Model of Laminaria hyperborea forests in the Nordic Countries
Point data on Laminaria hyperborea, 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. The aim of the project was to model the distribution of kelp forests in the Nordic countries in order to identify their ecosystem functions and services, including their role in the carbon cycle.
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Date | 2023-09-18 |
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Date type | Creation: Date identifies when the resource was brought into existence |
Unique resource identifier | af61f908-6eba-4e7d-a5a6-aa2d85cb6982 |
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 (NIVA). |
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Point of contact
Organisation name | Norwegian Institute for Water Research (NIVA) |
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Electronic mail address | post@niva.no |
Role | Owner: Party that owns the resource |
Maintenance and update frequency | Not planned: There are no plans to update the data |
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Descriptive keywords
GEMET - INSPIRE themes, version 1.0 | |
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GEMET - Concepts, version 4.1.3 |
habitat
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biotope
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GDI-Vlaanderen Trefwoorden | Metadata GDI-Vl-conform |
Spatial representation type | Vector: Vector data is used to represent geographic data |
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Spatial resolution
Denominator | 808536 |
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Language | English |
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Reference System Information
Unique resource identifier | http://www.opengis.net/def/crs/EPSG/0/3857 |
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Hierarchy level | Dataset: Information applies to the dataset |
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Lineage
Statement | Point data on Laminaria hyperborea, 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. |
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Distribution format | GeoTiff (Version: 1) GML (Version: 3.2.1) | ||||||||||||||||
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File identifier | af61f908-6eba-4e7d-a5a6-aa2d85cb6982 | ||||||||
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Metadata language | English | ||||||||
Character set | UTF8: 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 | ||||||||
Hierarchy level | Dataset: Information applies to the dataset | ||||||||
Date stamp | 2023-09-18T09:14:46.546Z | ||||||||
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Associated resources
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