Comparative field study demonstrates canned food outmatches chemical light lures for capturing aquatic fauna, suggesting visual light cues do not enhance passive trapping surveys.
Capturing animals using traps is a foundational method for conducting wildlife surveys and monitoring programs. Projects like these often focus on aquatic or semi-aquatic fauna, such as many species of reptiles and amphibians, to determine biodiversity composition and estimate trends in population status. Detectability of certain species can be improved using a variety of trap and bait combinations, but less is understood about the effects of light and light wavelength (color) on such trapping efforts. From 2011 to 2019, we compared the effectiveness of food-baited and glow stick-baited traps, and the effectiveness of different colored glow sticks as bait in 2 separate but similar studies in southern Mississippi. In the first study, in which we compared cat food-baited traps and traps baited with yellow glow sticks to unbaited controls traps, we found that turtles (z = 3.490, P = 0.0005), insects (z = 4.311, P < 0.0001), crayfish (z = 5.856, P < 0.0001), and fish (z = 0.998, P = 0.0027) were captured significantly more often (after applying a Bonferroni-corrected α-level) in traps baited with commercial canned cat food, but not in traps baited with glow sticks, when compared to unbaited controls, whereas snakes, frogs, tadpoles, and salamanders did not show a significant difference between either traps baited with cat food or glowsticks and unbaited controls. In the second study, in which we compared success of traps baited with 3 different glow-stick colors (green, red, and yellow) to unbaited controls, we found no significant differences between glow-stick color and unbaited controls. In both studies, we found strong relationships between taxa captured and both trap size (small and large aquatic funnel traps) and site (A, B, and C). This study informs sampling design for a variety of aquatic and semi-aquatic taxa when carrying out surveys and monitoring programs.
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Grimes et al. (2025) studied this question.
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