Table 3.

Reduced model statistics for multiple regression on distance matrices (MRDM) that quantified the relationship between genetic differentiation (F _ST and D _EST) and landscape variables (i.e., configuration and complexity) in chipmunks and white‐footed mice

Resistance surface	F ST					D EST
	Avg F	$R_{\mathrm{adj}}^2$	95% upper	95% lower	P value	Avg F	$R_{\mathrm{adj}}^2$	95% upper	95% lower	P value
Chipmunk
IBD	26.754	0.071	0.072	0.070	0.006	40.301	0.103	0.104	0.102	0.001
IBB	20.610	0.055	0.056	0.054	0.017	35.770	0.093	0.094	0.092	0.002
MortL	22.499	0.060	0.061	0.060	0.022	38.583	0.099	0.100	0.098	0.002
MortH	22.207	0.059	0.060	0.058	0.023	36.781	0.095	0.096	0.094	0.003
MoveL	23.317	0.062	0.063	0.061	0.024	41.061	0.106	0.105	0.104	0.001
MoveH	24.184	0.065	0.066	0.064	0.009	38.759	0.101	0.101	0.100	0.003
White‐footed Mouse
IBD	2.842	0.023	0.024	0.022	0.683	2.535	0.018	0.020	0.017	0.674
IBB	2.937	0.028	0.029	0.027	0.617	2.727	0.021	0.022	0.020	0.656
MortL	3.152	0.030	0.031	0.029	0.623	3.122	0.029	0.030	0.028	0.625
MortH	3.218	0.033	0.034	0.032	0.618	3.388	0.031	0.032	0.031	0.622
MoveL	3.023	0.030	0.032	0.029	0.621	3.292	0.030	0.031	0.029	0.666
MoveH	3.329	0.037	0.038	0.036	0.608	3.417	0.032	0.033	0.031	0.611

The reduced model that explained the most variance among the six resistance surfaces (IBD, IBB, MortL, MortH, MoveL, MoveH) is bolded. For F _ST, all reduced models only contained resistance distances and Clumpy as a significant variables, whereas models with D _EST contained resistance distances only (Table S3). Average F statistics (Avg F), P values (P value), adjusted R ², and 95% confidence intervals around R ² are provided for each reduced model and were calculated based on 1000 bootstrap iterations.