Temperature Sensing and Honey Bee Colony Strength

Author:

Cook Daniel1ORCID,Tarlinton Boyd1ORCID,McGree James M2ORCID,Blackler Alethea3ORCID,Hauxwell Caroline1ORCID

Affiliation:

1. School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology , 2 George St, Brisbane City, QLD 4000 , Australia

2. School of Mathematical Sciences, Faculty of Science, Queensland University of Technology , 2 George St, Brisbane City, QLD 4000 , Australia

3. School of Design, Faculty of Creative Industries, Education and Social Justice, Queensland University of Technology , 2 George St, Brisbane City, QLD 4000 , Australia

Abstract

Abstract 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.

Funder

Hort Frontiers Pollination Fund

Hort Innovation

Queensland University of Technology

Publisher

Oxford University Press (OUP)

Subject

Insect Science,Ecology,General Medicine

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