Demographic and temporal variations in immunity and condition of polar bears (Ursus maritimus) from the southern Beaufort Sea

Authors

Lorin A. Neuman-Lee, Arkansas State University
Patricia A. Terletzky, Utah State University
Todd C. Atwood, U.S. Geological SurveyFollow
Eric M. Gese, USDA/APHIS/WS National Wildlife Research CenterFollow
Geoffrey D. Smith, Dixie State University
Sydney Greenfield, Utah State University
John Pettit, Utah State University
Susannah S. French, Utah State UniversityFollow

Document Type

Article

Date of this Version

2017

Citation

Neuman-Lee LA, Terletzky PA, Atwood TC, et al. Demographic and temporal variations in immunity and condition of polar bears (Ursus maritimus) from the southern Beaufort Sea. J Exp Zool. 2017;333–346. https://doi.org/ 10.1002/jez.2112

Comments

U.S. government work.

Abstract

Assessing the health and condition of animals in their natural environment can be problematic. Many physiological metrics, including immunity, are highly influenced by specific context and recent events to which researchers may be unaware. Thus, using a multifaceted physiological approach and a context-specific analysis encompassing multiple time scales can be highly informative. Ecoimmunological tools in particular can provide important indications to the health of animals in the wild.We collected blood and hair samples from free-ranging polar bears (Ursus maritimus) in the southern Beaufort Sea and examined the influence of sex, age, and reproductive status on metrics of immunity, stress, and body condition during 2013–2015.We examined metrics of innate immunity (bactericidal ability and lysis) and stress (hair cortisol, reactive oxygen species, and oxidative barrier), in relation to indices of body condition considered to be short term (urea to creatinine ratio; UC ratio) and long term (storage energy and body mass index). We found the factors of sex, age, and reproductive status of the bear were critical for interpreting different physiological metrics. Additionally, the metrics of body condition were important predictors for stress indicators. Finally,many of these metrics differed between years, illustrating the need to examine populations on a longer time scale. Taken together, this study demonstrates the complex relationship between multiple facets of physiology and how interpretation requires us to examine individuals within a specific context.