Date (Publication)

2021-01-22

Identifier

https://catalogue.ceh.ac.uk/id/5bf972a8-c9a3-4721-8089-552dfe3ff124

Identifier

doi: / 10.5285/5bf972a8-c9a3-4721-8089-552dfe3ff124

Other citation details

Titley, M.A., Willis, S.G. (2021). Projected national-level climate change impacts on terrestrial mammals and birds, and projected global transboundary range shifts by 2070. NERC Environmental Information Data Centre 10.5285/5bf972a8-c9a3-4721-8089-552dfe3ff124

GEMET - INSPIRE themes, version 1.0

• Environmental Monitoring Facilities

Access constraints

otherRestrictions Other restrictions

Other constraints

no limitations

Use constraints

otherRestrictions Other restrictions

Other constraints

This resource is available under the terms of the Open Government Licence

Use constraints

otherRestrictions Other restrictions

Other constraints

If you reuse this data, you should cite: Titley, M.A., Willis, S.G. (2021). Projected national-level climate change impacts on terrestrial mammals and birds, and projected global transboundary range shifts by 2070. NERC Environmental Information Data Centre https://doi.org/10.5285/5bf972a8-c9a3-4721-8089-552dfe3ff124

Spatial representation type

textTable Text, table

Distance

1  urn:ogc:def:uom:EPSG::9001

Metadata language

EnglishEnglish

Character set

utf8 UTF8

Topic category

• Biota

Begin date

2018-01-01

End date

2070-12-31

Unique resource identifier

WGS 84 / Pseudo-Mercator

Distribution format

• Comma-separated values (CSV) ()

OnLine resource

Download the data

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OnLine resource

Supporting information

Supporting information available to assist in re-use of this dataset

Hierarchy level

dataset Dataset

Other

dataset

Statement

Data were generated using ensemble Species Distribution Models, trained on five climatic predictor variables and projected using future climate data from three general circulation models. Species distributions were modelled at a half-degree resolution. We followed best-practice guidelines for creating the models, and validated the projections using ten-fold cross validation with present climate data. These methods have been peer-reviewed and are widely used. Data were checked for errors before publication. See supporting documentation for more information.

File identifier

5bf972a8-c9a3-4721-8089-552dfe3ff124 XML

Metadata language

EnglishEnglish

Character set

ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1

Hierarchy level

dataset Dataset

Hierarchy level name

dataset

Date stamp

2025-11-05T08:38:07

Metadata standard name

UK GEMINI

Metadata standard version

2.3