title: Adaptive numerical competency in a food-hoarding songbird.
abstract: Most animals can distinguish between small quantities (less than four) innately. Many animals can also distinguish between larger quantities after extensive training. However, the adaptive significance of numerical discriminations in wild animals is almost completely unknown. We conducted a series of experiments to test whether a food-hoarding songbird, the New Zealand robin Petroica australis, uses numerical judgements when retrieving and pilfering cached food. Different numbers of mealworms were presented sequentially to wild birds in a pair of artificial cache sites, which were then obscured from view. Robins frequently chose the site containing more prey, and the accuracy of their number discriminations declined linearly with the total number of prey concealed, rising above-chance expectations in trials containing up to 12 prey items. A series of complementary experiments showed that these results could not be explained by time, volume, orientation, order or sensory confounds. Lastly, a violation of expectancy experiment, in which birds were allowed to retrieve a fraction of the prey they were originally offered, showed that birds searched for longer when they expected to retrieve more prey. Overall results indicate that New Zealand robins use a sophisticated numerical sense to retrieve and pilfer stored food, thus providing a critical link in understanding the evolution of numerical competency.
authors.affiliation: School of Biological Sciences, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand.
authors.forename: Simon
authors.initials: S
authors.lastname: Hunt
authors.forename: Jason
authors.initials: J
authors.lastname: Low
authors.forename: K C
authors.initials: KC
authors.lastname: Burns
mesh_terms: D000222:Adaptation, Physiological; D000818:Animals; D003071:Cognition; D005247:Feeding Behavior; D011235:Predatory Behavior; D011897:Random Allocation; D012044:Regression Analysis; D020308:Songbirds