| The problem of global climate change has piqued the international community’s interest.In the course of production and life,the amount of carbon dioxide in the atmosphere has increased in order to seek economic progress and the excessive use of resources and energy.Sustainable development for all mankind,a low-carbon economy is an unavoidable option.A low-carbon economy may meet both economic development and environmental protection objectives,and low-carbon land use is a critical component of a low-carbon economy.The carbon emission process of various land types is determined by the land use mode.It is crucial to strike a balance between the development of low-carbon land and the control of carbon sources.This article begins with important theories of land use carbon emissions and then analyzes land use carbon emissions in Shaanxi Province using land use data and socioeconomic data.The LMDI factor decomposition method is used to analyze the influencing factors of carbon emissions,predict the future development trend of land use carbon emissions,optimize the Shaanxi Province land use structure in low carbon,and propose corresponding optimization measures.The following are the primary conclusions:(1)Shaanxi Province’s land use categories are mostly grassland and arable land,which account for more over 30% of the total.The total area of building and unused land is minimal.From 2000 to 2020,the agricultural land area in Shaanxi Province declined progressively.The amount of development land available is steadily growing.From 2000 to2010,the forest area increased steadily,with a rather substantial increase.It revealed a declining tendency in growth from 2010 to 2020,however the difference was quite tiny.Total carbon emissions in Shaanxi Province increased by 4.82 times between 2000 and 2020,although the growth rate grew less and smaller,and the growth rate exhibited a notable decreasing trend.The Guanzhong area has the highest total carbon emissions from land usage,followed by northern and southern Shaanxi.In terms of geographical distribution,high carbon land regions can be found in Xi’an,Weinan,Xianyang,Baoji,Yulin,and other cities,whereas low carbon land areas can be found in Ankang,Shangluo,and Tongchuan.(2)Using the LMDI factorization approach,the incremental carbon emissions from land use were decomposed into a five-factor impact.Only the structural effect component of land use was shown to be an inhibitory factor of carbon emissions from land use in the study.The cumulative reduction in the structural effect of land use has been 111.6914 million tons,suggesting that improving the land use structure may minimize carbon emissions during the economic growth process.Optimizing land use structure is an efficient way to cut carbon emissions.Economic scale effects,which have increased carbon emissions from land usage by108.4311 million tons cumulatively,are the major culprits.The economy’s quick expansion and the continued rise in carbon emissions from land usage are closely related.Second,the effects of land use carbon emissions,energy intensity,and population size on the rise of carbon emissions,with cumulative increases of 80.578 million tons,46.6113 million tons,and 5.0334 million tons,respectively.(3)Carbon emissions from land use in Shaanxi Province were anticipated using the metabolic GM(1,1)model from 2020 to 2030.Carbon emissions in Shaanxi Province are expected to reach 119.346 million tons by 2030,a 37.51% increase over 2020.The linear programming approach is used to generate a set of optimum equation solutions with the goal of lowering carbon emissions.The forest land area is expanded to 5019500 hectares after optimization,while the construction land area is lowered to 529000 hectares.Carbon emissions are predicted to be 92.3802 million tons,which is approximately 26.9658 million tons fewer than the expected 119.346 million tons in 2030.To accomplish the optimization of the "lowcarbon" land use structure in Shaanxi Province,it is conceivable to increase the extent of forest land while decreasing the area of building land.We may expand the construction of carbonfixing land such as grasslands and forests,as well as allocate agricultural land,by changing land form and optimizing spatial distribution,as well as using energy wisely.This has the potential to cut carbon emissions while also promoting the development of a low-carbon economy. |