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四川省传统村落的空间分布与影响因素研究

Spatial Distribution and Influencing Factors of Traditional Villages in Sichuan Province

  • 摘要: 四川省地处青藏高原与四川盆地的过渡带,地貌单元类型复杂多样、民族文化构成多元,其传统村落的空间格局及形成机制相较西南其他省份呈现出更为显著的复杂性。基于2012—2023年六批次国家级传统村落名录及多源空间数据,综合运用核密度分析、空间自相关分析、地理探测器与普通最小二乘回归(OLS)模型等方法,系统揭示四川省传统村落的空间分布特征及其影响机制。结果表明:(1)四川省传统村落整体呈显著集聚型分布,形成以盆地及丘陵区雅安—眉山—乐山、广元—巴中、自贡—泸州为核心的三个高密度集聚区,以及分布于川西高原的若干次级集聚区,整体呈现“多核集聚、高原延续”的空间格局;(2)文化遗产基础(q=0.167)、高程(q=0.139)与交通区位(q=0.097)对传统村落空间分异具有较强解释力,而社会经济因素在单因子探测中整体解释力相对有限;(3)多因素交互作用普遍强于单一因子效应,尤其是高程与文化遗产基础、交通区位及经济发展水平(GDP)等因子的交互呈现显著非线性增强特征,揭示了自然环境约束与历史文化积累、社会经济条件协同驱动传统村落空间格局形成的复合机制。研究结果可为四川省传统村落分区保护与活态传承提供科学依据。

     

    Abstract: Sichuan Province is located in the transitional zone between the Qinghai–Tibet Plateau and the Sichuan Basin, characterized by complex landform units and a diverse ethnic composition, which makes the spatial pattern and formation mechanisms of traditional villages more complex than those in other southwestern provinces of China. Based on six batches of the national list of traditional villages from 2012 to 2023 and multi-source spatial data, this study employs kernel density analysis, spatial autocorrelation analysis, the Geodetector model, and ordinary least squares (OLS) regression to systematically reveal the spatial distribution characteristics and influencing mechanisms of traditional villages in Sichuan Province.The results indicate that: (1) traditional villages in Sichuan Province exhibit a significant clustered distribution, forming three major high-density core areas in the basin and hilly regions—Ya'an–Meishan–Leshan, Guangyuan–Bazhong, and Zigong–Luzhou—as well as several secondary clusters in the western plateau, resulting in a spatial pattern of "multi-core agglomeration with plateau continuity"; (2) Cultural heritage foundations (q = 0.167), elevation (q = 0.139), and transportation accessibility (q = 0.097) exhibit relatively strong explanatory power for the spatial differentiation of traditional villages, while socio-economic factors display comparatively weaker explanatory effects when examined individually. (3) Multi-factor interactions generally exhibit stronger explanatory power than single-factor effects, particularly the significant nonlinear enhancement effects of interactions between elevation and cultural heritage foundation, transportation accessibility, and economic development level (GDP), revealing a coupled driving mechanism in which natural environmental constraints, historical-cultural accumulation, and socioeconomic conditions jointly shape the spatial pattern of traditional villages. These findings provide a scientific basis for zonal conservation and living heritage preservation of traditional villages in Sichuan Province.

     

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