Table 1.

Posterior summaries of the parameters from the random thinning spatial capture-recapture model used to estimate the otter Lutra lutra population in the Tablas de Daimiel National Park (Spain).

	Mean	SD	q2.50%	q50%	q97.5%
$\widehat{N}$	13.331	0.613	13.000	13.000	15.000
${\widehat{D}}_{[s]}$	4.205	0.193	4.101	4.101	4.732
${\widehat{D}}_{[L]}$	1.709	0.079	1.667	1.667	1.923
$\widehat{\psi }$	0.276	0.062	0.162	0.273	0.406
$\widehat{\beta }$	1.649	0.247	1.223	1.629	2.182
$\widehat{\sigma }$	1.088	0.128	0.869	1.077	1.370
${\widehat{\mu }}_0$	− 4.632	0.515	− 5.761	− 4.588	− 3.747
${\widehat{\sigma }}_p$	1.939	0.344	1.369	1.905	2.704
$\theta$	0.600	0.045	0.511	0.601	0.686

$\widehat{N}$ is the otter population size estimate in the flooded area in February 2022;${\widehat{D}}_{[s]}$ and ${\widehat{D}}_{[L]}$ are the density estimates (individuals/km², and individuals/km of river length, respectively); $\widehat{\psi }$ is the parameter for data augmentation; $\widehat{\sigma }$ (in km) is the half-normal scale parameter describing the rate at which the detection probability declines as a function of distance from the detector; $\widehat{\beta }$ is the parameter for sampling effort in the baseline detection rate; ${\widehat{\mu }}_0$ and ${\widehat{\sigma }}_p$ are the random effects hyperparameters of the baseline detection rate. The mean and SD are shown for all parameters.