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SUMMARY:Optimal monitoring and decision support for the end of an eradicat
 ion campaign
DTSTART;VALUE=DATE-TIME:20180709T015000Z
DTEND;VALUE=DATE-TIME:20180709T021000Z
DTSTAMP;VALUE=DATE-TIME:20210228T010942Z
UID:indico-contribution-305@conferences.maths.unsw.edu.au
DESCRIPTION:Speakers: Christopher Baker (The University of Queensland)\nIn
 troduced species are a critical threat to Australian ecosystems and specie
 s. Particularly noxious examples include the European carp\, feral cats\, 
 and a variety of weeds. A central aspect of introduced species management 
 is eradication – if they can be completely removed from a region\, the i
 mpact can be nullified. A central problem population eradications is knowi
 ng whether the species has been successfully removed or not. We develop a 
 framework to model populations through time\, explicitly accounting for im
 perfect detection and unknown detection probability. We use changing detec
 tion rates throughout a removal project to calibrate the model\, which pro
 vides a quantitative method to trigger the end of a project. While invasiv
 e species are often the focus of removal efforts\, they can also occur to 
 prevent disease spread in an endangered species. I will describe how we ap
 plied this method to a Tasmanian devil depopulation\, which enabled the es
 tablishment of a Tasmanian devil facial tumour disease population on Fores
 tier Peninsular\, Tasmania.\n\nhttps://conferences.maths.unsw.edu.au/event
 /2/contributions/305/
LOCATION:University of Sydney New Law School/--028
URL:https://conferences.maths.unsw.edu.au/event/2/contributions/305/
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