Pattern formation in a model for mountain pine beetle dispersal: linking model predictions to data.
Pattern formation occurs in a wide range of biological systems. This pattern formation can occur in mathematical models because of diffusion-driven instability or due to the interaction between reaction, diffusion, and chemotaxis. In this paper, we investigate the spatial pattern formation of attack clusters in a system for Mountain Pine Beetle. The pattern formation (aggregation) of the Mountain Pine Beetle in order to attack susceptible trees is crucial for their survival and reproduction. We use a reaction-diffusion equation with chemotaxis to model the interaction between Mountain Pine Beetle, Mountain Pine Beetle pheromones, and susceptible trees. Mathematical analysis is utilized to discover the spacing in-between beetle attacks on the susceptible landscape. The model predictions are verified by analysing aerial detection survey data of Mountain Pine Beetle Attack from the Sawtooth National Recreation Area. We find that the distance between Mountain Pine Beetle attack clusters predicted by our model closely corresponds to the observed attack data in the Sawtooth National Recreation Area. These results clarify the spatial mechanisms controlling the transition from incipient to epidemic populations and may lead to control measures which protect forests from Mountain Pine Beetle outbreak.
University of British Columbia Okanagan Campus, Kelowna, Canada, shaun.strohm@gmail.com.
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S
Strohm
R C
RC
Tyson
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JA
Powell
D000818:Animals; D001517:Coleoptera / Q000472:pathogenicity* / Q000502:physiology*; D019295:Computational Biology; D017753:Ecosystem; D007061:Idaho; D016014:Linear Models; D055641:Mathematical Concepts; D008954:Models, Biological; D010363:Pattern Recognition, Automated / Q000706:statistics & numerical data; D010675:Pheromones / Q000502:physiology; D028223:Pinus / Q000469:parasitology*; D010935:Plant Diseases / Q000469:parasitology / Q000706:statistics & numerical data
D010675:Pheromones