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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

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

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
Organisation name Individual name Electronic mail address Role

IFREMER

DYNECO

d.gorman@csiro.au

Publisher

CSIRO

Gorman D.

d.gorman@csiro.au

Author
Theme
  • Marine habitat mapping

  • GEMET - INSPIRE themes, version 1.0

  • Uncategorized

  • /Biological Environment/Habitats

GEMET - INSPIRE themes, version 1.0

  • Habitats and biotopes

Keywords
  • 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

Viewable, not downloadable

Access constraints
License
Use constraints
License
Other constraints

unrestricted

Spatial representation type
Grid
Distance
25  meter
Language
English
Character set
UTF8
Topic category
  • Environment
Environment description

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.1.7333

N
S
E
W
thumbnail




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
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
Protocol Linkage Name

OGC:WMS

http://www.ifremer.fr/services/wms/biologie

IFR_MORLAIX_KELP_PRESENCE_ABSENCE_STD

Hierarchy level
Dataset

Conformance result

Title

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

See the referenced specification

Pass
No
Statement

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

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

INSPIRE Metadata Implementing Rules: Technical Guidelines based on EN ISO 19115 and EN ISO 19119

Metadata standard version

V. 1.2

Metadata author
Organisation name Individual name Electronic mail address Role

Ifremer

Daniel Gorman

d.gorman@csiro.au

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

/Biological Environment/Habitats GEMET - INSPIRE themes, version 1.0 Marine habitat mapping Uncategorized
GEMET - INSPIRE themes, version 1.0

Habitats and biotopes


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