Identification

Title

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

Abstract

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

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/a94640dc-fe21-4c38-936b-d62dfca0c952

name: Download the data

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/a94640dc-fe21-4c38-936b-d62dfca0c952.zip

name: Supporting information

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

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/a94640dc-fe21-4c38-936b-d62dfca0c952

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

imageryBaseMapsEarthCover

Keywords

Keyword set

keyword value

Environmental Monitoring Facilities

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

Cropland

Forest

Grassland

Urban

CLUMondo

Luanhe River Basin

China

Geographic location

West bounding longitude

115

East bounding longitude

119

North bounding latitude

42

South bounding latitude

39

Temporal reference

Temporal extent

Begin position

2030-01-01

End position

2030-12-31

Dataset reference date

date type

publication

effective date

2021-07-06

Frequency of update

Quality and validity

Lineage

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.

Conformity

Conformity report

specification

title

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

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

TIFF

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

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

Responsible organisations

Responsible party

organisation name

School of Interdisciplinary Studies, University of Glasgow

email address

Jiren.Xu@glasgow.ac.uk

responsible party role

author

Responsible party

organisation name

School of Interdisciplinary Studies, University of Glasgow

email address

Fabrice.Renaud@glasgow.ac.uk

responsible party role

author

Responsible party

organisation name

School of Geographical & Earth Sciences, University of Glasgow

email address

Brian.Barrett@glasgow.ac.uk

responsible party role

author

Responsible party

organisation name

School of Geographical & Earth Sciences, University of Glasgow

email address

Jiren.Xu@glasgow.ac.uk

responsible party role

pointOfContact

Responsible party

organisation name

NERC EDS Environmental Information Data Centre

email address

info@eidc.ac.uk

responsible party role

custodian

Responsible party

organisation name

NERC EDS Environmental Information Data Centre

email address

info@eidc.ac.uk

responsible party role

publisher

Responsible party

organisation name

University of Glasgow

email address

Jiren.Xu@glasgow.ac.uk

responsible party role

owner

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

UK

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2021-10-06T14:50:23

Metadata language

eng