Data

Patterns in the chaos: scale and the spatio-temporal dynamics of GBR reef fish assemblages

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
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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/cf9e4217-de87-4530-9178-f74ce212d045&rft.title=Patterns in the chaos: scale and the spatio-temporal dynamics of GBR reef fish assemblages&rft.identifier=https://apps.aims.gov.au/metadata/view/cf9e4217-de87-4530-9178-f74ce212d045&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=This paper analyses the spatial patterns and temporal dynamics of the long-term fish dataset from the LTMP (see LTMP metadata for details on methods).The dataset spand 233 coral reef fish species, recorded from 1995 to 2023 across the entire GBR.We analysed spatial patterns and temporal dynamics at the whole GBR scale and the sector x shelf scale, by year and decade, and by total density and species richness, family level and species level. We used Bayesian glmms, and multivariate techniques such as PCA, Adonis and RDA.Maintenance and Update Frequency: annuallyStatement: LTMP&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2026&rft.coverage=142.41260644092773,-10.22384402212335 144.9614718151776,-10.827906379950859 146.98298573268605,-17.713371748938023 152.95963557575462,-21.10687254089482 153.83855467032356,-24.264610415102627 151.99282457172885,-24.58427814832984 148.21347246508256,-20.368109575139737 145.40093136246205,-18.297683509419908 145.66460709083267,-16.623197318493283 145.04936372463447,-14.933973155891705 143.90676890169487,-14.254457402061329 142.41260644092773,-10.22384402212335&rft_rights=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=The data was collected under contract between AIMS and another party(s). Specific agreements for access and use of the data shall be negotiated separately. Contact the AIMS Data Centre ([email protected]) for further information&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data
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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.

The data was collected under contract between AIMS and another party(s). Specific agreements for access and use of the data shall be negotiated separately. Contact the AIMS Data Centre ([email protected]) for further information

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This paper analyses the spatial patterns and temporal dynamics of the long-term fish dataset from the LTMP (see LTMP metadata for details on methods).


The dataset spand 233 coral reef fish species, recorded from 1995 to 2023 across the entire GBR.


We analysed spatial patterns and temporal dynamics at the whole GBR scale and the sector x shelf scale, by year and decade, and by total density and species richness, family level and species level. We used Bayesian glmms, and multivariate techniques such as PCA, Adonis and RDA.

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Maintenance and Update Frequency: annually
Statement: LTMP

Notes

Credit
Ceccarelli, DM
Credit
Emslie, MJ
Credit
Logan, M
Credit
Cole, A
Credit
Blandford, MI
Credit
Sinclair-Taylor, TH

Modified: 18 09 2026

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142.41261,-10.22384 144.96147,-10.82791 146.98299,-17.71337 152.95964,-21.10687 153.83855,-24.26461 151.99282,-24.58428 148.21347,-20.36811 145.40093,-18.29768 145.66461,-16.6232 145.04936,-14.93397 143.90677,-14.25446 142.41261,-10.22384

148.12558055563,-17.404061085227

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oceans |

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Other Information
GitHub Repository: LTMP Fish data

url : https://github.com/open-AIMS/LTMP_winners_and_loosers

Archived copy of GitHub Repository LTMP Fish Data

url : https://api.aims.gov.au/data-v2.0/cf9e4217-de87-4530-9178-f74ce212d045/files/LTMP_winners_and_loosers-main.zip

Species-level density means

url : https://api.aims.gov.au/data-v2.0/cf9e4217-de87-4530-9178-f74ce212d045/files/Ceccarelli et al patterns in the chaos Table S2.docx

https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecs2.70227

url : https://api.aims.gov.au/data-v2.0/cf9e4217-de87-4530-9178-f74ce212d045/files/Ceccarelli et al 2025 Ecosphere GBR spatiotemporal fish.pdf

Ceccarelli, Daniela M., Michael J. Emslie, Murray Logan, Andrew Cole, Makeely I. Blandford, and Tane H. Sinclair-Taylor. 2025. “ Patterns in the Chaos: Scale and the Spatiotemporal Dynamics of Coral Reef Fish Assemblages on the Great Barrier Reef.” Ecosphere 16(5): e70227. https://doi.org/10.1002/ecs2.70227

doi : https://doi.org/10.1002/ecs2.70227

global : a17249ab-5316-4396-bb27-29f2d568f727

Identifiers
  • global : cf9e4217-de87-4530-9178-f74ce212d045
ACN 633 798 857