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.
Identificatie
Versiedatum | 2023-09-18 |
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Type versiedatum | Creatie: Aanmaakdatum of opnamedatum van de dataset. |
Dataset identificator | f41d47f6-536e-4131-916b-95e922576278 |
Inhoud
Krediet | 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). |
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Contactgegevens dataset(serie)
Organisatie | Norwegian Institute for Water Research (NIVA) |
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post@niva.no | |
Rol | Eigenaar: Partij die eigenaar is van de data. |
Frequentie | Niet gepland: Er zijn geen plannen om de data te actualiseren. |
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Trefwoorden
GEMET - INSPIRE themes, version 1.0 | Habitats and biotopesOceanographic geographical features |
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GEMET - Concepts, version 4.1.3 |
habitat
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GDI-Vlaanderen Trefwoorden | Metadata GDI-Vl-conform |
Ruimtelijk schema dataset(serie) | vector: Vector data wordt gebruikt om geografische data te representeren. |
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Ruimtelijke resolutie dataset(serie)
Noemer | 808536 |
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Taal | Engels |
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Categorie(ën) |
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Begrenzing
Omschrijving geografische begrenzing | |||||||||
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Omschrijvende rechthoek
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Identificator geografische begrenzing |
Referentiesysteem
Horizontaal en/of verticaal referentiesysteem
Unieke code | http://www.opengis.net/def/crs/EPSG/0/3857 |
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Kwaliteit
Niveau kwaliteitsinformatie | Dataset: Informatie heeft betrekking op de dataset. |
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Bewerkingen
Algemene beschrijving herkomst | 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. |
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Conformiteit
Domeinconsistentie
Resultaat
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Toegangs- en gebruiksbeperkingen
Legale en veiligheidsbeperkingen
Beperkingen van de dataset(serie)
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Beperkingen van de dataset(serie)
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Distributie
Distributieformaat | GeoTiff (Version: 1) GML (Version: 3.2.1) | ||||||||||||||||
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Overdracht
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Meta-metadata
Metadata identificator (fileIdentifier) | f41d47f6-536e-4131-916b-95e922576278 | ||||||||
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Taal metadatarecord | Engels | ||||||||
Karakterset metadatarecord | UTF-8: 8-bit variabele grootte universele karakterset, gebaseerd op ISO/IEC 10646 | ||||||||
Hiërarchisch niveau | Dataset: Informatie heeft betrekking op de dataset. | ||||||||
Metadata wijzigingsdatum | 2023-09-18T09:17:32.723Z | ||||||||
Metadata-auteur
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