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      Improved bathymetry leads to >4000 new seamount predictions in the global ocean – but beware of phantom seamounts!

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          Abstract

          Seamounts are important marine habitats that are hotspots of species diversity. Relatively shallow peaks, increased productivity and offshore locations make seamounts vulnerable to human impact and difficult to protect. Present estimates of seamount numbers vary from anywhere between 10,000 to more than 60,000. Seamount locations can be estimated by extracting large, cone-like features from bathymetry grids (based on criteria of size and shape). These predicted seamounts are a useful reference for marine researchers and can help direct exploratory surveys. However, these predictions are dependent on the quality of the surveys underpinning the bathymetry. Historically, quality has been patchy, but is improving as mapping efforts step up towards the target of complete seabed coverage by 2030. This study presents an update of seamount predictions based on SRTM30 PLUS global bathymetry version 11 and examines a potential source of error in these predictions. This update was prompted by a seamount survey in the British Indian Ocean Territory in 2016, where locations of two putative seamounts were visited. These ‘seamounts’ were targeted based on previous predictions, but these features were not detected during echosounder surveys. An examination of UK hydrographic office navigational (Admiralty) charts for the area showed that the summits of these putative features had soundings reporting ‘no bottom detected at this depth’ where ‘this depth’ was similar to the seabed reported from the bathymetry grids: we suspect that these features likely resulted from an initial misreading of the charts. We show that 15 ‘phantom seamount’ features, derived from a misinterpretation of no bottom sounding data, persist in current global bathymetry grids and updated seamount predictions. Overall, we predict 37,889 seamounts, an increase of 4437 from the previous predictions derived from an older global bathymetry grid (SRTM30 PLUS v6). This increase is due to greater detail in newer bathymetry grids as acoustic mapping of the seabed expands. The new seamount predictions are available at https://doi.pangaea.de/10.1594/PANGAEA.921688.

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          Most cited references28

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          Global Bathymetry and Elevation Data at 30 Arc Seconds Resolution: SRTM30_PLUS

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            Marine geophysics. New global marine gravity model from CryoSat-2 and Jason-1 reveals buried tectonic structure.

            Gravity models are powerful tools for mapping tectonic structures, especially in the deep ocean basins where the topography remains unmapped by ships or is buried by thick sediment. We combined new radar altimeter measurements from satellites CryoSat-2 and Jason-1 with existing data to construct a global marine gravity model that is two times more accurate than previous models. We found an extinct spreading ridge in the Gulf of Mexico, a major propagating rift in the South Atlantic Ocean, abyssal hill fabric on slow-spreading ridges, and thousands of previously uncharted seamounts. These discoveries allow us to understand regional tectonic processes and highlight the importance of satellite-derived gravity models as one of the primary tools for the investigation of remote ocean basins.
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              A new digital bathymetric model of the world's oceans

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                Author and article information

                Journal
                UCL Open Environ
                UCLOE
                UCL Open Environment
                UCL Open Environ
                UCL Press (UK )
                2632-0886
                22 December 2021
                2021
                : 4
                : e030
                Affiliations
                [1 ]Institute of Zoology, Zoological Society of London, Regent’s Park, London NW1 4RY, UK
                [2 ]Pelagic Ecology Research Group, Scottish Oceans Institute, School of Biology, University of St Andrews, St Andrews, Fife KY16 9TS, UK
                [3 ]School of Biological & Marine Science, University of Plymouth, Plymouth, Devon PL4 8AA, UK
                [4 ]Imperial College London, Silwood Park, Ascot, Berkshire SL5 7PY, UK
                Author notes
                *Corresponding author: E-mail: chris.yesson@ 123456ioz.ac.uk
                Author information
                https://orcid.org/0000-0002-6731-4229
                https://orcid.org/0000-0003-4011-0207
                https://orcid.org/0000-0003-3108-9231
                https://orcid.org/0000-0002-4415-7152
                https://orcid.org/0000-0002-6438-6892
                https://orcid.org/0000-0003-3180-8363
                https://orcid.org/0000-0002-8647-5562
                Article
                10.14324/111.444/ucloe.000030
                10171409
                ff0e0e4d-1551-431e-8028-5bf1c36ed523
                © 2021 The Authors.

                This is an open access article distributed under the terms of the Creative Commons Attribution Licence (CC BY) 4.0, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 June 2020
                : 03 November 2021
                Page count
                Figures: 5, Tables: 1, References: 29, Pages: 9
                Categories
                Research Article

                environmental science,seamounts,knolls,bathymetry
                environmental science, seamounts, knolls, bathymetry

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