## 5 Conclusions  
Based on land use change data in southern Guangzhou from 2004 to 2016, we evaluated the ESEV and ESV in the study area, and through spatial grid processing, trend analysis and spatial autocorrelation analysis of the ESEV estimation results, we found that over more than 1 decade, the study area experienced rapid urbanization, the areal extent of built-up land has occupied a large amount of ecological land, and various types of ecological land have been converted to each other. With the land use changes caused by urbanization and other factors, such as changes in the climate and ecological background quality, the total ESEV of the study area increased from 3.32 million in 2004 to 3.37 million in 2010 and decreased to 3.26 million in 2016. Benefitting from the raised standard value volume of the ESEV due to socioeconomic development, the total ESV of the study area increased from 7.81 billion yuan in 2004 to 13.44 billion yuan in 2010 and 17.68 billion yuan in 2016. The socioeconomic development and urbanization process led to a decline in the ESV's GDP share from 16.59% in 2004 to 5.83% in 2016. The growth of ESV in the study area lagged behind the growth of GDP. The ESD distribution tended to be higher in the east and lower in the south and lower in the north, and the trend lines in the east-west and north-south directions tended to ease gradually. The ESD distribution in the study area had significant spatial autocorrelation, spatial differentiation characteristics, spatial aggregation and scale effects. With the advancement of urbanization, ESD had a significant negative correlation with the research scale and separation distance. The ESD high-high-type areas were concentrated in the eastern and southeastern parts, while the ESD low-low-type areas were concentrated in the central and northern parts. Socioeconomic development and urbanization complement each other, resulting in the reduction in ecological land and the increasing scarcity of ecosystem service resources. However, socioeconomic development generates higher requirements for the quality of the ecological environment. Therefore, the increasingly sharp contradiction between supply and demand makes the same ecosystem service function increasingly valuable with socioeconomic development. In this paper, it is embodied in the rising \(D\) value. The total ESV in the urbanized area remained on an upward trend. China is experiencing a stage of rapid urbanization, and it is foreseeable that development will continue for some time in the future and may trigger an increasing amount of land use changes from natural landscapes to human-dominated landscapes. The ESV evaluation of land use changes realizes the compensation of ecological resources through monetary calculations of ecosystem service functions and benefits to provide an ecological-economic theoretical basis for land resource optimization and sustainable rational urbanization. The spatial-temporal differentiation of ecosystem service evolution in this paper makes use of the NRIDB's multisource data aggregation and spatial analysis and computing power by publishing the results as Web services and displaying them in the Visual Web Front-End. This is a practice of applying governmental systems to the research of natural resources and ecosystem services. However, the application of the research results in this paper is relatively shallow. Next, we will promote and apply the research results in this paper through the GHM Integrated Data Management Platform and TSPOM to provide a greater decision-making basis for comprehensive decision making and collaborative service applications, such as the collaborative allocation of natural resources and the collaborative protection of the environment, and seek to provide more abundant support for the development and construction of GHM. Conceptualization, Y.H. and Y.C. ; methodology, X.H. ; software, J.Y. and M.L. ; validation, Y.L. ; investigation, M.L. ; resources, X.C. and X.L. ; data curation, X.H. and R.Z. ; writing--original draft preparation, Y.H.