Data

Prioritising domestic locations for marine biosecurity management within a regional vessel network

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://apps.aims.gov.au/metadata/view/069c88dd-7daf-45af-9980-e7f5ef099373&rft.title=Prioritising domestic locations for marine biosecurity management within a regional vessel network&rft.identifier=https://apps.aims.gov.au/metadata/view/069c88dd-7daf-45af-9980-e7f5ef099373&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=Abstract:Growing economic development is dramatically increasing international and domestic maritime trade. A network of vessel traffic facilitates this trade, but also the movement and introduction of marine invaders. Each vessel movement can transport organisms beyond their natural range, threatening destination ecosystems and economies. Understanding vessel movements is key to predicting and managing potential incursions and the continued dispersal of non-indigenous species (NIS). Here, we present a powerful, transferable framework for quantifying the relative likelihood of NIS incursion and vessel-mediated dispersal through international and domestic maritime networks. We used two proxies of potential NIS transfer, derived from the movements of commercial and recreational vessels. One for NIS movements via a ship’s wetted hull surface area, and a second via ballast water. We demonstrate our framework with a case-study of New Zealand’s marine transport system. Using network analysis, we quantified relative incursion likelihood for each site from 1) international and 2) domestic vessel arrivals. Lastly, we quantified the extent of ‘secondary exposure’ for sites one more stop downstream of the high-risk sites identified in 1 & 2. Sites with the highest relative incursion likelihood were Auckland, Tauranga, Bluff, and New Plymouth. Several domestic sites were critical stepping-stone sites (e.g. Auckland and Tauranga) or local ‘spatial super-spreaders’ of NIS (e.g. Wellington, Lyttelton). We identified several locations experiencing elevated secondary exposure (e.g. Whanganui and Ravensbourne) – sites that may not be flagged by traditional biosecurity prioritisation approaches. This network-based approach is transferable to any jurisdiction with vessel data, to support NIS surveillance and pathway management.Maintenance and Update Frequency: notPlanned&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2026&rft.coverage=163.87207031250003,-46.64943616335025 165.80566406250003,-48.60385760823253 168.35449218750003,-48.487486479884126 171.87011718750003,-47.01022565568349 173.9794921875,-44.68427737181225 177.6708984375,-42.5854442573849 180.39550781250003,-39.605688178320804 180.0439453125,-36.985003092855955 177.7587890625,-35.63944106897393 174.15527343750003,-33.90689555128868 171.16699218750003,-32.8795871730663 172.13378906250003,-36.562600037385465 172.5732421875,-37.82280243352757 172.6611328125,-38.856820134743614 170.81542968750003,-41.0130657870063 168.9697265625,-42.06560675405716 167.03613281250003,-43.29320031385283 165.27832031250003,-44.24519901522129 164.57519531250003,-45.30580259943577 163.87207031250003,-46.64943616335025&rft_rights=Creative Commons Attribution-NonCommercial 3.0 Australia License http://creativecommons.org/licenses/by-nc/3.0/au/&rft_rights=Use Limitation: All AIMS data, products and services are provided as is and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science (AIMS). (2025). Prioritising domestic locations for marine biosecurity management within a regional vessel network. https://apps.aims.gov.au/metadata/view/069c88dd-7daf-45af-9980-e7f5ef099373, accessed[date-of-access].&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution-NonCommercial 3.0 Australia License
http://creativecommons.org/licenses/by-nc/3.0/au/

Use Limitation: All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science (AIMS). (2025). Prioritising domestic locations for marine biosecurity management within a regional vessel network. https://apps.aims.gov.au/metadata/view/069c88dd-7daf-45af-9980-e7f5ef099373, accessed[date-of-access]".

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Abstract:


Growing economic development is dramatically increasing international and domestic maritime trade. A network of vessel traffic facilitates this trade, but also the movement and introduction of marine invaders. Each vessel movement can transport organisms beyond their natural range, threatening destination ecosystems and economies. Understanding vessel movements is key to predicting and managing potential incursions and the continued dispersal of non-indigenous species (NIS). Here, we present a powerful, transferable framework for quantifying the relative likelihood of NIS incursion and vessel-mediated dispersal through international and domestic maritime networks. We used two proxies of potential NIS transfer, derived from the movements of commercial and recreational vessels. One for NIS movements via a ship’s wetted hull surface area, and a second via ballast water. We demonstrate our framework with a case-study of New Zealand’s marine transport system. Using network analysis, we quantified relative incursion likelihood for each site from 1) international and 2) domestic vessel arrivals. Lastly, we quantified the extent of ‘secondary exposure’ for sites one more stop downstream of the high-risk sites identified in 1 & 2. Sites with the highest relative incursion likelihood were Auckland, Tauranga, Bluff, and New Plymouth. Several domestic sites were critical stepping-stone sites (e.g. Auckland and Tauranga) or local ‘spatial super-spreaders’ of NIS (e.g. Wellington, Lyttelton). We identified several locations experiencing elevated secondary exposure (e.g. Whanganui and Ravensbourne) – sites that may not be flagged by traditional biosecurity prioritisation approaches. This network-based approach is transferable to any jurisdiction with vessel data, to support NIS surveillance and pathway management.

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Maintenance and Update Frequency: notPlanned

Notes

Credit
Dr Oliver Floerl
Credit
Dr Kyle Hilliam
Credit
Dr Simone L Stevenson
Credit
Deakin University
Credit
Dr Eric A Treml
Credit
Ministry for Business, Innovation and Enterprise (MBIE), New Zealand (investment number CAWX1904)

Modified: 18 09 2026

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163.87207,-46.64944 165.80566,-48.60386 168.35449,-48.48749 171.87012,-47.01023 173.97949,-44.68428 177.6709,-42.58544 180,-39.60569 180,-36.985 177.75879,-35.63944 174.15527,-33.9069 171.16699,-32.87959 172.13379,-36.5626 172.57324,-37.8228 172.66113,-38.85682 170.81543,-41.01307 168.96973,-42.06561 167.03613,-43.2932 165.27832,-44.2452 164.5752,-45.3058 163.87207,-46.64944

171.93603515625,-40.741722390649

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oceans |

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Other Information
Faubel, C., Floerl, O., Hilliam, K., Stevenson, S.L., Treml, E.A., 2025. Prioritising domestic locations for marine biosecurity management within a regional vessel network. Biological Conservation 312, 111470. https://doi.org/10.1016/j.biocon.2025.111470

doi : https://doi.org/10.1016/j.biocon.2025.111470

Faubel, Cal; Floerl, Oliver; Hilliam, Kyle; Stevenson, Simone L; Treml, Eric A (2025). Prioritising domestic locations for marine biosecurity management within a regional vessel network. figshare. Dataset. https://doi.org/10.6084/m9.figshare.30038929.v1

doi : https://doi.org/10.6084/m9.figshare.30038929.v1

Identifiers
  • global : 069c88dd-7daf-45af-9980-e7f5ef099373
ACN 633 798 857