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

Identification info

Metadata Language: English (en)

Character set: utf8

Dataset Reference Date (): 2017-02-28

Identifier: https://catalogue.ceh.ac.uk/id/0dd30cc6-d4fb-42f5-a5a4-954cf01a230b

Identifier: doi: / 10.5285/0dd30cc6-d4fb-42f5-a5a4-954cf01a230b

Other citation details: 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

Cardiff University - Natalie Small

Cardiff University - Small, N.

Cardiff University - Prosser, H.

Cardiff University - Durance, I.

NERC Environmental Information Data Centre

NERC EDS Environmental Information Data Centre

Maintenance and update frequency: unknown

GEMET - INSPIRE themes, version 1.0 ()

Land Cover

Keywords

scenarios
land-cover
uplands
catchments
Biodiversity & Ecosystem Service Sustainability (BESS)
Diversity in Upland River Ecosystem Service Sustainability (DURESS)

Limitations on Public Access: otherRestrictions

Other constraints: no limitations

Use constraints: otherRestrictions

Other constraints: © NERC and Cardiff University

Use constraints: otherRestrictions

Other constraints: This resource is made available under the terms of the Open Government Licence

Use constraints: otherRestrictions

Other constraints: 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: textTable

Topic category

Environment
Economy
Health
Inland waters

Begin date: 2014-07-01

End date: 2015-12-01

Code: OSGB 1936 / British National Grid

Distribution Information

Data format

Comma-separated values (CSV) ()

Resource Locator: Download the data
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Resource Locator: Supporting information
Supporting information available to assist in re-use of this dataset

Resource Locator: Download the data
Download a copy of this data

Resource Locator: Supporting information
Supporting information available to assist in re-use of this dataset

Quality Scope: dataset

Other: dataset

Report

Dataset Reference Date (): 2010-12-08

Statement: 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 (en)

Character set: ISO/IEC 8859-1 (also known as Latin 1)

Resource type: dataset

Hierarchy level name: dataset

Metadata Date: 2022-05-20T10:39:54

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

Environmental Information Data Centre

Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK

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