Catalogue PIGMA
Catalogue PIGMA (PIGMA)
Continents, countries, sea regions of the world.
Zostera marina habitat suitability along French Coast in Bay of Biscay and Channel Sea DOI:10.12770/f39a2450-6b86-4093-9e32-4023957cbcb4
Zostera marina habitat suitability along French Coast in Bay of Biscay and Channel Sea
Ten Random Forest models were fitted in order to characterise the environmental niche and to predict the potential spatial distribution of Zostera marina along the French western seaboard. 3 rasters are provided: 1) Habitat suitability index (values ranging from 0 to 1 when conditions are estimated to be optimal), 2) standard deviation around the mean habitat suitability index, and 3) binary suitability estimates (0= not suitable, 1=suitable). These model estimates indicate areas where the species may occur and are overall consistent with field observations but note that these maps are model-based and do not correspond to actual field observations.
Bathymetry, KdPar, sea surface temperature, fetch, current velocity and other variables were used as predictors. Random forest models were fitted and evaluated using N=393 Zostera marina presence-only data. 10 sets of N pseudo-absences were randomly drawn to consolidate 10 alternative presence/pseudo-absence datasets. 79 occurrences (20% of N) and 79 pseudo-absence were set aside for independent model validation. To capture results sensitivity to pseudo-absences, 10 Random Forest models were fitted on each dataset. Coastwide extensive rasters of the predictors were used to predict habitat suitability along the French Atlantic and English Channel coastline using each model. An Ensemble modelling approach was used to produce a single mean habitat suitability estimate using a weighted mean across individual model predictions based on goodness-of-fit as assessed by the Area Under the receiver-operating Curve (AUC). Standard deviation around the mean habitat suitability index corresponds to the standard deviation across the 10 model estimates. Habitat suitability estimates were classified into binary 0/1 predictions according to model-specific threshold using the validation dataset and the specificity=sensitivity optimisation criteria. The dominant mode across the ten model binary estimates is presented in the binary habitat suitability index raster. In a final step, as Zostera marina cannot settle on hard bottoms, rock polygons from EMODnet Geology’s seabed substrate product were used to post-process the raster products as follows: in cells where rock is present, the two habitat suitability indices were set to 0, and the standard deviation set to NA. Presence records: Zostera marina occurrence datasets were collated across a range of local studies completed by different organisations (e.g. Ifremer, French Office of Biodiversity, Marine Nature Parks, universities) in the context of different ecological monitoring initiatives (Natura 2000 network, OSPAR, CARTHAM project, REBENT network etc.). All observations (surface and point) regardless of the sampling technique (e.g. aerial photos, diving etc.) were considered over the recent period, i.e. 2000 to 2016 (older records were discarded). Environmental variables: eight covariates were used to fit the Random Forest models as described below. -depth: EMODnet Bathymetry 100m DTM -KdPAR (diffuse attenuation coefficient of downwelling photosynthetically available radiation, proxy of water transparency): EMODnet Seabed Habitat data product, spatial resolution 250m, averaged values (temporal coverage 5 years -2005-2009, temporal resolution 1 day) -PAR (photosynthetically active radiation): EMODnet Seabed Habitat data product, spatial resolution 4000m, averaged values (temporal coverage 5 years -2005-2009, temporal resolution 1 day) -Fetch: Burrows Wave fetch GIS layers for Europe, spatial resolution 100m (https://doi.org/10.6084/m9.figshare.8668127) -Chlorophyll-a, phosphate, nitrate, dissolved oxygen: Ifremer MARC archive, spatial resolution 4000m, averaged values (temporal coverage 7 years -2012-2018, temporal resolution 1 day) -air temperature: Arome – Météo France archive, spatial resolution 1000m, averaged values (temporal coverage 7 years -2012-2018, temporal resolution 1 hour) -Tidal current velocity, water temperature, salinity: Ifremer MARC archive, spatial resolution 500m, averaged values (temporal coverage 6 years, 2010-2015, temporal resolution 1 hour) -Wave energy: Ifremer Homère archive, spatial resolution 300m, Percentile 90th values (temporal coverage 6 years, 2010-2015, temporal resolution 1 hour)
Horizontal velocity of the water column (currents) | Eastward current velocity in the water body | Copernicus Marine Environment Monitoring Service | Atlantic-Iberian Biscay Irish- Ocean Physics Analysis and Forecast
Fishing by-catch | Weight and number of fish and by-catch by species and year discarded | Joint Research Center (JRC) | STECF's DCF landings and discards by species
Distribution of Horse Mackerel larvae from CPR samples for period 2 (years 1964 to 1970) - Point data
Fish larvae were collected by the continuous plankton recorder (CPR, operated by SAHFOS) all year long between 1951 and 2005 along transects in the Celtic Sea and English Channel. The CPR is towed by ships of opportunity at speeds of 15 to 20 knots, at an approximate depth of 10 m. Water enters the recorder through an aperture of 1.27 cm2, and is filtered through a continuously moving band of silk with an average mesh size of 270 μm.
Has to be cited this way in maps : "Source CHARM Consortium"
Has to be cited this way in bibliography : "Carpentier A, Martin CS, Vaz S (Eds.), 2009. Channel Habitat Atlas for marine Resource Management, final report / Atlas des habitats des ressources marines de la Manche orientale, rapport final (CHARM phase II). INTERREG 3a Programme, IFREMER, Boulogne-sur-mer, France. 626 pp. & CD-rom"
In all, over 50 taxonomic groups of ichthyoplankton were identified, but we focused on the 6 most abundant groups of fish larvae, clupeids (Clupeidae), Atlantic mackerel (Scomber scombrus), rocklings, horse mackerel (Trachurus trachurus), whiting (Merlangius merlangus), and gadoids (Gadidae). These were the only taxonomic groups for which we had enough positive samplings points in order to produces maps of distribution. The data are aggregated by 7 years periods (1: 1957 to 1963, 2: 1964 to 1970, 3: 1971 to 1977, 4: 1978 to 1984, 5: 1985 to 1991, 6: 1992 to 1998 and 7: 1999 to 2005) and by trimesters. The number of points by year/trimester periods is calculated. For each year/trimester period, the number of non-zero observation for each species/species group is also calculated. If this number is less than 10, the species/group species and period is plotted as a bubble plot. If it is more than 10, the sampling will be interpolated by kriging to have a presence map in the whole area
North Sea - DIVAnd 4D 6-year seasonal analysis of Water body chlorophyll-a 1980/2023 v2025
Moving 6-year analysis and visualization of Water body chlorophyll-a in the North Sea. Four seasons (December-February, March-May, June-August, September-November). Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis) tool, version 2.7.12. results were subjected to the minfield option in DIVAnd to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. The depth dimension allows visualizing the gridded field at various depths.
Chlorophyll pigment concentrations in water bodies
Usage is subject to mandatory citation: "This resource was generated by EMODnet Chemistry under the support of DG MARE Call for Tender EASME/2019/OP/0003-lot4."
The data used as input for this product have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
Wave direction | Direction of waves on the water body | Cyprus Oceanography Center | CYCOFOS WAM4 wave model Mediterranean
Hazards to navigation | Submarine Cables | Northeast Ocean Data : Map and Data for ocean planning in the Northeastern United States | Submarine Cables
TRUSTED drifting buoys data, a Copernicus project
The European Union’s Copernicus-funded TRUSTED project (Towards Fiducial Reference Measurements of Sea-Surface Temperature by European Drifters) has deployed over 100 state of the art drifting buoys for improved validation of Sea Surface Temperature (SST) from the Sentinel-3 Sea and Land Surface Temperature Radiometers (SLSTR). These buoys are manufactured by NKE. The TRUSTED drifting buoys data and metadata are distributed in qualtity control NetCDF files, as a subset of DBCP drifting buoys GDAC (Global Data Assembly Centre). Coriolis DAC (Data Assembly Centre) routinely collects, decodes, quality controls, preserves and distributes data and metadata as NetCDF-CF files. The TRUSTED buoys have specific features managed by Coriolis DAC python data processing chain: a high resolution temperature sensor in addition to the classic drifting buoy temperature sensor. The high sampling and high resolution observations are distributed in specific variables TEMP_HR, TEMP_HR_SPOT, TEMP_HR_XX (XX is the percentile sample).
Administrative units | Seabirds | European Environment Agency | SPAs / Birds Directive
MEDSEA_CH7_Product_8 / Monthly time series of Total Phosphorous from model data [mg/l]
Monthly time series of Total Phosphorous [mg/l] from model data
Marine Strategy Framework Directive (MSFD)
Search via reference catalogue (e.g. MyOcean, GEOSS Geoportal…)
There is detailed information provided to understand data policy
Format not proprietary and content clearly specified (e.g. autodescriptive like ODV, NetCDF CF) or at least with appropriate document describing the content
Horizontal velocity of the water column (currents)
Online discovery + downloading + viewing services (Advanced services)
Eastward current velocity in the water body
The datasets are provided through an EU Inspire catalogue service (OGC)
Information retrieved upon specific request to the data source
Area management/restriction/regulation zones and reporting units
Online discovery and downloading services
Weight and number of fish and by-catch by species and year discarded
Data sets are not referenced in a catalogue or are referenced in a non public catalogue
Use of open search engines, searching by name either the data provider or the characteristics
There is information, but details are available only on request
Atlantic - CH02 - Marine Protected Areas
The datasets are referenced in a public national catalogue, in an international catalogue service
MSc thesis: Mouillard Romain (2020). Modélisation statistique de la distribution spatiale des espèces Zostera marina et Zostera noltei à l'échelle de la façade Manche-Atlantique. Mémoire de fin d’études d’Ingénieur Agronome, spécialité « Sciences halieutiques et aquacoles » préparée à Agrocampus Ouest. Option « Ressources et Ecosystèmes Aquatiques ».
By sea regions/North Sea///mnt/c/Projects/EMODNET2025/deliverfiles/fordivadoxml/Water_body_chlorophyll-a.4Danl.nc*Water body chlorophyll-a_L1
Drifting buoys data quality control manual
Drifting buoys NetCDF data and metadata format
CLS (editor M.Sutton/E.Rouzies with help L.Soudarin)
Copernicus Marine Environment Monitoring Service
The Data Collection Framework Regulation
Diverse EU administrative and research entities in member states
Aarhus University, Department of Bioscience, Marine Ecology Roskilde
Bohuskusten Coalition of Water Conservation
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory
County Administrative Board of Vastra Gotaland
DTU Aqua, National Institute of Aquatic Resources, Technical University of Denmark
Department of Agriculture, Environment and Rural Affairs
Environment Agency Solent and South Downs Area Office
Environment Agency South East Regional Office
Federal Maritime and Hydrographic Agency
IEO-CSIC, Spanish Oceanographic Institute
IFREMER, Fisheries English Channel North sea (Boulogne-sur-mer)
IHE, Management Unit of North Sea and Scheldt Estuary Mathematical Models (Ostend)
Ifremer Station de la Rochelle-l'Houmeau
Ifremer, DYNECO, PELAGOS - Laboratoire d'Ecologie Pelagique
Ifremer, DYNECO- Coastal Environment Dynamics department
Ifremer, Ecology and Models for the Fishing Industry
Ifremer, Fisheries Science and Technology (Plouzane)
Ifremer, Fisheries Sciences and Technology (Lorient)
Ifremer, Information Valuation Service for Integrated Management and Monitoring
Laboratory of Oceanography of Villefranche
Marine Information and Advisory Service, Data Banking Section
National Oceanography Centre (Liverpool)
National Oceanography Centre (Southampton)
Netherlands Institute for Ecology, Centre for Estuarine and Marine Ecology
Newcastle University Department of Marine Science and Coastal Management
Queen's University Belfast, School of Biological Sciences
Rijkswaterstaat Water, Traffic and Environment
Royal Belgian Institute of Natural Sciences, Management Unit of North Sea and Scheldt Estuary Mathematical Models
Royal Belgian Institute of Natural Sciences, Management Unit of North Sea and Scheldt Estuary Mathematical Models, Belgian Marine Data Centre
Royal Belgian Institute of Natural Sciences, Operational Directorate Natural Environment
Royal Belgian Institute of Natural Sciences, Operational Directorate Natural Environment (Ostend)
Scottish Environment Protection Agency, East Kilbride Office
Scottish Environment Protection Agency, Edinburgh Office
Scottish Office Agriculture Environment and Fisheries Department, Aberdeen Marine Laboratory
Scottish Office Agriculture and Fisheries Department, Aberdeen Marine Laboratory
State Agency for Nature and Environment of Schleswig Holstein
State Office for Agriculture, Environment and Rural Areas of Schleswig Holstein
Swedish Meteorological and Hydrological Institute
The Swedish Agency for Marine and Water Management
University of East Anglia, School of Environmental Sciences
University of Gothenburg, Faculty of Science
University of Plymouth, Institute of Marine Studies
University of Southampton Department of Oceanography
University of Southampton School of Ocean and Earth Science
University of Wales, School of Ocean Sciences
Université Libre de Bruxelles, Ecology of Aquatic systems
Istituto Nazionale di Geofisica e Vulcanologia – INGV, Sede di Bologna
Mediterranean decision support system for marine safety
Northeast Ocean Data : Map and Data for ocean planning in the Northeastern United States
European Environment Agency -Natura 2000