Abstract:Absrtact:[Objective] To systematically analyze the spatio-temporal change characteristics of land use in China and provinces under different carbon emission scenarios, in order to provide data support and theoretical basis for formulating regional land use planning and policies to cope with climate change, as well as future land use planning and sustainable development in China. [Methods] Based on land use data from 2015 to 2100, combined with land use transfer matrix and dynamic attitude index, this paper analyzed the temporal and spatial characteristics of land use change in China. [Results] Under SSP126 and SSP245 scenarios, cultivated land, construction land and unused land showed an overall increase trend, while grassland and forest land decreased, and grassland decreased most significantly. Under the SSP585 scenario, cultivated land, grassland and construction land increase, while forest land and unused land decrease significantly. In terms of land use transfer, forest land was converted into cultivated land and grassland, and unused land and grassland were converted most frequently. From 2015 to 2030, the land use change is the most drastic, and the dynamic attitude under the SSP585 scenario is the highest, which is mainly manifested as the conversion of grassland and unused land into cultivated land and construction land. From 2030 to 2060, the change amplitude decreases, and the change in the western region is relatively stable, and the change in Sichuan, Gansu and Heilongjiang provinces tends to be stable under the SSP245 scenario. From 2060 to 2100, the impact of climate change will weaken, and the total change area will decrease significantly. Especially under the SSP585 scenario, the change of western provinces is still more obvious, while the change of eastern regions will slow down. [Conclusion] China's land use change will be affected by carbon emission scenario, regional economic development and urbanization process, showing significant spatio-temporal heterogeneity and regional differences.