A method for designing complex biosecurity surveillance systems: detecting non-indigenous species of invertebrates on Barrow Island
Aim: We developed a new method to design objective, risk-based surveillance systems for non-indigenous species of invertebrates, vertebrates and plants, which might be introduced to a natural area through an industrial project; here, we provide the invertebrate case study. The method addresses issue...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
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Blackwell Science Ltd
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/46675 |
| _version_ | 1848757625952403456 |
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| author | Whittle, P. Stoklosa, R. Barrett, S. Jarrad, F. Majer, Jonathan Martin, P. Mengersen, K. |
| author_facet | Whittle, P. Stoklosa, R. Barrett, S. Jarrad, F. Majer, Jonathan Martin, P. Mengersen, K. |
| author_sort | Whittle, P. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Aim: We developed a new method to design objective, risk-based surveillance systems for non-indigenous species of invertebrates, vertebrates and plants, which might be introduced to a natural area through an industrial project; here, we provide the invertebrate case study. The method addresses issues common to complex surveillance design problems: a statistical standard (e.g. power); information gaps; multiple targets of unclear identity; a large surveillance area of heterogeneous risk of invasion; integrating multiple sources of surveillance data; optimizing for cost. Location: Barrow Island, Western Australia. Methods: We mapped the surveillance area for risk to target surveillance activities. An expert group identified a set of exemplar species and identified and characterized a set of detection methods for each, such that all potential invaders would be detected. We devised multi-element surveillance systems to detect each exemplar to the design power (0.8), then integrated them to a single system that was optimized for cost. Results: The surveillance system was deployed on the island to specification over 1 year, then reviewed for redesign in a second period. Main conclusions: The new method provided practical, risk-based surveillance system designs that met application requirements and overcame complex issues common to many surveillance applications. A review of experiences from surveillance in the first year led to practical improvements and design efficiencies. © 2013 John Wiley & Sons Ltd. |
| first_indexed | 2025-11-14T09:31:05Z |
| format | Journal Article |
| id | curtin-20.500.11937-46675 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:31:05Z |
| publishDate | 2013 |
| publisher | Blackwell Science Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-466752017-09-13T15:57:40Z A method for designing complex biosecurity surveillance systems: detecting non-indigenous species of invertebrates on Barrow Island Whittle, P. Stoklosa, R. Barrett, S. Jarrad, F. Majer, Jonathan Martin, P. Mengersen, K. Surveillance design Invasive species Statistical power Biosecurity Surveillance Non-indigenous species Aim: We developed a new method to design objective, risk-based surveillance systems for non-indigenous species of invertebrates, vertebrates and plants, which might be introduced to a natural area through an industrial project; here, we provide the invertebrate case study. The method addresses issues common to complex surveillance design problems: a statistical standard (e.g. power); information gaps; multiple targets of unclear identity; a large surveillance area of heterogeneous risk of invasion; integrating multiple sources of surveillance data; optimizing for cost. Location: Barrow Island, Western Australia. Methods: We mapped the surveillance area for risk to target surveillance activities. An expert group identified a set of exemplar species and identified and characterized a set of detection methods for each, such that all potential invaders would be detected. We devised multi-element surveillance systems to detect each exemplar to the design power (0.8), then integrated them to a single system that was optimized for cost. Results: The surveillance system was deployed on the island to specification over 1 year, then reviewed for redesign in a second period. Main conclusions: The new method provided practical, risk-based surveillance system designs that met application requirements and overcame complex issues common to many surveillance applications. A review of experiences from surveillance in the first year led to practical improvements and design efficiencies. © 2013 John Wiley & Sons Ltd. 2013 Journal Article http://hdl.handle.net/20.500.11937/46675 10.1111/ddi.12056 Blackwell Science Ltd restricted |
| spellingShingle | Surveillance design Invasive species Statistical power Biosecurity Surveillance Non-indigenous species Whittle, P. Stoklosa, R. Barrett, S. Jarrad, F. Majer, Jonathan Martin, P. Mengersen, K. A method for designing complex biosecurity surveillance systems: detecting non-indigenous species of invertebrates on Barrow Island |
| title | A method for designing complex biosecurity surveillance systems: detecting non-indigenous species of invertebrates on Barrow Island |
| title_full | A method for designing complex biosecurity surveillance systems: detecting non-indigenous species of invertebrates on Barrow Island |
| title_fullStr | A method for designing complex biosecurity surveillance systems: detecting non-indigenous species of invertebrates on Barrow Island |
| title_full_unstemmed | A method for designing complex biosecurity surveillance systems: detecting non-indigenous species of invertebrates on Barrow Island |
| title_short | A method for designing complex biosecurity surveillance systems: detecting non-indigenous species of invertebrates on Barrow Island |
| title_sort | method for designing complex biosecurity surveillance systems: detecting non-indigenous species of invertebrates on barrow island |
| topic | Surveillance design Invasive species Statistical power Biosecurity Surveillance Non-indigenous species |
| url | http://hdl.handle.net/20.500.11937/46675 |