Catalogue PIGMA
Environmental predictors associated with Mediterranean bioregions of megabenthic communities
Simple
- Date (Creation)
- 2025-01-17
- Date (Publication)
- 2025-05-17
- Credit
- Ifremer
- Thèmes Sextant
-
- /Biological Environment/Habitats
- GEMET - INSPIRE themes, version 1.0
-
- Habitats and biotopes
- DCSMM : Descripteurs
-
- D1: Coastal benthic habitats
- Thématiques - SIMM
-
- /Environmental Status/Habitats
- /Environmental Status/Species
- Use limitation
- CC-BY (Creative Commons - Attribution)
- Access constraints
- Other restrictions
- Use constraints
- Copyright
- Other constraints
- We do our best to ensure that the data is complete, accurate and useful. However, because the processing required to generate the data is complex, we cannot be liable for omissions or inaccuracies. The data and any related materials contained therein are provided “as is”, without warranty of any kind, either expressed or implied, including but not limited to, fitness for a particular purpose, non-interference, system integration, or non-infringement. The entire risk of use of the data shall be with the user.
- Aggregate Datasetindentifier
- 79050557-6f8a-48cc-9e60-4112cae9fd18
- Association Type
- Cross reference
- Aggregate Datasetindentifier
- 50bc62bb-a226-445d-a2b9-b45c59eaaec1
- Association Type
- Cross reference
- Aggregate Datasetindentifier
- b0a85bec-a8a7-40f8-ae83-b4302328c5f4
- Association Type
- Cross reference
- Aggregate Datasetindentifier
- e4521877-e3a0-4dbf-867e-6a339e1c957f
- Association Type
- Cross reference
- Spatial representation type
- grid Grid
- Distance
- 0.04 degree
- Metadata language
- English
- Character set
- utf8 UTF8
- Topic category
-
- Oceans
- Environment
))
- Begin date
- 2016-01-01
- End date
- 2023-12-31
- Reference system identifier
- EPSG / WGS 84 (EPSG:4326) / 8.6
- Number of dimensions
- 2
- Dimension name
- Vertical
- Dimension size
- 355200
- Dimension name
- Column
- Cell geometry
- Area
- Transformation parameter availability
- No
- Distribution format
-
-
(
)
-
(
)
- OnLine resource
- The Distinction between Grain Size and Mineral Composition in Sedimentary-Rock Nomenclature ( WWW:LINK )
- OnLine resource
- EUSeaMap 2023, A European broad-scale seabed habitat map ( WWW:LINK )
- OnLine resource
- Bio-ORACLE v3.0. Pushing marine data layers to the CMIP6 Earth System Models of climate change research ( WWW:LINK )
- OnLine resource
- Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). ( WWW:LINK )
- OnLine resource
-
env_predict_current_speed_mean
(
OGC:WMS
)
Current speed mean
- OnLine resource
-
env_predict_depth
(
OGC:WMS
)
Depth
- OnLine resource
-
env_predict_ph_mean
(
OGC:WMS
)
pH mean
- OnLine resource
-
env_predict_salinity_mean
(
OGC:WMS
)
Salinity mean
- OnLine resource
-
env_predict_si_mean
(
OGC:WMS
)
si mean
- OnLine resource
-
env_predict_substrate
(
OGC:WMS
)
Substrate
- OnLine resource
-
env_predict_temp_mean
(
OGC:WMS
)
Temperature mean
- Protocol
- FILE
- Name
- current_speed_mean
- Description
- Average bottom current speed above 1000m (tif)
- Function
- Download
- Protocol
- FILE
- Name
- depth
- Description
- Depth above 1000m (tif)
- Function
- Download
- Protocol
- FILE
- Name
- ph_mean
- Description
- Average bottom pH above 1000m (tif)
- Function
- Download
- Protocol
- FILE
- Name
- salinity_mean
- Description
- Average bottom salinity above 1000m (tif)
- Function
- Download
- Protocol
- FILE
- Name
- si_mean
- Description
- Average bottom silicate concentration above 1000m (tif)
- Function
- Download
- Protocol
- FILE
- Name
- substrate
- Description
- Substrate average grain size above 1000m (tif)
- Function
- Download
- Protocol
- FILE
- Name
- temp_mean
- Description
- Average bottom sea water temperature above 1000m (tif)
- Function
- Download
- OnLine resource
- Digital Object Identifier (DOI) ( DOI )
- Hierarchy level
- Dataset
Domain consistency
Conformance result
- Date (Publication)
- 2010-12-08
- Explanation
- See the referenced specification
- Pass
- No
- Statement
- This layer is linked to the following study: "Characterizing Soft-bottom Megabenthic Communities of the Mediterranean Continental Shelf: A Biogeographic Approach", 2025, Jade Millot, Sandrine Vaz, Tarek Hattab, Christopher J. Smith, Carlos Dominguez-Carrió, Beatriz Guijarro, Grégoire Certain, Vasilis Gerovasileiou, Vincent Georges, Caterina Stamouli, Michele Casini, Chiara Manfredi, Emanuela Fanelli, Germana Garofalo, Marie-Claire Fabri, Daniela Massi, Angélique Jadaud, Adriana Profeta, Pierluigi Carbonara, Evgenia Lefkaditou, Slavica Petović, Athanasios Evangelopoulos, Nikolaos Kamidis, Ioannis Thasitis, Jurgen Mifsud, Kelly Camilleri, Valentina Lauria. This study is submitted but not yet published.
- Description
-
A bathymetric raster layer (depth, m) was extracted from the EMODnet portal (https://emodnet.ec.europa.eu/en) at a resolution of 0.001° (i.e., approximately 0.1 km).
The layer was re-scaled at a resolution of 0.04° to better match the resolution of biological data from MEDITS survey.
Pixels corresponding to depths greater than 1000m were masked.
- Rationale
- Extracted a bathymetric layer to generate Random Forest predictions of megabenthic bioregions.
- Description
-
Environmental raster layers were extracted from the platform Bio-ORACLE (Assis et al., 2024), which uses monthly data of sea bottom variables from 2010 to 2020 to generate climatologies at a resolution of 0.05° (i.e., approximately 5 km).
After a correlation analysis and selection, average layers from the seafloor were selected for : seawater temperature (°C), salinity (PSU), current speed (m.s-1), pH, silicate (mmol.m-3).
Layers were rescaled to a resolution of 0.04° to better match the resolution of biological data from MEDITS survey.
Pixels corresponding to depths greater than 1000m were masked.
- Rationale
- Extracted environmental variables to generate Random Forest predictions of megabenthic bioregions.
- Description
-
The European broad-scale seabed habitat map (EUSeaMap) (Vasquez et al., 2023) downloaded from EMODnet was used to compute the average grain size of the sediment (mm) using Folk’s sediments fractions (Folk, 1954) and applying equations from (Renard et al., 1997).
The layer was rescaled to a resolution of 0.04° to better match the resolution of biological data from MEDITS survey.
Pixels corresponding to depths greater than 1000m were masked.
The raster layer and more detailed information on its construction were available on the publication : "Modelled seabed sediment average grain size in the European North-East Atlantic and Mediterranean waters", Millot and Vaz, 2024.
- Rationale
- Build a substrate layer to generate Random Forest predictions of megabenthic bioregions.
- File identifier
- 0e50beb8-555d-43df-aac6-e23a7f7ffdb0 XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2025-05-16T15:01:03.837182Z
- Metadata standard name
- ISO 19115-3 - SEXTANT
- Metadata standard version
- 1.0
Overviews
Spatial extent
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