Date (Publication)

2021-11-15

Date (Creation)

2019-03-01

Edition

01.00

Citation identifier

eea_r_3035_1_km_eunis-hab-m_p_1940-2017_v01_r00

Citation identifier

DAT-137-en

Point of contact

Organisation name	Individual name	Electronic mail address	Role
European Environment Agency		sdi@eea.europa.eu	Point of contact
European Environment Agency		sdi@eea.europa.eu	Custodian

Maintenance and update frequency

Not planned

GEMET - INSPIRE themes, version 1.0

• Habitats and biotopes

Keywords

Keywords

GEMET

• natural area

• modelling

• salt marsh

• terrestrial ecosystem

• habitat

Continents, countries, sea regions of the world.

• EEA38 (from 2020)

• United Kingdom

Spatial scope

• European

EEA topics

• Biodiversity

EEA Management Plan

• 2021 1.1.4

Sous-regions marines

• /Métropole

• /Métropole/Manche mer du Nord

• /Métropole/Mers Celtiques

• /Métropole/Golfe de Gascogne

• /Métropole/Méditerranée occidentale

Thématiques - SIMM

• /Etat du Milieu/Habitats

Type de jeux de donnée - ODATIS

• /Données dérivées/Données de type modèle

Access constraints

Other restrictions

Other constraints

no limitations to public access

Use constraints

Other restrictions

Other constraints

EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged ( https://www.eea.europa.eu/legal/copyright ). Copyright holder: European Environment Agency (EEA).

Spatial representation type

Grid

Distance

1  km

Language

English

Topic category

• Biota

Begin date

1940-01-01

End date

2017-12-31

Unique resource identifier

EPSG:3035

Distribution format

Name	Version
Geopackage	1
GDB

OnLine resource

Protocol	Linkage	Name
EEA:FOLDERPATH	https://sdi.eea.europa.eu/webdav/datastore/public/eea_r_3035_1_km_eunis-hab-m_p_1940-2017_v01_r00/
WWW:URL	https://sdi.eea.europa.eu/data/5b3e4da9-4c14-498c-b20e-bc514470eab5	Direct download
ESRI:REST	https://bio.discomap.eea.europa.eu/arcgis/rest/services/EUNIS/Mosaic_Saltmarshes/ImageServer	Suitability Layer
OGC:WMS	https://bio.discomap.eea.europa.eu/arcgis/services/EUNIS/Mosaic_Saltmarshes/ImageServer/WMSServer?request=GetCapabilities&service=WMS
WWW:URL	https://sdi.eea.europa.eu/data/f5946d76-bf09-4261-8f2e-6218210ae3af	EUNIS documentation for habitat classification

Hierarchy level

Dataset

Statement

The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used ( http://www.cs.princeton.edu/~schapire/maxent/ ). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.

The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level.

The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea) and the RS-EBV's (Remote Sensing-enabled Essential Biodiversity Variables) Inundation; occurrence, Phenology; End of Season (day number), Phenology; Length of season (days), Phenology; Low of season (day number), Phenology; NDVI mean, Phenology; NDVI seasonality, Phenology; Peak of season (day number), Phenology; Start of Season (day number), Vegetation height (m); Population density.

For more information on the RS-EBV's see https://www.synbiosys.alterra.nl/nextgeoss/docs/Description_Abiotic_and_RSEBVs.pdf

More information on the generation of the spatial files is provided in the documents available for download together with the dataset.

Source

• EUNIS Littoral biogenic habitat types (salt marshes), distribution based on vegetation plot data - version 1, Nov. 2021

Metadata

File identifier

5b3e4da9-4c14-498c-b20e-bc514470eab5 XML

Metadata language

English

Character set

UTF8

Hierarchy level

Dataset

Date stamp

2024-05-22T13:11:36.836734Z

Metadata standard name

ISO 19115/19139

Metadata standard version

1.0

Metadata author

Organisation name	Individual name	Electronic mail address	Role
European Environment Agency		sdi@eea.europa.eu	Point of contact