Date ( Publication )

2015-01-01T00:00:00

Identifier

IFR_MOLENE_BIOMASSE_MINMEDMAX_PRESENCE_ABSENCE

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

GEMET - INSPIRE themes, version 1.0 ( Theme )

• Habitats and biotopes

Thèmes Sextant ( Theme )

• /Biological Environment/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

Metadata 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

true

Distribution format

• ()

OnLine resource

IFR_MOLENE_BIOMASSE_MINMEDMAX_LD  

Biomass - Laminaria digitata

Protocol

FILE

Name

IFR_MOLENE_BIOMASSE_MINMEDMAX_LD

Description

Biomass - Laminaria digitata

OnLine resource

IFR_MOLENE_BIOMASSE_MINMEDMAX_LH  

Biomass - Laminaria hyperborea

Protocol

FILE

Name

IFR_MOLENE_BIOMASSE_MINMEDMAX_LH

Description

Biomass - Laminaria hyperborea

OnLine resource

IFR_MOLENE_PRESENCE_ABSENCE_LD  

Presence/Absence - Laminaria digitata

Protocol

FILE

Name

IFR_MOLENE_PRESENCE_ABSENCE_LD

Description

Presence/Absence - Laminaria digitata

OnLine resource

IFR_MOLENE_PRESENCE_ABSENCE_LH  

Presence/Absence - Laminaria hyperborea

Protocol

FILE

Name

IFR_MOLENE_PRESENCE_ABSENCE_LH

Description

Presence/Absence - Laminaria hyperborea

OnLine resource

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

2019-02-06T15:37:23

Metadata standard name

ISO 19115:2003/19139 - SEXTANT

Metadata standard version

1.0