Alternate title

GB300001

Date (Creation)

2011-06-18

Citation identifier

56A8D063-0576-4376-97FF-1F21D5DA64E6

Presentation form

Digital map

Other citation details

Kerry L. Howell, Rebecca Holt, In├®s Pulido Endrino and Heather Stewart, When the species is also a habitat: Comparing the predictively modelled distributions of Lophelia pertusa and the reef habitat it forms, Biological Conservation, Volume 144, Issue 11, 2011, https://doi.org/10.1016/j.biocon.2011.07.025.

Credit

Kerry L.Howell, Rebecca Holt, In├®s Pulido Endrino, Heather Stewart

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Plymouth University	Dr. Kerry Howell	kerry.howell@plymouth.ac.uk	Point of contact

Maintenance and update frequency

Irregular

GemetInspireTheme

• Habitats and biotopes

Keywords

• Downloadable Data

Use limitation

Viewable, not downloadable

Access constraints

License

Use constraints

License

Spatial representation type

Grid

Language

English

Character set

UTF8

Topic category

• Biota
• Oceans
• Geoscientific information

Environment description

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.1.7333

Reference system identifier

EPSG / http://www.opengis.net/def/crs/EPSG/0/4258 / 6.14(3.0.1)

Number of dimensions

2

Dimension name

Column

Dimension size

2895

Resolution

0.002534  deg

Dimension name

Row

Dimension size

891

Resolution

0.002534  deg

Cell geometry

Area

Transformation parameter availability

Yes

Checkpoint Availability

No

Point in Pixel

• Center

Distribution format

Name	Version
Raster Dataset

OnLine resource

Protocol	Linkage	Name
WWW:LINK-1.0-http--link	https://www.emodnet-seabedhabitats.eu/access-data/launch-map-viewer/?zoom=7&center=-17.641,58.544&layerIds=987&baseLayerId=-3&activeFilters=	EMODnet Seabed Habitats interactive map

Hierarchy level

Dataset

Statement

This study uses Maxent predictive modelling to investigate whether the distribution of the species acts as a suitable proxy for the reef habitat. Models of both species and habitat distribution across Hatton Bank and George Bligh Bank are constructed using multibeam bathymetry, interpreted substrate and geomorphology layers, and derived layers of bathymetric position index (BPI), rugosity, slope and aspect. Species and reef presence records were obtained from video observations. For both models performance is fair to excellent assessed using AUC and additional threshold dependant metrics. 7.17% of the study area is predicted as highly suitable for the species presence while only 0.56% is suitable for reef presence, using the sensitivityÔÇôspecificity sum maximisation approach to determine the appropriate threshold. Substrate is the most important variable in the both models followed by geomorphology in the RD model and fine scale BPI in the SD model. The difference in the distributions of reef and species suggest that mapping efforts should focus on the habitat rather than the species at fine (100 m) scales.

Content type

Image

Descriptor

Band_1

Maximum value

0.992637

Minimum value

0.000295

Bits per value

32

Metadata

File identifier

56A8D063-0576-4376-97FF-1F21D5DA64E6 XML

Metadata language

English

Character set

UTF8

Hierarchy level

Dataset

Hierarchy level name

dataset

Date stamp

2020-01-15T12:10:09

Metadata standard name

INSPIRE Metadata Implementing Rules: Technical Guidelines based on EN ISO 19115 and EN ISO 19119

Metadata standard version

V. 1.2

Metadata author

Organisation name	Individual name	Electronic mail address	Role
Plymouth University	Dr. Kerry Howell	kerry.howell@plymouth.ac.uk	Point of contact