School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, 2 George St, Brisbane City, QLD 4000, Australia.
School of Mathematical Sciences, Faculty of Science, Queensland University of Technology, 2 George St, Brisbane City, QLD 4000, Australia.
J Econ Entomol. 2022 Jun 8;115(3):715-723. doi: 10.1093/jee/toac034.
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.
欧洲蜜蜂(Apis mellifera Linnaeus,1758 [膜翅目:蜜蜂科])蜂群的强度审计对于养蜂人管理蜂群健康和满足授粉合同条件至关重要。在澳大利亚进行授粉服务时,通常使用框顶群集计数(Frame 的数量)检查来评估蜂群的强度。感应技术具有改善审计过程的潜力,并且商业温度传感器广泛可用。我们评估了温度感应技术在蜂群强度评估中的使用和位置,并确定了将温度与蜂群强度联系起来的关键参数。定制的温度传感器测量了蜂箱顶部的蜂巢温度。使用包括代表蜂箱中昼夜温度波动的正弦和余弦曲线的线性混合效应模型,将 Frame 的数量与温度传感器数据进行了比较。蜜蜂的存在对蜂箱温度和范围有显著影响:没有蜜蜂的蜂箱记录的平均温度低 5.5°C,温度范围比含有活蜜蜂的蜂箱大。无论蜂群强度如何,没有蜜蜂的蜂箱都比有蜜蜂的蜂箱更早达到峰值温度。传感器在蜂箱宽度上的放置被确定为将传感器数据与蜂群强度联系起来的重要因素。发现离蜂箱几何中心最近的传感器的数据与蜂群强度更紧密相关。此外,Frame 的数量增加一个单位与平均温度升高 0.36°C 显著相关。这表明,考虑昼夜温度模式的统计模型可以用于根据温度传感器数据预测蜂群的强度。