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Contacts

IFREMER
Other
Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané Brest - France
IFREMER
Publisher

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.

Kelp forest distribution within the Bay of Morlaix (France)

Type: datasetLicense: not specifiedCategory: environmentResolution: 25 metersLast update: unknown
Habitats and biotopes

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.

Data origin:

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.

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Purpose: not specified

Data life cycle, according to producer:
Creation date: unknown
Update frequency: unknown

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DOI du jeu de donnée

DOI du jeu de donnée

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