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Table 3 Summary of how results support predictions (Table 1) for expected patterns in time allocation, state occupancy probabilities and activity scheduling if muskoxen were to follow either of the three proposed strategies according to optimal foraging theory, for the summer and winter season, respectively

From: An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore

summer season (snow-free)

winter season (snow-covered)

prediction

supported

reasons for support or rejection

prediction

supported

reasons for support or rejection

S1INTAKE

partially

- time allocation strongly (but not only) influenced by foraging conditions (landcover, ruggedness)

- short resting bout duration

W1INTAKE

partially

- time allocation influenced by forage conditions (landcover, ruggedness)

- long resting bout duration

S2INTAKE

yes

- no covariates selected that represent potentially constraining environmental conditions (e.g. temperature)

W2INTAKE

no

- time allocation not independent of potentially constraining environmental conditions (snow, temperature, wind speed)

S3 INTAKE

yes

- no specific daily scheduling of activities

W3INTAKE

no

- distinct daily scheduling of activities

S4INTAKE

yes

- year not selected as covariate

W4INTAKE

partially

- year selected as covariate

- no pronounced interannual variation in activity budgets

S1TIME

partially

- light and foraging conditions (landcover, ruggedness) strongly influence time allocation

- time of day not selected as covariate

W1TIME

partially

- time allocation influenced by time of day, forage (landcover, ruggedness) and light conditions

S2TIME

no

- time spent foraging is constantly high throughout summer

W2TIME

no

- foraging activity decreased over course of the winter (i.e. with declining forage quality, see Schmidt et al. 2018)

S3TIME

no

- no specific daily scheduling of activities during midnight sun period

W3TIME

yes

- distinct daily scheduling of activities

S1NET

no

- no covariates selected that represent potentially constraining environmental conditions (e.g. temperature)

W1NET

yes

- time allocation influenced by forage (landcover, ruggedness) and potentially constraining environmental conditions (snow, temperature, wind speed)

S2NET

no

- no covariates selected that represent potentially constraining environmental conditions (e.g. temperature)

W2NET

yes

- probability of resting increased with deep snow, low temperature, high wind speeds

- long resting bout duration

S3NET

no

- time of day not selected as covariate

W3NET

no

- distinct daily scheduling of activities

S4NET

no

- year not selected as covariate

W4NET

partially

- year selected as covariate

- no pronounced interannual variation in activity budgets