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;...
Published in: | Polar Research |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Norwegian Polar Institute
2020
|
Subjects: | |
Online Access: | https://doi.org/10.33265/polar.v39.3447 https://doaj.org/article/90f716e02a4e4560a50888ceae79867a |
_version_ | 1821832183604576256 |
---|---|
author | Benjamin Merkel Jon Aars Glen E. Liston |
author_facet | Benjamin Merkel Jon Aars Glen E. Liston |
author_sort | Benjamin Merkel |
collection | Directory of Open Access Journals: DOAJ Articles |
container_issue | 0 |
container_title | Polar Research |
container_volume | 39 |
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 |
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 |
geographic | Arctic Barents Sea Hopen Svalbard |
geographic_facet | Arctic Barents Sea Hopen Svalbard |
id | ftdoajarticles:oai:doaj.org/article:90f716e02a4e4560a50888ceae79867a |
institution | Open Polar |
language | English |
long_lat | ENVELOPE(9.279,9.279,63.379,63.379) |
op_collection_id | ftdoajarticles |
op_doi | https://doi.org/10.33265/polar.v39.3447 |
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_source | Polar Research, Vol 39, Iss 0, Pp 1-9 (2020) |
publishDate | 2020 |
publisher | Norwegian Polar Institute |
record_format | openpolar |
spelling | ftdoajarticles:oai:doaj.org/article:90f716e02a4e4560a50888ceae79867a 2025-01-16T20:37:19+00:00 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 Barents Sea Hopen ENVELOPE(9.279,9.279,63.379,63.379) Svalbard Polar Research 39 0 |
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 |
title | 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_short | Modelling polar bear maternity den habitat in east Svalbard |
title_sort | modelling polar bear maternity den habitat in east svalbard |
topic | climate change reproduction snowdens-3d snowdrift model terrain model topography Environmental sciences GE1-350 Oceanography GC1-1581 |
topic_facet | climate change reproduction snowdens-3d snowdrift model terrain model topography Environmental sciences GE1-350 Oceanography GC1-1581 |
url | https://doi.org/10.33265/polar.v39.3447 https://doaj.org/article/90f716e02a4e4560a50888ceae79867a |