You are viewing the Initial Version, the most recent version of this dataset.
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Date of publication: December 5, 2022

Version 1

Date of publication: December 5, 2022

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Historical local species richness (PREDICTS)

by Samantha Hill

Modelled historical local species richness relative to pristine baseline with a spatial resolution of 0.25 degrees for 1980, 2000, 2007, 2009 and 2010. Original dataset produced by Hill, et al. (2018, https://doi.org/10.1101/311787), derived from the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) database for the BES SIM project. This subset is used for analysis in Valdez et al. (2023, https://doi.org/10.1 ...(continue reading)

Dataset DOI: 10.25829/e3cwb2
Data: netCDF (3.44MB)
Metadata: ACDD (JSON) | EML (XML)

PREDICTSSpecies RichnessBES-SIMTerrestrial

The title of the dataset.
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Modelled historical local species richness relative to pristine baseline with a spatial resolution of 0.25 degrees for 1980, 2000, 2007, 2009 and 2010. Original dataset produced by Hill, et al. (2018, https://doi.org/10.1101/311787), derived from the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) database for the BES SIM project. This subset is used for analysis in Valdez et al. (2023, https://doi.org/10.1111/ecog.06604).
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https://doi.org/
10.1111/ecog.06604
https://doi.org/
10.1101/311787
The method of production of the original data.
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A linear mixed-effects model was used to model site-level species richness using the site-level data extracted from PREDICTS (Hudson, et al. 2017, https://doi.org/10.1002/ece3.2579), with historical land use and related pressures (land-use intensity, and human population density) as explanatory variables (Hurtt, et al. 2020, https://doi.org/10.5194/gmd-13-5425-2020). The spatial pattern of the expected site-level species richness was then projected by combining the coefficients of this model with global raster data of these pressures for each focal year (Hill, et al. 2018, https://doi.org/10.1101/311787).
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The name of the Project.
The URL from the project website. https://www.nhm.ac.uk/our-science/our-work/biodiversity/predicts.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. Samantha.Hill@unep-wcmc.org
jose_w.valdez@idiv.de
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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
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. N/A

Metric

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Scenario

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Spatial domain

Global
Continental/Regional
National
Sub-national/Local
southWest lat: -58, lon: -180
northEast lat: 83.8, lon: 180

Temporal domain

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decadal
annually
monthly
weekly
daily
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Single time
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-

Environmental domain *

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