Data

Adaptive variation for reef resilience

Name: Adaptive variation for reef resilience
Published: 2026

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/7ccc16a1-fb39-42d9-9bf6-9dffaa0bafa3&rft.title=Adaptive variation for reef resilience&rft.identifier=https://apps.aims.gov.au/metadata/view/7ccc16a1-fb39-42d9-9bf6-9dffaa0bafa3&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=Larval biophysical dispersal modelling was used to estimate levels of natural connectivity in warm-adapted northern corals and investigate if barriers for larval dispersal exist between the warmer northern GBR and the cooler central and southern regions. These models were run using: single larval release site multiple reefs with similar biophysical parametersBiophysical larval dispersal models were run in Connie2 using the Great Barrier Reef larval connectivity model at 1 m depth (version date range: 02/11/2008–30/03/2009).Larval connectivity was modelled during peak spawning times (both days and month), with simulated larvae released from November 15 19:00 to November 15 20:50, 2008 over 25 replicate runs originating from Tijou Reef. Larval dispersal time was set at 96 days.For multiple release sites, 10 reefs were selected that had similar biophysical characteristics using the eReefs Hydrodynamic models (for a total of 15 release sites). An additional site was selected at Wilkie Reef, along with three reefs identified as robust sources of larvae in the Far North (Hock 1, 2 & 3).See Quigley et al. (2019) for more details.Maintenance and Update Frequency: asNeededStatement: Biophysical larval dispersal models were run in Connie2 - The Connie2 models use real ocean current data to model the movement of water between reefs at different depths. Dispersal potential was determined from larval duration and calculated as an average of the larval survival longevity of eight Acropora species. Limitations of biophysical models are discussed in the paper Quigley et al. (2019). These models only consider one year of oceanographic data, the resolution of biophysical models may not yet be fine enough to resolve individual reef scale differences. Some key information has not yet been incorporated (e.g., temporal and spatial variability in larval competency). Additional modelling should simulate larval dispersal under variable, large-scale oceanographic conditions.&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2026&rft.coverage=westlimit=144.1688; southlimit=-13.6756; eastlimit=144.1688; northlimit=-13.6756&rft.coverage=westlimit=144.1688; southlimit=-13.6756; eastlimit=144.1688; northlimit=-13.6756&rft.coverage=westlimit=144.0055; southlimit=-11.1218; eastlimit=144.0055; northlimit=-11.1218&rft.coverage=westlimit=144.0055; southlimit=-11.1218; eastlimit=144.0055; northlimit=-11.1218&rft.coverage=westlimit=143.642835; southlimit=-13.773711; eastlimit=143.642835; northlimit=-13.773711&rft.coverage=westlimit=143.642835; southlimit=-13.773711; eastlimit=143.642835; northlimit=-13.773711&rft.coverage=westlimit=144.0131; southlimit=-11.018; eastlimit=144.0131; northlimit=-11.018&rft.coverage=westlimit=144.0131; southlimit=-11.018; eastlimit=144.0131; northlimit=-11.018&rft.coverage=westlimit=147.149782; southlimit=-18.509446; eastlimit=147.149782; northlimit=-18.509446&rft.coverage=westlimit=147.149782; southlimit=-18.509446; eastlimit=147.149782; northlimit=-18.509446&rft.coverage=westlimit=151.93705; southlimit=-23.444177; eastlimit=151.93705; northlimit=-23.444177&rft.coverage=westlimit=151.93705; southlimit=-23.444177; eastlimit=151.93705; northlimit=-23.444177&rft.coverage=westlimit=143.947518; southlimit=-13.160922; eastlimit=143.947518; northlimit=-13.160922&rft.coverage=westlimit=143.947518; southlimit=-13.160922; eastlimit=143.947518; northlimit=-13.160922&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). (2019). Adaptive variation for reef resilience. https://apps.aims.gov.au/metadata/view/7ccc16a1-fb39-42d9-9bf6-9dffaa0bafa3, 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). (2019). Adaptive variation for reef resilience. https://apps.aims.gov.au/metadata/view/7ccc16a1-fb39-42d9-9bf6-9dffaa0bafa3, accessed[date-of-access]".

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Larval biophysical dispersal modelling was used to estimate levels of natural connectivity in warm-adapted northern corals and investigate if barriers for larval dispersal exist between the warmer northern GBR and the cooler central and southern regions. These models were run using:

single larval release site

multiple reefs with similar biophysical parameters

Biophysical larval dispersal models were run in Connie2 using the Great Barrier Reef larval connectivity model at 1 m depth (version date range: 02/11/2008–30/03/2009).

Larval connectivity was modelled during peak spawning times (both days and month), with simulated larvae released from November 15 19:00 to November 15 20:50, 2008 over 25 replicate runs originating from Tijou Reef. Larval dispersal time was set at 96 days.

For multiple release sites, 10 reefs were selected that had similar biophysical characteristics using the eReefs Hydrodynamic models (for a total of 15 release sites). An additional site was selected at Wilkie Reef, along with three reefs identified as robust sources of larvae in the Far North (Hock 1, 2 & 3).

See Quigley et al. (2019) for more details.

Lineage

Maintenance and Update Frequency: asNeeded

Statement: Biophysical larval dispersal models were run in Connie2 - The Connie2 models use real ocean current data to model the movement of water between reefs at different depths. Dispersal potential was determined from larval duration and calculated as an average of the larval survival longevity of eight Acropora species. Limitations of biophysical models are discussed in the paper Quigley et al. (2019). These models only consider one year of oceanographic data, the resolution of biophysical models may not yet be fine enough to resolve individual reef scale differences. Some key information has not yet been incorporated (e.g., temporal and spatial variability in larval competency). Additional modelling should simulate larval dispersal under variable, large-scale oceanographic conditions.

Notes

Credit
Van Oppen, M.J. (AIMS) and School of BioSciences, The University of Melbourne, Parkville, Vic., Australia

Credit
Quigley, K.M. Australian Institute of Marine Science (AIMS)

Credit
Bay, L.K. (AIMS)

Credit
Australian Research Council Laureate Fellowship, Grant/Award Number: FL180100036

Modified: 11 09 2026

This dataset is part of a larger collection

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text: westlimit=144.1688; southlimit=-13.6756; eastlimit=144.1688; northlimit=-13.6756

text: westlimit=144.0055; southlimit=-11.1218; eastlimit=144.0055; northlimit=-11.1218

text: westlimit=143.642835; southlimit=-13.773711; eastlimit=143.642835; northlimit=-13.773711

text: westlimit=144.0131; southlimit=-11.018; eastlimit=144.0131; northlimit=-11.018

text: westlimit=147.149782; southlimit=-18.509446; eastlimit=147.149782; northlimit=-18.509446

text: westlimit=151.93705; southlimit=-23.444177; eastlimit=151.93705; northlimit=-23.444177

text: westlimit=143.947518; southlimit=-13.160922; eastlimit=143.947518; northlimit=-13.160922

Subjects

oceans |

User Contributed Tags

Other Information

Quigley, KM, Bay, LK, van Oppen, MJH. The active spread of adaptive variation for reef resilience. Ecol Evol. 2019; 9: 11122– 11135. https://doi.org/10.1002/ece3.5616

doi : https://doi.org/10.1002/ece3.5616 DOI Link

Github link

url : https://github.com/LaserKate/AGF External Link

Identifiers

global : 7ccc16a1-fb39-42d9-9bf6-9dffaa0bafa3