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Declaration of local chemical eradication of the Argentine ant: Bayesian estimation with a multinomial-mixture model

Determining the success of eradication of an invasive species requires a way to decide when its risk of reoccurrence has become acceptably low. In Japan, the area populated by the Argentine ant, Linepithema humile (Mayr), is expanding, and eradication via chemical treatment is ongoing at various loc...

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Autores principales: Sakamoto, Yoshiko, Kumagai, Naoki H., Goka, Koichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469785/
https://www.ncbi.nlm.nih.gov/pubmed/28611440
http://dx.doi.org/10.1038/s41598-017-03516-z
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author Sakamoto, Yoshiko
Kumagai, Naoki H.
Goka, Koichi
author_facet Sakamoto, Yoshiko
Kumagai, Naoki H.
Goka, Koichi
author_sort Sakamoto, Yoshiko
collection PubMed
description Determining the success of eradication of an invasive species requires a way to decide when its risk of reoccurrence has become acceptably low. In Japan, the area populated by the Argentine ant, Linepithema humile (Mayr), is expanding, and eradication via chemical treatment is ongoing at various locations. One such program in Tokyo was apparently successful, because the ant population decreased to undetectable levels within a short time. However, construction of a population model for management purposes was difficult because the probability of detecting ants decreases rapidly as the population collapses. To predict the time when the ant was eradicated, we developed a multinomial-mixture model for chemical eradication based on monthly trapping data and the history of pesticide applications. We decided when to declare that eradication had been successful by considering both ‘eradication’ times, which we associated with eradication probabilities of 95% and 99%, and an optimal stopping time based on a ‘minimum expected economic cost’ that considered the possibility that surveys were stopped too soon. By applying these criteria, we retroactively declared that Argentine ants had been eradicated 38–42 months after the start of treatments (16–17 months after the last sighting).
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spelling pubmed-54697852017-06-19 Declaration of local chemical eradication of the Argentine ant: Bayesian estimation with a multinomial-mixture model Sakamoto, Yoshiko Kumagai, Naoki H. Goka, Koichi Sci Rep Article Determining the success of eradication of an invasive species requires a way to decide when its risk of reoccurrence has become acceptably low. In Japan, the area populated by the Argentine ant, Linepithema humile (Mayr), is expanding, and eradication via chemical treatment is ongoing at various locations. One such program in Tokyo was apparently successful, because the ant population decreased to undetectable levels within a short time. However, construction of a population model for management purposes was difficult because the probability of detecting ants decreases rapidly as the population collapses. To predict the time when the ant was eradicated, we developed a multinomial-mixture model for chemical eradication based on monthly trapping data and the history of pesticide applications. We decided when to declare that eradication had been successful by considering both ‘eradication’ times, which we associated with eradication probabilities of 95% and 99%, and an optimal stopping time based on a ‘minimum expected economic cost’ that considered the possibility that surveys were stopped too soon. By applying these criteria, we retroactively declared that Argentine ants had been eradicated 38–42 months after the start of treatments (16–17 months after the last sighting). Nature Publishing Group UK 2017-06-13 /pmc/articles/PMC5469785/ /pubmed/28611440 http://dx.doi.org/10.1038/s41598-017-03516-z Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Sakamoto, Yoshiko
Kumagai, Naoki H.
Goka, Koichi
Declaration of local chemical eradication of the Argentine ant: Bayesian estimation with a multinomial-mixture model
title Declaration of local chemical eradication of the Argentine ant: Bayesian estimation with a multinomial-mixture model
title_full Declaration of local chemical eradication of the Argentine ant: Bayesian estimation with a multinomial-mixture model
title_fullStr Declaration of local chemical eradication of the Argentine ant: Bayesian estimation with a multinomial-mixture model
title_full_unstemmed Declaration of local chemical eradication of the Argentine ant: Bayesian estimation with a multinomial-mixture model
title_short Declaration of local chemical eradication of the Argentine ant: Bayesian estimation with a multinomial-mixture model
title_sort declaration of local chemical eradication of the argentine ant: bayesian estimation with a multinomial-mixture model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469785/
https://www.ncbi.nlm.nih.gov/pubmed/28611440
http://dx.doi.org/10.1038/s41598-017-03516-z
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