###### Abstract
Moreover, studies indicate that climate change directly impacts biological communities by altering temperature, precipitation, and other factors, further disrupting ecosystem services' capacity [19]. With the exacerbation of the conflict between eco-environment and socio-economic development, the pressing question arises: Can limited natural resources and fragile ecosystems sustain long-term socio-economic development worldwide? This emerges as a critical scientific challenge requiring urgent resolution. Since the advent of industrial civilization, rapid economic development, unbridled resource consumption, and unchecked development have spawned a plethora of eco-environmental challenges, including ecosystem degradation, biodiversity loss, and the weakening of ecosystem services, thereby posing serious threats to human survival and development [20; 21; 22]. Ecosystem services valuation serves as a crucial tool for assessing the efficacy of ecological protection and holds significant reference value for regional ecological compensation [23; 24; 25; 26], ecological security pattern construction [27], and ecological civilization construction [28]. Hence, quantitatively examining the influence of LUTs on the ecosystem services value is imperative for coordinating regional sustainable development. The evaluation of the ecosystem services value (ESV) has emerged as a frontier and prominent issue since Costanza's pioneering global ESV assessment in 1997 [2]. Scholars have closely monitored this field, tracking dynamic changes in global ESV [29; 30; 31; 32]. For instance, [PERSON] et al. (1999) conducted an initial estimation of China's terrestrial ESV [33]; [PERSON] et al. (2003) evaluated the ecological assets of the Qinghai-Tibet Plateau and established per-unit-area service value tables for terrestrial ecosystems in China, which were subsequently revised [34], and then constantly revised the equivalent scale [35]. [PERSON] et al. (2020) analyzed the impact of land-use dynamic changes on the ecosystem services value in the Abaya-Chamo basin in southern Ethiopia using local and global ecosystem services value coefficients [36]. Additionally, scholars have extensively discussed how drastic land-use changes and climate change induce ecosystem degradation and affect the ecosystem services value [19; 37; 38; 39; 40; 41]. Analysis of the existing academic literature reveals that many researchers have employed the ecosystem services valuation method proposed and refined by [PERSON] et al. (1997) and [PERSON] et al. (2015) to assess ESs across various ecological units and spatio-temporal scales [9]. This approach has yielded substantial findings and advanced the research on ecosystem services valuation, offering a valuable framework for our study. However, existing literature requires improvements in several key areas. Firstly, it is widely acknowledged that the evolutionary trajectory of land use influences changes in ESV. While many studies analyze the spatio-temporal patterns of land-use transitions (LUTs) using models such as the land-use dynamic degree model, CLUE-S model, and landscape pattern index, these methods only partially integrate spatial and temporal aspects. Consequently, LUTs results lack visual representation, and non-spatial attribute data are inadequately expressed in terms of spatial location. Therefore, there is a critical need for a spatio-temporal composite analysis method capable of visually and dynamically illustrating LUTs processes through mapping units. Geo-informatic Tupu was first proposed in 2000 by the Chinese scholar [PERSON] [42], who has since completed and improved the relevant aspects of the methodology by publishing a series of articles and books [43]. Geo-informatic Tupu, a spatio-temporal compound analysis approach, fulfills this need by visually representing the changing geographical elements through Tupu units [44,45]. Thus, this study aims to employ the geo-informatic Tupu method to spatially delineate LUTs.