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  • 标题:Modelling polar bear maternity den habitat in east Svalbard
  • 本地全文:下载
  • 作者:Benjamin Merkel ; Jon Aars ; Glen E Liston
  • 期刊名称:Polar Research
  • 印刷版ISSN:1751-8369
  • 出版年度:2020
  • 页码:1-9
  • DOI:10.33265/polar.v39.3447
  • 出版社:Co-Action Publishing
  • 摘要: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.
  • 关键词:Climate change;reproduction;SnowDens-3D;snowdrift model;terrain model;topography
  • 其他关键词:Climate change;reproduction;SnowDens-3D;snowdrift model;terrain model;topograpy
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