| Summary: | Degree: Master of Science Abstract: Naturally occurring stable isotope ratios and fatty acids are two types of chemical biomarkers frequently used to quantitatively estimate consumer diets. Stable isotope values in animal tissues and diets have been evaluated using Bayesian mixing models to provide dietary estimates of consumers in both terrestrial and marine ecosystems. Fatty acids have primarily been used to examine diets of marine species. Using muscle and adipose tissue, we combined the two biomarkers in a Bayesian mixing model to generate quantitative diet estimates for gray wolves (Canis lupus, n=78) in the southern Northwest Territories, Canada. Simulation experiments showed that the combined dataset led to more accurate and precise diet estimates than stable isotopes alone. Overall, wood bison (Bison bison athabascae) dominated the winter diet (63-96%) of wolves. In one region where bison was not readily available, wolf diet was more variable, with substantial contributions from boreal caribou (Rangifer tarandus caribou), moose (Alces alces), snowshoe hare (Lepus americanus), and beaver (Castor canadensis). Surprisingly, fish also comprised 5 – 26 % of wolf diet in the region. Wolves likely scavenged on scraps left behind by commercial ice fishing operations on Great Slave Lake. Our investigation underlines the power of combining these two major analytical tools to investigate diet in an elusive and opportunistic predator.
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