Table 2 Best models for each of the working hypothesis selected according to the model’s AICc and ΔAICc. The hypotheses and models with the higher support (and lower AICc values) are presented in bold.

From: Ecological drivers of Mycobacterium avium subsp. paratuberculosis detection in mongoose (Herpestes ichneumon) using IS900 as proxy

Models

df

AICc

ΔAICc

AICc weight

H1 - productivity/food resources availability hypothesis

NDVI + Rabbit_abundance

3

65.20

0.00

0.419

NDVI

2

65.34

0.14

0.392

Rabbit_abundance

2

66.79

1.59

0.189

H2 - Disturbance hypothesis

Road_network

2

67.04

0.00

1.000

H3 - Life-history traits hypothesis

Body_size + Age

3

61.67

0.00

0.162

Body_size + Age + Mongoose_dens

4

61.67

0.00

0.162

Age + Mongoose_dens

3

61.98

0.31

0.138

Age

2

62.03

0.36

0.135

Gender + Body_size + Age

4

62.97

1.30

0.085

Gender + Body_size + Age + Mongoose_dens

5

63.00

1.33

0.083

Gender + Age + Mongoose_dens

4

63.24

1.57

0.074

Gender + Age

3

63.26

1.59

0.073

H4 - Climate and orography hypothesis

Altimetry + Annual_rainfall + Annual_temp_range + River_network

5

55.87

0.00

0.542

Altimetry + Annual_rainfall + Annual_temp_range

4

57.61

1.74

0.227

H5 – Cattle farm hypothesis

Dens_cattle_farm

2

66.84

0.00

1.000

  1. df - degrees of freedom. AICc - Akaike’s information criterion. ΔAICc - difference to the lowest AICc value; AICc weight - Akaike weights. Rabbit_abundance - Abundance of wild rabbits; NDVI - Normalized Difference Vegetation Index; Road_network - road network density; Body_size – First component of the Principal component analysis (PCA) of body size (based on weight, snout-tail length, neck perimeter); Mongoose_dens – Egyptian mongoose abundance; Annual_temp_range - annual temperature range.
Back to article page