Table 2 Posterior variable inclusion probabilities and coefficients for the four covariates considered in the SCR model to estimate chamois densities.

From: Sexual segregation results in pronounced sex-specific density gradients in the mountain ungulate, Rupicapra rupicapra

Study Area

Sex

Covariate

PIP

Coefficient

CI low

CI high

CG

Female

TRI

0.99

1.18

0.56

1.64

SSI

0.61

−0.40

−0.68

−0.13

CANOPY

0.95

−0.98

−1.41

−0.50

BARREN

0.22

0.19

0.02

0.37

Male

TRI

0.72

1.37

0.37

2.10

SSI

0.99

−0.93

−1.58

−0.44

CANOPY

0.69

−1.19

−1.90

−0.29

BARREN

0.49

0.39

0.06

0.59

KW

Female

TRI

1.00

1.55

1.25

1.86

SSI

0.39

−0.22

−0.39

−0.05

CANOPY

1.00

−0.62

−0.98

−0.34

BARREN

0.67

−0.29

−0.50

−0.09

Male

TRI

1.00

1.18

0.95

1.43

SSI

1.00

−0.58

−0.73

−0.44

CANOPY

1.00

−1.21

−1.38

−1.05

BARREN

1.00

−0.80

−0.98

−0.63

  1. Study Area CG Chiemgau, KW Karwendel. PIP posterior variable inclusion probabilities of the covariates considered in the spatial point process of the SCR model. Coefficient model averaged coefficient estimates (posterior values when variable was included in the model). CI 95% Bayesian credible intervals.