Gilley D C, Courtright T J, Thom C
Department of Biology, William Paterson University of New Jersey, Wayne, NJ.
Environ Entomol. 2018 Jun 6;47(3):603-608. doi: 10.1093/ee/nvy039.
Departure of swarms from honey bee (Apis mellifera Linnaeus (Hymenoptera: Apidae)) nests is an important reproductive event for wild honey bee colonies and economically costly in managed bee colonies. The seasonal timing of swarm departure varies regionally and annually, creating challenges for honey bee management and emphasizing the potential for swarming behavior to be affected by plant-pollinator phenological mismatch. In this study, we first document variability in the timing of swarm departure across the large and heterogeneous geographical area of New Jersey over 4 years using 689 swarm-cluster observations. Second, hypothesizing that honey bee colonies adaptively tune the timing of swarm departure to match floral food-resource availability, we predicted that growing degree-days could be used to account for regional and annual variability. To test this idea, we used local weather records to determine the growing degree-day on which each swarm cluster was observed and tested for differences among climate regions and years. The state-wide mean swarm cluster date was May 15 (± 0.6 d), with moderate but significant differences among the state's five climate regions and between years. Use of degree-day information suggests that local heat accumulation can account for some climate-region differences in swarm-departure timing. Annual variation existed on a scale of only several days and was not accounted for by growing degree-days, suggesting little adaptive tuning of swarm-departure timing with respect to local heat accumulation.
蜂群从蜜蜂(西方蜜蜂,林奈(膜翅目:蜜蜂科))巢穴中飞出,这对野生蜂群来说是一个重要的繁殖事件,而在人工养殖的蜂群中则会造成经济损失。蜂群分蜂的季节时间在不同地区和年份有所不同,这给蜜蜂管理带来了挑战,并凸显了分蜂行为可能受到植物 - 传粉者物候不匹配影响的可能性。在本研究中,我们首先利用689次蜂群聚集观测记录,记录了新泽西州这个面积大且情况各异的地理区域内,四年间蜂群分蜂时间的变化情况。其次,假设蜜蜂群体能适应性地调整分蜂时间以匹配花卉食物资源的可利用性,我们预测生长度日可用于解释区域和年度变化。为验证这一想法,我们利用当地气象记录确定每次观察到蜂群聚集时的生长度日,并测试气候区域和年份之间的差异。全州蜂群聚集的平均日期为5月15日(±0.6天),该州五个气候区域之间以及不同年份之间存在适度但显著的差异。生长度日信息的使用表明,当地热量积累可以解释分蜂时间上的一些气候区域差异。年度变化仅在几天的范围内存在,且不能用生长度日来解释,这表明分蜂时间相对于当地热量积累几乎没有适应性调整。