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Pliocene shorelines and the epeirogenic motion of continental margins: A target dataset for dynamic topography models

dc.contributor.authorHollyday, Andrewen
dc.contributor.authorRaymo, Maureen E.en
dc.contributor.authorAustermann, Jacquelineen
dc.contributor.authorRichards, Freden
dc.contributor.authorHoggard, Marken
dc.contributor.authorRovere, Alessioen
dc.date.accessioned2025-06-11T21:39:45Z
dc.date.available2025-06-11T21:39:45Z
dc.date.issued2024-07-24en
dc.description.abstractGlobal mean sea level during the mid-Pliocene epoch (ĝ1/43 Ma), when CO2 and temperatures were above present levels, was notably higher than today due to reduced global ice sheet coverage. Nevertheless, the extent to which ice sheets responded to Pliocene warmth remains in question owing to high levels of uncertainty in proxy-based sea level reconstructions as well as solid Earth dynamic models that have been used to evaluate a limited number of data constraints. Here, we present a global dataset of 10 wave-cut scarps that formed by successive Pliocene sea level oscillations and which are observed today at elevations ranging from ĝ1/46 to 109 m above sea level. The present-day elevations of these features have been identified using a combination of high-resolution digital elevation models and field mapping. Using the MATLAB interface TerraceM, we extrapolate the cliff and platform surfaces to determine the elevation of the scarp toe, which in most settings is buried under meters of talus. We correct the scarp-toe elevations for glacial isostatic adjustment and find that this process alone cannot explain observed differences in Pliocene paleo-shoreline elevations around the globe. We next determine the signal associated with mantle dynamic topography by back-advecting the present-day three-dimensional buoyancy structure of the mantle and calculating the difference in radial surface stresses over the last 3 Myr using the convection code ASPECT. We include a wide range of present-day mantle structures (buoyancy and viscosity) constrained by seismic tomography models, geodynamic observations, and rock mechanics laboratory experiments. Finally, we identify preferred dynamic topography change predictions based on their agreement with scarp elevations and use our most confident result to estimate a Pliocene global mean sea level based on one scarp from De Hoop, South Africa. This inference (11.6 ± 5.2 m) is a downward revision and may imply that ice sheets were relatively resistant to warm Pliocene climate conditions. We also conclude, however, that more targeted model development is needed to more reliably infer mid-Pliocene global mean sea level based on all scarps mapped in this study.en
dc.description.sponsorshipWe thank Jonathan Gale for leading the global DEM search that identified the scarps in the DRC, Libya, Oman, and Yemen and for exploring and summarizing the existing literature on the geological facies associated with these scarps. We thank Alex Jan\u00DFen for the preliminary mapping of the scarps presented in this paper.We thank Michael O'Leary for discussing ideas and collaborating on a preliminary survey on the Mahafaly (Madagascar) scarp. The authors would also like to thank Nicolas Flament and Thomas Anderson for their constructive reviews of the manuscript. The authors acknowledge NSF grant OCE- 1202632 \"PLIOMAX\"for support. Jacqueline Austermann acknowledges support from the Vetlesen Foundation and the Alfred P. Sloan Research Fellowship (G-2021-15970). Fred Richards is grateful for the Imperial College Research Fellowship and Schmidt Science Fellowship schemes. Mark Hoggard acknowledges support from the Australian Research Council (DECRA DE220101519) and the Australian Government's \"Exploring for the Future\"program. Alessio Rovere acknowledges support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement no. 802414). The authors acknowledge PALSEA, a working group of the International Union for Quaternary Sciences (INQUA) and Past Global Changes (PAGES), which in turn received support from the Swiss Academy of Sciences and the Chinese Academy of Sciences. We acknowledge computing resources from Columbia University's Shared Research Computing Facility project, which is supported by NIH Research Facility Improvement under grant 1G20RR03893-01, and associated funds from the New York State Empire State Development, Division of Science Technology and Innovation (NYSTAR) under contract C090171, both awarded 15 April 2010. We are grateful for the Computational Infrastructure for Geodynamics (https://geodynamics.org, last access: 19 July 2024), which is funded by the National Science Foundation under awards EAR-0949446 and EAR-1550901, for supporting the development of ASPECT. The authors acknowledge NSF grant OCE-1202632 \u201CPLIOMAX\u201D for support. Jacqueline Austermann acknowledges support from the Vetlesen Foundation and the Alfred P. Sloan Research Fellowship (G-2021-15970). Fred Richards is grateful for the Imperial College Research Fellowship and Schmidt Science Fellowship schemes. Mark Hoggard acknowledges support from the Australian Research Council (DECRA DE220101519) and the Australian Government's \u201CExploring for the Future\u201D program. Alessio Rovere acknowledges support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement no. 802414). The authors acknowledge PALSEA, a working group of the International Union for Quaternary Sciences (INQUA) and Past Global Changes (PAGES), which in turn received support from the Swiss Academy of Sciences and the Chinese Academy of Sciences. We acknowledge computing resources from Columbia University's Shared Research Computing Facility project, which is supported by NIH Research Facility Improvement under grant 1G20RR03893-01, and associated funds from the New York State Empire State Development, Division of Science Technology and Innovation (NYSTAR) under contract C090171, both awarded 15 April 2010. We are grateful for the Computational Infrastructure for Geodynamics ( https://geodynamics.org , last access: 19 July 2024), which is funded by the National Science Foundation under awards EAR-0949446 and EAR-1550901, for supporting the development of ASPECT.en
dc.description.statusPeer-revieweden
dc.format.extent23en
dc.identifier.issn2196-6311en
dc.identifier.scopus85199698848en
dc.identifier.urihttps://hdl.handle.net/1885/733759085
dc.language.isoenen
dc.rightsPublisher Copyright: © Author(s) 2024.en
dc.sourceEarth Surface Dynamicsen
dc.titlePliocene shorelines and the epeirogenic motion of continental margins: A target dataset for dynamic topography modelsen
dc.typeJournal articleen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage905en
local.bibliographicCitation.startpage883en
local.contributor.affiliationHollyday, Andrew; Columbia Universityen
local.contributor.affiliationRaymo, Maureen E.; Columbia Universityen
local.contributor.affiliationAustermann, Jacqueline; Columbia Universityen
local.contributor.affiliationRichards, Fred; Imperial College Londonen
local.contributor.affiliationHoggard, Mark; Research School of Earth Sciences, ANU College of Science and Medicine, The Australian National Universityen
local.contributor.affiliationRovere, Alessio; Ca' Foscari University of Veniceen
local.identifier.citationvolume12en
local.identifier.doi10.5194/esurf-12-883-2024en
local.identifier.puree94b2102-d012-425a-bf60-0acf7a34eee5en
local.type.statusPublisheden

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