期刊
ECOSPHERE
卷 13, 期 5, 页码 -出版社
WILEY
DOI: 10.1002/ecs2.4088
关键词
Apis mellifera; bee longevity; flight ontogeny; foraging performance; pollination performance; radio frequency identification (RFID); temporal polyethism
类别
资金
- Australian Research Council [140100452]
- Hort Innovation Australia [LP15007]
- Lord Mayor's Charitable Foundation
- Eldon & Anne Foot Trust
- US Department of Agriculture [58-5342-3-004F]
Assessing individual foraging performance is crucial for environmental policy-making. We have developed a new autonomous field method using RFID to record honey bee flight ontogeny and foraging performance. By separating bee traffic into returning and exiting tunnels, we have overcome previous limitations of RFID systems caused by traffic jams and antennae coupling.
Measuring individual foraging performance of pollinators is crucial to guide environmental policies that aim at enhancing pollinator health and pollination services. Automated systems have been developed to track the activity of individual honey bees, but their deployment is extremely challenging. This has limited the assessment of individual foraging performance in full-strength bee colonies in the field. Most studies available to date have been constrained to use downsized bee colonies located in urban and suburban areas. Environmental policy-making, on the other hand, needs a more comprehensive assessment of honey bee performance in a broader range of environments, including in remote agricultural and wild areas. Here, we detail a new autonomous field method to record high-quality data on the flight ontogeny and foraging performance of honey bees, using radio frequency identification (RFID). We separate bee traffic into returning and exiting tunnels to improve data quality solving many previous limitations of RFID systems caused by traffic jams and the parasitic coupling of RFID antennae. With this method, we assembled a large RFID dataset made of control bee colonies from experiments conducted in different locations and seasons. We hope our results will be a starting point to understand how ontogenetic and environmental factors affect the individual performance of honey bees and that our method will enable large-scale replication of individual pollinator performance studies.
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