BGS Hosted Metadata
The percentage of total pasture land, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble
This dataset contains the percentage of the total pasture area in each country classified as vulnerable to water scarcity (annual run-off is declining and the water shed is defined as water scarce in 2050). Projections of global changes in water scarcity with the current extent of pasture land were combined to identify the potential country level vulnerabilities of pasture land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on pasture availability in 2050. Full details about this dataset can be found at https://doi.org/10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f
Simple
- Date (Publication)
- 2019-11-13
- Citation identifier
- https://catalogue.ceh.ac.uk/id/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f
- Citation identifier
- doi: / 10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f
- Other citation details
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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 pasture land, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble. NERC Environmental Information Data Centre 10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f
- Point of contact
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Organisation name Individual name Electronic mail address Role University of Aberdeen
Fitton, N. Author University of Edinburgh
Alexander, P.
Author University of Reading
Arnell, N.
Author University of Cambridge
Bajzelj, B.
Author Pacific Northwest National Laboratory
Calvin, K.
Author Netherlands Environmental Assessment Agency
Doelman, J.
Author University of Minnesota
Gerber, J.S.
Author International Institute for Applied Systems Analysis
Havlik, P.
Author National Institute for Environmental Studies, Tsukuba
Hasegawa, T.
Author Commonwealth Scientific and Industrial Research Organisation
Herrero, M.
Author International Institute for Applied Systems Analysis
Krisztin, T.
Author Wageningen University and Research Centre
van Meijl, H.
Author University of Exeter
Powell, T.
Author US Department of Agriculture
Sands, R.
Author Netherlands Environmental Assessment Agency
Stehfest, E.
Author University of Minnesota
West, P.C.
Author University of Aberdeen
Smith, P.
Author NERC EDS Environmental Information Data Centre Custodian NERC Environmental Information Data Centre Publisher University of Aberdeen
Fitton, N.
Point of contact
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GEMET - INSPIRE themes, version 1.0
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Environmental Monitoring Facilities
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- Access constraints
- Other restrictions
- Other constraints
- no limitations
- Use constraints
- Other restrictions
- Other constraints
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© Natural Environment Research Council
- Use constraints
- Other restrictions
- Use constraints
- Other restrictions
- Other constraints
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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 pasture land, 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/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f
- Spatial representation type
- Text, table
- Distance
- 100000 urn:ogc:def:uom:EPSG::9001
- Language
- English
- Character set
- UTF8
- Topic category
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- Environment
- Farming
- Begin date
- 2050-01-01
- End date
- 2050-12-31
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- Unique resource identifier
- WGS 84
- Distribution format
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Name Version Comma-separated values (CSV)
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/data/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f.zip Supporting information
- Hierarchy level
- Dataset
- Other
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dataset
Conformance result
- Title
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Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
- Date (Publication)
- 2010-12-08
- Statement
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Global maps, of the change in annual runoff (%) and water scarcity (index value between 1and 4, where 1 represents not water scarce and 4 is severely water scarce) were as estimated based on projections from five 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
- ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-03-21T13:23:37
- Metadata standard name
- UK GEMINI
- Metadata standard version
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2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
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