Collective Behavior in Locust Swarms from Differential Equations to Data
Document Type
Presentation Abstract
Presentation Date
12-6-2021
Abstract
Locusts are devastating pests that infest and destroy crops. Locusts forage and migrate in large swarms which exhibit distinctive shapes that improve efficiency on the group level, a phenomenon known as collective behavior. One of the difficulties in understanding and preventing these collective behaviors has been a lack of biological data for individual interactions between locusts. In this talk, I’ll first describe mathematical models for these phenomena on both the collective and individual levels. I’ll then discuss a collaboration with students at Harvey Mudd College using field data derived from video footage of locust swarms. We digitized nearly 20,000 locust trajectories and revealed individual behaviors that depend on a locust’s motion and the relative position of its nearby neighbors. Finally, I will illustrate the challenges and potential benefits of incorporating these field observations into our models of locust swarms.
Recommended Citation
Weinburd, Jasper, "Collective Behavior in Locust Swarms from Differential Equations to Data" (2021). Colloquia of the Department of Mathematical Sciences. 617.
https://scholarworks.umt.edu/mathcolloquia/617
Additional Details
December 6, 2021 at 3:00 p.m. in Math 305