Network spread of invasive species and infectious diseases

Christopher Strickland, Gerhard Dangelmayr, Patrick D. Shipman, Sunil Kumar and Thomas J. Stohlgren

Ecological Modelling, 2015, vol. 309-310, 1-9

Abstract: Landscape heterogeneity, non-local spreading mechanisms, and long-distance transportation connections can affect the spread of an invasive species or infectious disease. In this paper, we introduce a mathematical model that combines a vector-based transportation network with models for continuous invasive spread. Given a strongly connected, directed graph of transportation rates, we assume that carriers can transport a biological invader to distant sites. Following a possible latent stage, the invader then possibly establishes in the new location and spreads outwards in the continuous domain. Numerical results are shown for the invasion of Bromus tectorum in Rocky Mountain National Park based on the presence probability model of Strickland et al. (2013) and compare favorably with data. Analysis of the network component of the model reveals a unique, stable steady-state solution of the infected vectors.

Keywords: Invasive species; Bromus tectorum; Infectious diseases; MaxEnt; Niche modeling; Species distribution modeling (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:309-310:y:2015:i::p:1-9

DOI: 10.1016/j.ecolmodel.2015.04.010

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