Kelp distribution model across Brittany (France)
Data represents percentage cover of kelp forest. The Habitat model was generated from kelp forest presence/absence determined from acoustic surveys of laminarial algae. KdPar, sea surface temperature, depth and current speed were used as predictive variables. Habitat model represents only the areas where kelp forests may occur, not the areas confirmed in field observations.
Simple
- Date (Publication)
- 2010-04-11T00:00:00
- Citation identifier
- IFR_MORLAIX_KELP_PRESENCE_ABSENCE
- Citation identifier
- DOI:10.12770/9617fdd6-e960-4e17-8d23-8f75911d774c
- Credit
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Meleder Tard Vona, Populus Jacques, Guillaumont Brigitte, Perrot Thierry, Mouquet Pascal (2010). Predictive modelling of seabed habitats: case study of subtidal kelp forests on the coast of Brittany, France. Marine Biology, 157(7), 1525-1541. Publisher's official version : https://doi.org/10.1007/s00227-010-1426-4 , Open Access version : https://archimer.ifremer.fr/doc/00006/11758/
- Point of contact
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Organisation name Individual name Electronic mail address Role University of Nantes
Vona Meleder
Author IFREMER
DYNECO
Publisher
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GEMET - INSPIRE themes, version 1.0
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Habitats and biotopes
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Thèmes Sextant
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/Biological Environment/Habitats
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Sous-regions marines
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/Metropolitan France/Bay of Biscay
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/Metropolitan France/Celtic Seas
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/Metropolitan France/Channel-North Sea
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Thématiques - SIMM
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/Environmental Status/Habitats
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Ocean Hackathon - City and challenge
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/Cape Town/CAP03
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/Brest
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- User contact info
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Organisation name Individual name Electronic mail address Role
- Use limitation
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Creative Commons license to apply : Attribution + Non Commercial + No Derivs (BY-NC-ND) : http://creativecommons.org/licenses/?lang=en
- Access constraints
- Other restrictions
- Use constraints
- Copyright
- Other constraints
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Limited usability. The product thematic accuracy is low.
- Spatial representation type
- Grid
- Distance
- 150 meter
- Language
- English
- Character set
- UTF8
- Topic category
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- Environment
- Reference system identifier
- EPSG / WGS 84 / UTM zone 30N (EPSG:32630) / 8.6
- Number of dimensions
- 2
- Dimension name
- Column
- Dimension size
- 5462
- Dimension name
- Row
- Dimension size
- 5674
- Cell geometry
- Area
- Transformation parameter availability
- Yes
- Distribution format
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Name Version
- OnLine resource
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Protocol Linkage Name OGC:WMS
https://sextant.ifremer.fr/services/wms/biologie KELP_DISTRIBUTION_MODEL_BRITTANY
COPYFILE
KELP_DISTRIBUTION_MODEL_BRITTANY
- OnLine resource
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Protocol Linkage Name WWW:LINK-1.0-http--metadata-URL
http://dx.doi.org/10.12770/9617fdd6-e960-4e17-8d23-8f75911d774c DOI du jeu de donnée
- Hierarchy level
- Dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Explanation
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See the referenced specification
- Statement
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A habitat distribution modelling approach was used to model the spatial distribution of kelp forests along Britanny’s coast (France).
Lineage:
Data represents percentage cover of kelp forest. The Habitat model was generated from kelp forest presence/absence determined from acoustic surveys of laminarial algae. KdPar, sea surface temperature, depth and current speed were used as predictive variables. Habitat model represents only the areas where kelp forests may occur, not the areas confirmed in field observations.
Type of occurrence data used:
Acoustic surveys of kelp forest were carried out in spring 2005-2006-2007 in 10 study areas along the coast of Brittany. A specific algorithm was developed for automatic detection of presence/absence of kelp forest from the acoustic data.
Environmental covariates/explanatory variables:
Covariates used were:
- KPAR (proxy of light availability): spatial resolution 1km, averaged values (temporal coverage 7 years -1998-2004-, temporal resolution 1 week)
- Sea surface temperature: spatial resolution 1km, averaged values (temporal coverage 20 years, temporal resolution 1 week)
- Tidal current velocity: spatial resolution 300m, maximum values (temporal coverage one mean spring tide)
Algorithm/modelling approach:
A stepwise multiple regression with a backward selection of variables was used to predict values of kelp frequency (%)
Metadata
- File identifier
- 9617fdd6-e960-4e17-8d23-8f75911d774c XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2024-01-24T15:12:22.008Z
- 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
Vasquez Mickael
Point of contact