a94640dc-fe21-4c38-936b-d62dfca0c952 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:27:34 UK GEMINI 2.3 WGS 84 / Pseudo-Mercator Land use maps under the trend, expansion, sustainability, and conservation scenarios in 2030 in the Luanhe River Basin, China by using the CLUMondo Model 2021-07-06 publication https://catalogue.ceh.ac.uk/id/a94640dc-fe21-4c38-936b-d62dfca0c952 10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952 doi: 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 10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952 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 Xu, J. School of Interdisciplinary Studies, University of Glasgow Jiren.Xu@glasgow.ac.uk https://orcid.org/0000-0003-2949-5353 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Renaud, F.G. School of Interdisciplinary Studies, University of Glasgow Fabrice.Renaud@glasgow.ac.uk https://orcid.org/0000-0002-0830-1196 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Barrett, B. School of Geographical & Earth Sciences, University of Glasgow Brian.Barrett@glasgow.ac.uk https://orcid.org/0000-0002-4380-4020 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Xu, J. School of Geographical & Earth Sciences, University of Glasgow Jiren.Xu@glasgow.ac.uk pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of Glasgow Jiren.Xu@glasgow.ac.uk owner cropland management grassland urban area forest land use land cover GEMET - Concepts, version 4.1.3 2019-01-28 creation Land use China Towards a Sustainable Earth (TaSE) Cropland CLUMondo Luanhe River Basin otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions 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 vector 1000 English utf8 environment imageryBaseMapsEarthCover 2030-01-01 2030-12-31 115 119 39 42 TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/a94640dc-fe21-4c38-936b-d62dfca0c952 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/a94640dc-fe21-4c38-936b-d62dfca0c952.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset 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 2010-12-08 The map was developed based on three steps: First, land systems of the Luanhe River Basin (LRB) in the years 2000 and 2015 were mapped by integrating different datasets related to human-environment attributes. Then, the relationship between the land systems and local explanatory factors was calculated for the initial year (2000). Second, the CLUMondo model was parameterised and calibrated based on the 2015 land systems map. Finally, changes in the land systems from 2015 to 2030 were simulated under different scenarios, including alternative sets of demands for commodities and services and represented different pathways on managing LRB’s land resources.