Date (Publication)

2019-11-15

Identifier

https://catalogue.ceh.ac.uk/id/84b3b580-acbf-487d-bf44-c21bc2cf12ee

Identifier

doi: / 10.5285/84b3b580-acbf-487d-bf44-c21bc2cf12ee

Other citation details

Fitton, N., Alexander, P., Arnell, N., Bajzelj, B., Calvin, K., Doelman, J., Gerber, J.S., Havlik, P., Hasegawa, T., Herrero, M., Krisztin, T., van Meijl, H., Powell, T., Sands, R., Stehfest, E., West, P.C., Smith, P. (2019). The percentage of total agricultural area under maize, rice, wheat, vegetables, pulses and fruit production, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble. NERC Environmental Information Data Centre 10.5285/84b3b580-acbf-487d-bf44-c21bc2cf12ee

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

© Natural Environment Research Council

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: Fitton, N., Alexander, P., Arnell, N., Bajzelj, B., Calvin, K., Doelman, J., Gerber, J.S., Havlik, P., Hasegawa, T., Herrero, M., Krisztin, T., van Meijl, H., Powell, T., Sands, R., Stehfest, E., West, P.C., Smith, P. (2019). The percentage of total agricultural area under maize, rice, wheat, vegetables, pulses and fruit production, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble. NERC Environmental Information Data Centre https://doi.org/10.5285/84b3b580-acbf-487d-bf44-c21bc2cf12ee

Spatial representation type

textTable Text, table

Metadata language

EnglishEnglish

Character set

utf8 UTF8

Topic category

• Biota
• Environment
• Farming
• Planning cadastre

Begin date

2050-01-01

End date

2050-12-31

Unique resource identifier

WGS 84

Distribution format

• Comma-separated values (CSV) ()

OnLine resource

Download the data

Download a copy of this data

OnLine resource

Supporting information

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

Hierarchy level

dataset Dataset

Other

dataset

Statement

Global maps, of the change in annual runoff (%) and water scarcity (index value between 1 – 4, where 1 represents not water scarce and 4 is severely water scarce) were as estimated based on projections from 5 different general circulation models/ global climate models (GCMs) were obtained directly from Prof. N. Arnell (University of Reading). Global maps of the current cropland area were directly downloaded from www.earthstat.org, which is an open access platform that hosts the most up to date versions of data. Maps of croplands were created based on a mixture of satellite derived data mixed with national, state and country census statistics, and were expressed on a global 5 arc-minute grid. Data used in this study was collected from several sources and cited in the supporting documentation.

File identifier

84b3b580-acbf-487d-bf44-c21bc2cf12ee 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

2025-03-21T13:21:52

Metadata standard name

UK GEMINI

Metadata standard version

2.3