Scientific Reports (Oct 2023)

An integrative and multi-indicator approach for wildlife health applied to an endangered caribou herd

  • Xavier Fernandez Aguilar,
  • Lisa-Marie Leclerc,
  • Kugluktuk Angoniatit Association,
  • Ekaluktutiak Hunters & Trappers Organization,
  • Olokhaktomiut Hunters & Trappers Committee,
  • Fabien Mavrot,
  • Amélie Roberto-Charron,
  • Matilde Tomaselli,
  • Gabriela Mastromonaco,
  • Anne Gunn,
  • Mathieu Pruvot,
  • Jamie L. Rothenburger,
  • Niroshan Thanthrige-Don,
  • Elham Zeini Jahromi,
  • Susan Kutz

DOI
https://doi.org/10.1038/s41598-023-41689-y
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 14

Abstract

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Abstract Assessing wildlife health in remote regions requires a multi-faceted approach, which commonly involves convenient samplings and the need of identifying and targeting relevant and informative indicators. We applied a novel wildlife health framework and critically assessed the value of different indicators for understanding the health status and trends of an endangered tundra caribou population. Samples and data from the Dolphin and Union caribou herd were obtained between 2015 and 2021, from community-based surveillance programs and from captured animals. We documented and categorized indicators into health determinants (infectious diseases and trace elements), processes (cortisol, pathology), and health outcomes (pregnancy and body condition). During a recent period of steep population decline, our results indicated a relatively good body condition and pregnancy rates, and decreasing levels of stress, along with a low adult cow survival. We detected multiple factors as potential contributors to the reduced survival, including Brucella suis biovar 4, Erysipelothrix rhusiopathiae and lower hair trace minerals. These results remark the need of targeted studies to improve detection and investigations on caribou mortalities. We also identified differences in health indicators between captured and hunter sampled caribou, highlighting the importance of accounting for sampling biases. This integrative approach that drew on multiple data sources has provided unprecedented knowledge on the health in this herd and highlights the value of documenting individual animal health to understand causes of wildlife declines.