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Models and measures of animal aggregation and dispersal

Broom, M. ORCID: 0000-0002-1698-5495, Erovenko, I. V., Rowell, J. T. and Rychtář, J. (2020). Models and measures of animal aggregation and dispersal. Journal of Theoretical Biology, 484, 110002.. doi: 10.1016/j.jtbi.2019.110002

Abstract

The dispersal of individuals within an animal population will depend upon local properties intrinsic to the environment that differentiate superior from inferior regions as well as properties of the population. Competing concerns can either draw conspecifics together in aggregation, such as collective defence against predators, or promote dispersal that minimizes local densities, for instance to reduce competition for food. In this paper we consider a range of models of non-independent movement. We include established models, such as the ideal free distribution, but also develop novel models, such as the wheel. We also develop several ways to combine different models to create a flexible model of addressing a variety of dispersal mechanisms. We further devise novel measures of movement coordination and show how to generate a population movement that achieves appropriate values of the measure specified. We find the value of these measures for each of the core models described, as well as discuss their use, and potential limitations, in discerning the underlying movement mechanisms. The movement framework that we develop is both of interest as a stand-alone process to explore movement, but also able to generate a variety of movement patterns that can be embedded into wider evolutionary models where movement is not the only consideration.

Publication Type: Article
Additional Information: © 2019 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher Keywords: Patch selection, Ideal free distribution, Habitat choice, Group movement coordination, Animal movement, Urn models
Subjects: Q Science > QA Mathematics
Q Science > QH Natural history > QH301 Biology
Departments: School of Mathematics, Computer Science & Engineering > Mathematics
Date Deposited: 22 Jan 2020 09:43
URI: https://openaccess.city.ac.uk/id/eprint/23535
[img] Text - Accepted Version
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