A cellular automata downscaling based 1 km global land use datasets (2010–2100)  

基于元胞自动机降尺度方法的1km分辨率全球土地利用数据集(2010～2100)(英文)

作　　者：李雪草 俞乐 徐伊迪 杨军 宫鹏 Terry Sohl Nicholas Clinton Wenyu Li Zhiliang Zhu Xiaoping Liu 

机构地区：[1]Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University [2]Joint Center for Global Change Studies [3]U.S. Geological Survey, Earth Resources Observation and Science (EROS) Center [4]U.S. Geological Survey [5]School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University

出　　处：《Science Bulletin》2016年第21期1651-1661,共11页科学通报（英文版）

基　　金：partially supported by the National Natural Science Foundation of China (41301445);Research Grant from Tsinghua University (20151080351);a Meteorological Public Benefit project of China (GYHY201506010)

摘　　要：Global climate and environmental change studies require detailed land-use and land-cover （LULC） information about the past, present, and future. In this paper, we discuss a methodology for downscaling coarse-resolution （i.e., half-degree） future land use scenarios to finer （i.e., 1 km） resolutions at the global scale using a grid-based spatially explicit cellular automata （CA） model. We account for spatial heterogeneity from topography, climate, soils, and socioeconomic variables. The model uses a global 30 m land cover map （2010） as the base input, a variety of biogeographic and socioeconomic variables, and an empirical analysis to downscale coarse-resolution land use information （specifically urban, crop and pasture）. The output of this model offers the most current and finest-scale future LULC dynamics from 2010 to 2100 （with four representative concentration pathway （RCP） scenarios--RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5） at a 1 km resolution within a globally consistent framework. The data are freely available for download, and will enable researchers to study the impacts of LULC change at the local scale.

关 键 词：LULC modeling Spatial downscaling RCP scenarios Urban expansion 

分 类 号：P208[天文地球—地图制图学与地理信息工程] F301.2[天文地球—测绘科学与技术]