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Deep-sea bathymetric variables (slope, depth, BPI) on the North Atlantic

Distribution of three bathymetric terrain variables (depth, slope and Bathymetric Position Index) on the North Atlantic (18°N to 76°N and 36°E to 98°W). This dataset originated from three source layers (3km * 3km resolution) computed within the work package 3 of EU ATLAS project, and based on the EMODnet Digital Bathymetry portal and the General Bathymetric Chart of the Oceans (GEBCO). From these source layers, the mean depth (m), slope (degree) and BPI (no unit) were calculated for each 25km * 25km gridsquare.

This dataset was built to feed a basin-wide spatial conservation planning exercise, targeting the deep sea of the North Atlantic. The goal of this approach was to identify conservation priority areas for Vulnerable Marine Ecosystems (VMEs) and deep fish species, based on the distribution of species and habitats, human activities and current spatial management.

Simple

Date ( Publication )
2019-08-14
Identifier
FR-330-715-368-00032-IFR_MARBEC_ATLAS_Bath_Var
Identifier
DOI:10.12770/7134e787-416e-4876-b84b-1ac65ca21f0d
Credit
Horizon 2020 ATLAS project (EU)
Author
IFREMER - Combes Magali
Author
IFREMER - Vaz Sandrine
Station de Sète - Avenue Jean Monnet - CS 30171 - 34203 Sète Cedex , Sete , France
Publisher
IFREMER -
Thèmes Sextant ( Theme )
  • /Physical Environment/Bathymetry/Digital Terrain Model
GEMET - INSPIRE themes, version 1.0 ( Theme )
  • Elevation
Use limitation
CC-BY-NC-SA (Creative Commons - Attribution, Pas d’utilisation commerciale, Partage dans les mêmes conditions)
Access constraints
License
Use constraints
License
Spatial representation type
Grid
Distance
25  km
Metadata language
en
Character set
UTF8
Topic category
  • Oceans
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S
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W
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Reference system identifier
+proj=aea +lat_1=43 +lat_2=62 +lat_0=30 +lon_0=-30 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0
Number of dimensions
2
Dimension name
Row
Dimension size
273
Resolution
25  km
Dimension name
Column
Dimension size
491
Resolution
25  km
Cell geometry
surface
Transformation parameter availability
No
OnLine resource
IFR_MARBEC_ATLAS_MEAN_BPI_NORTHATL ( OGC:WMS )

Mean Bathymetric Position Index - North Atlantic

Protocol
COPYFILE
Name
IFR_MARBEC_ATLAS_MEAN_BPI_NORTHATL
Description
Mean Bathymetric Position Index - North Atlantic
OnLine resource
Morato, T, González‐Irusta, J‐M, Dominguez‐Carrió, C, et al., 2020 ( WWW:LINK-1.0-http--publication-URL )

Morato, T, González‐Irusta, J‐M, Dominguez‐Carrió, C, et al. Climate‐induced changes in the suitable habitat of cold‐water corals and commercially important deep‐sea fishes in the North Atlantic. Glob Change Biol. 2020; 26: 2181– 2202. https://doi.org/10.1111/gcb.14996

OnLine resource
IFR_MARBEC_ATLAS_MEAN_DEPTH_NORTHATL ( OGC:WMS )

Mean depth - North Atlantic

Protocol
COPYFILE
Name
IFR_MARBEC_ATLAS_MEAN_DEPTH_NORTHATL
Description
Mean depth - North Atlantic
OnLine resource
IFR_MARBEC_ATLAS_MEAN_SLOPE_NORTHATL ( OGC:WMS )

Mean slope - north Atlantic

Protocol
COPYFILE
Name
IFR_MARBEC_ATLAS_MEAN_SLOPE_NORTHATL
Description
Mean slope - north Atlantic
OnLine resource
DOI of the dataset ( WWW:LINK-1.0-http--metadata-URL )

DOI of the dataset

Hierarchy level
Dataset

Conformance result

Date ( Publication )
2010-12-08
Explanation
See the referenced specification
Statement

The three terrain variables were initially computed for the ATLAS Deliverable 3.3 by IMAR (Instituto do Mar, Universidade dos Açores, Horta, Portugal). The values of initial layers of 3km * 3km resolution were averaged in 25km * 25 km gridsquares of the raster grid used for the ATLAS spatial prioritization.

Source data reference:

Morato, T, González‐Irusta, J‐M, Dominguez‐Carrió, C, et al. Climate‐induced changes in the suitable habitat of cold‐water corals and commercially important deep‐sea fishes in the North Atlantic. Glob Change Biol. 2020; 26: 2181– 2202. https://doi.org/10.1111/gcb.14996

Telmo Morato, José-Manuel González-Irusta, Carlos Dominguez-Carrió, Chih-Lin Wei, Andrew Davies, Andrew K. Sweetman, Gerald H. Taranto, Lindsay Beazley, Ana García-Alegre, Anthony Grehan, Pascal Laffargue, F. Javier Murillo, Mar Sacau, Sandrine Vaz, Ellen Kenchington, Sophie Arnaud-Haond, Oisin Callery, Giovanni Chimienti, Erik Cordes, Hronn Egilsdottir, André Freiwald, Ryan Gasbarro, Matt Gianni; Kent Gilkinson, Vonda E. Wareham Hayes, Dierk Hebbeln, Kevin Hedges, Lea-Anne Henry, Georgios Kazanidis, Mariano Koen-Alonso, Cam Lirette, Francesco Mastrototaro, Lénaick Menot, Tina Molodtsova, Pablo Durán Muñoz, Bramley Murton, Covadonga Orejas, Maria Grazia Pennino, Patricia Puerta, Stefán Á. Ragnarsson, Berta Ramiro-Sánchez, Jake Rice, Jesús Rivera, Murray Roberts, Luís Rodrigues,

Steve W. Ross, José L. Rueda, Tim Siferd, Paul Snelgrove, David Stirling, Margaret Treble, Javier Urra, Johanne Vad, Les Watling, Wojciech Walkusz, Zeliang Wang, Claudia Wienberg, Mathieu Woillez, Lisa A. Levin, Francis Neat, Diya Das, Laurence Fauconnet, Claudia Viegas, Pedro Afonso, Gui Menezes, Mario Rui Pinho, Helder Silva, Alexandra Rosa, Diana Catarino, Eva Giacomello, Javi Guijarro, Jason Cleland, Isobel Yeo, Joana R. Xavier, Íris Sampaio, Jeremy Spearman, Lissette Victorero, Charles G. Messing, Meri Bilan, Jordi Blasco-Ferre, Jean-François Bourillet, Laurent de Chambure, Jaime S. Davies, Norbert Frank, Brigitte Guillaumont, Konstantinos Georgoulas, Barbara Berx, Karine Olu, Manuela Ramos, Laís Ramalho, Olga Reñones, José Antonio Caballero, Fernando Tempera, Julie Tourolle, Olga Utrilla, Inge van den Beld, Olga Utrilla, Igor Yashayaev, Marina Carreiro-Silva (2019) ATLAS EU D3.3 Biodiversity, biogeography and GOODS classification system under current climate conditions and future IPCC scenarios. https://www.eu-atlas.org/resources/atlas-library

Description

Terrain variable depth (in m) was extracted from a bathymetry grid built from two data sources: the EMODnet Digital Bathymetry portal (EMODnet, 2016) and the General Bathymetric Chart of the Oceans (GEBCO, 2014). The original resolution from EMODnet (0.002°) was up-scaled to the GEBCO resolution (0.008°) using a bilinear interpolation. The bathymetry layers were merged by using EMODnet data when available and completing it with GEBCO 2014, and rescaled to the final resolution of 3x3 km using bilinear interpolation. Slope (in degrees) was derived from the final bathymetry grid using the package raster of the R environment and the Bathymetric Position Index (BPI) was computed using the Benthic Terrain Model 3.0 tool in ArcGIS 10.1 with an inner radius of 3 and an outer radius of 25. In order to avoid extreme values, BPI was standardized using the scale function from the raster package.

References: EMODnet Bathymetry Consortium. (2016). EMODnet Digital Bathymetry (DTM 2016) [Data set]. https://doi.org/10.12770/c7b53704-999d-4721-b1a3-04ec60c87238 ; GEBCO (2014) .General Bathymetric Chart of the Oceans - GEBCO_2014 Grid. https://www.gebco.net/data_and_products/historical_data_sets/#gebco_2014

Rationale
Computation of depth, slope and BPI
Description
Using the R environment, the ATLAS spatial prioritization raster grid of 25km * 25km resolution was transformed to polygons, each polygon representing a gridsquare in the study area. Mean values of depth, slope and BPI were calculated for each gridsquare using the extract function from the velox package in R, allowing to account for the area of each raster cell overlapping with the gridsquare. Polygon gridsquare were transformed back to raster using the rasterize function from the velox package.
Rationale
extraction of variables on the ATLAS grid
File identifier
7134e787-416e-4876-b84b-1ac65ca21f0d XML
Metadata language
en
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2020-03-16T18:50:26
Metadata standard name
ISO 19115:2003/19139 - SEXTANT
Metadata standard version
1.0
Author
IFREMER - Vaz Sandrine
Station de Sète - Avenue Jean Monnet - CS 30171 - 34203 Sète Cedex , Sete , France
Author
IFREMER - Combes Magali
 
 

Overviews

overview

Spatial extent

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Keywords

GEMET - INSPIRE themes, version 1.0
Elevation
Thèmes Sextant
/Physical Environment/Bathymetry/Digital Terrain Model

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