Modeling polar bear (Ursus maritimus) snowdrift den habitat on Alaska's Beaufort Sea coast using SnowDens-3D and ArcticDEM data

• The SnowDens-3D snowdrift model was used to simulate annual polar bear den habitat. • The model correctly identified den habitat for 98% of dens observed in 2000–2017. • High resolution (2 m) ArcticDEM data can be used for den habitat simulations. • However, ArcticDEM anomalies must be removed before using the data in simulations. • Simulating polar bear den habitat can guide efforts to minimize den disturbance. Pregnant polar bears ( Ursus maritimus ) excavate maternal dens in seasonal snowdrifts during fall along Alaska's Beaufort Sea coast to shelter their altricial young during birth and development. With recent sea ice decreases, bears are denning more frequently on land. Each year, the weather and blowing-snow conditions control the creation of snowdrifts across the landscape. Therefore, available snowdrift den habitat can vary widely from one year to the next, depending on the late fall and early winter air temperature, snowfall, and wind speed and direction. We implemented a physics-based, spatiotemporal, polar bear snowdrift den habitat model (SnowDens-3D) across the eastern Alaska Beaufort Sea coast (an area of approximately 17,000 km 2 ). High-resolution (2.0 m) topography data were provided by the ArcticDEM, and daily meteorological forcings were provided by NASA's MERRA-2 reanalysis. In many areas across the Arctic Alaska simulation domain, the raw ArcticDEM data contained physically unrealistic topographic anomalies (bumps and depressions) of similar magnitude (± 1.5 m) to the topographic variations that underlie potential den habitat (height differences of approximately 1.5 m). To create an ArcticDEM dataset for this den habitat model, considerable pre-processing of the ArcticDEM data was required; we implemented numerous filters to remove the topographic anomalies while preserving those topographic features capable of creating snowdrifts deep enough to provide viable polar bear den habitat. A 21-year (2000–2020) SnowDens-3D simulation was performed, and model outputs were compared with 91 historical polar bear den locations. The year-specific simulations identified viable den habitat for 98% of the observed den locations. The interannual variation in den habitat area over the 21-year period ranged by approximately a factor of three from the minimum year (2001; 554 km 2 ) to the maximum year (2017; 1,566 km 2 ). The ability to identify viable polar bear snowdrift den habitat in near-real time, as demonstrated here, will help wildlife managers and industry personnel identify potential polar bear maternity den sites and minimize disturbance to occupied dens.

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Publication Details

Journal
Ecological Modelling
Published
2024-12-18
DOI
https://doi.org/10.1016/j.ecolmodel.2024.110939
Citations
5
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
1.88
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article

Modeling polar bear (Ursus maritimus) snowdrift den habitat on Alaska's Beaufort Sea coast using SnowDens-3D and ArcticDEM data

Ryan R. Wilson, Lori Quakenbush, Katherine B. Gura, Glen E. Liston et al.
5 citations
Ecological Modelling
Cryospheric studies and observations
1.88
article

Modeling polar bear (Ursus maritimus) snowdrift den habitat on Alaska's Beaufort Sea coast using SnowDens-3D and ArcticDEM data

Ryan R. Wilson, Lori Quakenbush, Katherine B. Gura, Glen E. Liston, Justin A. Crawford, Jewell Lund, Craig J. Perham, Adele K. Reinking, Sarah M. Chinn, Richard T. Shideler, Lori Polasek
article en
5 citations

Abstract

• The SnowDens-3D snowdrift model was used to simulate annual polar bear den habitat. • The model correctly identified den habitat for 98% of dens observed in 2000–2017. • High resolution (2 m) ArcticDEM data can be used for den habitat simulations. • However, ArcticDEM anomalies must be removed before using the data in simulations. • Simulating polar bear den habitat can guide efforts to minimize den disturbance. Pregnant polar bears ( Ursus maritimus ) excavate maternal dens in seasonal snowdrifts during fall along Alaska's Beaufort Sea coast to shelter their altricial young during birth and development. With recent sea ice decreases, bears are denning more frequently on land. Each year, the weather and blowing-snow conditions control the creation of snowdrifts across the landscape. Therefore, available snowdrift den habitat can vary widely from one year to the next, depending on the late fall and early winter air temperature, snowfall, and wind speed and direction. We implemented a physics-based, spatiotemporal, polar bear snowdrift den habitat model (SnowDens-3D) across the eastern Alaska Beaufort Sea coast (an area of approximately 17,000 km 2 ). High-resolution (2.0 m) topography data were provided by the ArcticDEM, and daily meteorological forcings were provided by NASA's MERRA-2 reanalysis. In many areas across the Arctic Alaska simulation domain, the raw ArcticDEM data contained physically unrealistic topographic anomalies (bumps and depressions) of similar magnitude (± 1.5 m) to the topographic variations that underlie potential den habitat (height differences of approximately 1.5 m). To create an ArcticDEM dataset for this den habitat model, considerable pre-processing of the ArcticDEM data was required; we implemented numerous filters to remove the topographic anomalies while preserving those topographic features capable of creating snowdrifts deep enough to provide viable polar bear den habitat. A 21-year (2000–2020) SnowDens-3D simulation was performed, and model outputs were compared with 91 historical polar bear den locations. The year-specific simulations identified viable den habitat for 98% of the observed den locations. The interannual variation in den habitat area over the 21-year period ranged by approximately a factor of three from the minimum year (2001; 554 km 2 ) to the maximum year (2017; 1,566 km 2 ). The ability to identify viable polar bear snowdrift den habitat in near-real time, as demonstrated here, will help wildlife managers and industry personnel identify potential polar bear maternity den sites and minimize disturbance to occupied dens.

Ecological ModellingVol. 501
Alaska Department of Fish and Game (US), Bureau of Land Management (US), United States Fish and Wildlife Service (US), Colorado State University (US), Stanford University (US)
Life below water
Openalex Percentile: Top 15%
Cryospheric studies and observations
1.88
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