Table 1 ∣Multinomial logistic regression models for litter size at den emergence.

From: Predicting climate change impacts on polar bear litter size

Model covariates

No. of parameters estimated

P

AIC c

ΔAIC c

E/LBM

4

E/LBM: 0.0004

44.48

0

E/LBM, A

6

E/LBM: 0.0004

48.89

4.41

  

A: 0.397

  

E

4

E: 0.010

50.89

6.41

E, A

6

E: 0.012

55.72

11.24

  

A: 0.488

  

A

4

A: 0.397

58.25

13.77

  1. Possible covariates are maternal storage energy at den entry (E, MJ), maternal energy density at den entry (E/LBM, MJ kg−1) and maternal age at den entry (A, years). P-values refer to the significance of each covariate in explaining the litter size data, as determined by likelihood ratio tests. Models are ranked by their AICc value (Akaike's Information Criterion adjusted for small sample size). ΔAICc is the difference between each model's AICc value and the AICc value of the best-supported model. The model with the lowest AICc value was considered best, and models with AICc values within two units of the best model were considered equally good51.
Back to article page