The global distribution of seamounts based on 30 arc seconds bathymetry data

Seamounts and knolls are ‘undersea mountains’, the former rising more than 1000 m from the seafloor. These features provide important habitats for aquatic predators, demersal deep-sea fish and benthic invertebrates. However most seamounts have not been surveyed and their numbers and locations are no...

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Published in:Deep Sea Research Part I: Oceanographic Research Papers
Main Authors: Yesson, C, Clark, MR, Taylor, ML, Rogers, AD
Format: Article in Journal/Newspaper
Language:unknown
Published: Elsevier 2011
Subjects:
Online Access:http://repository.essex.ac.uk/20902/
https://doi.org/10.1016/j.dsr.2011.02.004
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spelling ftunivessex:oai:repository.essex.ac.uk:20902 2023-05-15T18:25:45+02:00 The global distribution of seamounts based on 30 arc seconds bathymetry data Yesson, C Clark, MR Taylor, ML Rogers, AD 2011-04 http://repository.essex.ac.uk/20902/ https://doi.org/10.1016/j.dsr.2011.02.004 unknown Elsevier Yesson, C and Clark, MR and Taylor, ML and Rogers, AD (2011) 'The global distribution of seamounts based on 30 arc seconds bathymetry data.' Deep Sea Research Part I: Oceanographic Research Papers, 58 (4). pp. 442-453. ISSN 0967-0637 GC Oceanography Article PeerReviewed 2011 ftunivessex https://doi.org/10.1016/j.dsr.2011.02.004 2022-08-18T22:40:35Z Seamounts and knolls are ‘undersea mountains’, the former rising more than 1000 m from the seafloor. These features provide important habitats for aquatic predators, demersal deep-sea fish and benthic invertebrates. However most seamounts have not been surveyed and their numbers and locations are not well known. Previous efforts to locate and quantify seamounts have used relatively coarse bathymetry grids. Here we use global bathymetric data at 30 arc-sec resolution to identify seamounts and knolls. We identify 33,452 seamounts and 138,412 knolls, representing the largest global set of identified seamounts and knolls to date. We compare estimated seamount numbers, locations, and depths with validation sets of seamount data from New Zealand and Azores. This comparison indicates the method we apply finds 94% of seamounts, but may overestimate seamount numbers along ridges and in areas where faulting and seafloor spreading creates highly complex topography. The seamounts and knolls identified herein are significantly geographically biased towards areas surveyed with ship-based soundings. As only 6.5% of the ocean floor has been surveyed with soundings it is likely that new seamounts will be uncovered as surveying improves. Seamount habitats constitute approximately 4.7% of the ocean floor, whilst knolls cover 16.3%. Regional distribution of these features is examined, and we find a disproportionate number of productive knolls, with a summit depth of <1.5 km, located in the Southern Ocean. Less than 2% of seamounts are within marine protected areas and the majority of these are located within exclusive economic zones with few on the High Seas. The database of seamounts and knolls resulting from this study will be a useful resource for researchers and conservation planners. Article in Journal/Newspaper Southern Ocean University of Essex Research Repository New Zealand Southern Ocean Deep Sea Research Part I: Oceanographic Research Papers 58 4 442 453
institution Open Polar
collection University of Essex Research Repository
op_collection_id ftunivessex
language unknown
topic GC Oceanography
spellingShingle GC Oceanography
Yesson, C
Clark, MR
Taylor, ML
Rogers, AD
The global distribution of seamounts based on 30 arc seconds bathymetry data
topic_facet GC Oceanography
description Seamounts and knolls are ‘undersea mountains’, the former rising more than 1000 m from the seafloor. These features provide important habitats for aquatic predators, demersal deep-sea fish and benthic invertebrates. However most seamounts have not been surveyed and their numbers and locations are not well known. Previous efforts to locate and quantify seamounts have used relatively coarse bathymetry grids. Here we use global bathymetric data at 30 arc-sec resolution to identify seamounts and knolls. We identify 33,452 seamounts and 138,412 knolls, representing the largest global set of identified seamounts and knolls to date. We compare estimated seamount numbers, locations, and depths with validation sets of seamount data from New Zealand and Azores. This comparison indicates the method we apply finds 94% of seamounts, but may overestimate seamount numbers along ridges and in areas where faulting and seafloor spreading creates highly complex topography. The seamounts and knolls identified herein are significantly geographically biased towards areas surveyed with ship-based soundings. As only 6.5% of the ocean floor has been surveyed with soundings it is likely that new seamounts will be uncovered as surveying improves. Seamount habitats constitute approximately 4.7% of the ocean floor, whilst knolls cover 16.3%. Regional distribution of these features is examined, and we find a disproportionate number of productive knolls, with a summit depth of <1.5 km, located in the Southern Ocean. Less than 2% of seamounts are within marine protected areas and the majority of these are located within exclusive economic zones with few on the High Seas. The database of seamounts and knolls resulting from this study will be a useful resource for researchers and conservation planners.
format Article in Journal/Newspaper
author Yesson, C
Clark, MR
Taylor, ML
Rogers, AD
author_facet Yesson, C
Clark, MR
Taylor, ML
Rogers, AD
author_sort Yesson, C
title The global distribution of seamounts based on 30 arc seconds bathymetry data
title_short The global distribution of seamounts based on 30 arc seconds bathymetry data
title_full The global distribution of seamounts based on 30 arc seconds bathymetry data
title_fullStr The global distribution of seamounts based on 30 arc seconds bathymetry data
title_full_unstemmed The global distribution of seamounts based on 30 arc seconds bathymetry data
title_sort global distribution of seamounts based on 30 arc seconds bathymetry data
publisher Elsevier
publishDate 2011
url http://repository.essex.ac.uk/20902/
https://doi.org/10.1016/j.dsr.2011.02.004
geographic New Zealand
Southern Ocean
geographic_facet New Zealand
Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_relation Yesson, C and Clark, MR and Taylor, ML and Rogers, AD (2011) 'The global distribution of seamounts based on 30 arc seconds bathymetry data.' Deep Sea Research Part I: Oceanographic Research Papers, 58 (4). pp. 442-453. ISSN 0967-0637
op_doi https://doi.org/10.1016/j.dsr.2011.02.004
container_title Deep Sea Research Part I: Oceanographic Research Papers
container_volume 58
container_issue 4
container_start_page 442
op_container_end_page 453
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