Kelp distribution model across Brittany (France)

DOI

Data represents percentage cover of kelp forest. The Habitat model was generated from kelp forest presence/absence determined from acoustic surveys of laminarial algae. KdPar, sea surface temperature, depth and current speed were used as predictive variables. Habitat model represents only the areas where kelp forests may occur, not the areas confirmed in field observations.

Identifier
DOI https://doi.org/10.12770/9617fdd6-e960-4e17-8d23-8f75911d774c
Source https://sextant.ifremer.fr/eng/Data/Catalogue#/metadata/9617fdd6-e960-4e17-8d23-8f75911d774c
Related Identifier https://sextant.ifremer.fr/services/wms/biologie
Metadata Access https://sextant.ifremer.fr/geonetwork/GEOCATALOGUE/fre/csw?service=CSW&version=2.0.2&request=GetRecordById&Id=9617fdd6-e960-4e17-8d23-8f75911d774c&outputSchema=http://www.isotc211.org/2005/gmd
Provenance
Creator Vona Meleder; DYNECO
Publisher IFREMER
Contributor Meleder Tard Vona, Populus Jacques, Guillaumont Brigitte, Perrot Thierry, Mouquet Pascal (2010). Predictive modelling of seabed habitats: case study of subtidal kelp forests on the coast of Brittany, France. Marine Biology, 157(7), 1525-1541. Publisher's official version : https://doi.org/10.1007/s00227-010-1426-4 , Open Access version : https://archimer.ifremer.fr/doc/00006/11758/
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 (-5.660W, 47.218S, -0.240E, 50.140N)