Assessing the Spatio-Temporal Dynamics of Land Use Carbon Emissions and Multiple Driving Factors in the Guanzhong Area of Shaanxi Province

Land use change is one of the key elements leading to carbon emission changes, and great significance process achieving goals peaking neutrality. In this study, we calculated land-use emissions (LCE) in Guanzhong area (GZA) Shaanxi province from 2000 2019 by using an improved LCE measurement model. Meanwhile, spatial temporal changes were analyzed driving forces investigated based on correlation analysis multi-scale geographical weighting regression (MGWR). The results showed that total amount a significant increasing trend 2019. Regions where significantly increased occupied 71.20% area; these regions distributed central eastern parts study area. positive had remarkable aggregation state. H-H agglomeration was urban agglomeration. L-L areas always southwest part GZA with low emissions. average coefficients between nighttime light (NTL), population density (PD), gross primary productivity (GPP) 0.13, 0.21, −0.05, respectively. NLT PD obvious effects LCE, while GPP has negative emissions, which can be ascribed sink effect forests grasslands. have important reference value regarding formulation reduction policies development low-carbon social economy.