Keywords
surveillance; range expansion; alien invasive species; spatial modeling; approximate Bayesian computation; simulation.
Location
Session G1: Using Simulation Models to Improve Understanding of Environmental Systems
Start Date
16-6-2014 9:00 AM
End Date
16-6-2014 10:20 AM
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.
Included in
Civil Engineering Commons, Data Storage Systems Commons, Environmental Engineering Commons, Hydraulic Engineering Commons, Other Civil and Environmental Engineering Commons
Defining the spatiotemporal surveillance space for alien species' invasions using approximate Bayesian computation
Session G1: Using Simulation Models to Improve Understanding of Environmental Systems
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.
