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The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class.
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
This is a spatial dataset containing polygons representing areas of vegetation mapped within the Moor House National Nature Reserve in the northern Pennines, England. The map was created by staff of The Nature Conservancy in the 1960s. Full details about this dataset can be found at https://doi.org/10.5285/bb703113-3428-483c-858a-2a85cafd9821