Using spatially explicit surveillance models to provide confidence in the eradication of an invasive ant

Effective detection plays an important role in the surveillance and management of invasive species. Invasive ants are very difficult to eradicate and are prone to imperfect detection because of their small size and cryptic nature. Here we demonstrate the use of spatially explicit surveillance models...

Full description

Saved in:
Bibliographic Details
Published inScientific reports Vol. 6; no. 1; p. 34953
Main Authors Ward, Darren F., Anderson, Dean P., Barron, Mandy C.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 10.10.2016
Nature Publishing Group
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Effective detection plays an important role in the surveillance and management of invasive species. Invasive ants are very difficult to eradicate and are prone to imperfect detection because of their small size and cryptic nature. Here we demonstrate the use of spatially explicit surveillance models to estimate the probability that Argentine ants ( Linepithema humile ) have been eradicated from an offshore island site, given their absence across four surveys and three surveillance methods, conducted since ant control was applied. The probability of eradication increased sharply as each survey was conducted. Using all surveys and surveillance methods combined, the overall median probability of eradication of Argentine ants was 0.96. There was a high level of confidence in this result, with a high Credible Interval Value of 0.87. Our results demonstrate the value of spatially explicit surveillance models for the likelihood of eradication of Argentine ants. We argue that such models are vital to give confidence in eradication programs, especially from highly valued conservation areas such as offshore islands.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2045-2322
2045-2322
DOI:10.1038/srep34953