Date ( Publication )

2012-01-01T00:00:00

Identifier

IFR_MORLAIX_KELP_PRESENCE_ABSENCE

Identifier

DOI:10.12770/12b209ad-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.

GEMET - INSPIRE themes, version 1.0 GEMET - INSPIRE themes, version 1.0 ( Theme )

• Habitats and biotopes

Thèmes Sextant Thèmes Sextant ( Theme )

• /Biological Environment/Habitats

Ocean Hackathon - Ville Ocean Hackathon - Ville ( Place )

• Brest

Cadre Réglementaire - SIMM Cadre Réglementaire - SIMM ( Theme )

Sous-regions marines Sous-regions marines ( Place )

• /Metropolitan France/Celtic Seas

Thématiques - SIMM Thématiques - SIMM ( Theme )

• /Environmental Status/Habitats

Type de jeux de donnée ODATIS Type de jeux de donnée ODATIS ( Theme )

• /Processed data/Model outputs

Specific usage

Use limitation

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

unrestricted

Spatial representation type

Grid

Distance

25  meter

Metadata language

English

Character set

UTF8

Topic category

• Environment

Reference system identifier

EPSG

/

RGF_1993_Lambert_93 (EPSG:102110)

/

Number of dimensions

2

Dimension name

Column

Dimension size

5462

Dimension name

Row

Dimension size

5674

Cell geometry

Area

Distribution format

• ()

OnLine resource

IFR_MORLAIX_KELP_PRESENCE_ABSENCE  

Kelp forest distribution : Probability of presence

Protocol

COPYFILE

Name

IFR_MORLAIX_KELP_PRESENCE_ABSENCE

Description

Kelp forest distribution : Probability of presence

OnLine resource

IFR_MORLAIX_KELP_PRESENCE_ABSENCE_STD  

Kelp forest distribution : Probability of presence - Standard Deviation

Protocol

COPYFILE

Name

IFR_MORLAIX_KELP_PRESENCE_ABSENCE_STD

Description

Kelp forest distribution : Probability of presence - Standard Deviation

OnLine resource

DOI du jeu de donnée  

DOI du jeu de donnée

Hierarchy level

Dataset

Statement

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)

Metadata

File identifier

12b209ad-b6ac-474a-9f05-ad0d8cb9c6ad   XML

Metadata language

English

Character set

UTF8

Hierarchy level

Dataset

Date stamp

2021-11-05T16:19:25

Metadata standard name

ISO 19115:2003/19139 - SEXTANT

Metadata standard version

1.0