Hair mineral levels as indicator of wildlife demographics?—a pilot study of muskoxen

• Published in: Polar Research
• Main Authors: Jesper Bruun Mosbacher, Jean-Pierre Desforges, Anders Michelsen, Sophia V. Hansson, Mikkel Stelvig, Igor Eulaers, Christian Sonne, Rune Dietz, Bjørn Munro Jenssen, Tomasz Maciej Ciesielski, Syverin Lierhagen, Trond Peder Flaten, Gaël Le Roux, Marie R. Aggerbeck, Niels Martin Schmidt
• Format: Article in Journal/Newspaper
• Language: English
• Published: Norwegian Polar Institute 2022
• Subjects: demographics; minerals; population dynamics; wool; ovibos moschatus; calf recruitment; demo; envir; Arctic; Greenland; muskox; Polar Research
• Online Access: https://doi.org/10.33265/polar.v41.8543; https://doaj.org/article/594f3634112b476785c03fc5b321a1cf

The tight linkage between mineral status and health and demographics in animals is well documented. Mineral deficiencies have been coupled to population declines in wildlife. Current practices typically rely on liver, kidney and/or serum samples to assess mineral levels. Such destructive sampling strategies are, however, not feasible for remote or endangered populations. Hair may constitute an alternative tissue, sampled through non-invasive means, to investigate mineral levels in wildlife. In the pilot study presented here, we examine whether mineral levels in hair samples from a well-studied muskox (Ovibos moschatus) population in High-Arctic Greenland are associated with a vital rate and may, therefore, serve as indicators of wildlife population demographics. We show that inter-annual variations in levels of three minerals—copper, selenium and molybdenum—are associated with fluctuations in annual calf recruitment, with poor recruitment in years of low mineral levels in hair. Local environmental conditions also varied with calf recruitment but appeared to be less robust predictors of calf recruitment than hair mineral levels. Our results suggest that hair mineral levels may serve as an indicator of vital demographic rates and, ultimately, of wildlife population trends.