Grantees: Daniel T. Blumstein, Emily Renkey

 

Institution: University of California, Los Angeles, US

Grant amount: $219,900

 

Grant type: Challenge grants

Focal species: Yellow-bellied marmot (Marmota flaviventer)

 

Conservation status: Least concern

Disciplines: Population ecology, genetics/genomics, ecological modeling, physiology

 

Research locations: United States


Project summary

In humans, early cumulative adversity has demonstrable consequences for health, welfare, and longevity. The welfare consequences of early adversity in wild animals is less well understood, possibly reflecting insufficient measures for assessment. Using a recently validated approach to quantifying cumulative adversity in free-living yellow-bellied marmots (Marmota flaviventer), this project will investigate the welfare effects of early cumulative adversity. It will look for associations between the adversity index and key behaviors that indicate general wariness (flight initiation distance, time allocated to vigilance while foraging, and the propensity to emit alarm calls while foraging), biomarkers that indicate physiological stress (fecal glucocorticoid levels, neutrophil:lymphocyte ratios), and ultimately, two measures of aging (telomere length and DNA methylation). By quantifying these behavioral indices of wariness and the suite of biomarkers that culminate in telomeres and epigenetic state in pups throughout their first year and in older animals throughout their lives, the project will determine whether adverse environmental experiences have immediate and lasting effects on welfare.

Why we funded this project

This project will add welfare to the research portfolio of a long-running study system of a free-living mammal. It will contribute to understanding the validity of biological aging as a welfare indicator by pairing it with other indicators and a comprehensive dataset of the animals’ adverse early-life experiences. 


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Harnessing machine learning for the non-invasive assessment of wild fish welfare