Land use maps under the trend, expansion, sustainability, and conservation scenarios in 2030 in the Luanhe River Basin, China by using the CLUMondo Model

• Published by: Environmental Information Data Centre
• Last updated: 29 June 2024
• Topic: Not added
• Licence: Other Licence ; View licence information

Summary

Dataset contains the Land Use/Land Cover (LULC) map under four scenarios (Trend, Expansion, Sustainability, and Conservation) in 2030 in the Luanhe River Basin (LRB), China, with a resolution of 1km. The scenarios were based on different socio-economic development and environmental protection targets, local plans and policies, and the information from a stakeholders’ workshop, to explore land system evolution trajectories of the LRB and major challenges that the river basin may face in the future. The map includes nine different land use classes: 1) Extensive cropland, 2) Medium intensive cropland, 3) Intensive cropland, 4) Forest, 5) Grassland with low livestock, 6) Grassland with high livestock, 7) Water, 8) Built-up area and 9) Unused land. The land system classification is based on three main classification factors: (1) land use and cover, (2) livestock, and (3) agricultural intensity. The data was funded by UK Research and Innovation (UKRI) through the Natural Environment Research Council’s (NERC) Towards a Sustainable Earth (TaSE) programme, for the project "River basins as 'living laboratories' for achieving sustainable development goals across national and sub-national scales" (Grant no. NE/S012427/1) . Full details about this dataset can be found at https://doi.org/10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952

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Link to the data	Format	File added	Data preview
Supporting information	ZIP	29 June 2024	Not available
Download the data	N/A	29 June 2024	Not available

Additional information

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• Added to data.gov.uk: 2024-03-04
• Access contraints: If you reuse this data, you should cite: Xu, J., Renaud, F.G., Barrett, B. (2021). Land use maps under the trend, expansion, sustainability, and conservation scenarios in 2030 in the Luanhe River Basin, China by using the CLUMondo Model. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952
• Harvest GUID: a94640dc-fe21-4c38-936b-d62dfca0c952
• Extent: Latitude: 42° to 39°
• Extent: Longitude: 115° to 119°
• Dataset reference date: 2021-07-06 (publication)
• Responsible party: School of Interdisciplinary Studies, University of Glasgow (author); School of Geographical & Earth Sciences, University of Glasgow (author, pointOfContact); (custodian, publisher, owner)
• ISO 19139 resource type: dataset
• Metadata language: eng
• Source Metadata: XML
• Source Metadata: HTML

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