Evidence map›Paper›PMID 37228795›Full record

ArticleUCL open. Environment2021

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

Chris Yesson, Tom B Letessier, Alex Nimmo-Smith, Phil Hosegood, Andrew S Brierley, Marie Hardouin, Roland Proud

Abstract read
In one paragraph

Article in UCL open. Environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Ecology and evolution · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chris YessonInstitute of Zoology, Zoological Society of London, Regent's Park, London NW1 4RY, UK.ORCID https://orcid.org/0000-0002-6731-4229
Tom B LetessierInstitute of Zoology, Zoological Society of London, Regent's Park, London NW1 4RY, UK.ORCID https://orcid.org/0000-0003-4011-0207
Alex Nimmo-SmithSchool of Biological & Marine Science, University of Plymouth, Plymouth, Devon PL4 8AA, UK.ORCID https://orcid.org/0000-0003-3108-9231
Phil HosegoodSchool of Biological & Marine Science, University of Plymouth, Plymouth, Devon PL4 8AA, UK.ORCID https://orcid.org/0000-0002-4415-7152
Andrew S BrierleyPelagic Ecology Research Group, Scottish Oceans Institute, School of Biology, University of St Andrews, St Andrews, Fife KY16 9TS, UK.ORCID https://orcid.org/0000-0002-6438-6892
Marie HardouinInstitute of Zoology, Zoological Society of London, Regent's Park, London NW1 4RY, UK.ORCID https://orcid.org/0000-0003-3180-8363
Roland ProudPelagic Ecology Research Group, Scottish Oceans Institute, School of Biology, University of St Andrews, St Andrews, Fife KY16 9TS, UK.ORCID https://orcid.org/0000-0002-8647-5562

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

bathymetryenvironmental scienceknollsseamounts

Identifiers

PMID37228795
PMCPMC10171409

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.