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 2025-11-13T16:23:12 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 n.fitton@abdn.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 Peter.Alexander@ed.ac.uk author Arnell, N. University of Reading n.w.arnell@reading.ac.uk author Bajzelj, B. University of Cambridge bojana.bajzelj@slu.se author Calvin, K. Pacific Northwest National Laboratory Katherine.Calvin@pnnl.gov author Doelman, J. Netherlands Environmental Assessment Agency jonathan.doelman@pbl.nl author Gerber, J.S. University of Minnesota jsgerber@umn.edu author Havlik, P. International Institute for Applied Systems Analysis havlikpt@iiasa.ac.at author Hasegawa, T. National Institute for Environmental Studies, Tsukuba hasegawa.tomoko@nies.go.jp author Herrero, M. Commonwealth Scientific and Industrial Research Organisation Mario.Herrero@csiro.au author Krisztin, T. International Institute for Applied Systems Analysis krisztin@iiasa.ac.at author van Meijl, H. Wageningen University and Research Centre hans.vanmeijl@wur.nl author Powell, T. University of Exeter t.powell@exeter.ac.uk author Sands, R. US Department of Agriculture ron.sands@usda.gov author Stehfest, E. Netherlands Environmental Assessment Agency Elke.Stehfest@pbl.nl author West, P.C. University of Minnesota pcwest@umn.edu author Smith, P. University of Aberdeen 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 Fitton, N. University of Aberdeen n.fitton@abdn.ac.uk pointOfContact Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication water scarcity drought GEMET - Concepts, version 4.1.3 2019-01-28 creation Climate and climate change Agriculture Environmental risk Hydrology 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.