Document Type
Article
Department
Mathematics (HMC)
Publication Date
Fall 8-16-2012
Abstract
Locusts exhibit two interconvertible behavioral phases, solitarious and gregarious. While solitarious individuals are repelled from other locusts, gregarious insects are attracted to conspecifics and can form large aggregations such as marching hopper bands. Numerous biological experiments at the individual level have shown how crowding biases conversion towards the gregarious form. To understand the formation of marching locust hopper bands, we study phase change at the collective level, and in a quantitative framework. Specifically, we construct a partial integrodifferential equation model incorporating the interplay between phase change and spatial movement at the individual level in order to predict the dynamics of hopper band formation at the population level. Stability analysis of our model reveals conditions for an outbreak, characterized by a large scale transition to the gregarious phase. A model reduction enables quantification of the temporal dynamics of each phase, of the proportion of the population that will eventually gregarize, and of the time scale for this to occur. Numerical simulations provide descriptions of the aggregation's structure and reveal transiently traveling clumps of gregarious insects. Our predictions of aggregation and mass gregarization suggest several possible future biological experiments.
Rights Information
© 2012 Topaz et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI
10.1371/journal.pcbi.1002642
Recommended Citation
Topaz CM, D’Orsogna MR, Edelstein-Keshet L, Bernoff AJ (2012) Locust Dynamics: Behavioral Phase Change and Swarming. PLoS Comput Biol 8(8): e1002642. doi:10.1371/journal.pcbi.1002642
Supporting Information
Comments
The Supporting Information provides technical details pertaining to parameter selection and estimation, the calculation of homogeneous steady states in our model, linear stability analysis, and the computational method used to carry out model simulations.
Please refer to the link below for the Supporting Information in .PDF format.