TABLE 3.

Pearson correlation coefficients and their significance for all continuous factor combinations analyzed with (a) the dataset on all host individuals, and (b) the dataset on hosts from forest fragments

Dataset for Models A‐C (all host individuals)
n = 835 p* < .0033	Host density	Body condition	Forest size	Distance to edge	Vegetation clearance	Forest maturation
Host density		−0.02	0.19	0.29	0.12	−0.42
Body condition	0.5395		0.03	−0.10	0.10	0.00
Forest size	<0.0001	0.3511		0.69	−0.43	−0.22
Distance to edge	0.0958	0.0067	<0.0001		−0.49	−0.26
Vegetation clearance	0.0009	0.3429	<0.0001	<0.0001		0.09
Forest maturation	<0.0001	0.9928	0.0631	<0.0001	0.0120

Dataset for Models D‐F (all hosts from forest fragments)
n = 465 p* < .0024	Host density	Body condition	Forest size	Distance to edge	Edge percentage	Vegetation clearance	Forest maturation
Host density		0.03	0.13	−0.06	0.14	−0.31	−0.48
Body condition	0.5096		0.10	0.15	−0.16	0.02	0.01
Forest size	0.0090	0.0321		0.43	−0.64	−0.04	−0.08
Distance to edge	0.1808	0.0014	<0.0001		−0.54	0.27	0.09
Edge percentage	0.2903	0.0007	<0.0001	<0.0001		−0.47	−0.32
Vegetation clearance	<0.0001	0.6441	0.4163	<0.0001	<0.0001		0.48
Forest maturation	<0.0001	0.9027	0.0898	0.0513	<0.0001	<0.0001

Pearson correlation coefficient: above the diagonal, associated p‐values: below the diagonal. Significant correlations are highlighted in bold. p* = adjusted level of significance after Bonferroni correction.