Modelled arable area for Great Britain under different climate and policy scenarios
The dataset contains model output from an agricultural land use model at kilometre scale resolution over Great Britain (GB) for four different climate and policy scenarios. Specifically, arable area is modelled for with or without a climate tipping point (standard (medium emissions scenario SRES-A1B) climate change vs Atlantic Meridional Overturning Circulation (AMOC) collapse) and with or without widespread irrigation use for farmers from 2000 to 2089. Full details about this dataset can be found at https://doi.org/10.5285/e1c1dbcf-2f37-429b-af19-a730f98600f6
INSPIRE
Identification
- File identifier
- e1c1dbcf-2f37-429b-af19-a730f98600f6 XML
- Resource type
- dataset
Online resource
Resource identifier
- Metadata Language
- English (en)
- Spatial representation type
- textTable
Encoding
- Format
- Comma-separated values (CSV)
Projection
- code
- WGS 84
Classification of data and services
- Topic category
-
- Climatology, meteorology, atmosphere
Classification of data and services
Coupled resource
Coupled resource
Classification of data and services
Coupled resource
Coupled resource
Keywords
- GEMET - INSPIRE themes, version 1.0 ()
-
- Land Use
Geographic coverage
N
S
E
W
Temporal reference
Temporal extent
Temporal extent
- Dataset Reference Date ()
- 2019-11-11
Quality and validity
- Lineage
- The agricultural model outputs have been produced using the approach at the heart of the UK National Ecosystem Assessment and UK NEA Follow-On studies. The data is produced on a 2km grid square (400 hectares) over Great Britain. The land use data are derived from the June Agricultural Census panel (www.edina.ac.uk) collected on a 2km grid square basis over the entirety of GB for ten unevenly spaced years from 1972 to 2010. The approach and input data has been widely peer reviewed and discussed.
- Distance
- 1000 urn:ogc:def:uom:EPSG::9001
Conformity
Conformity
Conformity
Conformity
Conformity
Conformity
Restrictions on access and use
- Access constraints
- no limitations
- Access constraints
- This resource is available under the terms of the Open Government Licence
- Access constraints
- © University of Exeter
- Access constraints
- If you reuse this data, you should cite: Smith, G.S., Ritchie, P.D.L. (2019). Modelled arable area for Great Britain under different climate and policy scenarios. NERC Environmental Information Data Centre https://doi.org/10.5285/e1c1dbcf-2f37-429b-af19-a730f98600f6
Responsible organization (s)
Contact for the resource
- Organisation name
- University of Exeter
- enquiries@ceh.ac.uk
- Organisation name
- CSIRO
- enquiries@ceh.ac.uk
- Organisation name
- University of Exeter
- enquiries@ceh.ac.uk
- Organisation name
- NERC EDS Environmental Information Data Centre
- enquiries@ceh.ac.uk
- Organisation name
- NERC Environmental Information Data Centre
- enquiries@ceh.ac.uk
- Organisation name
- University of Exeter
- enquiries@ceh.ac.uk
Responsible organization (s)
Contact for the resource
- Organisation name
- University of Exeter
- enquiries@ceh.ac.uk
- Organisation name
- CSIRO
- enquiries@ceh.ac.uk
- Organisation name
- University of Exeter
- enquiries@ceh.ac.uk
- Organisation name
- NERC EDS Environmental Information Data Centre
- enquiries@ceh.ac.uk
- Organisation name
- NERC Environmental Information Data Centre
- enquiries@ceh.ac.uk
- Organisation name
- University of Exeter
- enquiries@ceh.ac.uk
Metadata information
Contact for the metadata
- Organisation name
- NERC EDS Environmental Information Data Centre
- info@eidc.ac.uk
- Metadata Date
- 2024-02-27T16:18:30
- Metadata Language
- English (en)
- Character set
- utf8