EUNIS heathland, scrub and tundra habitats, predicted potential distribution of habitat suitability (raster) - series
This series references the predicted potential distribution of EUNIS heathland, scrub and tundra habitat suitability.
Simple
- Date (Publication)
- 2016-07-01
Citation identifier
- Status
- Obsolete
- Point of contact
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Organisation name Individual name Electronic mail address Website Role European Environment Agency
http://www.eea.europa.eu Point of contact
Point of contact
- Maintenance and update frequency
- Unknown
- Keywords
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- Keywords
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EEA topics
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Biodiversity
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GEMET
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natural area
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tundra
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terrestrial ecosystem
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heathland
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GEMET - INSPIRE themes, version 1.0
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Habitats and biotopes
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- Use limitation
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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 ( http://www.eea.europa.eu/legal/copyright ). Copyright holder: European Environment Agency (EEA).
- Access constraints
- Other restrictions
- Other constraints
- no limitations to public access
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- Spatial representation type
- Grid
- Language of dataset
- English
- Character set
- UTF8
- Topic category
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- Biota
- Begin date
- 1940-01-01
- End date
- 2011-12-31
- Coordinate reference system identifier
- EPSG:3035
- Distribution format
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GeoTIFF
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GeoTIFF
(
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- Hierarchy level
- Series
Conformance result
- Date (Publication)
- 2010-12-08
- Explanation
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See the referenced specification
- Statement
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The data represent 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 ( http://www.cs.princeton.edu/~schapire/maxent ). 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. Presence data is coming from the Braun-Blanquet project database. 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).
Metadata
- File identifier
- d53acab8-6e1e-4703-b519-030212284f1c XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Series
- Hierarchy level name
-
series
- Hierarchy level name
-
series
- Hierarchy level name
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Series
- Date stamp
- 2024-04-12T12:18:42.35328Z
- Metadata standard name
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ISO 19115/19139
- Metadata standard version
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1.0