EMODnet product catalogue
Kelp forest distribution within the Bay of Morlaix, France
A habitat distribution modelling approach was used to model the spatial distribution of kelp forests within the Bay of Morlaix (France). Lineage: Data represents presence-absence prediction of kelp forest. Biological ground truth data were integrated with high resolution environmental datasets to develop statistical model that accurately predict the structure of Laminaria forests within the Bay of Morlaix. As a direct management output, high-resolution map (25 m2 grid) was produced. Type of occurrence data used: Forest occurrence (presence or absence),representative across the full range of environmental gradients, was sampled through a combination of underwater video surveys and direct diver observations. Environmental covariates/explanatory variables: The probability of kelp forest occurrence and its standard deviation was predicted using an additive multiple regression of water depth, light availability, significant wave height and sediment proximity. Algorithm/modelling approach: Kelp biological response (presence/absence) was estimated using Generalized Additive Models (GAM)
Simple
- Alternate title
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FR300003
- Date (Publication)
- 2012-01-01
- Citation identifier
- DOI:10.12770/12b209ad-b6ac-474a-9f05-ad0d8cb9c6ad
- Citation identifier
- IFR_MORLAIX_KELP_PRESENCE_ABSENCE
- Citation identifier
- 12b209ad-b6ac-474a-9f05-ad0d8cb9c6ad
- Presentation form
- Digital map
- Credit
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Gorman D., Bajjouk T., Populus J., Vasquez M., Ehrhold A. (2013). Modeling kelp forest distribution and biomass along temperate rocky coastlines. Marine Biology, 160(2), 309-325.
- Point of contact
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Organisation name Individual name Electronic mail address Role IFREMER
DYNECO
Publisher CSIRO
Gorman D.
Author
- Theme
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Marine habitat mapping
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GEMET - INSPIRE themes, version 1.0
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Uncategorized
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/Biological Environment/Habitats
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GEMET - INSPIRE themes, version 1.0
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Habitats and biotopes
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- Keywords
-
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Downloadable Data
-
- Use limitation
-
Creative Commons license to apply : Attribution + Non Commercial + No Derivs (BY-NC-ND) : http://creativecommons.org/licenses/?lang=en
- Use limitation
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Viewable, not downloadable
- Access constraints
- License
- Use constraints
- License
- Other constraints
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unrestricted
- Spatial representation type
- Grid
- Distance
- 25 meter
- Language
- English
- Character set
- UTF8
- Topic category
-
- Environment
- Environment description
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Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.1.7333
))
- Reference system identifier
- EPSG / RGF_1993_Lambert_93 (EPSG:102110) / 6.14(3.0.1)
- Number of dimensions
- 2
- Dimension name
- Column
- Dimension size
- 5462
- Dimension name
- Row
- Dimension size
- 5674
- Cell geometry
- Area
- Transformation parameter availability
- No
- Number of dimensions
- 2
- Dimension name
- Column
- Dimension size
- 6735
- Resolution
- 0.00006 deg
- Dimension name
- Row
- Dimension size
- 4602
- Resolution
- 0.00006 deg
- Cell geometry
- Area
- Transformation parameter availability
- Yes
- Checkpoint Availability
- No
Center point
- Point in Pixel
-
- Center
- Distribution format
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Name Version Raster Dataset
- OnLine resource
-
Protocol Linkage Name WWW:LINK-1.0-http--metadata-URL
http://dx.doi.org/10.12770/12b209ad-b6ac-474a-9f05-ad0d8cb9c6ad DOI du jeu de donn├®e
OGC:WMS
http://www.ifremer.fr/services/wms/biologie IFR_MORLAIX_KELP_PRESENCE_ABSENCE
- OnLine resource
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Protocol Linkage Name OGC:WMS
http://www.ifremer.fr/services/wms/biologie IFR_MORLAIX_KELP_PRESENCE_ABSENCE_STD
- Hierarchy level
- Dataset
Conformance result
- Title
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R├êGLEMENT (UE) N o 1089/2010 DE LA COMMISSION du 23 novembre 2010 portant modalit├®s d'application de la directive 2007/2/CE du Parlement europ├®en et du Conseil en ce qui concerne l'interop├®rabilit├® des s├®ries et des services de donn├®es g├®ographiques
- Date (Publication)
- 2010-12-08
- Explanation
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See the referenced specification
- Pass
- No
- Statement
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Data represents presence-absence prediction of kelp forest. Biological ground truth data were integrated with high resolution environmental datasets to develop statistical model that accurately predict the structure of Laminaria forests within the Bay of Morlaix. As a direct management output, high-resolution map (25 m2 grid) was produced.
- Content type
- Image
- Descriptor
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Band_1
- Maximum value
- 1
- Minimum value
- 0.48989
- Bits per value
- 32
Metadata
- File identifier
- 12b209ad-b6ac-474a-9f05-ad0d8cb9c6ad XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Hierarchy level name
-
dataset
- Date stamp
- 2021-10-29T09:44:27Z
- Metadata standard name
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INSPIRE Metadata Implementing Rules: Technical Guidelines based on EN ISO 19115 and EN ISO 19119
- Metadata standard version
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V. 1.2
- Metadata author
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Organisation name Individual name Electronic mail address Role Ifremer
Daniel Gorman
Point of contact
)))
