4.1 Article

Stress hormone metabolites predict overwinter survival in yellow-bellied marmots

期刊

ACTA ETHOLOGICA
卷 18, 期 2, 页码 181-185

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s10211-014-0204-6

关键词

Fecal glucocorticoid metabolites; Marmota flaviventris; Noninvasive measures; Stress hormones; Survival

资金

  1. US Department of Education
  2. UCLA Chancellor's Prize
  3. RMBL Snyder Graduate Research Fellowship
  4. Bartholomew Research Grant
  5. National Geographic Society
  6. Rocky Mountain Biological Laboratory
  7. Unisense foundation
  8. UCLA Faculty Senate Faculty Research Grants
  9. US National Science Foundation [IDBR 0754247, DEB-1119660]
  10. UCLA Division of Life Sciences
  11. [NSF-DBI-0242960]
  12. [NSF-DBI-0731346]
  13. Direct For Biological Sciences [1119660] Funding Source: National Science Foundation
  14. Division Of Environmental Biology [1119660] Funding Source: National Science Foundation

向作者/读者索取更多资源

Biological assays of stress, in particular noninvasive measures, are valuable tools for wildlife management. Chronic stress can have negative impacts on fitness outcomes, and an area of particular interest is if elevated baseline stress levels are predictive of survival outcomes. We examined the relationship between fecal glucocorticoid metabolites (FGMs) measured from samples collected during routine trapping and overwinter survival in a wild population of yellow-bellied marmots (Marmota flaviventris). In particular, we asked if elevated FGMs were associated with reduced survival probability. Both higher yearly FGM levels averaged over several months and higher late season FGM levels averaged over the several weeks before hibernation were associated with lower probability of survival. Additionally, there was an interaction between late-season FGM levels and body mass, such that the association between late-season FGMs and survival was much stronger in animals with lower body mass (i.e., in poorer condition). This study highlights the promise of using stress hormone metabolites, a noninvasive measure, for studying factors affecting survival in this and potentially other natural wildlife systems.

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