Movement Metrics of Adult Female Grizzly Bears and Polar Bears Used to Identify Cub Presence with Machine Learning
April 30, 2025
These data represent movement metrics of adult female grizzly bears and polar bears with and without cubs-of-the-year at seven temporal scales after den departure. Grizzly bear data were collected in the Greater Yellowstone Ecosystem during 2000–2021 and in the Northern Continental Divide Ecosystem during 2003–2022. Polar bear data were collected in the Southern Beaufort Sea during 1986–2016 and in the Chukchi Sea during 2008–2017. These data were used to train support vector machines (SVM) used to predict cub presence or absence.
Citation Information
Publication Year | 2025 |
---|---|
Title | Movement Metrics of Adult Female Grizzly Bears and Polar Bears Used to Identify Cub Presence with Machine Learning |
DOI | 10.5066/P13KQ2U9 |
Authors | Karyn D Rode, Polar Bear Research Program USGS Alaska Science Center |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Alaska Science Center |
Rights | This work is marked with CC0 1.0 Universal |
Related
Identifying presence or absence of grizzly and polar bear cubs from the movements of adult females with machine learning Identifying presence or absence of grizzly and polar bear cubs from the movements of adult females with machine learning
BackgroundInformation on reproductive success is crucial to understanding population dynamics but can be difficult to obtain, particularly for species that birth while denning. For grizzly (Ursus arctos) and polar bears (U. maritimus), den visits are impractical because of safety and logistical considerations. Reproduction is typically documented through direct observation, which can be...
Authors
Erik Andersen, Justin Clapp, Milan Vinks, Todd C. Atwood, Daniel D. Bjornlie, Cecily M. Costello, David Gustine, Mark A. Haroldson, Lori L. Roberts, Karyn D. Rode, Frank T. van Manen, Ryan H. Wilson
Related
Identifying presence or absence of grizzly and polar bear cubs from the movements of adult females with machine learning Identifying presence or absence of grizzly and polar bear cubs from the movements of adult females with machine learning
BackgroundInformation on reproductive success is crucial to understanding population dynamics but can be difficult to obtain, particularly for species that birth while denning. For grizzly (Ursus arctos) and polar bears (U. maritimus), den visits are impractical because of safety and logistical considerations. Reproduction is typically documented through direct observation, which can be...
Authors
Erik Andersen, Justin Clapp, Milan Vinks, Todd C. Atwood, Daniel D. Bjornlie, Cecily M. Costello, David Gustine, Mark A. Haroldson, Lori L. Roberts, Karyn D. Rode, Frank T. van Manen, Ryan H. Wilson