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A Mathematically Robust Model of Exotic Pine Invasions

Authors :
Hughes, Elliott
Moyers-Gonzalez, Miguel
Murray, Rua
Wilson, Phillip L.
Publication Year :
2023

Abstract

Invasive pine trees pose a threat to biodiversity in a variety of Southern Hemisphere countries, but understanding of the dynamics of invasions and the factors that retard or accelerate spread is limited. Here, we consider the past models of wilding pine spread and develop a new model of pine invasion. We show that many prior models feature parameter estimates which are not biologically supported and rely on a conjecture to obtain an asymptotic spread speed of invasive pine populations, the main output of these models. In contrast to prior approaches, we use partial differential equations to model an invasion. We show that invasions are almost static for a significant period of time before rapidly accelerating to spread at a constant rate, matching observed behaviour in at least some field sites. Our work suggests that prior methods for estimating invasion speeds may not accurately predict spread and are sensitive to assumptions about the distribution of parameters. However, we present alternative estimation methods and suggest directions for further research.<br />Comment: 36 pages, 9 figures

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2308.01452
Document Type :
Working Paper