dens were located within year-specific modelled snowdrifts. These covered on average 1.8%, 2.1% and 24.7% of the three study islands, respectively. Our snowdrift model accurately predicted maternity den positions (R2= 0.42, area under the receiving operating characteristic curve [AUC] = 0.85). A model based on slope and altitude, also predicted den positions reasonably well (R2= 0.35, AUC = 0.88). Habitat maps identifying both current and future areas for maternity denning will become important in managing the Barents Sea population as well as other Arctic populations where changes in sea-ice conditions alter the accessibility to traditional denning areas. Article in Journal/Newspaper Arctic Barents Sea Climate change Hopen Kongsøya Kongsøya Polar Research Sea ice Svalbard Svenskøya Ursus maritimus Hopen Polar Research (E-Journal) Arctic Barents Sea Hopen ENVELOPE(9.279,9.279,63.379,63.379) Svalbard Polar Research 39 0
institution Open Polar
collection Polar Research (E-Journal)
op_collection_id ftjpolarres
language English
topic Climate change
reproduction
SnowDens-3D
snowdrift model
terrain model
topograpy
spellingShingle Climate change
reproduction
SnowDens-3D
snowdrift model
terrain model
topograpy
Merkel, Benjamin
Aars, Jon
Liston, Glen E
Modelling polar bear maternity den habitat in east Svalbard
topic_facet Climate change
reproduction
SnowDens-3D
snowdrift model
terrain model
topograpy
description We evaluated a novel tool that predicts possible maternity den habitat of the polar bear (Ursus maritimus) based on a physical snow transport model, a digital terrain model and weather data. We observed and compared den locations in three important denning areas in east Svalbard (Kongsøya,n= 288; Svenskøya,n= 86; Hopen,n= 115) with modelled snowdrift distributions for 24 years. Accounting for a likely position uncertainty of 100 m, 69% of all dens were located within year-specific modelled snowdrifts. These covered on average 1.8%, 2.1% and 24.7% of the three study islands, respectively. Our snowdrift model accurately predicted maternity den positions (R2= 0.42, area under the receiving operating characteristic curve [AUC] = 0.85). A model based on slope and altitude, also predicted den positions reasonably well (R2= 0.35, AUC = 0.88). Habitat maps identifying both current and future areas for maternity denning will become important in managing the Barents Sea population as well as other Arctic populations where changes in sea-ice conditions alter the accessibility to traditional denning areas.
format Article in Journal/Newspaper
author Merkel, Benjamin
Aars, Jon
Liston, Glen E
author_facet Merkel, Benjamin
Aars, Jon
Liston, Glen E
author_sort Merkel, Benjamin
title Modelling polar bear maternity den habitat in east Svalbard
title_short Modelling polar bear maternity den habitat in east Svalbard
title_full Modelling polar bear maternity den habitat in east Svalbard
title_fullStr Modelling polar bear maternity den habitat in east Svalbard
title_full_unstemmed Modelling polar bear maternity den habitat in east Svalbard
title_sort modelling polar bear maternity den habitat in east svalbard
publisher Norwegian Polar Institute
publishDate 2020
url https://polarresearch.net/index.php/polar/article/view/3447
https://doi.org/10.33265/polar.v39.3447
long_lat ENVELOPE(9.279,9.279,63.379,63.379)
geographic Arctic
Barents Sea
Hopen
Svalbard
geographic_facet Arctic
Barents Sea
Hopen
Svalbard
genre Arctic
Barents Sea
Climate change
Hopen
Kongsøya
Kongsøya
Polar Research
Sea ice
Svalbard
Svenskøya
Ursus maritimus
Hopen
genre_facet Arctic
Barents Sea
Climate change
Hopen
Kongsøya
Kongsøya
Polar Research
Sea ice
Svalbard
Svenskøya
Ursus maritimus
Hopen
op_source Polar Research; Vol 39 (2020)
1751-8369
op_relation https://polarresearch.net/index.php/polar/article/view/3447/10245
https://polarresearch.net/index.php/polar/article/view/3447/10243
https://polarresearch.net/index.php/polar/article/view/3447/10244
https://polarresearch.net/index.php/polar/article/view/3447/10246
https://polarresearch.net/index.php/polar/article/view/3447/10134
https://polarresearch.net/index.php/polar/article/view/3447
doi:10.33265/polar.v39.3447
op_doi https://doi.org/10.33265/polar.v39.3447
container_title Polar Research
container_volume 39
container_issue 0
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