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Date of publication: August 9, 2023

Version 1

Date of publication: August 9, 2023

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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 (https://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)

DOI 10.25829/zn5y29
Citation
Hennekens, S., Mucher, S. (2023). Predicted suitability for EUNIS habitat types (100m resolution) for EU27 countries (Version 1) [Dataset]. German Centre for Integrative Biodiversity Research. https://doi.org/10.25829/zn5y29

EUNISEuropeHabitats

15
The title of the dataset. Predicted suitability for EUNIS habitat types (100m resolution) for EU27 countries
The date on which this version of the data was created in YYYY-MM-DD format.
A paragraph describing the dataset.
Hover to see a suggestion for a good description. Allowed:
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 (https://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.
Hover to see a suggestion for a minimum description. For the modelling Maxent software package version 3.4.4 version was used (https://biodiversityinformatics.amnh.org/open_source/maxent/). Observation data for each EUNIS habitat was selected from the European Vegetation Archive, EVA (http://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 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
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

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Genetic composition
Intraspecific genetic diversity
Genetic differentiation
Effective population size
Inbreeding
Other
Species populations
Species distributions
Species abundances
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Species traits
Morphology
Physiology
Phenology
Movement
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Community composition
Community abundance
Taxonomic and phylogenetic diversity
Trait diversity
Interaction diversity
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Ecosystem functioning
Primary productivity
Ecosystem phenology
Ecosystem disturbances
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Ecosystem structure
Live cover fraction
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Ecosystem Vertical Profile
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Ecosystem services
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Cross-cutting

Biological entity

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Species
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Ecosystems
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None
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The reference as a URL. https://www.eea.europa.eu/data-and-maps/data/eunis-habitat-classification-1

Metric

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Scenario

Spatial domain

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

Temporal domain

The targeted time period between each value in the dataset.
decadal
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Environmental domain *

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