You are viewing Version 2, the most recent version of this dataset.
2 version(s) available
Date of publication: November 21, 2022

Version 2

Date of publication: November 21, 2022

Type of change: Metadata

Description: Changed the explanation of the metric.

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Predicted suitability for EUNIS habitat types

by Stephan Hennekens

The modelled suitability for the EUNIS habitat types is an indication of where conditions are favourable for each habitat type based on classified sample plot data (European Vegetation Archive), predictors and the Maxent software package. 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 repre ...(continue reading)

DOI 10.25829/veyq27
Citation
Hennekens, S. (2022). Predicted suitability for EUNIS habitat types (Version 2) [Dataset]. German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. https://doi.org/10.25829/veyq27

EuropeTerrestrial ecosystemEUNISMaxentRemote Sensing-EBVs

3
The title of the dataset. Predicted suitability for EUNIS habitat types
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 the EUNIS habitat types is an indication of where conditions are favourable for each habitat type based on classified sample plot data (European Vegetation Archive), predictors and the Maxent software package. 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 two time periods models have been created, 2010-2014 and 2015-2015. 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. The available datasets comprise on the in-situ (plot observation) data of the various the various EUNIS habitat types and the various predictors: climate data, soil data, topographic data, population density and RS-EBVs like Phenology, LAI. LULC, NPP, Inundation. Some predictors are represented by two versions, one for the period 2010-2014 and one for 2015-2019.
The name of the Project.
The URL from the project website. https://e-shape.eu/index.php/showcases/pilot4-3-myvariable
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
The names of the co-creators responsible for creating this data. Click Plus to add co-creators.
Select between Creative Commons (CC) or Non-CC license.
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://eunis.eea.europa.eu

Metric

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Scenario

Spatial domain

Global
Continental/Regional
National
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
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