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Appendix S1. Percent of individuals within a caribou group engaged in each of six behaviour types at the 25th, 50th, and 95th centile values.

Appendix S2. Independent variables and categorical coding used to describe behaviour of Bathurst caribou, Northwest Territories and Nunavut, Canada, 2007–2009.

Appendix S3. Candidate multinomial logistic regression (mlogit) models of relative dominance of behaviour type within caribou groups on the Bathurst caribou post-calving/summer range, 2007–2009; number of parameters (K); log-likelihood; Akaike’s Information Criterion (AICc) scores; differences in AICc scores (ΔAICc) and AICc weights (w) for subsets of insect/weather, time/date/habitat, and combinations of insect/time/date/habitat variables.

Appendix S4. Coefficients (β) and 95% confidence intervals (CI) from the top and second-ranked multinomial logistic regression models (mlogit; Table 1) of relative dominance of behaviour types within caribou groups on the Bathurst caribou post-calving/summer range, Northwest Territories and Nunavut, Canada.

Appendix S5. Candidate fractional multinomial logistic regression (fmlogit) models of time allocation of individual caribou from focal sampling on the Bathurst caribou post-calving/summer range, 2007–2009; number of parameters (K); log-likelihood; Akaike’s Information Criterion (AICc) scores; differences in AICc scores (ΔAICc) and AICc weights (w) for subsets of insect/weather, time/date/habitat, and combinations of insect/time/date/habitat variables.

Appendix S6. Coefficients (β) and 95% confidence intervals (CI) from the top and second-ranked fractional multinomial logistic regression models (fmlogit; Table 2) representing time allocation by focal individual caribou observed on the Bathurst post-calving/summer range, Northwest Territories and Nunavut, Canada.

Appendix S7. Candidate fractional logistic regression (flogit) models of feeding intensity of individual caribou from focal sampling on the Bathurst caribou post-calving/summer range, 2008–2009; number of parameters (K); log-likelihood; Akaike’s Information Criterion (AICc) scores; differences in AICcscores (ΔAICc) and AICc weights (w) for subsets of insect/weather, time/date/habitat, and combinations of insect/time/date/habitat variables.

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