Land use projections in China under global socioeconomic and emission scenarios: Utilizing a scenario-based land-use change assessment framework

This dataset includes land use and land cover datasets in 2050 and 2100 with 1km spatial resolution under five socio-economic pathways (SSP1,SSP2,SSP3,SSP4,and SSP5) and three emission pathways (RCP2.6, RCP4.5 with the Universal Carbon Tax (UCT) and Fossil Fuel and Industrial Emissions Carbon Tax (FFICT)) which are simulated from a scenario-based land-use change assessment framework, integrating Global Change Assessment Model (GCAM) and Future Land Use Simulation Model (FLUS). The research is aim to reveal the impacts of the global socioeconomic and emission assumptions on regional mitigations and land-use changes. GCAM is recalibrated using the historical China land use data and urban dynamics to improve the consistency of modeling results with the actual regional changes. The FLUS is validated using historical land use and land cover datasets and the results implicate the good performance of the model.