College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China.
School of Earth Systems and Sustainability, Southern Illinois University Carbondale, Carbondale, IL 62901, USA.
Int J Environ Res Public Health. 2023 Feb 28;20(5):4312. doi: 10.3390/ijerph20054312.
For mountainous areas in different regions, the study of the spatial coupling relationship between rural settlements and arable land resources is a key aspect of coordinated rural development. In this study, a spatial coupling relationship model and a Geodetector are introduced to explore the spatial coupling relationship and driving factors of rural settlements and arable land in the alpine canyon region. The nearest neighbor index, Voronoi diagram, and landscape pattern index system based on the geographic grid are used to analyze the spatial differentiation characteristics of rural settlements in the alpine canyon region, and the spatial coupling relationship model is introduced to explore the spatial coupling relationship between rural settlements and arable land. Finally, the driving factors of the coupling relationship are detected based on Geodetector. The results show that (1) the spatial distribution of rural settlements in the study area is "T-shaped" with a relatively regular settlement shape; (2) the population in the alpine canyon region is relatively small, and the conflict between people and land is not prominent in most areas, so the overall coupling situation between rural settlements and farming land is dominated by fewer people and more land; and (3) the spatial coupling between rural settlements and arable land in the alpine canyon region is mainly affected by four types of factors: terrain topography, meteorology, soil and population, and economy. The interaction between the factors has a synergistic enhancement effect. The results of the study provide theoretical support for the development of rural settlements in the alpine canyon region.
对于不同区域的山区而言，研究农村居民点与耕地资源的空间耦合关系是协调农村发展的关键。本研究引入空间耦合关系模型和地理探测器，探讨了高山峡谷区农村居民点与耕地的空间耦合关系及其驱动因素。采用最近邻指数、Voronoi 图以及基于地理格网的景观格局指数系统，分析高山峡谷区农村居民点的空间分异特征，引入空间耦合关系模型，探讨农村居民点与耕地的空间耦合关系。最后，基于地理探测器检测耦合关系的驱动因素。结果表明：（1）研究区农村居民点的空间分布呈“T”型，具有较为规则的居民点形态；（2）高山峡谷区人口较少，人地矛盾在大部分地区并不突出，因此农村居民点与耕地整体的耦合情况以人少地多为主；（3）高山峡谷区农村居民点与耕地的空间耦合主要受地形地貌、气象、土壤和人口经济等 4 类因素的影响，各因素之间存在交互作用，具有协同增强效应。本研究结果为高山峡谷区农村居民点的发展提供了理论支撑。
