| Laminaria | |
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Data format: Raster Dataset File or table name: Laminaria Theme keywords: Laminaria hyperborea, Habitat modelling, GIS, Coastal management |
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Abstract:
Predicted distribution (probability of presence) of L. Hyperborea.
Predictions were classified in four probability classes, 0-0.25, 0.25-0.5, 0.5-0.75 and 0.75-1.
Generalized Additive Models (GAM) in the GRASP extension to the S-PLUS software package were used for statistical analyses of the data, and Akaike’s Information Criterion (AIC) was used for model selection.
Predictors in the model were wave exposure (SWM, Isæus 2004, 25 m resolution), depth (from a 25 m resolution digital elevation model), curvature (500 m resolution, analysed from the depth model), slope (25 m resolution, analysed from the depth model) and light exposure (light exposure in respect to the optimal angle, calculated from slope and aspect). |
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Predicted distribution (probability of presence) of L. Hyperborea. Predictions were classified in four probability classes, 0-0.25, 0.25-0.5, 0.5-0.75 and 0.75-1. Generalized Additive Models (GAM) in the GRASP extension to the S-PLUS software package were used for statistical analyses of the data, and Akaike’s Information Criterion (AIC) was used for model selection. Predictors in the model were wave exposure (SWM, Isæus 2004, 25 m resolution), depth (from a 25 m resolution digital elevation model), curvature (500 m resolution, analysed from the depth model), slope (25 m resolution, analysed from the depth model) and light exposure (light exposure in respect to the optimal angle, calculated from slope and aspect).
The project was a part of the NIVA project DYNAMOD and the EU Interreg III B project “BALANCE – Baltic Sea management, nature conservation and sustainable development in the marine ecosystem through spatial planning”. This particular project is part of work package 2 “The marine landscapes and habitats of the Baltic Sea” which aims to provide spatial descriptions of the sea floor useful for management purposes. The project was funded by the Danish Forest and Nature Agency (SNS) and by Norwegian institute for water research (NIVA) within Kystovervåkningen. Field data used in the report were provided from the National Coastal Monitoring Program (Kystoveråkningen, a national monitoring program funded by The Pollution Control Authorities SFT) and the National Program for Mapping of prioritised nature types (funded by Ministry of Fishery and Coastal affairs (FKD), Ministry of Environment (MD) and Ministry of Defence (FD).
Norderhaug et al. (2007): Spatial predictions of Laminaria hyperborea at the Norwegian Skagerrak coast, NIVA report LNR 5445-2007 (ISBN 978-82-577-5180-7)
publication date
Free use. Cite data originators.
Svante Arrhenius väg 21A
SE-104 05 Stockholm
Sweden
Kjell Magnus Norderhaug, Trine Bekkby, Frithjof Moy and Are Pedersen, NIVA, Norway Martin Isaeus, AquaBiota Water Research, Sweden
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