Imperial College London
Portrait Picture

Prof Francesco Montomoli

Faculty of Engineering, Department of Aeronautics

Professor in Computational Aerodynamics
 
 
 
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Contact

 

+44 (0)20 7594 5151f.montomoli Website

 
 
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Location

 

215City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Pepper:2019:10.1038/s41598-019-52763-9,
author = {Pepper, N and Gerardo-Giorda, L and Montomoli, F},
doi = {10.1038/s41598-019-52763-9},
journal = {Scientific Reports},
title = {Meta-modeling on detailed geography for accurate prediction of invasive alien species dispersal},
url = {http://dx.doi.org/10.1038/s41598-019-52763-9},
volume = {9},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Invasive species are recognized as a significant threat to biodiversity. The mathematical modeling of their spatio-temporaldynamics can provide significant help to environmental managers in devising suitable control strategies. Several mathematicalapproaches have been proposed in recent decades to efficiently model the dispersal of invasive species. Relying on theassumption that the dispersal of an individual is random, but the density of individuals at the scale of the population can beconsidered smooth, reaction-diffusion models are a good trade-off between model complexity and flexibility for use in differentsituations. In this paper we present a continuous reaction-diffusion model coupled with arbitrary Polynomial Chaos (aPC)to assess the impact of uncertainties in the model parameters. We show how the finite elements framework is well-suitedto handle important landscape heterogeneities as elevation and the complex geometries associated with the boundariesof an actual geographical region. We demonstrate the main capabilities of the proposed coupled model by assessing theuncertainties in the invasion of an alien species invading the Basque Country region in Northern Spain.
AU  - Pepper,N
AU  - Gerardo-Giorda,L
AU  - Montomoli,F
DO  - 10.1038/s41598-019-52763-9
PY  - 2019///
SN  - 2045-2322
TI  - Meta-modeling on detailed geography for accurate prediction of invasive alien species dispersal
T2  - Scientific Reports
UR  - http://dx.doi.org/10.1038/s41598-019-52763-9
UR  - http://hdl.handle.net/10044/1/74588
VL  - 9
ER  -
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