Predicted outcomes from land use change scenarios in upland Wales catchments
(DURESS)

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.

This dataset is included in the following collections

The DURESS project - Diversity of Upland Rivers for Ecosystem Service Sustainability