Potential distribution seagrass (Zostera marina) in an area in Nord├©yane, M├©re og Romsdal county, the West coast of Norway

Alternate title	NO300001
Date	2006-01-01
Date type	Publication: Date identifies when the resource was issued
Unique resource identifier	DBFDB54C-2670-44B3-967D-546E5CEF49FB

Purpose

The model represents the potential distribution of habitat areas of seagrass (eelgrass, Zostera marina) in an area in Nord├©yane, M├©re og Romsdal county, the West coast of Norway. Field data (35 seagrass presences, 560 absences) was collected in 2003. The model was run in 2006 and published in Bekkby et al. (2008). The five predictor variables used were depth, slope, ÔÇ£enclosednessÔÇØ, wave exposure and current speed. The depth model (DTM) was developed at a spatial resolution of 10 m using the linear algorithm of the software Surfer (version 6.1, Bekkby et al., 2002), based on point data and contour intervals purchased from the Norwegian Mapping Authority. Slope was calculated from the DTM using the function available in ArcView 3.3. ÔÇ£EnclosednessÔÇØ (Bekkby and Is├ªus, 2008), i.e. the degree to which an area is situated in an inlet or bay, was modelled at a spatial resolution of 10 m. Wave exposure was modelled, with a spatial resolution of 10 m, as an index using data on fetch (distance to nearest shore, island or coast), averaged wind speed and wind frequency (estimated as the amount of time that the wind came from one of 16 direction). Current speed was estimated by the numerical ocean model ROMS at a 100 m spatial resolution. The model (fivefold cvROC = 0.89) was developed using GAM analysis and AICc model selection, in the statistical program S-PLUS 2000. "Look up tables" and the program Grasp were used to transfer the predictions to ArcView GIS 3.3.

Credit

ÔÇó Bekkby T, Rinde E, Erikstad L, Bakkestuen V, Longva O, Christensen O, Is├ªus M, Isachsen PE. 2008. Spatial probability modelling of eelgrass Zostera marina L. distribution on the West coast of Norway. ICES J Mar Sci 65:1093-1101. https://academic.oup.com/icesjms/article/65/7/1093/643728 ÔÇó Bekkby, T., and Is├ªus, M. 2008. Mapping large shallow inlets and bays - modelling a Natura 2000 habitat with digital terrain and wave exposure models. ICES Journal of Marine Science, 65: 238-241. https://academic.oup.com/icesjms/article/65/2/238/736559 ÔÇó Bekkby, T., Erikstad, L., Bakkestuen, V., and Bj├©rge, A. 2002. A landscape ecological approach to coastal zone applications. Sarsia, 87: 396-408. www.tandfonline.com/doi/abs/10.1080/0036482021000155845

mdConstraintsSection

Resource constraints Constraints Use limitation The model is not downloadable (only viewer access), but can be inquired via e-mail to trine.bekkby@niva.no.

Point of contact

Individual name	Trine Bekkby
Organisation name	Norwegian Institute for Water Research (NIVA)
Electronic mail address	trine.bekkby@niva.no
Role	Point of contact: Party who can be contacted for acquiring knowledge about or acquisition of the resource

Descriptive keywords

GDI-Vlaanderen Trefwoorden	Metadata GDI-Vl-conform
Other keywords	GEMET - INSPIRE themes, version 1.0
Other keywords	Uncategorized
Other keywords	Marine habitat mapping
Other keywords	Habitats and Biotopes
Other keywords	Downloadable Data

Spatial representation type	Grid: Grid data is used to represent geographic data

Spatial resolution

Distance	10 m

Language	English
Character set	UTF8: 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
Topic category code	{{'environment' | translate}}
Environment description	Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.1.7333

Reference System Information

Unique resource identifier	4326
Codespace	EPSG

Hierarchy level	Dataset: Information applies to the dataset

Lineage

Statement

The model represents the potential distribution of habitat areas of seagrass (eelgrass, Zostera marina) in an area in Nord├©yane, M├©re og Romsdal county, the West coast of Norway. Field data (35 seagrass presences, 560 absences) was collected in 2003. The model was run in 2006 and published in Bekkby et al. (2008). The five predictor variables used were depth, slope, ÔÇ£enclosednessÔÇØ, wave exposure and current speed. The depth model (DTM) was developed at a spatial resolution of 10 m using the linear algorithm of the software Surfer (version 6.1, Bekkby et al., 2002), based on point data and contour intervals purchased from the Norwegian Mapping Authority. Slope was calculated from the DTM using the function available in ArcView 3.3. ÔÇ£EnclosednessÔÇØ (Bekkby and Is├ªus, 2008), i.e. the degree to which an area is situated in an inlet or bay, was modelled at a spatial resolution of 10 m. Wave exposure was modelled, with a spatial resolution of 10 m, as an index using data on fetch (distance to nearest shore, island or coast), averaged wind speed and wind frequency (estimated as the amount of time that the wind came from one of 16 direction). Current speed was estimated by the numerical ocean model ROMS at a 100 m spatial resolution. The model (fivefold cvROC = 0.89) was developed using GAM analysis and AICc model selection, in the statistical program S-PLUS 2000. "Look up tables" and the program Grasp were used to transfer the predictions to ArcView GIS 3.3.

Domain consistency

Conformance result Specification 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 2019-04-11 Date type Publication: Date identifies when the resource was issued Pass Yes

mdLegalAndSecurityConstraintsSection

Resource constraints Legal constraints Access constraints License: Formal permission to do something Use constraints License: Formal permission to do something

Distribution format	Raster Dataset

File identifier	DBFDB54C-2670-44B3-967D-546E5CEF49FB
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
Hierarchy level name	dataset
Date stamp	2020-01-15T12:23:05
Metadata standard name	INSPIRE Metadata Implementing Rules: Technical Guidelines based on EN ISO 19115 and EN ISO 19119
Metadata standard version	V. 1.2
Contact Individual name Trine Bekkby Organisation name Norwegian Institute for Water Research (NIVA) Electronic mail address trine.bekkby@niva.no Role Point of contact: Party who can be contacted for acquiring knowledge about or acquisition of the resource