Mathematical modelling of spatial sorting and evolution in a host-parasite system
Related Experiment Video
Updated: Apr 8, 2026

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
Published on: October 29, 2016
Matthew H Chan1, Richard Shine2, Gregory P Brown2
1School of Mathematics and Statistics, University of Sydney, NSW 2006, Australia.
Abstract:
There have been numerous empirical and agent-based modelling studies on the spatial self-structuring of traits, particularly in regard to dispersal ability (termed spatial sorting) of cane toads in northern Australia, but few mathematical modelling studies. In this study, we formulate a reaction-diffusion based partial-integro-differential equation model based on an earlier model by Bouin et al. (2012) to examine this spatial self-structuring of traits in both a cane toad population and lungworm parasite population, which evolves with the cane toad population. In particular, the traits we focus on are dispersal ability for the cane toad population and both prepatent period and larval size for the lungworm parasite population. Apart from the spatial self-structuring of these traits, our results confirm a number of observations made in empirical and agent-based studies; particularly, that there is a noticeable lag between the host and parasite population which is critically dependent on the parasite functional response to host densities, that older populations regress back to lower dispersal speeds and that spatial sorting can still occur with a disadvantage in reproductivity and/or survival in more motile individuals. Moreover, we find that such a disadvantage in reproductivity and/or survival is unlikely to be large if spatial sorting is to have a noticeable effect on the rate of range expansion, as it has been observed to have over the last 60 years in northern Australia.
Related Concept Videos
Modeling with Differential Equations
Population Growth
Microbial Interactions: Parasitism
Mechanistic Models: Compartment Models in Individual and Population Analysis
Exponential Equations for Modeling Growth
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

