Observation Hives Research Articles

Age-related task progression in two Australian Tetragonula stingless bees

Stingless bees are a widespread group of highly social bees found in tropical regions throughout much of the world. Despite an impressive diversity, relatively little is known about worker behaviour and division of labour. In this study, we investigate the progression of colony tasks over the lifespan of worker bees in colonies of the two most commonly kept Australian species: Tetragonula carbonaria and T. hockingsi. We marked cohorts of 25–100 newly emerged female bees with a paint dot and released them back into colonies housed in observation hives before recording twice weekly behaviours of marked bees within the nest. Foragers were observed through a clear plastic entrance tube. We replicated this with 5–6 marked cohorts across three colonies for each species. We found the two species were similar to each other in the frequency and age distribution of behaviours. Young worker bees were mostly found cleaning, filling or constructing brood cells and collecting honey from food pots. Middle aged bees were more likely to build or maintain food pots or supporting structures, with guarding and foraging occupying the oldest bees. There was, however, significant overlap in timing of tasks. Moreover, fast cohorts progressed to foraging in less than half the time of the slowest cohorts. Despite subtle differences between our Tetragonula species and other stingless bees, it adds to the evidence that progression from safe to risky jobs with age is an ancestral feature shared across stingless bees, and has similarities to honeybees despite an independent evolutionary origin.

Honey bee colony behavior and ontogeny are adversely affected when exposed to a pesticide-contaminated environment.

Honey bees exhibit age polyethism and thus have a predictable sequence of behaviors they express through developmental time. Numerous laboratory studies show exposure to pesticides may impair critical honey bee behaviors (brood care, foraging, egg-laying, etc.) that adversely affect colony productivity and survival. There are fewer studies that examine the impacts of pesticides in natural field settings, especially given the challenges of implementing treatment groups and controlling variables. This study helps address the need for impact studies on pollinators under field conditions to assess the consequences of chemical overuse and dependency in agricultural and urban landscapes. To assess the impact of systemic pesticides in a natural field setting on worker bee behavioral development, observation hives were established to monitor changes in behaviors of similarly aged workers and sister queens within 2 experimental groups: (i) colonies located near point-source systemic pesticide pollution (pesticide contaminated treatment), and (ii) colonies embedded within a typical Midwestern US agricultural environment (control). In this study, worker bees in the contaminated environment exhibited important and biologically significant behavioral differences and accelerated onset of hive tasks (i.e., precocious behavioral development) compared to similarly aged bees at the control site. Queen locomotion was largely unaffected; however, the egg-laying rate was reduced in queens at the contaminated (treated) site. These results show that environmental pesticide exposure can disrupt colony function and adversely affect worker bee behavioral maturation, leading to reduced worker longevity and decreased colony efficiency.

Dynamics of honey bee colony death and its implications for Varroa destructor mite transmission using observation hives

Dynamics of honey bee colony death and its implications for Varroa destructor mite transmission using observation hives

Honey bees reared in isolation adhere to normal age-related division of labor when reintroduced into a colony

Early social experiences during developmental life stages have been demonstrated to influence adult behavior in vertebrates and invertebrates. However, cooperative behaviors observed in social insects are often regarded as simple instinctual responses to positive and negative feedback. Here we test if rearing environment influences the resulting adult bee’s somewhat predictable progression through a series of age-related tasks (temporal polyethism). Honey bee larvae were reared either in their parental colony, or artificially in the laboratory. Newly emerged adults were individually identified and introduced into a single observation hive where their behavior was observed three times a day for 28 days. In vitro-reared bees were observed engaging in every behavior in which colony-reared bees engaged including: attending the queen, manipulating wax comb, defending the hive entrance, and foraging. Moreover, in vitro-reared bees appeared to be responding appropriately to colony-level cues that coordinate task allocation within age-related polyethism. However, in vitro-reared bees did suffer detectably reduced lifespans. Further research, potentially incorporating methods such as establishing colonies composed exclusively of in vitro-reared bees, would offer additional insight into the plasticity of honey bee behaviors.

The impact of smoke and fogged/vaporized thyme oil on honey bee (Apis mellifera) survival and behavior in vitro

Essential oils, such as thyme oil, are natural chemicals used to treat Varroa destructor infestations in western honey bee (Apis mellifera L.) colonies. We compared the effects of thyme oil/mineral oil mixtures delivered with an insect fogger or vaporizer to those of smoke from a smoker on the mortality and behavior of adult honey bees (Apis mellifera). Thyme oil delivered by fogging significantly increased caged bee mortality over that of the controls. The behaviors of thyme oil-treated bees in the observation hives were somewhat similar to those of the control bees exposed to smoke.

The Lifelog Monitoring System for Honeybees: RFID and Camera Recordings in an Observation Hive

A typical honeybee colony contains more than 15,000 individuals, each with its own task related to supporting the hive and maintaining the colony. In previous studies on honeybees, observing individual animals’ behaviors has been a difficult and time-consuming task to understand the relationship between in-hive communication and environmental changes outside the hive, therefore it is necessary in any attempt to develop applying a remote sensing technology. To allow researchers to pass much of this tracking work on to computers, we have developed the lifelog monitoring system for honeybees, which uses RFID and Raspberry Pi camera recordings. Our preliminary experiments consisted of several tests aimed at identifying the optimal conditions for this system. First, two commercial RFID readers with antennas were compared in terms of their sensitivity to signals from RFID tags placed at various distances. We found that the UP16-1000-J2 reader was much more sensitive and had a longer effective range compared to the UP4-200-J2. The most sensitive region in the RFID antenna on the UP16-1000-J2 reader was 30 mm long and 5 mm wide at its center. Based on this preliminary information, we designed and built a passage from the interior of the observation hive to the outside so that all RFID-tagged bees could be detected individually by the RFID reader as they walked through the passage. Moreover, to detect the direction of either departure or arrival of each bee, we placed two RFID antennas under the passage between the observation hive and the outside, one near each end of the passage. All departure and arrival times of RFID-tagged bees were detected with their ID numbers. Using recorded data from these two RFID readers, we could measure how much time each tagged bee spent outside the hive. In addition to RFID recording on the passage, we also tracked all in-hive movements of numbered RFID-tagged honeybees. In-hive movements were simultaneously, comprehensively and automatically recorded via six Raspberry Pi camera modules arranged on the two sides of the observation hive. The cameras were set to record from 6:30 to 19:30 every day for one month, once or twice each year from 2015 to 2018. The in-hive behaviors of these bees were analyzed according to a simultaneous tracking algorithm that we developed for this purpose. Data from the monitoring system revealed that time spent outside the hive increased markedly after following the waggle dance. In addition to its findings on bee behavior, this study also confirms the effectiveness of our recording system combining RFID and Raspberry Pi cameras for honeybee lifelog monitoring.

Markerless tracking of an entire honey bee colony

From 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.

Social Fever or General Immune Response? Revisiting an Example of Social Immunity in Honey Bees.

Simple SummaryBehavioral, or social fever in honey bees is frequently cited as a form of social immunity—the behavioral, organizational, and physiological mechanisms that social organisms use to defend against parasites and pathogens to maintain group health. It has been shown previously that colonies elevate brood nest temperature as a response to challenge with the fungal pathogen, Ascosphaera apis, the causative agent of chalkbrood disease in honey bees. Our objective was to test whether we could replicate social fever and its effect on reducing signs of chalkbrood disease in colonies using methods similar to previous reports. We affirmed that honey bees increase the temperature of the brood nest after exposure to A. apis. However, the magnitude of temperature increase was insufficient at preventing infection, as all colonies showed signs of chalkbrood post-exposure. We conducted additional studies to explore alternative hypotheses related to the cause and effect of behavioral fever. We found that challenge with A. apis resulted in an increased immune response of adult bees, but this activation was not due to thermal and other stress, as measured by expression of the heat stress and nutritional genes, Hsp 70Ab-like and vitellogenin, respectively. We proposed additional hypotheses that could be tested.Honey bees use several strategies to protect themselves and the colony from parasites and pathogens. In addition to individual immunity, social immunity involves the cumulative effort of some individuals to limit the spread of parasites and pathogens to uninfected nestmates. Examples of social immunity in honey bees that have received attention include hygienic behavior, or the removal of diseased brood, and the collection and deposition of antimicrobial resins (propolis) on interior nest surfaces. Advances in our understanding of another form of social immunity, social fever, are lacking. Honey bees were shown to raise the temperature of the nest in response to temperature-sensitive brood pathogen, Ascosphaera apis. The increase in nest temperature (−0.6 °C) is thought to limit the spread of A. apis infection to uninfected immatures. We established observation hives and monitored the temperature of the brood nest for 40 days. This observation period was broken into five distinct segments, corresponding to sucrose solution feedings—Pre-Feed, Feed I, Challenge, Feed II, and Post-Feed. Ascosphaera apis was administered to colonies as a 1% solution of ground sporulating chalkbrood mummies in 50% v/v sucrose solution, during the Challenge period. Like previous reports, we observed a modest increase in brood nest temperature during the Challenge period. However, all hives presented signs of chalkbrood disease, suggesting that elevation of the nest temperature was not sufficient to stop the spread of infection among immatures. We also began to explore the molecular mechanisms of temperature increase by exposing adult bees in cages to A. apis, without the presence of immatures. Compared to adult workers who were given sucrose solution only, workers exposed to A. apis showed increased expression of the antimicrobial peptides abaecin (p = 0.07) and hymenoptaecin (p = 0.04), but expression of the heat shock response protein Hsp 70Ab-like (p = 0.76) and the nutritional marker vitellogenin (p = 0.72) were unaffected. These results indicate that adult honey bee workers exposed to a brood pathogen elevate the temperature of the brood nest and initiate an immune response, but the effect of this fever on preventing disease requires further study.

Slumber in a cell: honeycomb used by honey bees for food, brood, heating… and sleeping.

Sleep appears to play an important role in the lives of honey bees, but to understand how and why, it is essential to accurately identify sleep, and to know when and where it occurs. Viewing normally obscured honey bees in their nests would be necessary to calculate the total quantity and quality of sleep and sleep’s relevance to the health and dynamics of a honey bee and its colony. Western honey bees (Apis mellifera) spend much of their time inside cells, and are visible only by the tips of their abdomens when viewed through the walls of an observation hive, or on frames pulled from a typical beehive. Prior studies have suggested that honey bees spend some of their time inside cells resting or sleeping, with ventilatory movements of the abdomen serving as a telltale sign distinguishing sleep from other behaviors. Bouts of abdominal pulses broken by extended pauses (discontinuous ventilation) in an otherwise relatively immobile bee appears to indicate sleep. Can viewing the tips of abdomens consistently and predictably indicate what is happening with the rest of a bee’s body when inserted deep inside a honeycomb cell? To distinguish a sleeping bee from a bee maintaining cells, eating, or heating developing brood, we used a miniature observation hive with slices of honeycomb turned in cross-section, and filmed the exposed cells with an infrared-sensitive video camera and a thermal camera. Thermal imaging helped us identify heating bees, but simply observing ventilatory movements, as well as larger motions of the posterior tip of a bee’s abdomen was sufficient to noninvasively and predictably distinguish heating and sleeping inside comb cells. Neither behavior is associated with large motions of the abdomen, but heating demands continuous (vs. discontinuous) ventilatory pulsing. Among the four behaviors observed inside cells, sleeping constituted 16.9% of observations. Accuracy of identifying sleep when restricted to viewing only the tip of an abdomen was 86.6%, and heating was 73.0%. Monitoring abdominal movements of honey bees offers anyone with a view of honeycomb the ability to more fully monitor when and where behaviors of interest are exhibited in a bustling nest.

Foraging of honey bees in agricultural landscapes with changing patterns of flower resources

The demand for crop pollination is increasing and honey bees are frequently used, in particular as wild pollinators are in decline. Temporal and spatial variation of flower resources affects foraging decisions of wild and honey bees. To optimise crop pollination management a better understanding of potential competition for pollinators in mass- and minor-flowering crops is needed.We combined waggle dance decoding, pollen load analysis and field surveys to identify the habitat preferences and pollen use of honey bees in response to spatio-temporal changes in resource availability. Observation hives were placed on the edge of eleven fields of blooming strawberries (mean 2.24 ha) located in landscapes with different amounts of oilseed rape (OSR), semi-natural habitats (SNH) and apple trees in Germany. In addition, we surveyed honey bees and wild bees in strawberry fields.Honey bee dances more often indicated strawberry, OSR fields and SNH than expected given their landscape-wide areas. Honey bees collected on average 7.9 % strawberry, 49.0 % OSR, 30.2 % Pyrus type (e.g. apple) and 12.9 % other pollen types. The mean honey bee foraging distance was 740 m, and decreased with OSR availability. In the observation hives, dances for strawberry fields were not directly affected by OSR availability or SNH land cover. But large amounts of OSR reduced overall honey bee and bumble bee abundance in strawberry fields, while solitary bees were unaffected. Bumble bees were most abundant in strawberry fields (54.1%) and together with solitary bees (19.7%) they represented about 75.0% of the observed bees.Minor-flowering strawberry fields represent a preferred resource for honey bees, especially for small colonies as indicated by decoding of waggle dances. However, the availability of more attractive OSR and local strawberry flower cover moderates the abundance of social bees (honey bees and bumble bees) in strawberry fields while other wild bees were less affected. Hence, we conclude that wild bee conservation plays a major role for strawberry pollination. If pollination services by solitary bees are limited, small honey bee hives can be used scrupulously to supplement pollination services in strawberries.

Honeybees use various criteria to select the site for performing the waggle dances on the comb

After returning to the hive, successful honeybee foragers dance on the surface of the comb, where they interact with dance followers. It has been shown that bees establish a specific site for their waggle dances that is likely marked with chemical signals. By recording the site where dances take place on the comb in a single-frame observation hive, we investigated the relative importance of three different criteria for the selection of the dance floor by bees, including the distance from the hive entrance, the cell filling, and the chemical marking by bees and found that all these criteria play a role, albeit their importance does not seem to be equal. The existence of a dance floor, where forager bees perform most waggle dances after returning to the hive, was first reported by von Frisch and later confirmed by various authors; however, the factors affecting the choice of a certain site, for this purpose, by bees have not received so far sufficient attention. Besides confirming the existence of a specific site on the comb where bees prefer to dance, we clarified the criteria used by bees for establishing this site, showing that both the distance from the entrance, the quality of the comb, and the chemical marking by bees play a role.

The gut microbiome is associated with behavioural task in honey bees

The gut microbiome is recognised as playing an integral role in the health and ecology of a wide variety of animal taxa. However, the relationship between social behavioural traits and the microbial community has received little attention. Honey bees are highly social and the workers perform different behavioural tasks in the colony that cause them to be exposed to different local environments. Here we examined whether the gut microbial community composition of worker honey bees is associated with the behavioural tasks they perform, and therefore also the local environment they are exposed to. We set up five observation hives, in which all workers were matched in age and observed the behaviour of marked bees in each colony over 4 days. The gut bacterial communities of bees seen performing predominantly foraging or predominantly in nest tasks were then characterised and compared based on amplicon sequencing of the 16S rRNA gene. Our results show that some core members of the unique honey bee gut bacterial community are represented in different relative abundances in bees performing different behavioural tasks. The differentially represented bacterial taxa include some thought to be important in carbohydrate metabolism and transport, and also linked to bee health. The results suggest an influence of task-related local environment exposure and diet on the honey bee gut microbial community and identify focal core taxa for further functional analyses.

Just Another Manic Monad: Of Glass, Bees, and Glass Bees

Just Another Manic Monad:Of Glass, Bees, and Glass Bees Dominic Pettman (bio) The Garden in the Machine We are all haunted by the possibility that there may be some hope for the future. —Ernst Jünger Coal mines have canaries, but aboveground we have bees.1 Colony collapse disorder is often considered a sign that the entire ecological machine is about to seize, sputter, and die. As with the global economy, the environment appears at once fragile, in peril, mysterious, vengeful, and somewhat numinous. It transcends our ability to think it holistically even as it affects our lives in very tangible and direct ways. Given the extent to which human industry impacts climate and species, the very distinction between economy and ecology—itself a modern phenomenon—may soon seem impossibly quaint. The bees, who are as industrious as any entrepreneur, seem to be the latest sacrifice to our Malthusian economic overlords.2 Beginning in the 1930s, Austrian naturalist Karl von Frisch opened humanity's two meager eyes to the honey bee's remarkable society. Over a lifetime of painstaking experimentation and [End Page 62] observation, Frisch realized that bees communicate both food sources and potential new hive sites through an alien choreography he dubbed "the waggle dance." Suddenly the presumed human monopoly on symbolic communication was under threat, as bees were observed conveying information "by social convention, tacit agreement, or explicit code."3 In his brilliant book Insectopedia, Hugh Raffles peels back the complex scientific, political, historical, and ethological layers around Frisch and his enigmatic buzzing objects of study. Raffles highlights the paradoxes and ambivalences of a scientific mind persecuted by the Nazis (Frisch refused to allegorize the hive for the propaganda purposes of national socialism). But he was also perfectly comfortable with mutilating hundreds of individual bees—a creature he was inordinately fond of—in sadistic experiments designed to yield their collective secrets. On occasion, Frisch would become disappointed with specific subjects or an entire colony when they did not reveal enough or appeared to prefer "resting" than diligently performing for his interspecies ethnography. On other occasions, the bees seemed almost too obliging in respect to his hypothesis to the extent that Frisch would begin to suspect that his own presence helped create "a sort of scientific bee."4 Born in 1895, nearly a decade after Frisch, novelist, soldier, and entomologist Ernst Jünger also became interested in bees, especially scientific ones.5 Whereas Frisch once put a Trojan wooden bee in one of his observation hives, only to watch it be stung mercilessly by the real inhabitants as an alien intruder, the erudite warrior wrote a novel about a near future featuring a swarm of glass bees, superseding their organic models. Written in 1957, Jünger's The Glass Bees uncannily predicts and depicts the cybernetic world in which we find ourselves today: a world in which "we are all watched over by machines of loving grace" (to quote Richard Brautigan).6 While others have written on the specific place and significance of this novel within Jünger's biography, philosophy, and dynamically evolving thinking about the nature of war, technology, and, well, "nature" itself, I am more interested in the ways in which this singular text "speaks to" the present with its own voice and with its own uncanny urgency. (This uncanniness is amplified by its proleptic descriptions of today's dispirited Zeitgeist, in terms of neoliberal labor practices, technocultural arrangements, domesticated eschatologies, [post]historical impasses, interpersonal reifications, managed affects, and ecological dread. The world that Jünger depicts is a somewhat abstract portrait of a serene bucolic work campus shot through with distributed dystopian moments and materials.) What follows is not a historicist literary analysis of The Glass Bees, even as it [End Page 63] takes "history"—as the name for a certain type of collective exhaustion or foreclosure—to be one of the book's primary themes. Rather, it is a discussion of the ways in which this text anticipates and "premediates," in Richard Grusin's sense, the stagnant form of accelerated pseudoprogress embodied and even celebrated by our technocratic telepresent.7 Jünger's unsettling vision will help us craft some lenses with...

Automatic detection and decoding of honey bee waggle dances.

The waggle dance is one of the most popular examples of animal communication. Forager bees direct their nestmates to profitable resources via a complex motor display. Essentially, the dance encodes the polar coordinates to the resource in the field. Unemployed foragers follow the dancer’s movements and then search for the advertised spots in the field. Throughout the last decades, biologists have employed different techniques to measure key characteristics of the waggle dance and decode the information it conveys. Early techniques involved the use of protractors and stopwatches to measure the dance orientation and duration directly from the observation hive. Recent approaches employ digital video recordings and manual measurements on screen. However, manual approaches are very time-consuming. Most studies, therefore, regard only small numbers of animals in short periods of time. We have developed a system capable of automatically detecting, decoding and mapping communication dances in real-time. In this paper, we describe our recording setup, the image processing steps performed for dance detection and decoding and an algorithm to map dances to the field. The proposed system performs with a detection accuracy of 90.07%. The decoded waggle orientation has an average error of -2.92° (± 7.37°), well within the range of human error. To evaluate and exemplify the system’s performance, a group of bees was trained to an artificial feeder, and all dances in the colony were automatically detected, decoded and mapped. The system presented here is the first of this kind made publicly available, including source code and hardware specifications. We hope this will foster quantitative analyses of the honey bee waggle dance.

Automated computer-based detection of encounter behaviours in groups of honeybees

Honeybees form societies in which thousands of members integrate their behaviours to act as a single functional unit. We have little knowledge on how the collaborative features are regulated by workers’ activities because we lack methods that enable collection of simultaneous and continuous behavioural information for each worker bee. In this study, we introduce the Bee Behavioral Annotation System (BBAS), which enables the automated detection of bees’ behaviours in small observation hives. Continuous information on position and orientation were obtained by marking worker bees with 2D barcodes in a small observation hive. We computed behavioural and social features from the tracking information to train a behaviour classifier for encounter behaviours (interaction of workers via antennation) using a machine learning-based system. The classifier correctly detected 93% of the encounter behaviours in a group of bees, whereas 13% of the falsely classified behaviours were unrelated to encounter behaviours. The possibility of building accurate classifiers for automatically annotating behaviours may allow for the examination of individual behaviours of worker bees in the social environments of small observation hives. We envisage that BBAS will be a powerful tool for detecting the effects of experimental manipulation of social attributes and sub-lethal effects of pesticides on behaviour.

Honey bees dance faster for pollen that complements colony essential fatty acid deficiency

Honey bee colonies require adequate pollen for maintenance and growth. Pollens vary in nutritional value, and a balanced diet is achieved by mixing pollens with complementary essential nutrients. We tested subjective evaluation of pollens by foragers in colonies deprived of one of two essential fatty acids (eFAs), alpha-linolenic acid (omega-3) or linoleic acid (omega-6). We used four pollens, two rich in omega-3 and two rich in omega-6. A colony in an observation hive was allowed to forage for 2–5 days on a single pollen source. The following day, we repeatedly presented one of three pollens: the same pollen that the bees had been collecting the previous days, a novel pollen that was similarly deficient in omega-3 or omega-6, and a novel pollen that complemented their eFA deficiency. We measured the rate of waggle dances, which reflects on the strength of recruitment effort, of foragers returning to the observation hive from each of the pollens. Dance rates did not differ between the four pollens, but they were the highest to the “complementary” pollen and the lowest to the “same” pollen. Furthermore, this effect was greater for pollen combinations with greater eFA disparity between the same and the complementary pollens. Our findings support the ability of bees to balance colony eFA intake. Conditioning of the proboscis extension response (PER) tests showed that pollen foragers discriminated well between the four pollen odors, but the mechanisms by which bees assess pollen eFA composition remain to be elucidated. Differential dancing would recruit foragers to pollens that balance colony nutritional needs. Honey bee foragers use dance communication to recruit nestmates to floral sources, with higher dance rates representing greater subjective evaluation of the floral source by the dancer. We fed colonies for a few days with a single pollen source, which was poor in one eFA (omega-3 or omega-6) and rich in the other. We then recorded the dances of foragers that collected each of the three pollens: the same pollen that the bees had been collecting the previous days, a novel pollen that was similarly deficient in omega-3 or omega-6, and a novel pollen that complemented their eFA deficiency. Dance rates were the highest to the “complementary” pollen and the lowest to the “same” pollen, showing that a colony could differentially recruit foragers to pollens that balance its nutritional needs.

The Effects of Some Drugs Used to Treat Honeybee (Apis mellifera L.) Diseases and Pests on Lifespan of Honeybees

This study was conducted to determine the effects of Bayvarol®, Fumidil-B®, Neo-Terramycin® on adult honeybee lifespan. Total twenty honeybee colonies were used and randomly divided into four groups (each group consisted of five colonies). Experimental groups: Bayvarol ®, Fumidil-B® and Neo-Terramycin® were treated to first, second and third groups, respectively. No treatment was done to forth group taken as control group. A hundred one day old worker bees were taken from each group and marked with different colors and numbered on the thorax. After the marked, all worker bees were given into the observation hive. Marked worker bees were controlled and counted daily. Statistical analysis of data was done by variance analysis method and between groups comparisons were done with Duncan's multiple range tests. Average lifespans of the first, second, third and control groups were 44.97±4.90, 46.86±6.56, 45.38±6.12 and 47.72±6.06 days, respectively. There were found statistically significant differences among average lifespan of first, second, third and control groups. This study showed that some drugs used to treat diseases and pests reasoned a negative effect on the lifespan of honeybees.

Honey bee sociometry: tracking honey bee colonies and their nest contents from colony founding until death

Sociometry is the description and analysis of the physical and numerical attributes of social insect colonies over their lifetimes. Sociometric data, such as worker number and nest size are essential for understanding how colonies develop but are rarely collected. Even Apis mellifera, the most intensively studied social insect, has never received a broad-scale sociometric study. To help fill this gap, we monitored four honey bee colonies living in large observation hives from when they began as swarms (July 2012), to when they died (January 2014). We tracked multiple colony parameters, including worker and drone populations, comb area and use, swarming rate, and colony death. Each colony’s life history is described through its founding, ergonomic, and reproductive stages.

Automatic methods for long-term tracking and the detection and decoding of communication dances in honeybees

The honeybee waggle dance communication system is an intriguing example of abstract animal communication and has been investigated thoroughly throughout the last seven decades. Typically, observables such as durations or angles are extracted manually directly from the observation hive or from video recordings to quantify dance properties, particularly to determine where bees have foraged. In recent years, biology has profited from automation, improving measurement precision, removing human bias, and accelerating data collection. As a further step, we have developed technologies to track all individuals of a honeybee colony and detect and decode communication dances automatically. In strong contrast to conventional approaches that focus on a small subset of the hive life, whether this regards time, space, or animal identity, our more inclusive system will help the understanding of the dance comprehensively in its spatial, temporal, and social context. In this contribution, we present full specifications of the recording setup and the software for automatic recognition and decoding of tags and dances, and we discuss potential research directions that may benefit from automation. Lastly, to exemplify the power of the methodology, we show experimental data and respective analyses for a continuous, experimental recording of nine weeks duration.

Observation Bee Hives

The use of observation bee hives continues to interest a variety of people. This is not surprising. The observation hive is one of the primary research and educational tools in apiculture. It is both educational and entertaining. Observation bee hives can be used to enhance public relations and marketing programs. But a great deal of time and energy is needed to set up a hive and keep it going. Maintenance can be expensive and time consuming, especially if the hive is to be used as a permanent display for the general public. This 3-page fact sheet provides sources for building observation hives and tips for maintenance. Written by David Hall, James D. Ellis, and Malcolm Sanford, and published by the UF Department of Entomology and Nematology, March 2015. (UF/IFAS photo by Tyler Jones) ENY131/MG320: Observation Bee Hives (ufl.edu)