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本数据集包含中国滦河流域（Luanhe River Basin, LRB）2030年四种情景下的土地利用/土地覆盖（Land Use/Land Cover, LULC）地图，空间分辨率为1km。该四种情景基于不同的社会经济发展与环境保护目标、地方规划政策，以及利益相关方研讨会的研讨信息构建，分别为趋势情景、扩张情景、可持续发展情景与保护情景，旨在探究滦河流域的土地系统演化轨迹，以及该流域未来可能面临的主要挑战。该地图包含九类土地利用类型：1）粗放耕地，2）中等集约度耕地，3）高度集约耕地，4）林地，5）低载畜量草地，6）高载畜量草地，7）水域，8）建成区，9）未利用地。本次土地系统分类基于三大核心分类因子：（1）土地利用与覆盖情况，（2）牲畜承载量，（3）农业集约度。本数据集由英国研究与创新署（UK Research and Innovation, UKRI）通过自然环境研究委员会（Natural Environment Research Council, NERC）的“迈向可持续地球（Towards a Sustainable Earth, TaSE）”计划资助，对应项目为"River basins as 'living laboratories' for achieving sustainable development goals across national and sub-national scales"（项目编号：NE/S012427/1）。关于本数据集的完整详情可访问https://doi.org/10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952。