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Modelling the Arrival of Invasive Organisms via the International Marine Shipping Network: A Khapra Beetle Study

Species can sometimes spread significant distances beyond their natural dispersal ability by anthropogenic means. International shipping routes and the transport of shipping containers, in particular are a commonly recognised pathway for the introduction of invasive species. Species can gain access...

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Autores principales: Paini, Dean R., Yemshanov, Denys
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435288/
https://www.ncbi.nlm.nih.gov/pubmed/22970258
http://dx.doi.org/10.1371/journal.pone.0044589
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author Paini, Dean R.
Yemshanov, Denys
author_facet Paini, Dean R.
Yemshanov, Denys
author_sort Paini, Dean R.
collection PubMed
description Species can sometimes spread significant distances beyond their natural dispersal ability by anthropogenic means. International shipping routes and the transport of shipping containers, in particular are a commonly recognised pathway for the introduction of invasive species. Species can gain access to a shipping container and remain inside, hidden and undetected for long periods. Currently, government biosecurity agencies charged with intercepting and removing these invasive species when they arrive to a county’s border only assess the most immediate point of loading in evaluating a shipping container’s risk profile. However, an invasive species could have infested a container previous to this point and travelled undetected before arriving at the border. To assess arrival risk for an invasive species requires analysing the international shipping network in order to identify the most likely source countries and the domestic ports of entry where the species is likely to arrive. We analysed an international shipping network and generated pathway simulations using a first-order Markov chain model to identify possible source ports and countries for the arrival of Khapra beetle (Trogoderma granarium) to Australia. We found Kaohsiung (Taiwan) and Busan (Republic of Korea) to be the most likely sources for Khapra beetle arrival, while the port of Melbourne was the most likely point of entry to Australia. Sensitivity analysis revealed significant stability in the rankings of foreign and Australian ports. This methodology provides a reliable modelling tool to identify and rank possible sources for an invasive species that could arrive at some time in the future. Such model outputs can be used by biosecurity agencies concerned with inspecting incoming shipping containers and wishing to optimise their inspection protocols.
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spelling pubmed-34352882012-09-11 Modelling the Arrival of Invasive Organisms via the International Marine Shipping Network: A Khapra Beetle Study Paini, Dean R. Yemshanov, Denys PLoS One Research Article Species can sometimes spread significant distances beyond their natural dispersal ability by anthropogenic means. International shipping routes and the transport of shipping containers, in particular are a commonly recognised pathway for the introduction of invasive species. Species can gain access to a shipping container and remain inside, hidden and undetected for long periods. Currently, government biosecurity agencies charged with intercepting and removing these invasive species when they arrive to a county’s border only assess the most immediate point of loading in evaluating a shipping container’s risk profile. However, an invasive species could have infested a container previous to this point and travelled undetected before arriving at the border. To assess arrival risk for an invasive species requires analysing the international shipping network in order to identify the most likely source countries and the domestic ports of entry where the species is likely to arrive. We analysed an international shipping network and generated pathway simulations using a first-order Markov chain model to identify possible source ports and countries for the arrival of Khapra beetle (Trogoderma granarium) to Australia. We found Kaohsiung (Taiwan) and Busan (Republic of Korea) to be the most likely sources for Khapra beetle arrival, while the port of Melbourne was the most likely point of entry to Australia. Sensitivity analysis revealed significant stability in the rankings of foreign and Australian ports. This methodology provides a reliable modelling tool to identify and rank possible sources for an invasive species that could arrive at some time in the future. Such model outputs can be used by biosecurity agencies concerned with inspecting incoming shipping containers and wishing to optimise their inspection protocols. Public Library of Science 2012-09-06 /pmc/articles/PMC3435288/ /pubmed/22970258 http://dx.doi.org/10.1371/journal.pone.0044589 Text en © 2012 Paini, Yemshanov http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Paini, Dean R.
Yemshanov, Denys
Modelling the Arrival of Invasive Organisms via the International Marine Shipping Network: A Khapra Beetle Study
title Modelling the Arrival of Invasive Organisms via the International Marine Shipping Network: A Khapra Beetle Study
title_full Modelling the Arrival of Invasive Organisms via the International Marine Shipping Network: A Khapra Beetle Study
title_fullStr Modelling the Arrival of Invasive Organisms via the International Marine Shipping Network: A Khapra Beetle Study
title_full_unstemmed Modelling the Arrival of Invasive Organisms via the International Marine Shipping Network: A Khapra Beetle Study
title_short Modelling the Arrival of Invasive Organisms via the International Marine Shipping Network: A Khapra Beetle Study
title_sort modelling the arrival of invasive organisms via the international marine shipping network: a khapra beetle study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435288/
https://www.ncbi.nlm.nih.gov/pubmed/22970258
http://dx.doi.org/10.1371/journal.pone.0044589
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