Data

One-off swim surveys recording total macroalgal cover in the Great Barrier Reef, and their spatial and environmental predictors

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
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Although not recent, the data are ecologically valuable due to their large spatial coverage along complex environmental gradients.Environmental predictors were obtained for each transect from in situ data, and from eReefs, a coupled hydrodynamic-biochemical model.The study found that macroalgae dominated the benthos (≥50% cover) on at least one sites onf 40.4% of surveyed inshore reefs. Spatially, macroalgal cover increased steeply towards the coast, with latitude away from the equator, and towards shallow (≤3 m) depth. Environmental conditions associated with macroalgal dominance were: high tidal range, wave exposure and irradiance, and low aragonite saturation state, Secchi depth, total alkalinity and temperature. Evidence of space competition between macroalgal cover and hard coral cover was restricted to shallow inshore sites. Our extensive empirical data and relationships may serve to parameterize ecosystem models, and to optimize refine reef condition indices based on macroalgal data for Pacific coral reefs.This dataset underpins the study: Fabricius KE, Crossman K, Jonker M, Mongin M, Thompson A . (2023) Macroalgal cover on coral reefs: spatial and environmental predictors, and decadal trends in the Great Barrier Reef. PLOS One.We acknowledge the Traditional Owners of the Sea Country of the Great Barrier Reef, and pay our respects to their Elders past, present and emerging. We acknowledge their continuing spiritual connection to their Sea Country.Maintenance and Update Frequency: notPlannedStatement: The present study follows the definition of macroalgae as often described by coral reef studies, with ‘total macroalgal cover’ (MA) including upright fleshy and calcified benthic macroalgae >10 mm in height. Excluded are cyanobacteria, colonial chrysophytes, turf algae and crustose coralline algae, due to their very different biology and functional differences. Small cryptic macroalgae that are almost ubiquitous in gaps within the complex reef matrix are also not considered here Rapid ecological swim surveys have been previously described by Surveys Of Octocoral Communities, Benthic Cover And Environmental Factors On Coral Reefs Of The Great Barrier Reef https://apps.aims.gov.au/metadata/view/2b671780-4415-4c26-8926-7519b0bffce0 Users of the r code package MA-GBR-analyses are requested to contact AIMS for further information. 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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). (2022). One-off swim surveys recording total macroalgal cover in the Great Barrier Reef, and their spatial and environmental predictors. https://doi.org/10.25845/mvtx-3a97, accessed[date-of-access].&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

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). (2022). One-off swim surveys recording total macroalgal cover in the Great Barrier Reef, and their spatial and environmental predictors. https://doi.org/10.25845/mvtx-3a97, accessed[date-of-access]".

Access:

Other

Full description

Macroalgae are an important component of coral reef ecosystems. We identified the spatial patterns, environmental drivers and long-term trends of total cover of upright fleshy and calcareous coral reef inhabiting macroalgae in the Great Barrier Reef. The spatial study comprised of one-off surveys of 1257 transects at 324 sites on 163 reefs between latitude 11.0° to 23.6°S, coastal to offshore, at 0-18 m depth. The surveys were conducted between 1997 and 2008. Although not recent, the data are ecologically valuable due to their large spatial coverage along complex environmental gradients.
Environmental predictors were obtained for each transect from in situ data, and from eReefs, a coupled hydrodynamic-biochemical model.

The study found that macroalgae dominated the benthos (≥50% cover) on at least one sites onf 40.4% of surveyed inshore reefs. Spatially, macroalgal cover increased steeply towards the coast, with latitude away from the equator, and towards shallow (≤3 m) depth. Environmental conditions associated with macroalgal dominance were: high tidal range, wave exposure and irradiance, and low aragonite saturation state, Secchi depth, total alkalinity and temperature. Evidence of space competition between macroalgal cover and hard coral cover was restricted to shallow inshore sites. Our extensive empirical data and relationships may serve to parameterize ecosystem models, and to optimize refine reef condition indices based on macroalgal data for Pacific coral reefs.


This dataset underpins the study: Fabricius KE, Crossman K, Jonker M, Mongin M, Thompson A . (2023) Macroalgal cover on coral reefs: spatial and environmental predictors, and decadal trends in the Great Barrier Reef. PLOS One.


We acknowledge the Traditional Owners of the Sea Country of the Great Barrier Reef, and pay our respects to their Elders past, present and emerging. We acknowledge their continuing spiritual connection to their Sea Country.

Lineage

Maintenance and Update Frequency: notPlanned
Statement: The present study follows the definition of macroalgae as often described by coral reef studies, with ‘total macroalgal cover’ (MA) including upright fleshy and calcified benthic macroalgae >10 mm in height. Excluded are cyanobacteria, colonial chrysophytes, turf algae and crustose coralline algae, due to their very different biology and functional differences. Small cryptic macroalgae that are almost ubiquitous in gaps within the complex reef matrix are also not considered here Rapid ecological swim surveys have been previously described by Surveys Of Octocoral Communities, Benthic Cover And Environmental Factors On Coral Reefs Of The Great Barrier Reef https://apps.aims.gov.au/metadata/view/2b671780-4415-4c26-8926-7519b0bffce0 Users of the r code package MA-GBR-analyses are requested to contact AIMS for further information. The authors and data custodians request being contacted and involved in decision making processes that incorporate this data, to ensure its limitations are fully understood.

Notes

Credit
Fabricius, KE (AIMS)
Credit
Mongin, M, CSIRO Oceans and Atmospheric Processes, Hobart TAS, Australia
Credit
Crossman, K (AIMS)
Credit
Thompson, A (AIMS)
Credit
Funding: The one-off surveys and the AIMS Long-term monitoring program were funded by core operational funding of the Australian Institute of Marine Science (AIMS; www.aims.gov.au), the desktop research was funded by the Reef Restoration and Adaptation Program (https://gbrrestoration.org/), a partnership between the Australian Governments Reef Trust and the Great Barrier Reef Foundation, and AIMS.
Credit
Additional Contributions: Mathieu Mongin, CSIRO provided the eReefs data as the environmental variables.
Credit
Jonker, MJ (AIMS)

Modified: 25 09 2026

This dataset is part of a larger collection

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Subjects
oceans |

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Other Information
Source Dataset: AIMS Long-Term Monitoring Program: Video And Photo Transects (Great Barrier Reef)

doi : https://doi.org/10.25845/5c09bc4ff315c

Data Dictionary [csv file size: 6KB]

url : https://api.aims.gov.au/data-v2.0/b2033dc8-e620-45a7-bcea-e651aa30fa51/files/Data-Dictionary.csv

mdata2_2022_final csv file (size: 789 KB)

url : https://api.aims.gov.au/data-v2.0/b2033dc8-e620-45a7-bcea-e651aa30fa51/files/mdat2_2022_final.csv

Source Dataset: Surveys of Octocoral communities, benthic cover and environmental factors on coral reefs of the Great Barrier Reef

url : https://apps.aims.gov.au/metadata/view/2b671780-4415-4c26-8926-7519b0bffce0

Fabricius KE, Crossman K, Jonker M, Mongin M, Thompson A (2023) Macroalgal cover on coral reefs: Spatial and environmental predictors, and decadal trends in the Great Barrier Reef. PLOS ONE 18(1): e0279699. https://doi.org/10.1371/journal.pone.0279699

doi : https://doi.org/10.1371/journal.pone.0279699

R scripts for Macroalgal cover on coral reefs: spatial, environmental and biotic predictors, and decadal trends in the Great Barrier Reef [Software]

url : https://github.com/open-AIMS/MA-GBR-analyses

Macroalgal surveys and ereefs data [csv files size: 606KB]

url : https://api.aims.gov.au/data-v2.0/b2033dc8-e620-45a7-bcea-e651aa30fa51/files/MA_Surveys_eReefs_Final_MEST_data_2022_02.csv

global : fe9659f1-12d6-4acf-ab89-67acdd37efe5

Identifiers
  • global : b2033dc8-e620-45a7-bcea-e651aa30fa51
ACN 633 798 857