Predicted present-day suitable habitat and future climatic refugia habitat for deep-sea species on the North Atlantic
Distribution of predicted suitable habitat for six cold-water-coral, six deep-water fish and one sponge species, on the North Atlantic (18°N to 76°N and 36°E to 98°W). For each species, predicted habitat distribution was obtained for present-day conditions (1951-2000) and for the future climate refugias, i.e. the areas that were predicted as suitable both for present-day and forecasted future (2081-2010) conditions. The dataset gathers 26 raster layers created on the same grid of 25km * 25km resolution, downgraded from source layers (3km *3km resolution) that were created within the work package 3 of EU ATLAS project. The presence (value=1) of climate refugia and the relative cover (value ranging from 0 to 1) of present-day suitable habitat was extracted in gridsquares.
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
- Title
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Predicted present-day suitable habitat and future climatic refugia habitat for deep-sea species on the North Atlantic
- Date (Publication)
- 2019-08-14
- Citation identifier
- FR-330-715-368-00032-IFR_MARBEC_ATLAS_Species
- Citation identifier
- DOI:10.12770/786ae295-0922-4616-b5e0-db799f387fcc
- Abstract
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Distribution of predicted suitable habitat for six cold-water-coral, six deep-water fish and one sponge species, on the North Atlantic (18°N to 76°N and 36°E to 98°W). For each species, predicted habitat distribution was obtained for present-day conditions (1951-2000) and for the future climate refugias, i.e. the areas that were predicted as suitable both for present-day and forecasted future (2081-2010) conditions. The dataset gathers 26 raster layers created on the same grid of 25km * 25km resolution, downgraded from source layers (3km *3km resolution) that were created within the work package 3 of EU ATLAS project. The presence (value=1) of climate refugia and the relative cover (value ranging from 0 to 1) of present-day suitable habitat was extracted in gridsquares.
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.
- Credit
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Horizon 2020 ATLAS project (EU)
- Point of contact
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Organisation name Individual name Electronic mail address Role IFREMER
Combes Magali
Author IFREMER
Vaz Sandrine
Author IFREMER
Publisher
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Thèmes Sextant
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/Biological Environment/Species/Fauna
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GEMET - INSPIRE themes, version 1.0
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Species distribution
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- 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
- Language
- English
- Character set
- UTF8
- Topic category
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- Oceans
- Biota
![](https://sextant.ifremer.fr/geonetwork/srv/api/regions/geom.png?geomsrs=EPSG:4326&geom=POLYGON((36%2018,36%2076,-98%2076,-98%2018,36%2018)))
- 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
- Area
- Transformation parameter availability
- OnLine resource
-
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WWW:LINK-1.0-http--publication-URL
https://doi.org/10.1111/gcb.14996 Morato, T, González‐Irusta, J‐M, Dominguez‐Carrió, C, et al., 2020.
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Protocol Linkage Name WWW:LINK-1.0-http--metadata-URL
http://dx.doi.org/10.12770/786ae295-0922-4616-b5e0-db799f387fcc DOI of the dataset
- Hierarchy level
- Dataset
Conformance result
- Title
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RÈGLEMENT (UE) N o 1089/2010 DE LA COMMISSION du 23 novembre 2010 portant modalités d'application de la directive 2007/2/CE du Parlement européen et du Conseil en ce qui concerne l'interopérabilité des séries et des services de données géographiques
- Date (Publication)
- 2010-12-08
- Explanation
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See the referenced specification
- Statement
-
Habitat Suitability Models were developed by IMAR (Instituto do Mar, Universidade dos Açores, Horta, Portugal), for six fish, six coral, and one sponge species to assess the patterns of deep-sea species distribution and forecast their change under future climate change scenarios (ATLAS EU Deliverable 3.3). The relative cover of present-day suitable habitat and the presence of future climate refugia was extracted 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
-
The corals included three scleractinian corals forming aragonitic skeletons (the reef building colonial species Lophelia pertusa, Madrepora oculata, and the solitary coral Desmophyllum dianthus), and three gorgonians forming calcitic skeletons (Acanella arbuscula, Acanthogorgia armata, and Paragorgia arborea). The deep-sea fish species selected were the roundnose grenadier (Coryphaenoides rupestris), the Atlantic cod (Gadus morhua), the bluemouth rockfish (Helicolenus dactylopterus), the American plaice (Hippoglossoides platessoides), the Greenland halibut (Reinhardtius hippoglossoides), and the beaked redfish (Sebastes mentella). This list was complemented by a sponge species, Geodia barretti, thanks to a collaboration with the H2020 Blue Growth SponGES project which provided clean records for the species.
Habitat suitability models (ATLAS Deliverable 3.3) were developed using a collection of species records from various public sources and from ATLAS partners, a set of terrain (static in time) and environmental (dynamic in time) variables to predict present-day (1951-2000) distribution and to forecast future (2081-2100) changes. The climate refugia represent the habitats that are predicted suitable for both the present and the future conditions.
An ensemble modelling approach was employed, using the maximum entropy model (Maxent), Generalized Additive Models (GAMs) and the Random Forest machine learning algorithms. Binary outputs (coded 1 for presence and 0 for absence) defined with the Maximum Sensitivity and Specificity threshold (MSS) for present conditions and climate refugia were based on a 3km * 3km resolution, from 18°N to 76°N and 36E° to 98°W.
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
- Rationale
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Habitat suitability models
- Description
-
Using the R environment, the raster grid of 25km * 25km resolution was transformed to polygons, each polygon representing a gridsquare in the study area. The presence of climate refugia and the relative cover of present-day suitable habitat were computed 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. Regarding future climate refugia, the presence of refugia in the gridsquares, rather than their relative cover, was chosen as a precautionary approach given the uncertainty of future predictions. Polygon gridsquare were transformed back to raster using the rasterize function from the velox package.
- Rationale
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Extraction of predictions on the ATLAS grid
Metadata
- File identifier
- 786ae295-0922-4616-b5e0-db799f387fcc
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2020-03-16T18:45:27
- Metadata standard name
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ISO 19115:2003/19139 - SEXTANT
- Metadata standard version
-
1.0
- Metadata author
-
Organisation name Individual name Electronic mail address Role IFREMER
Vaz Sandrine
Author IFREMER
Combes Magali
Author
accessData
Overviews
![Overview](https://sextant.ifremer.fr/geonetwork/srv/api/records/786ae295-0922-4616-b5e0-db799f387fcc/attachments/madrepora_present_map.png)