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dc.contributor.authorYesson, Chris
dc.contributor.authorLetessier, Tom B.
dc.contributor.authorNimmo-Smith, Alex
dc.contributor.authorHosegood, Phil
dc.contributor.authorBrierley, Andrew S.
dc.contributor.authorHardouin, Marie
dc.contributor.authorProud, Roland
dc.date.accessioned2022-01-10T12:30:11Z
dc.date.available2022-01-10T12:30:11Z
dc.date.issued2021-12-22
dc.identifier277401849
dc.identifier2059cf72-8980-4cd3-a8cc-ab33ad892add
dc.identifier.citationYesson , C , Letessier , T B , Nimmo-Smith , A , Hosegood , P , Brierley , A S , Hardouin , M & Proud , R 2021 , ' Improved bathymetry leads to >4000 new seamount predictions in the global ocean – but beware of phantom seamounts! ' , UCL Open Environment , vol. 4 , 03 . https://doi.org/10.14324/111.444/ucloe.000030en
dc.identifier.issn2632-0886
dc.identifier.otherJisc: d7ab3cf91eb8483a9d9b5061dc514aed
dc.identifier.otherORCID: /0000-0002-6438-6892/work/106397383
dc.identifier.otherORCID: /0000-0002-8647-5562/work/106397596
dc.identifier.urihttps://hdl.handle.net/10023/24623
dc.descriptionWe are grateful to the Bertarelli Foundation for supporting this research. Institute of Zoology staff are funded by Research England. Field activities were conducted under permit and with support from the Foreign and Commonwealth Office and the BIOT administration.en
dc.description.abstractSeamounts 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.
dc.format.extent9
dc.format.extent9588734
dc.language.isoeng
dc.relation.ispartofUCL Open Environmenten
dc.subjectEnvironmental scienceen
dc.subjectBathymetryen
dc.subjectKnollsen
dc.subjectSeamountsen
dc.subjectGA Mathematical geography. Cartographyen
dc.subjectGC Oceanographyen
dc.subjectDASen
dc.subjectSDG 14 - Life Below Wateren
dc.subject.lccGAen
dc.subject.lccGCen
dc.titleImproved bathymetry leads to >4000 new seamount predictions in the global ocean – but beware of phantom seamounts!en
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Pelagic Ecology Research Groupen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.identifier.doihttps://doi.org/10.14324/111.444/ucloe.000030
dc.description.statusPeer revieweden


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