Projects per year
tForaging bees use color cues to help identify rewarding from unrewarding flowers. As environmentalconditions change, bees may require behavioral flexibility to reverse their learnt preferences. Learningto discriminate perceptually similar colors takes bees a long time, and thus potentially poses a difficulttask to reverse-learn. We trained free-flying honeybees to learn a fine color discrimination task thatcould only be resolved (with about 70 accuracy) following extended differential conditioning. The beeswere then tested for their ability to reverse-learn this visual problem. Subsequent analyses potentiallyidentified individual behavioral differences that could be broadly classified as: `Deliberative-decisive?bees that could, after several flower visits, decisively make a large change to learnt preferences; `Fickle-circumspect? bees that changed their preferences by a small amount every time they received a reward,or failed to receive one, on a particular color; and `Stay? bees that did not change from their initially learntpreference. To understand the ecological implications of the observed behavioral diversity, agent-basedcomputer simulations were conducted by systematically varying parameters describing flower rewardswitch oscillation frequency, flower handling time, and fraction of defective `target? stimuli that containedno reward. These simulations revealed that when the frequency of reward reversals is high, Fickle-circumspect bees are more efficient at nectar collection, but as reward reversal frequency decreases,the performance of Deliberative-decisive bees becomes most efficient. As the reversal frequency contin-ues to fall, Fickle-circumspect and Deliberative-decisive strategies approach one another in efficiency.In no tested condition did Stay bees outperform the other groups. These findings indicate there is a fit-ness benefit for honeybee colonies containing individuals exhibiting different strategies for managing changing resource conditions.
- 2 Finished
Pollination in a new climate: Evolutionary simulation of bee and flower interactions for predicting impacts of climate change on pollination.
Dorin, A., Dyer, A. G. & Chittka, L.
28/02/13 → 15/12/16