Accounting for Value Changes in Cultivated Land Resources within the Karst Mountain Area of Southwest China, 2001–2020

Abstract

Cultivated land resources are important natural resource assets that are related to food security and sustainable development. Due to the many restrictive factors of the karst landform on agricultural production, the quantity and quality of cultivated land in the karst mountainous areas in Southwest China are poor. Reclaiming cultivated land to develop economy or to avoid transitional reclamation to protect ecology is an important proposition in this area. Analyzing changes in the physical and monetary value of cropland resources can help us to formulate more reasonable policies for the development and utilization of cultivated land resources, and to achieve a win-win scenario for economic development and ecological protection. Using multi-source remote sensing data and 20-year landcover data obtained by the GEE platform, this paper evaluated the cropland resources of the karst mountain areas of China at the pixel level. It was found that under the apparent outflow of the physical account of the cultivated land resources, the monetary value still maintained growth, proving that the current cultivated land-use policy in Guizhou Province has significantly improved the value of local cultivated land resources.

How does land consolidation affect nongrain production? Evidence from county-level data in Jiangsu Province, China

“…Food security is a pressing global concern, and arable land that serves as a vital resource for producing grain is an essential prerequisite for food security [ 1 , 2 ]. The loss of high-quality arable land from rapid urbanization has raised considerable concerns regarding food security [ 3 ].…”

Impact of land use and land cover change on the landscape pattern and service value of the village ecosystem in the karst desertification control

“…Firstly, the research scale is generally significant. Most studies take provinces (Wang et al, 2022a;Liu et al, 2022;Zhang et al, 2022), cities (Hou et al, 2020;Chen and Huang, 2021) (Li et al, 2022), counties (Zhang et al, 2020;Zhang et al, 2021), watersheds (Yushanjiang et al, 2018;Wang et al, 2022b), ecological functional areas (Su et al, 2012), and specific landscape types areas (Zhang et al, 2011;Hou et al, 2020;Zhang et al, 2020) as research units. The data sources are mainly low-resolution remote sensing products.…”