13 7 INRAE, UE 1255 APIS "Abeilles paysages interactions et systèmes de culture", Abstract 27 1. Measuring time-activity budgets over the complete individual lifespan is now 28 possible for many animals with the recent advances of life-long individual 29 monitoring devices. Although analyses of changes in the patterns of time-activity 30 budgets have revealed ontogenetic shifts in birds or mammals, no such technique 31has been applied to date on insects. 32 2. We tested an automated breakpoint-based procedure to detect, assess and 33 quantify shifts in the temporal pattern of the flight activities in honey bees. We 34 assumed that the learning and foraging stages of honey bees will differ in several 35 respects, to detect the age at onset of foraging (AOF). 36 3. Using an extensive dataset covering the life-long monitoring of 2,100 individuals, 37 we compared the AOF outputs with the more conventional approaches based on 38 arbitrary thresholds. We further evaluated the robustness of the different methods 39 comparing the foraging time-activity budget allocations between the presumed 40 foragers and confirmed foragers.41 4. We revealed a clear-cut learning-foraging ontogenetic shift that differs in duration, 42 frequency, and time of occurrence of flights. Although AOF appeared to be highly 43 plastic among bees, the breakpoint-based procedure seems better able to detect it 44 than arbitrary threshold-based methods that are unable to deal with inter-individual 45 variation. 46 5. We developed the aof R-package including a broad range of examples with both 47 simulated and empirical dataset to illustrate the simplicity of use of the procedure.48 This simple procedure is generic enough to be derived from any individual life-long 49 monitoring devices recording the time-activity budgets of honey bees, and could 50 3 propose new ecological applications of bio-logging to detect ontogenetic shifts in 51 the behaviour of central-place foraging insects. 52 53