Spatial and temporal distribution of rural settlements and influencing mechanisms in Inner Mongolia, China

PLoS One. 2022 Nov 11;17(11):e0277558. doi: 10.1371/journal.pone.0277558. eCollection 2022.

Abstract

Revealing the patterns and influencing mechanisms of spatial and temporal distribution of rural settlements is crucial for rural revitalization and sustainable development. However, our limited understanding of the rural settlements in China's ethnic minority border areas has hindered the process of their agricultural and rural modernization. Based on data on rural settlements in Inner Mongolia, China in four periods between 1990 and 2020, this study reveals its spatial and temporal distribution characteristics and describes the dynamic transformation process of settlement. Using a geographical detector approach, 17 factors are explored to identify the influencing mechanisms of each factor on the distribution of rural settlements in different regions. The results show obvious regional differences in the spatial distribution of rural settlements in Inner Mongolia, with the largest kernel density values in the west (Hetao irrigation area) and higher kernel densities in the central (Hohhot) and the east (Chifeng and Tongliao). While rural population decreases, rural settlements expand into cultivated land, grassland, and unused land resources. Its spatial distribution is significantly influenced by the factors of distance to cultivated land, distance to towns, and population density. The east of the study area is mainly controlled by temperature, while vegetation type and vegetation coverage have a greater impact in the west. The interactions between two influencing factors possess bilinear or nonlinear enhancement relationships. This study enriches the understanding of the rural settlements in ethnic minority border areas, which provide reference for the improvement of rural human settlement environment in Inner Mongolia.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Ethnicity*
  • Geography
  • Humans
  • Minority Groups*
  • Rural Population

Grants and funding

This study was sponsored as a Key Joint Program of National Natural Science Foundation of China (NSFC) and Heilongjiang Province for Regional Development (No. U20A2082) (Shuying Zang) and a Natural Science Foundation of Heilongjiang Province of China (No. TD2019D002) (Shuying Zang), the funder had a role in decision to publish; a National Nature Science Foundation of Chian (No. 41761036) (Xiaoli Ning), the funder had a role in conceptualization and investigation; a Yellow River Basin ecological protection and high-quality development project of Baotou Teachers’ College, (No. BSYHY202207) (Haitao Zhou), the funder had a role in analysis, methodology, and writing—review and editing.