ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f
English
ISO/IEC 8859-1 (also known as Latin 1)
dataset
dataset
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
info@eidc.ac.uk
https://eidc.ac.uk/
EIDC website
The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
information
pointOfContact
2024-02-27T16:29:08
UK GEMINI
2.3
WGS 84
The percentage of total pasture land, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble
2019-11-13
publication
https://catalogue.ceh.ac.uk/id/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f
10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f
doi:
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
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
Fitton, N.
University of Aberdeen
enquiries@ceh.ac.uk
https://orcid.org/0000-0001-7386-0472
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Alexander, P
University of Edinburgh
enquiries@ceh.ac.uk
author
Arnell, N.
University of Reading
enquiries@ceh.ac.uk
author
Bajzelj, B.
University of Cambridge
enquiries@ceh.ac.uk
author
Calvin, K.
Pacific Northwest National Laboratory
enquiries@ceh.ac.uk
author
Doelman, J.
Netherlands Environmental Assessment Agency
enquiries@ceh.ac.uk
author
Gerber, J.S.
University of Minnesota
enquiries@ceh.ac.uk
author
Havlik, P.
International Institute for Applied Systems Analysis
enquiries@ceh.ac.uk
author
Hasegawa, T.
National Institute for Environmental Studies, Tsukuba
enquiries@ceh.ac.uk
author
Herrero, M.
Commonwealth Scientific and Industrial Research Organisation
enquiries@ceh.ac.uk
author
Krisztin, T.
International Institute for Applied Systems Analysis
enquiries@ceh.ac.uk
author
van Meijl, H.
Wageningen University and Research Centre
enquiries@ceh.ac.uk
author
Powell, T.
University of Exeter
enquiries@ceh.ac.uk
author
Sands, R.
US Department of Agriculture
enquiries@ceh.ac.uk
author
Stehfest, E.
Netherlands Environmental Assessment Agency
enquiries@ceh.ac.uk
author
West, P.C.
University of Minnesota
enquiries@ceh.ac.uk
author
Smith, P.
University of Aberdeen
enquiries@ceh.ac.uk
author
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
custodian
NERC Environmental Information Data Centre
enquiries@ceh.ac.uk
publisher
Dr Nuala Fitton
University of Aberdeen
enquiries@ceh.ac.uk
pointOfContact
Environmental Monitoring Facilities
theme
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
otherRestrictions
no limitations
otherRestrictions
© Natural Environment Research Council
otherRestrictions
This resource is available under the terms of the Open Government Licence
otherRestrictions
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
textTable
100000
English
utf8
environment
farming
2050-01-01
2050-12-31
-180
180
-90
90
Comma-separated values (CSV)
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
distributor
https://data-package.ceh.ac.uk/data/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f
Download the data
Download a copy of this data
download
https://data-package.ceh.ac.uk/sd/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f.zip
Supporting information
Supporting information available to assist in re-use of this dataset
information
dataset
dataset
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
2010-12-08
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.