Table 2. Comparison between distance-effect models using logistic regression with distance variables for each linear landscape features partly including interaction terms for seasons according to log-likelihood (LL), AIC, and AIC score as changes in AIC from the lowest model (Δi).

Model	Road_open_dist			Road_forest_dist			Forest_edge_dist			River_dist
	LL	AIC	Δi	LL	AIC	Δi	LL	AIC	Δi	LL	AIC	Δi
D+D2+D:SS+SS:LC+SS:SX	−58865	117777	0	−58943	117931	0	−59296	118638	0	−59780	119607	0
D+D2+D:SS+SS:LC	−58878	117799	22	−58967	117976	45	−59316	118675	37	−59794	119631	24
D+D2+D:SS+LC	−60092	120193	2416	−59889	119791	1859	−60415	120842	2204	−60929	121871	2264
D+D2+D:SS+SS:SX	−60150	120315	2538	−59925	119863	1932	−60452	120919	2281	−60977	121968	2361
D+D2+D:SS+SX	−60152	120197	2420	−59928	119869	1938	−60457	120925	2287	−60982	121977	2370
D+D2+D:SS	−60155	120320	2544	−59939	119888	1957	−60462	120934	2296	−60985	121980	2373
D+D2+SS	−60465	120938	3161	−60054	120117	2186	−61198	122405	3767	−61168	122344	2737
D+D2	−60709	121423	3647	−60216	120439	2508	−61340	122687	4049	−61306	122617	3010
D	−60721	121447	3670	−60627	121259	3327	−61344	122692	4054	−61322	122648	3041

The variable names: continuous distance (D), quadratic terms of distance (D²), season (SS), sex (SX), land cover (LC) and three interactions with season (D:SS, SS:SX, SS:LC).