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Abaid, N.

Publications and source records attributed to Abaid, N..

2 recordsLinked to original sources

Gray bats spatially segregate when navigating flight with conspecifics in complex environments

Bats are fast fliers with great maneuverability. Many species sense and communicate through echolocation, relying on acoustic signals in the environment. Bats also form large colonies, which necessitates that they fly in groups. When the group size increases or obstacles are in their flight paths, the acoustic space can become cluttered, posing a non-trivial challenge for navigation. How do they interact with their environment and conspecifics, and how do they balance social and environmental cues? Recent research has uncovered individual adaptations to calling and flight patterns when flying in the groups or avoiding obstacles. Studies also suggest coordination when foraging, as well as strategies used by the group to mitigate acoustic clutter. However, there has yet to be a study on how bats weigh different navigational tasks when flying in spatially complex environments. Here, we collected stereoscopic video data on a wild colony of gray bats, Mytotis grisescens, navigating their usual foraging flight paths in the presence of novel obstacles. We find that bats tend to stay close to a wall, but space out when flying in groups. We developed a data-informed agent-based model which revealed that their social repulsive behavior is strengthened when challenged to navigate novel obstacles.

bioinformatics↗

Socially driven negative feedback regulates activity and energy use in ant colonies

Despite almost a century of research on energetics in biological systems, we still cannot explain energy regulation in social groups, like ant colonies. How do individuals regulate their collective activity without a centralized control system? What is the role of social interactions in distributing the workload amongst group members? And how does the group save energy by avoiding being constantly active? We offer new insight into these questions by studying an intuitive compartmental model, calibrated with and compared to data on ant colonies. The model describes a previously unexplored balance between positive and negative social feedback driven by individual activity: when activity levels are low, the presence of active individuals stimulates inactive individuals to start working; when activity levels are high, however, active individuals inhibit each other, effectively capping the proportion of active individuals at any one time. Through the analysis of the system stability, we demonstrate that this balance results in energetic spending at the group level growing proportionally slower than the group size. Our finding is reminiscent of Kleibers law of metabolic scaling in unitary organisms and highlights the critical role of social interactions in driving the collective energetic efficiency of group-living organisms.

biophysics↗