Social interactions drive efficient foraging and income equality in groups of fish

• Main Authors: Roy Harpaz, Elad Schneidman
• Format: Article
• Language: English
• Published: eLife Sciences Publications Ltd 2020-08-01
• Series: eLife
• Subjects: social foraging; collective behavior; zebrafish; behavioral modeling; information processing; social interactions
• Online Access: https://elifesciences.org/articles/56196

The social interactions underlying group foraging and their benefits have been mostly studied using mechanistic models replicating qualitative features of group behavior, and focused on a single resource or a few clustered ones. Here, we tracked groups of freely foraging adult zebrafish with spatially dispersed food items and found that fish perform stereotypical maneuvers when consuming food, which attract neighboring fish. We then present a mathematical model, based on inferred functional interactions between fish, which accurately describes individual and group foraging of real fish. We show that these interactions allow fish to combine individual and social information to achieve near-optimal foraging efficiency and promote income equality within groups. We further show that the interactions that would maximize efficiency in these social foraging models depend on group size, but not on food distribution, and hypothesize that fish may adaptively pick the subgroup of neighbors they ‘listen to’ to determine their own behavior.