CHAPTER 9. The Microcosm of the Brood Cell: A Bestiary of In- Nest Mutualists

2019 ◽  
pp. 224-239
Keyword(s):  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Katarzyna Bozek ◽  
Laetitia Hebert ◽  
Yoann Portugal ◽  
Greg J. Stephens

AbstractFrom cells in tissue, to bird flocks, to human crowds, living systems display a stunning variety of collective behaviors. Yet quantifying such phenomena first requires tracking a significant fraction of the group members in natural conditions, a substantial and ongoing challenge. We present a comprehensive, computational method for tracking an entire colony of the honey bee Apis mellifera using high-resolution video on a natural honeycomb background. We adapt a convolutional neural network (CNN) segmentation architecture to automatically identify bee and brood cell positions, body orientations and within-cell states. We achieve high accuracy (~10% body width error in position, ~10° error in orientation, and true positive rate > 90%) and demonstrate months-long monitoring of sociometric colony fluctuations. These fluctuations include ~24 h cycles in the counted detections, negative correlation between bee and brood, and nightly enhancement of bees inside comb cells. We combine detected positions with visual features of organism-centered images to track individuals over time and through challenging occluding events, recovering ~79% of bee trajectories from five observation hives over 5 min timespans. The trajectories reveal important individual behaviors, including waggle dances and crawling inside comb cells. Our results provide opportunities for the quantitative study of collective bee behavior and for advancing tracking techniques of crowded systems.


Science ◽  
1979 ◽  
Vol 204 (4391) ◽  
pp. 415-417 ◽  
Author(s):  
A. HEFETZ ◽  
H. M. FALES ◽  
S. W. T. BATRA

2008 ◽  
pp. 575-575
Author(s):  
Colin Berry ◽  
Jason M. Meyer ◽  
Marjorie A. Hoy ◽  
John B. Heppner ◽  
William Tinzaara ◽  
...  
Keyword(s):  

Author(s):  
Katarzyna Bozek ◽  
Laetitia Hebert ◽  
Yoann Portugal ◽  
Greg J. Stephens

AbstractWe present a comprehensive, computational method for tracking an entire colony of the honey bee Apis mellifera using high-resolution video on a natural honeycomb background. We adapt a convolutional neural network (CNN) segmentation architecture to automatically identify bee and brood cell positions, body orientations and within-cell states. We achieve high accuracy (~10% body width error in position, ~10° error in orientation, and true positive rate > 90%) and demonstrate months-long monitoring of sociometric colony fluctuations. We combine extracted positions with rich visual features of organism-centered images to track individuals over time and through challenging occluding events, recovering ~79% of bee trajectories from five observation hives over a span of 5 minutes. The resulting trajectories reveal important behaviors, including fast motion, comb-cell activity, and waggle dances. Our results provide new opportunities for the quantitative study of collective bee behavior and for advancing tracking techniques of crowded systems.


Behaviour ◽  
1979 ◽  
Vol 71 (3-4) ◽  
pp. 203-244 ◽  
Author(s):  
H. Jane Brockmann ◽  
Richard Dawkins

AbstractOne suggested evolutionary origin of insect sociality is joint nesting by females of the same generation. Long before selection favoured joint nesting itself, it might have favoured some other incidental preadaptation such as the habit of 'entering' abandoned burrows, found in the usually solitary wasp Splaex ichneumoneus. We have comprehensive economic records of individually marked wasps. There is little evidence of consistent individual variation in nesting success. Wasps often abandon the nests they have dug, and other individuals adopt or 'enter' these empty burrows. 'Dig/Enter' is a good candidate for a mixed evolutionarily stable strategy : digging and entering decisions are not characteristic of particular individuals; the probability of entering is not conditional upon whether it is early or late in the season; there is no correlation between an individual's size and her tendency to dig or enter; there is no correlation between an individual's egg-laying success and her tendency to dig or enter; individuals do not choose to dig or enter on the basis of immediate past success; individuals do not dig and enter in runs, nor do they alternate; wasps do not choose to dig or enter on the basis of how long they have been searching. At one study site digging and entering decisions are roughly equally successful, but at another entering decisions are perhaps slightly more successful. Entering wasps seem not to distinguish empty, abandoned burrows from burrows that are still occupied. As a consequence of indiscriminate entering, two females sometimes co-occupy the same burrow. Co-occupation should not be called 'communal' because the wasps usually share the same brood cell, not just the same burrow. One might expect that wasps would gain some benefit from co-occupying, but they do not, for a number of reasons: only one egg is laid in a shared cell, and obviously only one of the two wasps can lay it; two wasps together do not fetch noticeably more food than one alone; two wasps together are no quicker at provisioning a cell than one wasp alone; wasps sometimes duplicate each others' efforts when they co-occupy a nest; co-occupying wasps often have costly fights. About all that can be said for joint nesting is that it may reduce parasitism. The risk of joint nesting is the price wasps pay for the advantages of taking over an already dug and abandoned burrow. A mathematical model assuming 'dig/enter' as a mixed evolutionarily stable strategy has some predictive success. If the parameters changed quantitatively, the Sphex model could come to predict selection in favour of joint nesting as such. The selection pressures would have to be very strong to overcome the demonstrated disadvantages of co-occupying. Variants of the Sphex model may be applicable to other species, and may help our understanding of the evolution of group living. The theory of evolutionarily stable strategies is relevant not just to the maintenance of behaviour but to its evolutionary change.


Zootaxa ◽  
2018 ◽  
Vol 4415 (2) ◽  
pp. 297 ◽  
Author(s):  
ANDREAS MÜLLER

Hoplosmia, a subgenus of the osmiine bee genus Osmia (Megachilidae), comprises 21 species restricted to the Palaearctic region. Analysis of female pollen loads and field observations indicate that probably all O. (Hoplosmia) species are specialized on Asteraceae except for one pollen generalist species, which exhibits a preference for the pollen of Cistaceae. Among the Asteraceae specialists, differences exist with respect to the three main Asteraceae subfamilies exploited for pollen, with some species exclusively visiting Carduoideae, others exploiting only Asteroideae and Cichorioideae and again others collecting pollen on Asteroideae, Carduoideae and Cichorioideae. All O. (Hoplosmia) species build their brood cells within preexisting cavities: several species exclusively nest in empty snail shells, few species use small cavities in rock and stones and the remaining species colonize linear cavities in dead wood and plant stems or nest in abandoned burrows of other bees and wasps. Chewed leaves serve as material to construct brood cell partitions and nest plug except for two species, which use mud as nest building material. The taxonomic revision of O. (Hoplosmia) revealed the existence of an undescribed species, O. centaureae spec. nov., which occurs in a small area that ranges from the Dead Sea over the Jordan Valley to northernmost Israel. Due to clear morphological gaps and widely disjunct distribution with the nominotypical subspecies, O. pinguis carbo (Zanden 1974) is elevated to species rank. Based on morphology and biology, three species groups are recognized within Hoplosmia. Identification keys for all O. (Hoplosmia) species are given including the hitherto unknown male or female sex of three species. 


2009 ◽  
Vol 50 (3) ◽  
pp. 269-279 ◽  
Author(s):  
Matías Maggi ◽  
Natalia Damiani ◽  
Sergio Ruffinengo ◽  
David De Jong ◽  
Judith Principal ◽  
...  

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