Data

Integrated Reef Fish Monitoring Project (IMR)

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=info:doi10.25845/av83-rm67&rft.title=Integrated Reef Fish Monitoring Project (IMR)&rft.identifier=https://doi.org/10.25845/av83-rm67&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=The project focuses on monitoring reef fish assemblages in deep-water inter reef areas, inshore nursery grounds and fringing reefs of high continental islands. The surveys will first set monitoring baselines for offshore deep water inter-reefal fish communities beyond safe limits of SCUBA based surveys. Underwater Visual Census survey will occur on 8 island groups using transect based methods (Emslie & Cheal, 2018). Nursery seascapes will be surveyed with RUVS (non-baited BRUVS) and BRUVS to survey fishes various habitats (estuary, mangrove, seagrass, reef flat) in three seascape elements (coastal, inter-reef, and continental island).BRUVS and ROVs will be employed for data acquisition in three nodes, the northern, central and southern GBR. Sampling will be a spatially balanced design among different habitats (e.g. shoals, Halimeda banks, sponge gardens) as well as Marine Park zoning.Maintenance and Update Frequency: asNeededStatement: Three datasets were collected, one for each component of the project including: 1. Nursery Seascape - collected by TropWATER (James Cook University) and University of Sunshine Coast. - data collected in a number of inshore habitats (coastal mangroves, seagrass meadows, inter-reef shoals, bottom of fringing reef slopes, back reefs, island mangroves) - data for fish abundance, diversity and size collected by unbaited remote underwater video systems (RUVS) and baited remote underwater video systems (BRUVS) - data for benthic classification collected using drop camera imagery Data QC processes were performed by the collecting agencies and prior to data ingestion to AIMS Databases 2. Inshore Fringing Reef - Data collected by TropWATER (James Cook university) - data collected at 8 inshore island groups (Turtle Group, Franklin Island, Family Islands, Palm Islands, Magnetic Island, Whitsunday Islands, Cumberland Islands, Keppel Islands) in 2023 and 2024. - fish abundance, diversity and size data collected using underwater visual surveys conducted by experienced observers -benthic categorisation collected using point intercept transects Data QC processes were performed by the collecting agencies and prior to data ingestion to AIMS Databases 3. Deep-water inter-reef - data collected by AIMS - Fish abundance, diversity and size collected by BRUVS -video imagery analysed by experienced AIMS observers - AIMS QA/QC processes&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2026&rft.coverage=142.66845703125003,-10.865973865472773 143.9824216067791,-14.455828728418949 145.18432617187503,-14.70027447978099 146.22363254427913,-19.03910240871832 148.9042966067791,-20.156345934411974 149.69531223177913,-22.326031490194367 150.7939450442791,-22.569609988584993 152.59570285677913,-25.140339550071964 153.1669919192791,-24.302468582877434 152.1123044192791,-22.853241634292672 152.68359348177913,-21.2247102349069 150.0908200442791,-19.578002475923743 147.27832004427913,-18.16488299053108 142.73437500000003,-10.835114613929576 142.66845703125003,-10.865973865472773 142.73437500000003,-10.835114613929576 147.27832004427913,-18.16488299053108 150.0908200442791,-19.578002475923743 152.68359348177913,-21.2247102349069 152.1123044192791,-22.853241634292672 153.1669919192791,-24.302468582877434 152.59570285677913,-25.140339550071964 150.7939450442791,-22.569609988584993 149.69531223177913,-22.326031490194367 148.9042966067791,-20.156345934411974 146.22363254427913,-19.03910240871832 145.18432617187503,-14.70027447978099 143.9824216067791,-14.455828728418949 142.66845703125003,-10.865973865472773&rft_rights=Creative Commons Attribution 3.0 Australia License http://creativecommons.org/licenses/by/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). (2023). Integrated Reef Fish Monitoring Project (IMR). https://doi.org/10.25845/av83-rm67, accessed[date-of-access].&rft_subject=oceans&rft_subject=Abundance of biota&rft.type=dataset&rft.language=English Access the data

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Open Licence view details
CC-BY

Creative Commons Attribution 3.0 Australia License
http://creativecommons.org/licenses/by/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). (2023). Integrated Reef Fish Monitoring Project (IMR). https://doi.org/10.25845/av83-rm67, accessed[date-of-access]".

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Full description

The project focuses on monitoring reef fish assemblages in deep-water inter reef areas, inshore nursery grounds and fringing reefs of high continental islands. The surveys will first set monitoring baselines for offshore deep water inter-reefal fish communities beyond safe limits of SCUBA based surveys. Underwater Visual Census survey will occur on 8 island groups using transect based methods (Emslie & Cheal, 2018). Nursery seascapes will be surveyed with RUVS (non-baited BRUVS) and BRUVS to survey fishes various habitats (estuary, mangrove, seagrass, reef flat) in three seascape elements (coastal, inter-reef, and continental island).


BRUVS and ROVs will be employed for data acquisition in three nodes, the northern, central and southern GBR. Sampling will be a spatially balanced design among different habitats (e.g. shoals, Halimeda banks, sponge gardens) as well as Marine Park zoning.

Lineage

Maintenance and Update Frequency: asNeeded
Statement: Three datasets were collected, one for each component of the project including: 1. Nursery Seascape - collected by TropWATER (James Cook University) and University of Sunshine Coast. - data collected in a number of inshore habitats (coastal mangroves, seagrass meadows, inter-reef shoals, bottom of fringing reef slopes, back reefs, island mangroves) - data for fish abundance, diversity and size collected by unbaited remote underwater video systems (RUVS) and baited remote underwater video systems (BRUVS) - data for benthic classification collected using drop camera imagery Data QC processes were performed by the collecting agencies and prior to data ingestion to AIMS Databases 2. Inshore Fringing Reef - Data collected by TropWATER (James Cook university) - data collected at 8 inshore island groups (Turtle Group, Franklin Island, Family Islands, Palm Islands, Magnetic Island, Whitsunday Islands, Cumberland Islands, Keppel Islands) in 2023 and 2024. - fish abundance, diversity and size data collected using underwater visual surveys conducted by experienced observers -benthic categorisation collected using point intercept transects Data QC processes were performed by the collecting agencies and prior to data ingestion to AIMS Databases 3. Deep-water inter-reef - data collected by AIMS - Fish abundance, diversity and size collected by BRUVS -video imagery analysed by experienced AIMS observers - AIMS QA/QC processes

Notes

Credit
Institution: TropWATER (James Cook University)
Credit
Girringun Aboriginal Corporation
Credit
Institution: University of Sunshine Coast
Credit
Mingga Mingga Rangers and Manbarra Elders Counsel
Credit
Funding: Reef Trust Partnership administered by Great Barrier Reef Foundation
Credit
Yunbenun Advisory Group, Wulgurukaba Yunbenun Aboriginal Corporation and Wulgurukaba Aboriginal Corporation

Modified: 18 09 2026

This dataset is part of a larger collection

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142.66845703125003,-10.865973865472773 143.9824216067791,-14.455828728418949 145.18432617187503,-14.70027447978099 146.22363254427913,-19.03910240871832 148.9042966067791,-20.156345934411974 149.69531223177913,-22.326031490194367 150.7939450442791,-22.569609988584993 152.59570285677913,-25.140339550071964 153.1669919192791,-24.302468582877434 152.1123044192791,-22.853241634292672 152.68359348177913,-21.2247102349069 150.0908200442791,-19.578002475923743 147.27832004427913,-18.16488299053108 142.73437500000003,-10.835114613929576 142.66845703125003,-10.865973865472773 142.73437500000003,-10.835114613929576 147.27832004427913,-18.16488299053108 150.0908200442791,-19.578002475923743 152.68359348177913,-21.2247102349069 152.1123044192791,-22.853241634292672 153.1669919192791,-24.302468582877434 152.59570285677913,-25.140339550071964 150.7939450442791,-22.569609988584993 149.69531223177913,-22.326031490194367 148.9042966067791,-20.156345934411974 146.22363254427913,-19.03910240871832 145.18432617187503,-14.70027447978099 143.9824216067791,-14.455828728418949 142.66845703125003,-10.865973865472773

147.91772447526,-17.987727082001

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Identifiers
  • global : f538f63d-9c91-4f30-87e8-456bbb908985
ACN 633 798 857