Memory and foraging theory: chimpanzee utilization of optimality heuristics in the rank-order recovery of hidden foods
Publication Type: |
Journal Article |
Year of Publication: |
2012 |
Authors: |
Ken Sayers, Charles R. Menzel |
Publication/Journal: |
Animal Behaviour |
Keywords: |
communication, evolutionary ecology, handling time, movement ecology, prey encounter, primate cognition |
ISBN: |
0003-3472 |
Abstract:
Many models from foraging theory and movement ecology assume that resources are encountered randomly. If food locations, types and values are retained in memory, however, search time could be significantly reduced, with concurrent effects on biological fitness. Despite this, little is known about what specific characteristics of foods, particularly those relevant to profitability, nonhuman animals can remember. Building upon previous observations, we hypothesized that chimpanzees, Pan troglodytes, after observing foods being hidden in a large wooded test area they could not enter, and after long delays, would direct (through gesture and vocalization) experimentally naïve humans to the reward locations in an order that could be predicted beforehand by the spatial and physical characteristics of those items. In the main experiment, various quantities of almonds, both in and out of shells and sealed in transparent bags, were hidden in the test area. The chimpanzees later directed searchers to those items in a nonrandom order related to quantity, shell presence/absence, and the distance they were hidden from the subject. The recovery sequences were closely related to the actual e/h (energy/handling time) profitability of the foods. Predicted recovery orders, based on the energetic value of almonds and independently measured, individual-specific expected pursuit and processing times, were closely related to observed recovery orders. We argue that the information nonhuman animals possess regarding their environment can be extensive, and that further comparative study is vital for incorporating realistic cognitive variables into models of foraging and movement.