Factors influencing detection probability

Model selection suggested bait-type (fish versus honey) without temporal trend using a half-normal detection function was the best fitting and outperformed alternate temporal and detector-level models based on AICc (Table 1). Detection probabilities at g0 =0 based on this model were far higher for fish-bait (0.33 [95% C.I. 0.25-0.43]) compared to honey-bait (0.01 [95% C.I. 0.01-0.03]) (Fig. 2). Alternate models that included temporal effects of weather and rebaiting periods were not found to be as influential as bait-type (Table 1). Likewise, detector-level covariates (i.e., tree species, tree height and trap height) were also found to not be as important as bait-type.