Kelp forest distribution within the Bay of Morlaix (France)

DOI

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.

Identifier
DOI https://doi.org/10.12770/12b209ad-b6ac-474a-9f05-ad0d8cb9c6ad
Source https://sextant.ifremer.fr/eng/Data/Catalogue#/metadata/12b209ad-b6ac-474a-9f05-ad0d8cb9c6ad
Metadata Access https://sextant.ifremer.fr/geonetwork/GEOCATALOGUE/fre/csw?service=CSW&version=2.0.2&request=GetRecordById&Id=12b209ad-b6ac-474a-9f05-ad0d8cb9c6ad&outputSchema=http://www.isotc211.org/2005/gmd
Provenance
Creator Gorman D.; DYNECO
Publisher IFREMER
Contributor 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.
Publication Year 2025
Rights Creative Commons license to apply : Attribution + Non Commercial + No Derivs (BY-NC-ND) : http://creativecommons.org/licenses/?lang=en
OpenAccess true
Representation
Discipline Oceanography/Marine Science
Spatial Coverage (-4.092W, 48.568S, -3.689E, 48.844N)