Spatiotemporal patterns and influencing factors of rural multifunctionality in the Yellow River Basin——A case study of Shaanxi Province

ZHAO Xinzheng; WANG Zhe; SHI Haijin; LI Peiqing

doi:10.16152/j.cnki.xdxbzr.2025-04-003

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Spatiotemporal patterns and influencing factors of rural multifunctionality in the Yellow River Basin——A case study of Shaanxi Province

Ecological conservation and high-quality development of the Yellow River Basin | 更新时间：2025-09-03

- Spatiotemporal patterns and influencing factors of rural multifunctionality in the Yellow River Basin——A case study of Shaanxi Province
- Journal of Northwest University (Natural Science Edition) Vol. 55, Issue 4, Pages: 709-725(2025)
- 作者机构：
  
  1.西北大学　城市与环境学院，陕西　西安　710127
  2.西北大学　陕西省黄河研究院，陕西　西安　710127
  3.陕西省情研究院，陕西　西安　710127
  4.陕西省地表系统与环境承载力重点实验室，陕西　西安　710127
- 作者简介：
- 基金信息：
- DOI：10.16152/j.cnki.xdxbzr.2025-04-003
  CLC： K901
- Received：13 June 2025，
  
  Published：25 August 2025
- 稿件说明：
移动端阅览
ZHAO Xinzheng, WANG Zhe, SHI Haijin, et al. Spatiotemporal patterns and influencing factors of rural multifunctionality in the Yellow River Basin——A case study of Shaanxi Province[J]. Journal of northwest university (natural science edition), 2025, 55(4): 709-725.
DOI：

ZHAO Xinzheng, WANG Zhe, SHI Haijin, et al. Spatiotemporal patterns and influencing factors of rural multifunctionality in the Yellow River Basin——A case study of Shaanxi Province[J]. Journal of northwest university (natural science edition), 2025, 55(4): 709-725. DOI： 10.16152/j.cnki.xdxbzr.2025-04-003.

摘要

推动黄河流域乡村地域多功能协同发展是实现片区乡村振兴和建设宜居宜业和美乡村的关键路径。以陕西省107个县区为研究单元，选取2010、2015和2020年3个时间节点，构建乡村多功能评价体系，运用主客观赋权法与地理探测器，分析功能的时空演化及主导功能类型的驱动机制。研究发现：①乡村多功能高值区空间格局呈现异质性特征，农业生产功能向“多点散布+团簇状”演化，非农生产功能演化具有“多点镶嵌”特征，生活保障功能稳居关中与陕北非市辖区，生态保育功能“南高北低”并呈现“高低同减”的趋势；②基于优势功能现状与相互作用，将主导功能类型划分为4大类12亚类，组合由单一向多元转型；③单因子探测发现，双功能主导型受驱动因素较少但影响更强，交通、生产条件、市场化等因素是弱综合型功能提升的主要制约。交互作用显示，因子间交互具有显著增强效应，呈非线性或双因子增强特征。研究结果可以为陕西省乃至黄河流域片区未来乡村发展功能定位和策略制定提供科学依据与决策支持。

Abstract

Promoting the coordinated development of rural multifunctionality in the Yellow River Basin is a key pathway toward achieving regional rural revitalization and building a livable

business-friendly

and aesthetically pleasing countryside. Using 107 counties and districts in Shaanxi Province as the basic research units and selecting the years 2010

2015

and 2020 as temporal nodes

this study constructs a rural multi-functionality evaluation system. By integrating subjective and objective weighting methods with the GeoDetector model

it explores the spatiotemporal evolution of rural functions and the driving mechanisms behind dominant functional types. The research results reveal 3 findings. ① High-value multifunctional areas exhibit significant spatial heterogeneity. Agricultural production functions have evolved into a "multi-point scattered + clustered" pattern; non-agricultural production functions show a "multi-point mosaic" pattern; livelihood security functions remain stable in non-central areas of Guanzhong and northern Shaanxi; and ecological conservation functions display a "high in the south

low in the north "distribution

with a trend of "simultaneous decline in both high and low values." ② Based on current dominant functions and their interactions

dominant functional types are categorized into four major classes and twelve subtypes

reflecting a transition from single-function dominance to multifunctional integration. ③ Univariate factor detection indicates that dual-function dominant areas are influenced by fewer driving factors

yet these factors exert stronger effects. Transportation accessibility

production conditions

and the degree of marketization are key constraints limiting the enhancement of weakly integrated multifunctional areas. Interaction analysis reveals significant synergistic effects among influencing factors

characterized by nonlinear enhancement and bivariate enhancement patterns. The findings of this study can provide a scientific basis and decision-making support for the future functional orientation and strategic planning of rural development in Shaanxi Province and the broader Yellow River Basin region.

关键词

Keywords

references

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