Scientists have carefully studied the intricacies of how individual organisms live and act together in groups known as biological collectives. In "superorganisms" such as bee colonies, the interactions of the individual members add up to benefit the entire colony.
Working at a UC San Diego apiary, the researchers collected data over several years on the behaviors of individuals in small and large honey bee colonies. Their efforts focused on communication signals that bees use to convey information. Honey bees use a vigorous "waggle dance" to let their hive mates know about an available food source beneficial to the colony. But when conditions of such food sources deteriorate, or when a fellow hive mate is threatened by a predator, bees then produce "stop" signals —which include transmitting vibrations and delivering head butts—that let waggle dancers know that the source is no longer a viable option.
The key determining factor, they uncovered, boils down to the size of the colony. Large, established colonies with comfortable levels of food stores were less likely to take chances with risky food sources. Alternately, smaller colonies pressed to locate adequate food to sustain themselves were much more willing to take risks and ignore warning signals.
"We created an artificial stop signal that, like natural stop signals, caused waggle dancers to briefly pause," said lead author Heather Bell, PhD (a summary of the study is available here ). "We then used the artificial signal on waggle dancers from colonies of different sizes. By measuring how long waggle dances lasted, we found that bees from small colonies were indeed less likely to listen to the message from our artificial signal than those from large colonies."
The results underscored the idea that a strategy that works to keep a small colony going is not necessarily the optimal strategy for a large colony.
"It all boils down to risk. Smaller colonies will take more risk because they need food," said James Nieh, a professor in the Section of Ecology, Behavior and Evolution and senior author of the paper. "When a swarm starts a new colony, they are in a desperate situation and likely more willing to take chances."
The researchers indicate that the behavior of such superorganisms is analogous to neural networks. In both colonies and nervous systems, information is processed by networks of individual components that need to exchange critical information for the biological collective to survive. Other systems where such behaviors are seen include human social groups such as small companies that may be less likely to heed new information that would cause them to change their planned course. The scientists also indicate that their results could have implications for the design of artificial computing networks. Like bee colonies, these networks need to perform well and remain robust as they grow or shrink in size.
In the natural environment, Nieh says, the new study’s results help scientists understand how bees adapt to dynamic conditions, including climate change.
"Global climate change is shifting many things, including when flowers bloom, which in turn is likely shifting the habits of predators," said Nieh. "Honey bees have an amazing resilience to these changes in part because of their intricate communication system, so this study helps us understand how they can adapt better."
Coauthors of the study include: Heather Bell, Kevin Hsiung, Patrick Pasberg, Frédéric Broccard and James Nieh.