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)
Publication:
Date identifies when the resource was issued
Unique resource identifier
DOI:10.12770/12b209ad-b6ac-474a-9f05-ad0d8cb9c6ad
Unique resource identifier
IFR_MORLAIX_KELP_PRESENCE_ABSENCE
Unique resource identifier
12b209ad-b6ac-474a-9f05-ad0d8cb9c6ad
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.
Grid:
Grid data is used to represent geographic data
Spatial resolution
Distance
25 meter
Language
English
Character set
UTF8:
8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
Topic category code
Environment description
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.1.7333
Reference System Information
Unique resource identifier
RGF_1993_Lambert_93 (EPSG:102110)
Codespace
EPSG
Hierarchy level
Dataset:
Information applies to the dataset
Lineage
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.
Domain consistency
Conformance result
Specification
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
2010-12-08
Date type
Publication:
Date identifies when the resource was issued
Explanation
See the referenced specification
Pass
No
mdLegalAndSecurityConstraintsSection
Resource constraints
Legal constraints
Use limitation
Creative Commons license to apply : Attribution + Non Commercial + No Derivs (BY-NC-ND) : http://creativecommons.org/licenses/?lang=en