Predictive modelling of honey bee foraging activity using local weather conditions
Predictive modelling of honey bee foraging activity using local weather conditions
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DOI：
10.1007/s13592-018-0565-3
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发表时间：
2018-06-01
期刊：
影响因子：
2.4
通讯作者：
Robert, Daniel
中科院分区：
文献类型：
--
作者：
Clarke, Dominic;Robert, Daniel
本文研究了蜜蜂（Apis mellifera）的觅食活动与当地天气条件的关系。我们测量了温度、太阳辐射、大气压力、湿度、降雨量、风向和风速。2013年6月至9月（蜂箱1）和2014年7月至9月（蜂箱2）期间从两个蜂箱收集数据。我们对数据拟合了一个普通最小二乘广义线性模型，使用天气来预测蜜蜂的出蜂率。我们发现，蜜蜂活动中78%的变化可以用温度和太阳辐射的变化来解释。我们讨论了这种方法在蜂群连续远程监测中的潜在应用，可能对早期发现和预防蜂巢遗弃障碍有影响。
We investigated the connection between foraging activity of honey bees (Apis mellifera) and local weather conditions. We measured bee egress rate along with temperature, solar radiation, atmospheric pressure, humidity, rainfall, wind direction and speed. Data was collected from two hives, over the periods June-September 2013 (hive 1) and July-September 2014 (hive 2). We fitted an ordinary-least-squares generalised linear model to the data, using weather to predict bee egress rate. We found that 78% of the observed variation in bee activity was explained by variation in temperature and solar radiation. We discuss the potential application of this approach for continuous, remote monitoring of honey bee colonies with possible implications for early detection and prevention of hive abandonment disorders.