48d826fe-6ec1-4a0c-bc6a-4c6999a88929 eng Trine Bekkby NIVA trine.bekkby@niva.no 2022-04-28T16:08:13.908Z ISO 19115:2003/19139 1.0 EPSG:3857 Laminaria hyperborea kelp forest model in Trondelag 2013-12-31T19:00:00 Laminaria hyperborea kelp forest is modelled for the Trondelag coast of Norway (Bekkby et al. 2013). The model was carried out in the projection UTM zone 33N. Kelp forest was defined as the dense kelp forest (see Bekkby et al. 2009), not the scattered occurrences. The model was developed based on 1170 data points and GAM analyses of presence and absence points (presence being kelp forest, absence being absence of kelp at all other densities). Data were collected 2007-2008 by the Norwegian Institute for Water Research (NIVA) and the Institute for Marine Research (IMR), the model was run in 2009 by NIVA. The distribution model is based on depth, slope, terrain curvature, wave exposure and median current speed, wave exposure being the far most important variable (see Bekkby et al. 2009 for explanation of the GIS environmental layers). The input depth, slope, terrain curvature and wave exposure models had a spatial (horizontal) distribution of 25 m, the current speed model was resampled from 500 m resolution. The output model has a spatial (horizontal) distribution of 25 m. Analyses showed that coverage (density of kelp defined as classes) increased with predicted probability. The work was part of the National program for mapping biodiversity ÔÇô coast, a program that is funded by the Ministry of Climate and Environment and the Ministry of Trade, Industry and Fisheries. The Norwegian Environment Agency is leading the project and NIVA is the scientific coordinator. Research Trine Bekkby NIVA trine.bekkby@niva.no thumbnail large_thumbnail Marine habitat mapping Habitats and biotopes GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme No defined limitation View only - please contact data owner for access to full data 50000 eng environment 2007-01-02T23:00:00 2008-12-31T00:00:00 3.2825 13.453467278846 62.01547 66.21846 -1000 0 Bekkby T, Rinde E, Erikstad L, Bakkestuen V. 2009. Spatial predictive distribution modelling of the kelp species Laminaria hyperborea. ICES J Mar Sci 66:2106-15 Bekkby T, Moy FE, Olsen H, Rinde E, Bodvin T, B├©e R, Steen H, Grefsrud ES, Espeland SH, Pedersen A, J├©rgensen NM. 2013. The Norwegian Program for Mapping of Marine Habitats ÔÇô Providing Knowledge and Maps for ICZMP. Page 21-30, Moksness E, Dahl E, St├©ttrup J (eds.) Global Challenges in Integrated Coastal Zone Management, Vol II. John Wiley & Sons, Oxford, UK Web Map Service 1.0.0 http://www.emodnet-seabedhabitats.eu/map WWW:LINK-1.0-http--link EMODnet Seabed Habitats Homepage http://213.122.160.75/scripts/mapserv.exe?map=D:/Websites/MESHAtlantic/map/MESHAtlanticWMS.map OGC:WMS-1.1.1-http-get-map EMODnet Seabed Habitats Web Map Service WMS for EMODnet Seabed Habiats for access of viewing on a wide variety of GI software.