Poidatz Juliette, Chiron Guillaume, Kennedy Peter, Osborne Juliet, Requier Fabrice
Environment and Sustainability Institute University of Exeter Penryn UK.
CIRAD, UMR PVBMT La Réunion France.
Ecol Evol. 2023 Mar 28;13(3):e9902. doi: 10.1002/ece3.9902. eCollection 2023 Mar.
Automated 3D image-based tracking systems are new and promising devices to investigate the foraging behavior of flying animals with great accuracy and precision. 3D analyses can provide accurate assessments of flight performance in regard to speed, curvature, and hovering. However, there have been few applications of this technology in ecology, particularly for insects. We used this technology to analyze the behavioral interactions between the Western honey bee and its invasive predator the Asian hornet, . We investigated whether predation success could be affected by flight speed, flight curvature, and hovering of the Asian hornet and honey bees in front of one beehive. We recorded a total of 603,259 flight trajectories and 5175 predator-prey flight interactions leading to 126 successful predation events, representing 2.4% predation success. Flight speeds of hornets in front of hive entrances were much lower than that of their bee prey; in contrast to hovering capacity, while curvature range overlapped between the two species. There were large differences in speed, curvature, and hovering between the exit and entrance flights of honey bees. Interestingly, we found hornet density affected flight performance of both honey bees and hornets. Higher hornet density led to a decrease in the speed of honey bees leaving the hive, and an increase in the speed of honey bees entering the hive, together with more curved flight trajectories. These effects suggest some predator avoidance behavior by the bees. Higher honey bee flight curvature resulted in lower hornet predation success. Results showed an increase in predation success when hornet number increased up to 8 individuals, above which predation success decreased, likely due to competition among predators. Although based on a single colony, this study reveals interesting outcomes derived from the use of automated 3D tracking to derive accurate measures of individual behavior and behavioral interactions among flying species.
基于自动3D图像的跟踪系统是新型且有前景的设备,能够极其精确地研究飞行类动物的觅食行为。3D分析可以提供关于速度、曲率和悬停方面飞行性能的准确评估。然而,这项技术在生态学中的应用很少,尤其是针对昆虫。我们使用这项技术分析西方蜜蜂与其入侵性捕食者亚洲大黄蜂之间的行为相互作用。我们研究了亚洲大黄蜂和蜜蜂在一个蜂巢前的飞行速度、飞行曲率和悬停是否会影响捕食成功率。我们总共记录了603259条飞行轨迹和5175次捕食者 - 猎物飞行相互作用,导致126次成功捕食事件,捕食成功率为2.4%。蜂巢入口前大黄蜂的飞行速度远低于其蜜蜂猎物;与悬停能力相反,而两种物种的曲率范围有重叠。蜜蜂进出蜂巢的飞行在速度、曲率和悬停方面存在很大差异。有趣的是,我们发现大黄蜂密度会影响蜜蜂和大黄蜂的飞行性能。更高的大黄蜂密度导致离开蜂巢的蜜蜂速度下降,进入蜂巢的蜜蜂速度增加,同时飞行轨迹更弯曲。这些影响表明蜜蜂有一些躲避捕食者的行为。蜜蜂更高的飞行曲率导致大黄蜂的捕食成功率降低。结果表明,当大黄蜂数量增加到8只时,捕食成功率会增加,超过这个数量后捕食成功率下降,可能是由于捕食者之间的竞争。尽管基于单个蜂群,但这项研究揭示了使用自动3D跟踪得出飞行物种个体行为和行为相互作用的准确测量结果所产生的有趣结果。