Moving wildlife tracking forward under forested conditions with the SWIFT GPS algorithm

Table 1 Models fitted to fix success rate (FSR) of GPS units tested in stationary sites (n = 11) under varying habitat and topographic conditions

Rank	Model parameters	R²m	k	AICc	ΔAICc	ω
1	Canopy closure	0.424	3	359.62	0	0.66
2	Canopy closure + sky view factor	0.407	4	360.97	1.36	0.34
3	Null	0.000	2	378.25	18.6	0.00
4	Sky view factor	0.024	3	379.01	19.4	0.00

R²m is the theoretical marginal pseudo-R², k is the number of parameters, AICc is the corrected Akaike Information Criterion, ΔAICc is the difference in corrected Akaike Information Criterion between the top model and the ith model, and ω is the Akaike weight

ISSN: 2050-3385