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Local terrestrial diversity (PREDICTS)

Dataset Creator Name: Andy Purvis
Date of creation: 2018

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 ...

PREDICTS

Title:

Local terrestrial diversity (PREDICTS)

Date of creation:

2018

Creator Name:

Andy Purvis

Creator Email: Andy.Purvis@nhm.ac.uk
Creator Organisation:

Natural History Museum London

Contact Name:

Samantha Hill

Contact Email: samantha.hill@nhm.ac.uk
Contact Organisation:

Natural History Museum London

Description:
Associated Publications: https://doi.org/10.1016/bs.aecr.2017.12.003
External links to the project: https://data.nhm.ac.uk/dataset/global-map-of-the-biodiversity-intactness-index-from-newbold-et-al-2016-science
https://data.nhm.ac.uk/dataset/predicts-site-level-summary-biodiversity-and-pressure-data
https://data.nhm.ac.uk/dataset/site-level-data-from-newbold-et-al-2016-has-land-use-science
License:

CC BY 4.0

Essential Biodiversity Variables

EBV class

Community composition

EBV name

Taxonomic and phylogenetic diversity

Metric

Metric 1
Name:

Richness relative to pristine baseline

Description:

Local within-sample species richness relative to the inferred pre-impact baseline

Unit:

Percentage


Metric 2
Name:

Richness relative to 1900

Description:

Change in average local species richness based intactness relative to 1900

Unit:

Percentage


Scenario

Scenario 1
Name:

LUH2.0 (SSP3 x RCP6.0)

Description:

LUH2.0 - Land Use Harmonisation dataset (Hurtt et al. 2018) that provides a gridded land-use dataset comprising estimates of historical land-use change (850-2015) and future projections. For the later, the SSP3 x RCP6.0 scenario was used: -SSP3: Regional Rivalry (High challenges to mitigation and adaptation). A resurgent nationalism, concerns about competitiveness and security, and regional conflicts push countries to increasingly focus on domestic or, at most, regional issues. Policies shift over time to become increasingly oriented toward national and regional security issues. Countries focus on achieving energy and food security goals within their own regions at the expense of broader-based development. Investments in education and technological development decline. Economic development is slow, consumption is material-intensive, and inequalities persist or worsen over time. Population growth is low in industrialised and high in developing countries. A low international priority for addressing environmental concerns leads to strong environmental degradation in some regions (after O'Neill et al. 2017 Global Environ. Chang.). -RCP6.0: Intermediate emissions with very modest to almost no climate policies, intermediate energy intensity, heavy reliance on fossil fuels and stable methane emissions (after Kim et al., 2018 Geosci.Model Dev.).


Spatial domain

Spatial extent:

Global

Spatial resolution:

0.25 degree

Spatial accuracy:

0.25 degree

Temporal domain

Temporal resolution:

Decadal

Temporal extent:

From 1900 to 2050

Biological entity

Entity type:

Community Types

Scope of entities:

Fairly representative set of > 50,000 animal, plant and fungal species.

Environmental domain

Realm:

Terrestrial

Description:

PREDICTS - Projecting Responses of Ecological Diversity In Changing Terrestrial Systems

Sources used to generate the data

Source 1
Name and version:

PREDICTS database (2016)

Type:

Dataset


Access:

Open


Link:

https://doi.org/10.5519/0066354


Reference:

https://doi.org/10.1002/ece3.2579


Source 2
Name and version:

Modelling and Projecting the Response of Local Terrestrial Biodiversity Worldwide to Land Use and Related Pressures: The PREDICTS Project

Type:

Description of protocol


Access:

Restricted


Link:

https://doi.org/10.1016/bs.aecr.2017.12.003


Reference:


Source 3
Name and version:

Land-Use Harmonization 2

Type:

Dataset


Access:

Open


Link:

https://luh.umd.edu/data.shtml


Reference:

https://doi.org/10.5194/gmd-13-5425-2020


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