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
- Identification
- Distribution
- Quality
- Spatial rep.
- Ref. system
- Content
- Portrayal
- Metadata
- Md. constraints
- Md. maintenance
- Schema info
Identification
Data identification
Citation
- Dataset Reference Date ()
- 2019-11-13
- Identifier
- doi: / 10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f
- 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 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
- GEMET - INSPIRE themes, version 1.0 ()
-
- Environmental Monitoring Facilities
Legal constraints
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
Legal constraints
- Use constraints
- otherRestrictions
- Other constraints
- © Natural Environment Research Council
Legal constraints
- Use constraints
- otherRestrictions
Legal constraints
- 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 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
- textTable
- Distance
- 100000 urn:ogc:def:uom:EPSG::9001
- Metadata Language
- English (en)
- Character set
- utf8
- Topic category
-
- Environment
- Farming
- Begin date
- 2050-01-01
- End date
- 2050-12-31
N
S
E
W
Distribution
Distribution
- Data format
-
-
Comma-separated values (CSV)
()
-
Comma-separated values (CSV)
()
- Resource Locator
-
Download the data
Download a copy of this data
- Resource Locator
-
Supporting information
Supporting information available to assist in re-use of this dataset
Quality
Data quality
Scope
- Quality Scope
- dataset
- Other
- dataset
Report
Citation
- Dataset Reference Date ()
- 2010-12-08
- Statement
- 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.
Ref. system
- Code
- WGS 84
Metadata
Metadata
- File identifier
- ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f 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
- 2024-02-27T16:29:08
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
,
Lancaster
,
LA1 4AP
,
UK
https://eidc.ac.uk/