BGS Hosted Metadata
Predicted outcomes from land use change scenarios in upland Wales catchments
A spatial approach was developed to interpret qualitatively expressed scenarios, and predict the probability and amount of change for 10 land-cover types across 127 sub-catchments in upland Wales. Existing data, which have a temporal coverage of 1998-2007, were used for the underpinning mapping, and fed into the tabular land cover change summary data. For each scenario, the maximum and minimum land-cover change was projected using rules based on current land cover, agricultural land quality, ownership type, and nature conservation status. For each combination, total land-cover change summaries have been created, which indicate how land cover within the 127 sub-catchments may respond to change in the future. This work was part of the Diversity in Upland River Ecosystem Service Sustainability (DURESS) project, NERC grant NE/J014826/1. Full details about this dataset can be found at https://doi.org/10.5285/0dd30cc6-d4fb-42f5-a5a4-954cf01a230b
Simple
- Date (Publication)
- 2017-02-28
- Citation identifier
- https://catalogue.ceh.ac.uk/id/0dd30cc6-d4fb-42f5-a5a4-954cf01a230b
- Citation identifier
- doi: / 10.5285/0dd30cc6-d4fb-42f5-a5a4-954cf01a230b
- Other citation details
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Small, N., Prosser, H., Durance, I. (2017). Predicted outcomes from land use change scenarios in upland Wales catchments. NERC Environmental Information Data Centre 10.5285/0dd30cc6-d4fb-42f5-a5a4-954cf01a230b
- Point of contact
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Organisation name Individual name Electronic mail address Role Cardiff University Small, N.
Point of contact Cardiff University Small, N. Author Cardiff University Prosser, H.
Author Cardiff University Durance, I.
Author NERC Environmental Information Data Centre Publisher NERC EDS Environmental Information Data Centre Custodian
- Maintenance and update frequency
- Unknown
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GEMET - INSPIRE themes, version 1.0
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Land Cover
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- Keywords
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Biodiversity & Ecosystem Service Sustainability (BESS)
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Diversity in Upland River Ecosystem Service Sustainability (DURESS)
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scenarios
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land-cover
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uplands
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catchments
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- Access constraints
- Other restrictions
- Other constraints
- no limitations
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© NERC and Cardiff University
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If you reuse this data, you should cite: Small, N., Prosser, H., Durance, I. (2017). Predicted outcomes from land use change scenarios in upland Wales catchments. NERC Environmental Information Data Centre https://doi.org/10.5285/0dd30cc6-d4fb-42f5-a5a4-954cf01a230b
- Spatial representation type
- Text, table
- Language
- English
- Character set
- UTF8
- Topic category
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- Environment
- Economy
- Health
- Inland waters
- Begin date
- 2014-07-01
- End date
- 2015-12-01
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- Unique resource identifier
- OSGB 1936 / British National Grid
- Distribution format
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Name Version Comma-separated values (CSV)
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/data/0dd30cc6-d4fb-42f5-a5a4-954cf01a230b Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/0dd30cc6-d4fb-42f5-a5a4-954cf01a230b.zip Supporting information
- Hierarchy level
- Dataset
- Other
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dataset
Conformance result
- Title
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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
- Date (Publication)
- 2010-12-08
- Statement
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Existing spatial datasets were collected and used to predict the maximum and minimum outcomes for land use change scenarios. These data include the 25 x 25m Land Cover Map 2007 raster, which was aggregated to 13 classes (see supporting documentation). The Agricultural Land Classification (ALC), designated boundary, and ownership data were also used. Using GIS, sub-catchment boundaries were used to clip the land cover, agricultural land quality, ownership, and designated sites data. Following this, two separate polygon layers were built to represent maximum (using land-cover and ALC data), and minimum (land-cover, ALC, plus additional datasets representing protected areas and areas of ownership) change. These were created by using the 'union' process in ArcGIS. A unique identifier was created in the polygon layers, and in each rule-base. The purpose of this unique identifier was to help match all attributes in the data and rule-base and join them together. In ArcGIS, calculations such as land cover area, land cover area percent, and net change (before and after scenario was applied) were made. Due to multiple land cover, ALC, designation and protected area permutations, a final summary was needed to illustrate by how much land cover changed under the different scenarios. Therefore, in Excel, each land cover in each sub-catchment was summarised and a total area before and after scenario was calculated. These values were exported into Excel spreadsheets and then into comma separated values for ingestion into the EIDC.
Metadata
- File identifier
- 0dd30cc6-d4fb-42f5-a5a4-954cf01a230b XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-11-13T16:23:44
- Metadata standard name
- UK GEMINI
- Metadata standard version
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2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
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