Land use maps under the trend, expansion, sustainability, and conservation scenarios in 2030 in the Luanhe River Basin, China by using the CLUMondo Model
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
dataset
https://data-package.ceh.ac.uk/data/a94640dc-fe21-4c38-936b-d62dfca0c952
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https://data-package.ceh.ac.uk/sd/a94640dc-fe21-4c38-936b-d62dfca0c952.zip
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description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/a94640dc-fe21-4c38-936b-d62dfca0c952
doi:
eng
environment
imageryBaseMapsEarthCover
115
119
42
39
2030-01-01
2030-12-31
publication
2021-07-06
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.
publication
2010-12-08
TIFF
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
School of Interdisciplinary Studies, University of Glasgow
https://orcid.org/0000-0003-2949-5353
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description: 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.
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author
School of Interdisciplinary Studies, University of Glasgow
https://orcid.org/0000-0002-0830-1196
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description: 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.
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author
School of Geographical & Earth Sciences, University of Glasgow
https://orcid.org/0000-0002-4380-4020
name: ORCID record
description: 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.
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author
School of Geographical & Earth Sciences, University of Glasgow
pointOfContact
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Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
name: EIDC website
description: The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
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2024-03-04T17:09:51