NERC Data Catalogue Service
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
Projections of global changes in water scarcity with the current extent of maize, rice, wheat, vegetables, pulses and fruit production commodities were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on maize, rice, wheat, vegetables, pulses and fruit production commodities availability in 2050.
Full details about this dataset can be found at https://doi.org/10.5285/84b3b580-acbf-487d-bf44-c21bc2cf12ee
Default
Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2019-11-15
- 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 ()
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- Environmental Monitoring Facilities
- Keywords
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- Agriculture
- future land availability
- commodity production
- water scarcity
- global analysis
- Agriculture production
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions
- Other constraints
- © Natural Environment Research Council
- Use constraints
- otherRestrictions
- Use constraints
- otherRestrictions
- 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
- Denominator
- 1
- Topic category
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- Biota
- Environment
- Farming
- Planning cadastre
))
- Begin date
- 2050-01-01
- End date
- 2050-12-31
- Code
- WGS 84
Distribution Information
- Data format
-
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Comma-separated values (CSV)
()
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Comma-separated values (CSV)
()
- Resource Locator
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- Resource Locator
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Supporting information
Supporting information available to assist in re-use of this dataset
- Resource Locator
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Download a copy of this data
- Resource Locator
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Supporting information
Supporting information available to assist in re-use of this dataset
- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
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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 (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2022-05-18T12:37:34
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
