Fitton, N. et al

The percentage of total pasture land, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble

https://doi.org/10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f Cite this dataset
Projections of global changes in water scarcity with the current extent of croplands 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.

Publication date: 2019-11-13

Get the data

This dataset will be available under the terms of the Open Government Licence

Format of the dataset : Comma-separated values (CSV)

You must 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

 

© Natural Environment Research Council

This dataset is part of the following

Delivering Food Security on Limited Land (DEVIL)

Where/When

Study area
Temporal extent
2050-01-01    to    2050-12-31

Provenance & quality

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.

Correspondence/contact details

Dr Nuala Fitton
University of Aberdeen
 n.fitton@abdn.ac.uk

Authors

Fitton, N.
University of Aberdeen
ORCID iD icon https://orcid.org/0000-0001-7386-0472
Alexander, P
University of Edinburgh
Arnell, N.
University of Reading
Bajzelj, B.
University of Cambridge
Calvin, K.
Pacific Northwest National Laboratory
Doelman, J.
Netherlands Environmental Assessment Agency
Gerber, J.S.
University of Minnesota
Havlik, P.
International Institute for Applied Systems Analysis
Hasegawa, T.
National Institute for Environmental Studies, Tsukuba
Herrero, M.
Commonwealth Scientific and Industrial Research Organisation
Krisztin, T.
International Institute for Applied Systems Analysis
van Meijl, H.
Wageningen University and Research Centre
Powell, T.
University of Exeter
Sands, R.
US Department of Agriculture
Stehfest, E.
Netherlands Environmental Assessment Agency
West, P.C.
University of Minnesota
Smith, P.
University of Aberdeen

Other contacts

Custodian
Environmental Information Data Centre
 eidc@ceh.ac.uk
Publisher
NERC Environmental Information Data Centre
 eidc@ceh.ac.uk

Additional metadata

Topic categories
Environment , Farming
Keywords
Agriculture,  Climate and climate change,  Environmental risk,  Hydrology
INSPIRE Theme
Environmental Monitoring Facilities
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Last updated
13 December 2019 11:06