University of Leicester
Browse
- No file added yet -

Patchy, not patchy, or how much patchy? Classification of spatial patterns appearing in a model of biological invasion

Download (6.47 MB)
journal contribution
posted on 2018-02-13, 15:03 authored by N. Petrovskaya, S. Petrovskii, W. Zhang
Good understanding of spatiotemporal patterns of species spread during biological invasion is needed for efficient monitoring and control of harmful alien pests. Various growth-dispersal-type models of population dynamics predict that invasive species spread can follow two qualitatively different scenarios such as the propagation of a continuous population front and the “no-front” patchy invasion. Distinguishing between these two patterns of spread is important, in particular because the patchy invasion poses a much greater challenge for monitoring and control. However, a mathematical theory of the patchy invasion is missing and it remains unclear what are the restrictions on parameter values and how much different this dynamical regime is from the continuous front propagation. In this paper, we address these issues in terms of a biologically meaningful mathematical model consisting of two coupled integral-difference equations. We show that the relevant domain of the parameter space has a complex intermittent structure. We also suggest a criterion that can be used to distinguish between the patchy invasion and the continuous front propagation: the patchy-invasion spatial pattern is shown to be much more sensitive to the cutoff at low densities.

History

Citation

Mathematical Modelling of Natural Phenomena, 2017, 12 (6), pp. 208-225 (18)

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Mathematics

Version

  • VoR (Version of Record)

Published in

Mathematical Modelling of Natural Phenomena

Publisher

EDP Sciences

issn

0973-5348

eissn

1760-6101

Acceptance date

2017-10-28

Copyright date

2017

Available date

2018-02-13

Publisher version

https://www.mmnp-journal.org/articles/mmnp/abs/2017/06/mmnp170153/mmnp170153.html

Language

en