Date (Publication)

2019-11-15

Citation identifier

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

Citation 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

Point of contact

Organisation name	Individual name	Electronic mail address	Role
University of Aberdeen	Fitton, N.	n.fitton@abdn.ac.uk	Author
University of Edinburgh	Alexander, P.	Peter.Alexander@ed.ac.uk	Author
University of Reading	Arnell, N.	n.w.arnell@reading.ac.uk	Author
University of Cambridge	Bajzelj, B.	bojana.bajzelj@slu.se	Author
Pacific Northwest National Laboratory	Calvin, K.	Katherine.Calvin@pnnl.gov	Author
Netherlands Environmental Assessment Agency	Doelman, J.	jonathan.doelman@pbl.nl	Author
University of Minnesota	Gerber, J.S.	jsgerber@umn.edu	Author
International Institute for Applied Systems Analysis	Havlik, P.	havlikpt@iiasa.ac.at	Author
National Institute for Environmental Studies, Tsukuba, Japan	Hasegawa, T.	hasegawa.tomoko@nies.go.jp	Author
Commonwealth Scientific and Industrial Research Organisation	Herrero, M.	Mario.Herrero@csiro.au	Author
International Institute for Applied Systems Analysis	Krisztin, T.	krisztin@iiasa.ac.at	Author
Wageningen University and Research Centre	van Meijl, H.	hans.vanmeijl@wur.nl	Author
University of Exeter	Powell, T.	t.powell@exeter.ac.uk	Author
US Department of Agriculture	Sands, R.	ron.sands@usda.gov	Author
Netherlands Environmental Assessment Agency	Stehfest, E.	Elke.Stehfest@pbl.nl	Author
University of Minnesota	West, P.C.	pcwest@umn.edu	Author
University of Aberdeen	Smith, P.	pete.smith@abdn.ac.uk	Author
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Custodian
NERC Environmental Information Data Centre		info@eidc.ac.uk	Publisher
University of Aberdeen	Fitton, N.	n.fitton@abdn.ac.uk	Point of contact

GEMET - INSPIRE themes, version 1.0

• Environmental Monitoring Facilities

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Other restrictions

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no limitations

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© Natural Environment Research Council

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

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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

Text, table

Language

English

Character set

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

Name	Version
Comma-separated values (CSV)

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Distributor

OnLine resource

Protocol	Linkage	Name
	https://data-package.ceh.ac.uk/data/84b3b580-acbf-487d-bf44-c21bc2cf12ee	Download the data

OnLine resource

Protocol	Linkage	Name
	https://data-package.ceh.ac.uk/sd/84b3b580-acbf-487d-bf44-c21bc2cf12ee.zip	Supporting information

Hierarchy level

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.

Metadata

File identifier

84b3b580-acbf-487d-bf44-c21bc2cf12ee XML

Metadata language

English

Character set

8859 Part 1

Hierarchy level

Dataset

Hierarchy level name

dataset

Date stamp

2025-03-21T13:21:52

Metadata standard name

UK GEMINI

Metadata standard version

2.3

Metadata author

Organisation name	Individual name	Electronic mail address	Role
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Point of contact