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The effect of landscape heterogeneity and host movement on a tick-borne pathogen

Jones, E.O. and Webb, Steven and Ruiz-Fons, F.J. and Albon, S. and Gilbert, L. (2011) The effect of landscape heterogeneity and host movement on a tick-borne pathogen. Theoretical Ecology, 4 (4). pp. 435-448. ISSN 1874-1738

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Abstract

Landscape heterogeneity can be instrumental in determining local disease risk, pathogen persistence and spread. This is because different landscape features such as habitat type determine the abundance and spatial distributions of hosts and pathogen vectors. Therefore, disease prevalence and distribution are intrinsically linked to the hosts and vectors that utilise the different habitats. Here, we develop a simplified reaction diffusion model of the louping-ill virus and red grouse (Lagopus lagopus scoticus) system to investigate the occurrence of a tick-borne pathogen and the effect of host movement and landscape structure. Ticks (Ixodes ricinus), the virus-vector, are dispersed by a virally incompetent tick host, red deer (Cervus elephus), between different habitats, whilst the virus infects only red grouse. We investigated how deer movement between different habitats (forest and moorland) affected tick distribution and hence prevalence of infected ticks and grouse and hence, the effect of habitat size ratio and fragmentation on infection. When habitat type has a role in the survival of the pathogen vector, we demonstrated that habitat fragmentation can have a considerable effect on infection. These results highlight the importance of landscape heterogeneity and the proximity and size of adjacent habitats when predicting disease risk in a particular location. In addition, this model could be useful for other pathogen systems with generalist vectors and may inform policy on possible disease management strategies that incorporate host movements.

Item type: Article
ID code: 29123
Keywords: reaction-diffusion model, spatial epidemiology , louping-ill , habitat fragmentation, tick-borne pathogen, Probabilities. Mathematical statistics, Ecology, Ecological Modelling
Subjects: Science > Mathematics > Probabilities. Mathematical statistics
Department: Faculty of Science > Mathematics and Statistics
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Depositing user: Pure Administrator
Date Deposited: 22 Mar 2011 11:55
Last modified: 27 Mar 2014 09:15
URI: http://strathprints.strath.ac.uk/id/eprint/29123

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