Model of Saccharina latissima forests in the Nordic Countries

Point data on Saccharina latissima, collected from different sources in the Nordic countries, were used to model the kelp forest distribution by fitting boosted regression trees to the compiled data. The predictors were distance to shore, slope, curvature, aspect, salinity, temperature, light, current speed, sea ice concentration and wave fetch.

Simple

Date (Creation)
2023-09-18
Citation identifier
f41d47f6-536e-4131-916b-95e922576278
Credit

Kvile KO, Andersen GS, Baden SP, Bekkby T, Bruhn A, Geertz-Hansen O, Hancke K, Hansen JLS, Krause-Jensen D, Rinde E, Steen H, Wegeberg S, Gundersen H. 2022. Kelp forest distribution in the Nordic region. Front. Mar Sci. Manuscript DOI: 10.3389/fmars.2022.850359, Frontiers | Kelp Forest Distribution in the Nordic Region (frontiersin.org). This study has been supported by the Norwegian Environment Agency (Nordic Blue Carbon Project, #17080044), the Research Council of Norway (OPTIMAKELP, #280732), NIVA (Org. no. 855869942), the Independent Research Fund Denmark (CARMA, #8021-00222 B), the Danish Strategic Research Council (MAB3, #11-116872), the Government of Greenland and the Danish Environmental Protection Agency (DANCEA, J.nr. 2019 – 8703) and the EU Horizon 2020 (FACE-IT, #869154). The sources of the data used in the models is presented in the paper, Frontiers | Kelp Forest Distribution in the Nordic Region (frontiersin.org).

The model was developed by the Norwegian Institute for Water Research (NVA).
Point of contact
Organisation name Individual name Electronic mail address Role

Norwegian Institute for Water Research (NIVA)

post@niva.no

Owner
Maintenance and update frequency
Not planned
GEMET - INSPIRE themes, version 1.0
GEMET - Concepts, version 4.1.3
Access constraints
Other restrictions
Other constraints
no limitations to public access
Use constraints
Other restrictions
Other constraints

Available under the Creative Commons Attribution-NonCommercial (CC BY-NC) License v4.0
Spatial representation type
Vector
Denominator
808536
Language
English
Topic category
  • Biota
  • Oceans
N
S
E
W
thumbnail




Begin date
2023-09-12
End date
2023-09-12
Reference system identifier
http://www.opengis.net/def/crs/EPSG/0/3857
Distribution format
Name Version

GeoTiff

1

GML

3.2.1
OnLine resource
Protocol Linkage Name

OGC:WMS

 		https://ows.emodnet-seabedhabitats.eu/geoserver/emodnet_view/wms

OGC:WFS

 		https://ows.emodnet-seabedhabitats.eu/geoserver/emodnet_open/wcs
Hierarchy level
Dataset

Conformance result

Title
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
Date (Publication)
2010-12-08
Explanation

This data set is conformant with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services
Pass
Yes
Statement

Point data on Saccharina latissima, collected from different sources in the Nordic countries, were used to model the kelp forest distribution by fitting boosted regression trees to the compiled data. The predictors were distance to shore, slope, curvature, aspect, salinity, temperature, light, current speed, sea ice concentration and wave fetch.

Metadata

File identifier
f41d47f6-536e-4131-916b-95e922576278 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2023-09-18T09:17:32.723Z
Metadata author
Organisation name Individual name Electronic mail address Role

Norwegian Institute for Water Research (NIVA)

Kristina Ø. Kvile

post@niva.no

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

Habitats and biotopes Oceanographic geographical features


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