Date (Publication)

2015-01-01T00:00:00

Citation identifier

IFR_MOLENE_BIOMASSE_MINMEDMAX_PRESENCE_ABSENCE

Citation identifier

DOI:10.12770/4adbe32a-8c81-4c18-8da3-4c361889820c

Credit

Bajjouk T., Rochette S., Laurans M. Ehrhold A., Hamdi A. and Le Niliot Ph. (2015). Multi-approach mapping to help spatial planning and management of the kelp species L. digitata and L. hyperborea: Case study of the Molène Archipelago, Brittany. Journal of Sea Research. 100:2-21

Point of contact

Organisation name	Individual name	Electronic mail address	Role
IFREMER	Bajjouk Touria	Touria.Bajjouk@ifremer.fr	Author
IFREMER	DYNECO	sismer@ifremer.fr	Publisher

GEMET - INSPIRE themes, version 1.0

• Habitats and biotopes

Thèmes Sextant

• /Biological Environment/Habitats

Ocean Hackathon - City and challenge

• /Brest

• /Cape Town/CAP03

Sous-regions marines

• /Metropolitan France/Celtic Seas

Thématiques - SIMM

• /Environmental Status/Habitats

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

5  meter

Language

English

Character set

UTF8

Topic category

• Environment

Reference system identifier

EPSG / WGS 84 (EPSG:4326) / 8.6

Number of dimensions

2

Dimension name

Column

Dimension size

5011

Dimension name

Row

Dimension size

3044

Cell geometry

Area

Transformation parameter availability

Yes

Distribution format

Name	Version

OnLine resource

Protocol	Linkage	Name
OGC:WMS	https://sextant.ifremer.fr/services/wms/biologie	IFR_MOLENE_BIOMASSE_MINMEDMAX_LD
COPYFILE		IFR_MOLENE_BIOMASSE_MINMEDMAX_LD

OnLine resource

Protocol	Linkage	Name
OGC:WMS	https://sextant.ifremer.fr/services/wms/biologie	IFR_MOLENE_BIOMASSE_MINMEDMAX_LH
COPYFILE		IFR_MOLENE_BIOMASSE_MINMEDMAX_LH

OnLine resource

Protocol	Linkage	Name
OGC:WMS	https://sextant.ifremer.fr/services/wms/biologie	IFR_MOLENE_PRESENCE_ABSENCE_LD
COPYFILE		IFR_MOLENE_PRESENCE_ABSENCE_LD

OnLine resource

Protocol	Linkage	Name
OGC:WMS	https://sextant.ifremer.fr/services/wms/biologie	IFR_MOLENE_PRESENCE_ABSENCE_LH
COPYFILE		IFR_MOLENE_PRESENCE_ABSENCE_LH

OnLine resource

Protocol	Linkage	Name
WWW:LINK-1.0-http--metadata-URL	http://dx.doi.org/10.12770/4adbe32a-8c81-4c18-8da3-4c361889820c	DOI du jeu de donnée

Hierarchy level

Dataset

Statement

A habitat distribution modelling approach was used to model the spatial distribution of the two main species of kelp forests along Molène archipelagos (France).

Lineage:

Data represents percentage cover of kelp forest as well as biomass of the 2 main species: L. digitata and L. hyperoborea.

The used approach consists in firstly establishing surveys and appropriate processing methods in order to provide a detailed underwater topography of the area and to accurately delineate hard substrates (bedrock) potentially colonized by kelp. Secondly, a habitat suitability model is fitted for each species on some carefully selected field stations, measuring kelp presence/absence and biomass. Predictive maps are produced, based on hard substrate areas previously delineated.

Type of occurrence data used:

In situ data were acquired in the period from late summer to early autumn. Information on the presence/absence of Laminaria species was acquired by towing a high definition video. Species-specific biomass were sampled at low tide for the intertidal areas and by Scuba diving for the sub-tidal areas.

Environmental covariates/explanatory variables:

Presence–absence of L. digitata distribution was best determined through the combined effects of depth, sediment proximity along current direction, benthic position index (BPI), immersion rate and winter temperature.

The sub-model for biomass of L. digitata where present, was predicted using the additional contribution of several variables, with light being the most important (55.62% of deviance explained) and its interactions withwave exposure and spring temperature. Total suspended matter contributed little and only then through the interaction with light.

The best model that explained 78.89% of deviance for the presence of L. hyperborea included depth, winter temperature, sediment proximity along current direction and BPI

Biomass where L. hyperborea was present was mainly modeled by the same predictors as presence/absence

Algorithm/modelling approach:

Kelp biological response (presence/absence or biomass) was estimated using Generalized Additive Models (GAM)

Metadata

File identifier

4adbe32a-8c81-4c18-8da3-4c361889820c XML

Metadata language

English

Character set

UTF8

Hierarchy level

Dataset

Date stamp

2024-01-24T15:13:24.904Z

Metadata standard name

ISO 19115:2003/19139 - SEXTANT

Metadata standard version

1.0

Metadata author

Organisation name	Individual name	Electronic mail address	Role
IFREMER	Bajjouk Touria	Touria.Bajjouk@ifremer.fr	Point of contact