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Date of publication: March 29, 2022

Version 1

Date of publication: March 29, 2022

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Description:

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Predicted suitability for EUNIS habitat types (100m resolution) for EU27 countries

by Stephan Hennekens

The modelled suitability for some of the EUNIS terrestrial habitat types is an indication of where conditions are favorable for each habitat type based on classified sample plot data European Vegetation Archive (EVA), predictors, and the Maxent software package (biodiversityinformatics.amnh.org/open_source/maxent/). The modelled suitability maps may be used as a proxy for the potential geographical distribution of the habitat types in giv ...(continue reading)

Data: netCDF (319.92GB)
Metadata: ACDD (JSON) | EML (XML)

EUNISEuropeHabitats

The title of the dataset.
The date on which this version of the data was created in YYYY-MM-DD format.
A paragraph describing the dataset.
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The modelled suitability for some of the EUNIS terrestrial habitat types is an indication of where conditions are favorable for each habitat type based on classified sample plot data European Vegetation Archive (EVA), predictors, and the Maxent software package (biodiversityinformatics.amnh.org/open_source/maxent/). The modelled suitability maps may be used as a proxy for the potential geographical distribution of the habitat types in given environmental and climatic envelopes. Note however that the suitability is not representing the actual distribution of the habitat types. Currently for one time period (2010-2014) models have been created. For each period different versions for some of the predictors have been applied (LAI, LULC, Phenology, Population density). Climate, soil and topography predictors are the same for the two periods. In Maxent the models have been ran using the predictors for the second period for the future predictions.
Provide the DOI number of associated publications. Click Plus to add DOIs.

N/A

The method of production of the original data.
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For the modelling Maxent software package version 3.4.4 version was used (biodiversityinformatics.amnh.org/open_source/maxent/). Observation data for each EUNIS habitat was selected from the European Vegetation Archive, EVA (euroveg.org/eva-database). As predictors climate data, soil data, topographic data, population density and RS-EBVs like Phenology, LAI. LULC, NPP and Inundation have been used for the modelling. Besides statistical output of the model two distribution maps for each habitat type are produced. One binary map based on “10 percentile training presence” and one fraction map with values running from 0 to 1.
The coverage content type describes the general content type of the resource (multiple selection possible).
The name of the Project.
The URL from the project website. https://e-shape.eu
The name of the person or other creator type principally responsible for creating this data.
The email of the person or other creator type principally responsible for creating this data. stephan.hennekens@wur.nl
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Please select the CC license from the list. We recommend the use of CC BY 4.0

Essential Biodiversity Variables

Select the EBV class and the EBV name for the dataset. For cross-cutting use the comment at the bottom of the page for further information.
Genetic composition
Intraspecific genetic diversity
Genetic differentiation
Effective population size
Inbreeding
Other
Species populations
Species distributions
Species abundances
Other
Species traits
Morphology
Physiology
Phenology
Movement
Other
Community composition
Community abundance
Taxonomic and phylogenetic diversity
Trait diversity
Interaction diversity
Other
Ecosystem functioning
Primary productivity
Ecosystem phenology
Ecosystem disturbances
Other
Ecosystem structure
Live cover fraction
Ecosystem distribution
Ecosystem Vertical Profile
Other
Ecosystem services
Pollination
Other
Cross-cutting

Biological entity

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Species
Communities
Ecosystems
Other
None
A description of the range of taxa or ecosystem types addressed in the dataset. E.g. "300 species of mammals”, “Forests”, etc.
The reference as a URL. https://www.eea.europa.eu/data-and-maps/data/eunis-habitat-classification-1

Metric

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Scenario

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Spatial domain

Global
Continental/Regional
National
Sub-national/Local
Name of the continent/region/country/area, separated by comma
southWest lat: 1360000, lon: 2580000
northEast lat: 5445000, lon: 7350000

Temporal domain

The targeted time period between each value in the dataset.
decadal
annually
monthly
weekly
daily
Other
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Irregular
Single time
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-

Environmental domain *

Terrestrial
Marine
Freshwater
Miscellaneous information about the data, not captured elsewhere. N/A