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.
Simple
- Alternate title
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FR004100
- Date (Publication)
- 2020-12-31T12:00:00
- Citation identifier
- Zostera marina habitat suitability along French Coast in Bay of Biscay and Channel Sea
- Citation identifier
- DOI:10.12770/f39a2450-6b86-4093-9e32-4023957cbcb4
- Presentation form
- Digital map
- Credit
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Ifremer - Unité Dynamiques des Écosystèmes Côtiers
- Status
- Completed
- Point of contact
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Organisation name Individual name Electronic mail address Role Ifremer
Romain Mouillard
Author Ifremer
Martin Marzloff
Author Ifremer
Mickaël Vasquez
Author Ifremer
Publisher
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GEMET - INSPIRE themes, version 1.0
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Habitats and biotopes
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- Theme
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Zostera marina
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Marha
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- Discipline
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SDM
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HSM
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Habitat suitability modeled map
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- Place
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Bay of Biscay
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Channel Sea
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Cadre Réglementaire - SIMM
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Marine Strategy Framework Directive (MSFD)
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Sous-regions marines
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/Metropolitan France/Bay of Biscay
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/Metropolitan France/Channel-North Sea
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/Metropolitan France/Celtic Seas
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Thématiques - SIMM
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/Environmental Status/Habitats
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Research
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- Access constraints
- Other restrictions
- Other constraints
- no limitations to public access
- Use limitation
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Product under creative common license CC BY-NC-SA: https://creativecommons.org/licenses/by-nc-sa/4.0/
- Use limitation
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Citation in bibliography should be as follows: Romain Mouillard, Martin Marzloff, Mickaël Vasquez (2020). Zostera marina habitat suitability along French Coast in Bay of Biscay and Channel Sea. Ifremer. https://doi.org/10.12770/f39a2450-6b86-4093-9e32-4023957cbcb4
- Spatial representation type
- Grid
- Distance
- 0.004501612 degrees
- Language
- English
- Character set
- UTF8
- Topic category
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- Oceans
- Biota
- Begin date
- 2021-01-01T12:00:00Z
- End date
- 2021-01-01T12:00:00Z
- Reference system identifier
- EPSG / 4326
- OnLine resource
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Protocol Linkage Name WWW:LINK
https://archimer.ifremer.fr/doc/00667/77870/ 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 ».
WWW:LINK-1.0-http--metadata-URL
https://doi.org/10.12770/f39a2450-6b86-4093-9e32-4023957cbcb4 DOI of the dataset
- OnLine resource
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Protocol Linkage Name OGC:WMS
https://sextant.ifremer.fr/services/wms/biologie? IFR_ZOSTERA_MARINA_HABITAT_SUITABILITY
COPYFILE
IFR_ZOSTERA_MARINA_HABITAT_SUITABILITY
- OnLine resource
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Protocol Linkage Name OGC:WMS
https://sextant.ifremer.fr/services/wms/biologie? IFR_ZOSTERA_MARINA_HABITAT_SUITABILITY_SD
COPYFILE
IFR_ZOSTERA_MARINA_HABITAT_SUITABILITY_SD
- OnLine resource
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Protocol Linkage Name OGC:WMS
https://sextant.ifremer.fr/services/wms/biologie? IFR_ZOSTERA_MARINA_BINARY_HABITAT_SUITABILITY
FILE
IFR_ZOSTERA_MARINA_BINARY_HABITAT_SUITABILITY
- Hierarchy level
- Dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Explanation
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See the referenced specification
- Pass
- Yes
Conformance result
- Date (Publication)
- 2008-12-04
- Explanation
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See the referenced specification
- Pass
- Yes
- Statement
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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)
Metadata
- File identifier
- f39a2450-6b86-4093-9e32-4023957cbcb4 XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2024-01-24T16:16:19.597Z
- Metadata standard name
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ISO 19115:2003/19139 - SEXTANT
- Metadata standard version
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1.0
- Metadata author
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Organisation name Individual name Electronic mail address Role Ifremer
Mickaël Vasquez
Point of contact
- Other language
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Language Character encoding French UTF8 English UTF8