Temperature Sensing and Honey Bee Colony Strength

Strength auditing of European honey bee (Apis mellifera Linnaeus, 1758 [Hymenoptera: Apidae]) colonies is critical for apiarists to manage colony health and meet pollination contracts conditions. Colony strength assessments used during pollination servicing in Australia typically use a frame-top clu...

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Bibliographic Details
Published in:Journal of economic entomology 2022-06, Vol.115 (3), p.715-723
Main Authors: Cook, Daniel, Tarlinton, Boyd, McGree, James M., Blackler, Alethea, Hauxwell, Caroline
Format: Article
Language:English
Subjects:
APICULTURE & SOCIAL INSECTS
Apis mellifera
Bees
Colonies
Diurnal
Honey
honey bee
Honeybee
Mathematical models
Plant reproduction
Pollination
Sensors
Statistical analysis
Statistical models
strength
temperature
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Summary:Strength auditing of European honey bee (Apis mellifera Linnaeus, 1758 [Hymenoptera: Apidae]) colonies is critical for apiarists to manage colony health and meet pollination contracts conditions. Colony strength assessments used during pollination servicing in Australia typically use a frame-top cluster-count (Number of Frames) inspection. Sensing technology has potential to improve auditing processes, and commercial temperature sensors are widely available. We evaluate the use and placement of temperature sensing technology in colony strength assessment and identify key parameters linking temperature to colony strength. Custom-built temperature sensors measured hive temperature across the top of hive brood boxes. A linear mixed-effect model including harmonic sine and cosine curves representing diurnal temperature fluctuations in hives was used to compare Number of Frames with temperature sensor data. There was a significant effect of presence of bees on hive temperature and range: hives without bees recorded a 5.5°C lower mean temperature and greater temperature ranges than hives containing live bees. Hives without bees reach peak temperature earlier than hives with bees, regardless of colony strength. Sensor placement across the width of the hive was identified as an important factor when linking sensor data with colony strength. Data from sensors nearest to the hive geometric center were found to be more closely linked to colony strength. Furthermore, a one unit increase in Number of Frames was significantly associated with a mean temperature increase of 0.36°C. This demonstrates that statistical models that account for diurnal temperature patterns could be used to predict colony strength from temperature sensor data.
ISSN:0022-0493
1938-291X
DOI:10.1093/jee/toac034