Defining the spatiotemporal surveillance space for alien species’ invasions using approximate Bayesian computation

Hamilton, Grant, Rasmussen, Rune, Müllerová, Jana , Pergl, Jan, & Pyšek, Petr (2014) Defining the spatiotemporal surveillance space for alien species’ invasions using approximate Bayesian computation. In Ames, Daniel P., Quinn, Nigel W.T., & Rizzoli, Andrea E. (Eds.) Proceedings of the 7th International Congress on Environmental Modelling and Software (iEMSs), Elsevier, San Diego, California, USA, pp. 1347-1352.

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Abstract

The spatiotemporal dynamics of an alien species invasion across a real landscape are typically complex. While surveillance is an essential part of a management response, planning surveillance in space and time present a difficult challenge due to this complexity. We show here a method for determining the highest probability sites for occupancy across a landscape at an arbitrary point in the future, based on occupancy data from a single slice in time. We apply to the method to the invasion of Giant Hogweed, a serious weed in the Czech republic and throughout Europe.

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ID Code: 74827
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: surveillance, range expansion, invasive species, spatial modeling, approximate Bayesian computation, simulation
ISBN: 9788890357442
Subjects: Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > ECOLOGY (060200) > Population Ecology (060207)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
Divisions: Current > Schools > School of Earth, Environmental & Biological Sciences
Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 [please consult the authors]
Copyright Statement: The Proceedings of the 7th International Congress on Environmental Modelling and Software by Ames, D.P., Quinn, N.W.T., Rizzoli, A.E. (Eds.) is licensed under a Creative Commons Attribution 4.0 International License. This is a Free Culture License.
Deposited On: 03 Dec 2014 22:40
Last Modified: 08 Dec 2014 07:23

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