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Table 1 Results from global step selection function models. We present the parameter estimates (β) ± standard errors (SE) and P values of covariates included in step selection function (SSF) models explaining the crossings and detours of migratory caribou from the Rivière-aux-Feuilles herd in the vicinity of the largest lakes in Northern Québec, Canada. The least parameterized model, which is also the most parsimonious (lowest AICc value), appears in black, whereas the more complex model with interactions (and a higher AICc value) appears in grey. Number of parameters (k), log-likelihood (LL), and AICc values are shown for each model, and validation results (\( \overline{r_S} \)) appear for the most parsimonious model only

From: Caribou, water, and ice – fine-scale movements of a migratory arctic ungulate in the context of climate change

Model

Covariates

β ± SE

P value

Model 1, k = 2, LL = −3809.01, AICc = 7622.03, \( \overline{r_S} \) = 0.52

 

Proportion of steps in water

−0.733 ± 0.363

0.04

 

Proportion of steps on ice

0.475 ± 0.179

0.01

Model 2, k = 5, LL = −3808.28, AICc = 7628.57

 

Proportion of steps in water

−0.641 ± 0.469

0.17

 

Proportion of steps on ice

0.581 ± 0.343

0.09

 

Prop. water × Type:reservoir

−0.270 ± 0.786

0.73

 

Prop. water × Type:river

0.663 ± 1.863

0.72

 

Prop. ice × Type:reservoir

−0.087 ± 0.407

0.83

 

Prop. ice × Type:river

−0.923 ± 0.872

0.29

  1. Statistically significant effects (P ≤ 0.05) are shown in bold