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

Authors
  • Hamilton, Grant
  • Rasmussen, Rune
  • Müllerová, Jana
  • Pergl, Jan
  • Pyšek, Petr
Publication Date
Jun 15, 2014
Source
Queensland University of Technology ePrints Archive
Keywords
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Unknown
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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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