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;...
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Norwegian Polar Institute
2020
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Online Access: | https://doi.org/10.33265/polar.v39.3447 https://doaj.org/article/90f716e02a4e4560a50888ceae79867a |
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ftdoajarticles:oai:doaj.org/article:90f716e02a4e4560a50888ceae79867a 2023-05-15T15:05:21+02:00 Modelling polar bear maternity den habitat in east Svalbard Benjamin Merkel Jon Aars Glen E. Liston 2020-03-01T00:00:00Z https://doi.org/10.33265/polar.v39.3447 https://doaj.org/article/90f716e02a4e4560a50888ceae79867a EN eng Norwegian Polar Institute https://polarresearch.net/index.php/polar/article/view/3447/10243 https://doaj.org/toc/1751-8369 1751-8369 doi:10.33265/polar.v39.3447 https://doaj.org/article/90f716e02a4e4560a50888ceae79867a Polar Research, Vol 39, Iss 0, Pp 1-9 (2020) climate change reproduction snowdens-3d snowdrift model terrain model topography Environmental sciences GE1-350 Oceanography GC1-1581 article 2020 ftdoajarticles https://doi.org/10.33265/polar.v39.3447 2022-12-31T00:54:12Z 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 Directory of Open Access Journals: DOAJ Articles Arctic Svalbard Barents Sea Hopen ENVELOPE(9.279,9.279,63.379,63.379) Polar Research 39 0 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
climate change reproduction snowdens-3d snowdrift model terrain model topography Environmental sciences GE1-350 Oceanography GC1-1581 |
spellingShingle |
climate change reproduction snowdens-3d snowdrift model terrain model topography Environmental sciences GE1-350 Oceanography GC1-1581 Benjamin Merkel Jon Aars Glen E. Liston Modelling polar bear maternity den habitat in east Svalbard |
topic_facet |
climate change reproduction snowdens-3d snowdrift model terrain model topography Environmental sciences GE1-350 Oceanography GC1-1581 |
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 |
Benjamin Merkel Jon Aars Glen E. Liston |
author_facet |
Benjamin Merkel Jon Aars Glen E. Liston |
author_sort |
Benjamin Merkel |
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://doi.org/10.33265/polar.v39.3447 https://doaj.org/article/90f716e02a4e4560a50888ceae79867a |
long_lat |
ENVELOPE(9.279,9.279,63.379,63.379) |
geographic |
Arctic Svalbard Barents Sea Hopen |
geographic_facet |
Arctic Svalbard Barents Sea Hopen |
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, Iss 0, Pp 1-9 (2020) |
op_relation |
https://polarresearch.net/index.php/polar/article/view/3447/10243 https://doaj.org/toc/1751-8369 1751-8369 doi:10.33265/polar.v39.3447 https://doaj.org/article/90f716e02a4e4560a50888ceae79867a |
op_doi |
https://doi.org/10.33265/polar.v39.3447 |
container_title |
Polar Research |
container_volume |
39 |
container_issue |
0 |
_version_ |
1766337063409418240 |