In China, the rural human settlement system (RHSS) reflects the relationship between rural people and land but is affected by land use and land cover change (LUCC). Maintaining a harmonious development between RHSS resilience (RHSSR) and LUCC is an important rural development issue. However, the spatial association between LUCC and RHSSR remains unclear, constraining effective land use and rural policymaking. The association between RHSSR and LUCC was assessed from a spatial perspective. Using county-level spatial panel data for Hunan Province, China (2000–2020), an evaluation indicator system was established to measure RHSS and analyze the spatiotemporal evolution of RHSSR using a geospatial analysis and geodetector model. The average RHSSR level increased from 0.158 to 1.406. The RHSSR generally presented a three-level stepped spatial distribution feature of high in the east and low in the west, with a belt-like distribution. Additionally, the RHSSR was consistent with land use intensity (LUI), but there was significant spatial heterogeneity in the spatial relationship between LUI and RHSSR. The evolution of RHSSR occurred through industrial development, medical service improvement, increased income, and environmental protection. This has important implications for future rural development strategies, the sustainable development of rural land, and the integration of RHSS into regional planning.
The spatial restructuring of rural settlements is conducive to the realization of rural transition and development. This study constructed a “point-line-surface” framework for the spatial reconstruction of the homestead in a typical mountain village and used the weighted Voronoi diagram and buffer analysis method to analyze. The results are as follows. (1) The development capacity of rural homesteads in Longfeng Village was divided into three levels: high, medium, and low. Among them, the high-level homesteads clustered in the north and south of the village in the form of a “T” and a long strip, respectively; the medium-level homesteads are mostly aggregated in the middle of the village; the low-level homesteads are mainly distributed along the Fenghuang Mountain. (2) The layout of homesteads in Longfeng Village was axis-oriented, which is manifested by the number and scale being in a gradient-decreasing pattern with the main road axis as the centerline. (3) According to the principle of “maximum” development capacity of the homestead, nine reconstruction units are divided. By calculating the location entropy, it is found that the dominant functions of each reconstruction unit mainly include supporting life services, operational production, ecological agricultural production, and traditional agricultural production, and there are obvious differences in the development patterns of homesteads in different functional units. (4) Based on the “point-line-surface” characteristics of the homestead, four reconstruction modes, namely, modern community type, field and garden integration type, road-pointing type, and traditional residential type, are summarized, and the reconstruction strategies are proposed accordingly. The “point-line-surface” framework of rural settlements is of practical significance and theoretical value, which can provide a decision-making reference for the optimization and reorganization of residential land space in villages of the same type in mountain areas. Moreover, the integrated and innovative framework proposed in the paper has also international significance, thanks to the possibility of replicating the research strategy and methodological approach in other contexts.
Cropland abandonment (CA) is a critical environmental issue globally, with balancing food security and ecological protection vital for sustainable development. This study explores CA behavior differences and drivers between out-of-poverty farming households (OPFHs) and non-poverty farming households (NPFHs) in China′s mountainous areas, using stepwise regression on survey data from 321 households in Liping County, Guizhou. The results show that: (1) The differences in CA behaviors between the two types of farming households are mainly reflected at the farmer level and the plot level. Plot integrity is a common influencing factor of CA areas for both types of farming households. (2) The driving factors affecting the area of CA by OPFHs also include the average age of the labor force, the proportion of the resident population in the total household registration population, and plot type, while the drivers affecting the area of CA by NPFHs include per capita income, non-agricultural income, per capita cropland area, and commuting time. (3) The differences in CA behavior and its driving factors between OPFHs and NPFHs in mountainous areas are characterized by diversity and interaction. Based on the results of the study, we propose the management of farming households and cropland, which can contribute to rural revitalization in China and the world, to a certain extent.