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

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...

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Autores principales: Zhou, Haitao, Wang, Cuizhen, Bai, Yanru, Ning, Xiaoli, Zang, Shuying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9651545/
https://www.ncbi.nlm.nih.gov/pubmed/36367843
http://dx.doi.org/10.1371/journal.pone.0277558
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author Zhou, Haitao
Wang, Cuizhen
Bai, Yanru
Ning, Xiaoli
Zang, Shuying
author_facet Zhou, Haitao
Wang, Cuizhen
Bai, Yanru
Ning, Xiaoli
Zang, Shuying
author_sort Zhou, Haitao
collection PubMed
description 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.
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spelling pubmed-96515452022-11-15 Spatial and temporal distribution of rural settlements and influencing mechanisms in Inner Mongolia, China Zhou, Haitao Wang, Cuizhen Bai, Yanru Ning, Xiaoli Zang, Shuying PLoS One Research Article 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. Public Library of Science 2022-11-11 /pmc/articles/PMC9651545/ /pubmed/36367843 http://dx.doi.org/10.1371/journal.pone.0277558 Text en © 2022 Zhou et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhou, Haitao
Wang, Cuizhen
Bai, Yanru
Ning, Xiaoli
Zang, Shuying
Spatial and temporal distribution of rural settlements and influencing mechanisms in Inner Mongolia, China
title Spatial and temporal distribution of rural settlements and influencing mechanisms in Inner Mongolia, China
title_full Spatial and temporal distribution of rural settlements and influencing mechanisms in Inner Mongolia, China
title_fullStr Spatial and temporal distribution of rural settlements and influencing mechanisms in Inner Mongolia, China
title_full_unstemmed Spatial and temporal distribution of rural settlements and influencing mechanisms in Inner Mongolia, China
title_short Spatial and temporal distribution of rural settlements and influencing mechanisms in Inner Mongolia, China
title_sort spatial and temporal distribution of rural settlements and influencing mechanisms in inner mongolia, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9651545/
https://www.ncbi.nlm.nih.gov/pubmed/36367843
http://dx.doi.org/10.1371/journal.pone.0277558
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