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Table 3 Model selection for predictors of seroprevalence of sarcoptic mange in adult wolves captured in Scandinavia

From: Sarcoptic mange in the Scandinavian wolf Canis lupus population

Model

Parameters

K

AICc

ΔAICc

ω i

rs(SE)

Combined

Lat + Sex * Pack Size

5

78.16

0

0.38

0.86(0.02)

+ Density

Lat + Sex * Pack Size + Territory Density

6

79.00

0.84

0.24

0.86(0.03)

+ Body Condition

Lat + Sex * Pack Size + Body Condition

6

79.04

0.88

0.24

0.59(0.03)

– Pack Size

Lat + Sex

3

80.57

2.41

0.12

0.62(0.03)

Submodel intrinsic

Sex * Pack Size

4

83.36

5.20

0.01

-

Submodel density

Lat + Pack Size

3

84.83

6.67

0.01

-

Density

Lat + Long + Pack Size + Territory Density

4

88.47

10.31

0

-

Intrinsic

Sex * Pack Size + Body Condition + Age + Repro

6

90.41

12.25

0

-

Null model

1

1

92.00

13.84

0

-

  1. Top models are validated by k-fold cross validation (rs). Lat / Long: Latitude and longitude of the territory centre point, Repro: Reproducing or non-reproducing pair, Pack Size: Number of wolves within the territory, Territory Density: Mean Euclidian distance to the next three territory centre points, Body Condition: Individual residual distance to the linear regression line of log body weight and log body length. Presented are the two main models (Intrinsic, Density), the top models for each variable group, the model combining the top submodels, the combined model with variables ranking within the cut off in the variable group model selection and the null model