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Date of publication: February 25, 2022

Version 1

Date of publication: February 25, 2022

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Description:

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GlobES - 1km Resolution Global Ecosystem Data Cube (subset)

by Ruben Remelgado

Global data cube on the yearly extent of ecosystems following the habitat classification scheme of the IUCN Red List, used in the assessment of over 100,000 species. This data cube is composed by 65 ecosystem types and covers the period between 1992 and 2018, where each layer depicts per-pixel areas of a given ecosystem within a given year. ...(continue reading)

Data: netCDF (7.53GB)
Metadata: ACDD (JSON) | EML (XML)

Ecosystem extentTime-seriesGlobalIUCN Red List

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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Global data cube on the yearly extent of ecosystems following the habitat classification scheme of the IUCN Red List, used in the assessment of over 100,000 species. This data cube is composed by 65 ecosystem types and covers the period between 1992 and 2018, where each layer depicts per-pixel areas of a given ecosystem within a given year.
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.
To develop the individual ecosystem maps in the GlobES data cube, we interpreted the interaction of 59 environmental variables that define ecosystem types, which we derived from 24 state-of-the-art, global datasets including remotely sensed and in-situ measurements of vegetation and abiotic land-surface cover, climate, soil, coastal and stream topography, and other environmental dimensions.
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://www.idiv.de/en/groups-and-people/core-groups/macroecosocial.html
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. ruben.remelgado@idiv.de
ruben.remelgado@idiv.de
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

Select the entity type of the dataset.
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.iucnredlist.org/resources/habitat-classification-scheme

Metric

Provide the name, description, units of minimum 1 metric. Click Plus to add metrics.

Scenario

Spatial domain

Global
Continental/Regional
National
Sub-national/Local
southWest lat: 2.2, lon: 9.5
northEast lat: 53.5, lon: 83.5

Temporal domain

The targeted time period between each value in the dataset.
decadal
annually
monthly
weekly
daily
Other
Irregular
Single time
Select the temporal extent of the dataset.
When the dataset represents a Single time, then use the same start and end date.
-

Environmental domain *

Terrestrial
Marine
Freshwater
Miscellaneous information about the data, not captured elsewhere. The presented data is a subset of its global dataset, which will be made available after a successful peer review.