Flanders Marine Institute (VLIZ)

Flanders Marine Institute (VLIZ) - Geoserver WMS Service

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Web Service, OGC Web Map Service 1.3.0
Access constraints
Please contact VLIZ if you want to use a layer
Supported languages
No INSPIRE Extended Capabilities (including service language support) given. See INSPIRE Technical Guidance - View Services for more information.
Data provider

Flanders Marine Institute (VLIZ) (unverified)

Contact information:

Bart V.

Flanders Marine Institute (VLIZ)

Wandelaarkaai 7, 8400 Oostende, Belgium


Service metadata
No INSPIRE Extended Capabilities (including service metadata) given. See INSPIRE Technical Guidance - View Services for more information.

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Available map layers (12)

Total biological valuation (bwzeeval)

Biological valuation Epibenthos (epibenthos)

Biological valuation epibenthos Ecological significant species epibenthos High abundance of certain species epibenthos High counts of many species epibenthos High species richness epibenthos Highly productive sites epibenthos Reliability of epibenthos maps

Biological valuation demersal fish (fish)

Biological valuation demersal fish High abundance of certain species demersal fish High counts of many species demersal fish High species richness demersal fish Reliability of demersal fish maps

Biological valuation macrobenthos (macro)

Biological valuation macrobenthos (abundace, ecological significant species, abundance, counts, species richness, presence) (macro1)

Abundance of rare species macrobenthos Ecological significant species macrobenthos Habitats formed by keystone species macrobenthos High abundance of certain species macrobenthos High counts of many species macrobenthos High species richness macrobenthos Presence of rare species macrobenthos

Distinctive/unique communities macrobenthos (macro8)

Reliability macrobenthos maps (macrorel)

BPI structures (ug_rcmg_bpi_s)

BPI zones (ug_rcmg_bpi_z)

Median grain size (ug_rcmg_d50)

Multivariate geostatistics have been used to obtain a detailed and high-quality map of the median grain-size distribution of the sand fraction at the Belgian Continental Shelf. Sandbanks and swales are the dominant geomorphological features and impose high-spatial seafloor variability. Interpolation over complex seafloors is difficult and as such various models were investigated. In this paper, linear regression and ordinary kriging (OK) were used and compared with kriging with an external drift (KED) that makes use of secondary information to assist in the interpolation. KED proved to be the best technique since a linear correlation was found between the median grain-size and the bathymetry. The resulting map is more realistic and separates clearly the sediment distribution over the sandbanks from the swales. Both techniques were also compared with a simple linear regression of the median grain-size against the bathymetry. An independent validation showed that the linear regression yielded the largest average prediction error (almost twice as large as with KED). Unlike most static sedimentological maps, our approach allows for defining grain-size classes that can be adapted according to the needs of various applications. These relate mainly to the mapping of soft substrata habitats and of the most suitable aggregates for extraction. This information is highly valuable in a marine spatial planning context. Resolution of the map is 250m x 250 m.

Silt-clay percentage (ug_rcmg_sicl)

Silt-clay percentage (< 63 μm) on the Belgian continental shelf. Interpolated map using ordinary kriging based on sedisurf@ database hosted by Ghent University, Renard Centre of Marine Geology. Resolution of the map is 250m x 250 m.

Biological valuation seabirds (vogels)

Biological valuation seabirds High abundance of certain species High counts of many species High percentage of a species population High species richness Reliability of birds maps

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