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珠江—西江经济带传统村落的空间格局及影响因素

Spatial patterns and influencing factors of traditional villages in the Pearl River-Xijiang River Economic Belt (PRXREB).

作者信息

Dai Meng, Huang Xiuli, Xu Yuanquan, Han Zhibo

机构信息

School of Physical Education and Health, Guangxi Normal University, Guilin, Guangxi, China.

Communist Youth League Committee, Guangxi Normal University, Guilin, Guangxi, China.

出版信息

PLoS One. 2025 Apr 18;20(4):e0321646. doi: 10.1371/journal.pone.0321646. eCollection 2025.

DOI:10.1371/journal.pone.0321646
PMID:40249737
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12007718/
Abstract

The spatial patterns and influencing factors of traditional villages are critical for their preservation and heritage. This study employs spatial analysis and geostatistical methods to explore the spatial distribution of national traditional villages within the PRXREB as of 2023. The results indicate an uneven and clustered distribution, identifying four distinct clusters within the region. The analysis shows that most traditional villages are located near major rivers and roads, as well as in areas with slopes less than 10°. Importantly, the distribution of traditional villages in the PRXREB is shaped by the interplay of multiple factors rather than isolated individual factors, the complex interplay between natural factors and socio-economic conditions likely shapes the sustainable development of traditional villages by affecting long-term economic development path. Particularly, some traditional villages in Guangxi with challenging natural environments face risks due to population loss and inadequate transportation infrastructure. We find that the spatial distribution of traditional villages is significantly positively correlated with the spatial distribution of regional population and various economic indicators. The per capita disposable income of urban residents (PIUR) is the most influential factor, and economic development helps promote the protection and inheritance of traditional villages, but there are also regional differences. Based on these insights, we propose targeted recommendations to support the sustainable development and conservation of traditional villages in the PRXREB.

摘要

传统村落的空间格局及影响因素对其保护与传承至关重要。本研究运用空间分析和地统计方法,探究截至2023年滇黔桂石漠化区国家级传统村落的空间分布情况。结果表明其分布不均衡且呈集聚状态,该区域内识别出四个不同的集群。分析显示,多数传统村落位于主要河流和道路附近,以及坡度小于10°的区域。重要的是,滇黔桂石漠化区传统村落的分布是由多种因素相互作用形成的,而非单一因素所致,自然因素与社会经济条件之间的复杂相互作用可能通过影响长期经济发展路径来塑造传统村落的可持续发展。特别是广西一些自然环境具有挑战性的传统村落,因人口流失和交通基础设施不足而面临风险。我们发现传统村落的空间分布与区域人口的空间分布及各项经济指标显著正相关。城镇居民人均可支配收入是最具影响力的因素,经济发展有助于推动传统村落的保护与传承,但也存在区域差异。基于这些见解,我们提出针对性建议,以支持滇黔桂石漠化区传统村落的可持续发展与保护。

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本文引用的文献

1
A study on the spatial distribution characteristics and driving factors of traditional villages in the southeast coast of China: A case study of Puxian, Fujian.中国东南沿海传统村落空间分布特征及驱动因素研究——以福建浦为例
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2
Spatio-Temporal distribution characteristics and driving factors of traditional villages in the Yellow River Basin.黄河流域传统村落的时空分布特征及驱动因素。
PLoS One. 2024 May 21;19(5):e0303396. doi: 10.1371/journal.pone.0303396. eCollection 2024.
3
Cultural landscape resilience evaluation of Great Wall Villages: A case study of three villages in Chicheng County.
长城村落文化景观韧性评价:以赤城县三个村落为例。
PLoS One. 2024 Apr 18;19(4):e0298953. doi: 10.1371/journal.pone.0298953. eCollection 2024.
4
The concept of participatory local sustainability projects in seven Chinese villages.中国七个村庄的参与式地方可持续发展项目概念
J Environ Manage. 2008 Apr;87(2):226-35. doi: 10.1016/j.jenvman.2006.09.026. Epub 2007 Aug 27.
5
Desertification: measuring population decline in rural Ireland.荒漠化:衡量爱尔兰农村地区的人口减少情况
J Rural Stud. 1994 Oct;10(4):395-407. doi: 10.1016/0743-0167(94)90049-3.