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An automated system for tracking and identifying individual nectar foragers at multiple feeders
Authors:Kazuharu Ohashi  Daniel D’Souza  James D Thomson
Institution:(1) Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba Ibaraki, 305-8572, Japan;(2) 6214 Fort Road, Mississauga, ON, Canada, L5V 1X2;(3) Department of Ecology and Evolutionary Biology, University of Toronto, 25 Harbord Street, Toronto, ON, Canada, M5S 3G5
Abstract:Nectar-feeding animals have served as the subjects of many experimental studies and theoretical models of foraging. Their willingness to visit artificial feeders renders many species amenable to controlled experiments using mechanical “flowers” that replenish nectar automatically. However, the structural complexity of such feeders and the lack of a device for tracking the movements of multiple individuals have limited our ability to ask some specific questions related to natural foraging contexts, especially in competitive situations. To overcome such difficulties, we developed an experimental system for producing computer records of multiple foragers harvesting from simple artificial flowers with known rates of nectar secretion, using radio frequency identification (RFID) tags to identify individual animals. By using infrared detectors (light-emitting diodes and phototransistors) to activate the RFID readers momentarily when needed, our system prevents the RFID chips from heating up and disturbing the foraging behavior of focal animals. To demonstrate these advantages, we performed a preliminary experiment with a captive colony of bumble bees, Bombus impatiens. In the experiment, two bees were tagged with RFID chips (2.5 × 2.5 mm, manufactured by Hitachi-Maxell, Ltd., Tokyo, Japan) and allowed to forage on 16 artificial flowers arranged in a big flight cage. Using the resulting data set, we present details of how the bees increased their travel speed between flowers, while decreasing the average nectar crop per flower, as they gained experience. Our system provides a powerful tool to track the movement patterns, reward history, and long-term foraging performance of individual foragers at large spatial scales.
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