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Datetime of change: November 12, 2021 - 17:56

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Local terrestrial diversity (PREDICTS)

by Andy Purvis

Changes in average local terrestrial diversity for each grid cell caused by land-use, land-use intensity, and human population density, estimated by the PREDICTS model (Purvis et al., 2018). It reports the number of species in each cell relative to a pristine baseline (percentage) and changes in species number relative to 1900 (percentage). Uses the LUH 2.0 projections for land-use and the PREDICTS database with 767 studies from over 32 000 sites ...

Last update: November 12, 2021 - 17:56

Data: netCDF (10.95MB)
Metadata: ACDD (JSON) | EML (XML)

PREDICTS

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.
Provide the DOI number of the dataset and/or associated publications.
https://doi.org/
The method of production of the original data. At the minimum if it was model-generated, should name the model and its version. If it is observational, it should characterize it. A complete description would detail the multiple steps needed to generate the data. For each step it should give type of step (dataset, code, software or description of protocol), access (open or restricted) and link to code and/or publications (DOI or URL or Github).
The coverage content type describes the general content type of the resource.
A textual description of the processing (or quality control) level of the data.
The name of the Project.
The URL to the Project (Webpage/GitHub etc.)
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.
The names of the co-creators responsible for creating this data.
Select between Creative Commons (CC) or Non-CC license.

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.

Metric

Provide the name, description, units of minimum 1 metric.

Scenario

If applicable, name the scenario's exercise, the version and provide a URL to the reference.

Spatial domain

Global
Continental/Regional
National
Sub-national/Local

Temporal domain

decadal
annually
monthly
weekly
daily
Other
Select the temporal extent of the dataset.
-

Environmental domain *

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