Table 2 Definitions for components of detectability and how they were estimated. We formalized daily detection probability as a four-step process involving animal movement and camera efficacy. The probability of a camera detecting the target species involves the number of times per day that animals visit the plot (\( \overline{N} \)), the probability that these animals will subsequently pass an individual camera (\( {\overline{r}}_c \)), and the probability of the camera sensing the animal and triggering fast enough to take an identifiable picture (rt, rp)
From: Empirical evaluation of the spatial scale and detection process of camera trap surveys
Parameter | Statistical Description | Estimator Definition |
|---|---|---|
\( \overline{N} \) | Average visit rate | Mean number of paths crossing the grid per day |
\( {\overline{r}}_c \) | Pr(Pass | Visit) | Probability that animal on grid passes a camera |
rt | Pr(Trigger | Visit, Pass) | Proportion of passes resulting in any photograph |
rp | Pr(Photo | Visit, Pass, Trigger) | Proportion of photographs that contain the animal |