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Revealing the multidimensional value of cultivated land resources, improving calculation methods, and exploring their spatial distribution characteristics and influencing factors are crucial for the enhancement of natural resource accounting systems and the protection of cultivated land resources. This study takes Guangxi, China, as an example and constructs a comprehensive multidimensional value evaluation system for cultivated land resources at the county scale. The income capitalization method, substitution market method, and value equivalent correction method were applied to calculate the economic, social, and ecological values of cultivated land resources in 111 counties in 2020. Furthermore, spatial autocorrelation analysis was employed to study their distribution characteristics and influencing factors. The results show that: (1) In 2020, the total value of cultivated land resources in Guangxi was USD 2859.3 billion, with the economic, social, and ecological values were USD 1674.2 billion, USD 417.7 billion and USD 767.3 billion USD, respectively. (2) The economic and social value of cultivated land per hectare at the county scale in Guangxi demonstrates similar spatial distribution patterns. High-value counties exhibit a strip-like distribution along the eastern edge, following a north–south orientation, while low-value counties form clusters in the central and western regions. (3) There is a significant spatial clustering effect of all values of cultivated land resources in local space, with “high-high” and “low-low” clustering. (4) The level of economic development in counties has a negative impact on the ecological value of cultivated land resources, while it has a positive impact on their social value. (5) Natural conditions, agricultural infrastructure conditions and agricultural development approaches are the key factors affecting the value of cultivated land resources.

Limited soil and water resources in a sloping karst trough valley have negatively affected the local population and ecosystem health. A deeper understanding of karst ecosystem health and its driving mechanism are important for ecosystem management and restoration. In recent decades, the karst trough valley has been exposed to multiple threats from various natural and anthropogenic factors. Assessment of which is essential to understand the state of the karst ecosystem and to develop a suitable, scientifically proven management strategy. Based on the pressure‐state‐response‐subsystem‐system (PSR‐SS) model, the restored ecosystem health of karst trough valley was assessed from 2000 to 2015 at the grid scale. The principal component analysis (PCA) method was adopted to explore the factors driving ecosystem health change. It is found that from the years of 2000 to 2015, there was an improvement in ecosystem health in karst trough valley ecosystem. Land use analysis maps indicate a slight decrease in woodland and grassland and increase in cropland and urban buildup, and the Land coverage increased from 84.87% to 87.64%. The area of karst rock desertification decreased by 75.3 km2 from 2000 to 2015. The AEH indices of 0.27 (2000), 0.45 (2005), 0.46 (2010) and 0.68 (2015), which indicate moderate warning, pre‐warning, early warning and generally healthy, respectively. The 17 selected driving factors were grouped into two broad categories by PCA, one is national policy, and the other one is natural condition and local activities. National policy was to be found the most important influence on ecosystem health. Our findings emphasize the key role of government in ecosystem health change, which would give directions to the sustainable development of karst trough valley areas. [ABSTRACT FROM AUTHOR]