Table 1.

Posterior summary statistics for both a standard spatial capture–recapture (SCR) model and the random thinning SCR model for a bear population in a 2,624 km² (and 6 km buffer) region in the Eastern Cantabrian Mountains in Spain

Standard SCR			BCI
	Median	SD	2.50%	97.50%
$\widehat{D}$	1.027	0.195	0.715	1.479
${\widehat{\alpha }}_0$	−0.240	0.275	−0.806	0.277
${\widehat{\alpha }}_2$	1.525	0.266	1.058	2.086
${\widehat{\alpha }}_3$	−0.171	0.058	−0.294	−0.066
$\widehat{\psi }$	0.419	0.083	0.278	0.606
$\widehat{\sigma }$	0.236	0.019	0.202	0.280

Random thinning SCR			BCI
	Median	SD	2.50%	97.50%
$\widehat{D}$	1.019	0.172	0.740	1.405
${\widehat{\alpha }}_0$	0.915	0.190	0.542	1.281
${\widehat{\alpha }}_2$	1.006	0.203	0.627	1.427
${\widehat{\alpha }}_3$	−0.094	0.048	−0.195	−0.003
$\widehat{\theta }$	0.599	0.039	0.520	0.675
$\widehat{\psi }$	0.416	0.075	0.288	0.581
$\widehat{\sigma }$	0.204	0.013	0.181	0.231

We used the posterior median for all parameters, and presented the standard deviation and 95% Bayesian credible interval (BCI). $\widehat{D}$ is population density (individuals/100 km²); ${\widehat{\alpha }}_0$ is the intercept for effort; ${\widehat{\alpha }}_2$ is the slope for effort; ${\widehat{\alpha }}_3$ is the quadratic parameter for effort; $\widehat{\theta }$ is the identification rate; $\widehat{\psi }$ is the parameter for data augmentation; and $\widehat{\sigma }$ is the scale parameter for the half‐normal distribution, related to movement of animals.