not-yet-known not-yet-known not-yet-known unknown Table 2. Model results from linear regression modelling explaining variation in δ 15N values in brown bear hair from south-central Sweden 1995-2020 (n = 669). We tested for linear patterns as well as log-linear (ln) relationships between response and explanatory variables. We also tested whether stable isotope values responded to food availability in the same year hair was grown, or to food availability in the year prior, i.e., with a 1-year time lag; (lagged). Explanatory variables included an annual index of bilberry production (Bilberry), annual number of moose (Alces alces ) calves produced based on hunter observations after accounting for observation effort (Calf), the annual number of moose harvested, and bear age and sex. We used the difference in AICc scores (ΔAICc ) and model weights (wi ) to determine the most parsimonious model. Beta estimates (\(\widehat{\beta}\)) and 95% confidence intervals (LCI, UCI) are provided for each explanatory variable in competitive models