“Causes of pollinator decline are complex and include diminishing flower resources, habitat loss, climate change, increased disease incidence and exposure to pesticides, so pinpointing the driving forces remains a challenge,” said Candace Galen, professor of biological science in the MU College of Arts and Science. “For more than 100 years, scientists have used sonic vibrations to monitor birds, bats, frogs and insects. We wanted to test the potential for remote monitoring programs that use acoustics to track bee flight activities.”
First, the team analyzed the characteristic frequencies—what musicians call the pitch—of bee buzzes in the lab. Then, they placed small microphones attached to data storage devices in the field and collected the acoustic survey data from three locations on Pennsylvania Mountain, Colorado, to estimate bumble bee activity.
Using the data, they developed algorithms that identified and quantified the number of bee buzzes in each location and compared that data to visual surveys the team made in the field. In almost every instance, the acoustic surveys were more sensitive, picking up more buzzing bees.
“Eavesdropping on the acoustic signatures of bee flights tells the story of bee activity and pollination services,” Galen said. “Farmers may be able to use the exact methods to monitor pollination of their orchards and vegetable crops and head off pollination deficits. Finally, global ‘citizen scientists’ could get involved, monitoring bees in their backyards.”
Currently, using the algorithms developed in this study, the team is developing a smartphone app that could record buzz activity as well as document the bees photographically. Future studies could determine whether bees detect competitors by sound and whether flowers have chemical responses to bee buzzes, Galen said.
The study, “Flight of the bumble bee: buzzes predict pollination services,” was published in PLOS ONE. Research was funded by the National Science Foundation (Grants: 1045322, 1410586 and 1355406). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agency. Co-authors on the study include Nicole Miller-Struttmann, assistant professor of biology at Webster University; David Heise, assistant professor of computer science, technology & mathematics at Lincoln University; Johannes Schul, MU professor of biological sciences; and Jennifer Geib, associate professor of biology at Appalachian State University.