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dc.contributor.authorDee, S.
dc.contributor.authorCuttler, M.
dc.contributor.authorO’Leary, M.
dc.contributor.authorHacker, J.
dc.contributor.authorBrowne, Nicola
dc.date.accessioned2023-04-12T00:37:30Z
dc.date.available2023-04-12T00:37:30Z
dc.date.issued2020
dc.identifier.citationDee, S. and Cuttler, M. and O’Leary, M. and Hacker, J. and Browne, N. 2020. The complexity of calculating an accurate carbonate budget. Coral Reefs. 39 (6): pp. 1525-1534.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/91401
dc.identifier.doi10.1007/s00338-020-01982-y
dc.description.abstract

A carbonate budget is a comprehensive measure of reef health and function that focuses on processes that produce and remove carbonate. A key parameter of a carbonate budget is reef topographic complexity, or rugosity, that is traditionally measured by the chain-and-tape (CT) method. However, to overcome spatial limitations of the CT method, modern studies are moving towards remote sensing data to quantify complexity on a reef-wide scale. Here, we compare rugosity values calculated using the traditional CT method with rugosity values derived from remote sensing, and assess implications of methodological approach for carbonate production estimates. Rugosities derived from remote sensing were calculated from high-resolution (0.1 m) LiDAR bathymetry from two turbid reefs in the Exmouth Gulf, Western Australia, and included virtual chain and tape (VCT), arc–chord ratio (ACR), and surface area to planar area (SAPA). Rugosity values varied significantly between methods (ranges: CT = 1.04–2.15, VCT = 1.01–1.10, ACR and SAPA = 1.00–1.07). Coral carbonate production rates calculated using the CT method were typical of turbid water reefs (2.9 and 3.8 kg m−2 yr−1) which were 30% greater than rates calculated using remote sensing. This variation questions the reliability and comparability of carbonate budgets using remote assessments of reef rugosity with previous budget studies that used the CT method. Given the limitations of remote sensing when capturing fine-scale reef rugosity, we propose that CT is currently a more appropriate method than remote sensing for quantifying rugosity within carbonate budget studies.

dc.languageEnglish
dc.publisherSPRINGER
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectMarine & Freshwater Biology
dc.subjectRugosity
dc.subjectCarbonate production
dc.subjectTurbid reefs
dc.subjectLiDAR
dc.subjectCORAL GROWTH-RATES
dc.subjectSTRUCTURAL COMPLEXITY
dc.subjectCLIMATE-CHANGE
dc.subjectSURFACE-AREA
dc.subjectREEF
dc.subjectRUGOSITY
dc.subjectDYNAMICS
dc.titleThe complexity of calculating an accurate carbonate budget
dc.typeJournal Article
dcterms.source.volume39
dcterms.source.number6
dcterms.source.startPage1525
dcterms.source.endPage1534
dcterms.source.issn0722-4028
dcterms.source.titleCoral Reefs
dc.date.updated2023-04-12T00:37:26Z
curtin.departmentSchool of Molecular and Life Sciences (MLS)
curtin.accessStatusFulltext not available
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidBrowne, Nicola [0000-0002-7160-6865]
dcterms.source.eissn1432-0975
curtin.contributor.scopusauthoridBrowne, Nicola [36069099100]
curtin.repositoryagreementV3


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