2020
DOI: 10.1101/2020.03.31.017582
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Measuring ontogenetic shifts in central-place foraging insects: a case study with honey bees

Abstract: 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 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

1
8
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(9 citation statements)
references
References 63 publications
(121 reference statements)
1
8
0
Order By: Relevance
“…We then calculated the age of first exit and entrance sequence (AFE, in days), the lifespan (i.e. the age at last exit) and AOF for each bee using the aof function developed in the aof R-package [ 47 , 54 ]. The aof function is a simple statistical procedure, derived from the behavioural change point analysis approach [ 55 ], a well-appreciated technique of likelihood comparisons to statistically determine behavioural changes.…”
Section: Methodsmentioning
confidence: 99%
See 4 more Smart Citations
“…We then calculated the age of first exit and entrance sequence (AFE, in days), the lifespan (i.e. the age at last exit) and AOF for each bee using the aof function developed in the aof R-package [ 47 , 54 ]. The aof function is a simple statistical procedure, derived from the behavioural change point analysis approach [ 55 ], a well-appreciated technique of likelihood comparisons to statistically determine behavioural changes.…”
Section: Methodsmentioning
confidence: 99%
“…The aof function works at the individual level thus accounting for inter-individual variation to detect, assess and quantify shifts in the temporal pattern of time-activity budgets recorded by individual lifelong monitoring. Indeed, a clear breakpoint in duration, frequency and time of occurrence in the day was found between learning and foraging flights of honeybees, so-called AOF [ 47 ]. Thus, AOF is estimated from three daily activities, (i) the number of exit and entrance sequences per day, (ii) the duration of these sequences, and (iii) the hour of the day that they were performed.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations