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Julia Mellert:

Decoding temporal and social factors driving entrained circadian rhythm learning in honeybees through pattern recognition


In this thesis patterns of circadian rhythms in honey bee colonies are investigated, focusing on age-dependent variations, the effects of external influences, and the role of social interactions. Using comprehensive tracking data over two time periods (2016 and 2019), bee circadian rhythms are modeled by a cosinor model and statistically analyzed to examine their evolution over the life course. It is shown that circadian rhythms can be already observed in young bees and that they undergo a nonlinear maturation process with age. Synchronization of rhythms and earlier peaks of activity are more pronounced in older bees. The influence of external factors, especially weather conditions, on bee activity is investigated, showing that bees with robust circadian rhythms are more sensitive. In addition, the contribution of physical contact interactions to activity transmission within the colony is examined, which may form a component of social learning of circadian rhythms.

Master of Science (M.Sc.)