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dc.contributor.authorPerry, CT
dc.contributor.authorLange, ID
dc.contributor.authorStuhr, M
dc.date.accessioned2023-05-04T14:59:57Z
dc.date.issued2023-04-20
dc.date.updated2023-05-04T14:46:58Z
dc.description.abstractStandardised methodologies for assessing reef-derived sediment generation rates do not presently exist. This represents a major knowledge gap relevant to better predicting reef-derived shoreline sediment supply. The census-based SedBudget method introduced here generates estimates of sediment composition and grain-size production as a function of the abundance and productivity of the major sediment-generating taxa at a reef site. Initial application of the method to several reefs in the northern Chagos Archipelago, Indian Ocean, generated total sediment generation estimates ranging from (mean ± SE) 0.7 ± 0.1 to 4.3 ± 1.3 kg CaCO3 m−2 yr−1. Sediment production was dominated by parrotfishes (>90% at most sites), with site-variable secondary contributions from sea urchins (up to 20%), endolithic sponges (~1–7%) and benthic foraminifera (~0.5–3.5%). These taxa-level contributions are predicted to generate sediments that at all sites are coral- (83–94%) and crustose coralline algae-dominated (range ~ 5–12%). Comparisons between these estimates and sedimentary data from proximal reef and island beach samples generally show a high degree of consistency, suggesting promise in the SedBudget approach. We conclude by outlining areas where additional datasets and revised methodologies are most needed to improve rate estimates and hope that the methodology will stimulate research on questions around sediment production, transport and shoreline maintenance.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.description.sponsorshipLeverhulme Trusten_GB
dc.description.sponsorshipBertarelli Foundationen_GB
dc.format.extent1-30
dc.identifier.citationVol. 1, article e26en_GB
dc.identifier.doihttps://doi.org/10.1017/cft.2023.14
dc.identifier.grantnumberNE/K003143/1en_GB
dc.identifier.grantnumberRF-2015-152en_GB
dc.identifier.urihttp://hdl.handle.net/10871/133084
dc.identifierORCID: 0000-0001-9398-2418 (Perry, CT)
dc.language.isoenen_GB
dc.publisherCambridge University Press (CUP)en_GB
dc.rights© The Author(s), 2023. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.en_GB
dc.subjectCoral reefen_GB
dc.subjectsediment productionen_GB
dc.subjectbiogenic carbonateen_GB
dc.subjectbioerosionen_GB
dc.subjectChagos Archipelagoen_GB
dc.titleQuantifying reef-derived sediment generation: introducing the SedBudget methodology to support tropical coastline and island vulnerability studiesen_GB
dc.typeArticleen_GB
dc.date.available2023-05-04T14:59:57Z
dc.identifier.issn2754-7205
exeter.article-numbere26
dc.descriptionThis is the final version. Available on open access from Cambridge University Press via the DOI in this recorden_GB
dc.descriptionData availability statement: The authors confirm that the data supporting the findings of this study are available within the article and/or its Supplementary Material.en_GB
dc.identifier.eissn2754-7205
dc.identifier.journalCambridge Prisms: Coastal Futuresen_GB
dc.relation.ispartofCambridge Prisms Coastal Futures, 1
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-03-28
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-04-20
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-05-04T14:57:50Z
refterms.versionFCDVoR
refterms.dateFOA2023-05-04T15:00:05Z
refterms.panelCen_GB
refterms.dateFirstOnline2023-04-20


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© The Author(s), 2023. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Except where otherwise noted, this item's licence is described as © The Author(s), 2023. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.