| In the process of global industrialization,CO2 and other greenhouse gas emissions cause extreme climate and other serious environmental problems that make human survival conditions increasingly harsh and seriously affect human survival and development.And land as a medium for energy consumption,development planning,and economic and social development,carbon emissions are related to land use,in a certain sense through generated or reflected by land use transformation,land use restructuring,etc.From the perspective of land use,measuring the regional carbon emission level and studying its influencing factors can help promote the low-carbon development of land use by assessing the degree of contribution of land use to regional carbon emissions,and promote the coordinated development of high-quality economic development and continuous improvement of ecological and environmental quality in Xi’an in the context of regional development of low-carbon economy.Taking Xi’an city as an example,this study firstly elaborates the connotation of land use carbon emission and analyzes the land use change in Xi’an city based on land use and socio-economic data of 13 districts and counties in Xi’an city during 2000-2020 using land use dynamic attitude and land use transfer matrix.Then the carbon emission coefficient method was applied to measure the carbon sources,carbon sinks and net carbon emissions in Xi’an city and analyze their spatial and temporal changes.The spatial and temporal changes of carbon emission risk are also analyzed by using a 1km×1km grid as a unit.Based on this,we analyze the decoupling state of carbon emission and economic growth,explore the influencing factors of land use carbon emission in Xi’an through LMDI decomposition model,and finally propose countermeasures to promote the development of low carbon economy in Xi’an based on the main influencing factors.The main research findings are as follows:(1)The analysis of land use changes in Xi’an from 2000 to 2020 shows that the area of forest land and arable land decreased,the area of grassland,unused land,construction land and water increased,the area of construction land increased the most,and the area of arable land decreased the most,and the area of each land use type changed to different degrees,but the land use structure was relatively stable in general.Construction land has the largest movement,followed by water area and unused land,and forest land has the most stable change;the comprehensive land use movement in Xi’an is 0.25%,and the land use change in Xi’an is generally relatively flat over 20 years,showing an increase,then decrease and then increase in time periods.Among the spatial and temporal land use shifts,the largest area of land converted from arable land to construction land is mainly distributed in Yanta,Weiyang,Baqiao,Gaoling,Yanliang and northern Chang’an districts of Xi’an.(2)The net carbon emissions and total carbon sources from land use in Xi’an continue to increase incrementally from 2000 to 2020,and the carbon sink increases slightly.The most important carbon source in Xi’an is construction land,and forest land is the main carbon sink.The trends of carbon emission changes during the study period are basically consistent between each district and county and Xi’an city as a whole.Due to the different natural conditions and the degree of economic development,carbon emissions vary significantly spatially among districts and counties.The highest carbon emission area of land is always Yanta District,and the higher areas are Beilin District,Weiyang District,Lianhu District and Xincheng District,and carbon emissions decrease step by step from these five districts to the surrounding districts and counties,and this change trend gradually deepens from 2000 to2020.(3)From 2000 to 2020,the proportion of micro-risk and low-risk areas of land use in Xi’an was always greater than 60%,and the highest carbon emission risk index in Xi’an was0.51 during the 20-year period,so the overall carbon emission risk of land use in Xi’an was relatively low.are mainly distributed in the junction of Lintong District and Lantian County in the east,mainly grassland,with decreasing proportion;medium risk areas are mostly distributed in the northern area with more arable land,with increasing proportion;high and heavy risk areas are mainly distributed in the areas with high concentration of construction land,such as Yanta District,Beilin District,Lianhu District,Xincheng District and Weiyang District,with increasing proportion of high risk areas and increasing proportion of heavy risk areas from none to one year by year.High and heavy risk areas continue to spread to the surrounding areas with urban expansion,and low risk gradually turns into medium,high and heavy risk.(4)The decoupling state of carbon emission and economic growth in Xi’an as a whole changes from expansion connection to weak decoupling from 2000 to 2020,and the specific state of decoupling in each district and county is similar to the situation in the city,all gradually improving;among the influencing factors,energy consumption intensity plays a positive role in promoting carbon emission,and the degree of economic development,the scale of construction land,the population density of construction land,and the intensity of energy consumption and carbon emission basically show positive effects Among the factors,the degree of economic development is the main promoting factor,the scale of construction land,the population density of construction land and the intensity of energy consumption and carbon emission are the second,and the intensity of energy consumption is the main inhibiting factor.(5)Combining with the findings of the study,strategies to realize low-carbon land use in Xi’an are proposed,such as controlling the expansion of construction land and optimizing the land use structure,adjusting the energy consumption structure and improving the energy use efficiency,promoting the upgrading of industrial structure and promoting regional synergistic development,and deepening government macro-control and creating a multi-faceted governance pattern. |