The aim of the National Program for Mapping Biodiversity – Coast is to provide Norwegian managers and planners with maps of the distribution of marine habitats and key areas for species. The kelp was identified in the field using underwater video cameras and GPS and classified according to the routine established in the Norwegian National Program for Mapping Biodiversity – Coast. Kelp forests were defined as moderately dense and dense occurrences of kelp. Areas of kelp forest were modelled using different statistical methods (e.g. GAM, BRT, Maxent) based on point data collected along environmental gradients. These data include only the largest kelp forests.
Creation:
Date identifies when the resource was brought into existence
Unique resource identifier
5f79b7a7-addc-4df7-854e-30414986df34
Credit
The National Program for Mapping Biodiversity – Coast is funded by the Ministry of Trade, Industry and Fisheries and Ministry of Climate and Environment Project leader: Trine Bekkby, Norwegian Institute for Water Research. http://onlinelibrary.wiley.com/doi/10.1002/9781118496480.ch2/summary
Vector:
Vector data is used to represent geographic data
Spatial resolution
Denominator
808536
Language
English
Topic category code
Reference System Information
Unique resource identifier
http://www.opengis.net/def/crs/EPSG/0/3857
Hierarchy level
Dataset:
Information applies to the dataset
Lineage
Statement
The kelp was identified in the field using underwater video cameras and GPS and classified according to the routine established in the Norwegian National Program for Mapping Biodiversity – Coast. Kelp forests were defined as moderately dense and dense occurrences of kelp. Areas of kelp forest were modelled using different statistical methods (e.g. GAM, BRT, Maxent) based on point data collected along environmental gradients. These data include only the largest kelp forests.