干旱地区近43年农村居民点时空演变特征及驱动机制

Spatial and Temporal Evolution Characteristics and Driving Mechanism of Rural Settlements in Arid Areas in Past 43 Years

  • 摘要:
    目的 通过揭示农村居民点演变与地形地貌、人文条件的响应机制,可为生态移民安置、居民点撤并等国土空间优化工程提供选址依据,缓解人地矛盾。
    方法 以典型干旱地区呼和浩特市为例,采用景观格局指数、核密度估计、空间自相关及土地利用转移矩阵等方法,系统分析1980 ~ 2023年农村居民点规模和形状、核密度、空间关联程度及用地转移特征的时空演变规律;结合景观指数与缓冲区分析,运用地理探测器从景观生态学视角探讨主导驱动因子。
    结果 农村居民点规模、形状总体呈增长趋势,旗县农村居民点规模大于城区,但变化幅度小于城区;形成多个高密度聚集区,呈“中部、东北密,南部、西北疏”特征;农村居民点面积存在显著空间正相关性,高-低和低-高集聚类型分布较稳定,而高-高和低-低集聚类型分别呈扩张和缩减趋势;新增农村居民点主要来自耕地、草地及未利用地;第一产业值、农林牧渔总值、城镇化率、乡村人口、距县城距离及高程是影响农村居民点分布的主要因素,距河流、道路距离及坡度是重要因素。此外,政策调控对农村居民点演变产生了显著影响。
    结论 针对农村居民点时空分异特征及主导因子分析,未来应加强因地施策,以推进干旱区和美乡村建设。

     

    Abstract:
    Objective The aims were to reveal the response mechanism of the evolution of rural settlements to topography and human conditions, in order to provide a basis for site selection for land space optimization projects, such as ecological resettlement and settlement withdrawal, and to alleviate the contradiction between people and land.
    Method Taking Hohhot, a typical arid area, as an example, the spatial and temporal evolution of the scale and shape, kernel density, spatial correlation degree and land use transfer characteristics of rural settlements from 1980 to 2023 were systematically analyzed by means of landscape pattern index, kernel density estimation, spatial autocorrelation and land use transfer matrix. Combined with landscape index and buffer analysis, the geographical detector was used to explore the dominant driving factors from the perspective of landscape ecology.
    Result The scale and shape of rural settlements showed an overall growth trend. The scale of rural settlements in Qixian County was larger than that in urban areas, but the change range was smaller than that in urban areas. A number of high aggregation core areas were formed, showing the characteristics of central and northeast dense, south and northwest sparse. There was a significant spatial positive correlation in the area of rural settlements. The distributions of high-low and low-high agglomeration types were relatively stable, while the high-high and low-low agglomeration types showed an expansion and reduction trend, respectively. The new rural settlements were mainly from cultivated land, grassland and unused land. The primary industry value, the total value of agriculture, forestry, animal husbandry and fishery, the urbanization rate, the rural population, the distance from the county and the elevation were the main factors affecting the distribution of rural settlements. The distance from rivers, roads and slopes were important factors. In addition, policy regulation had a significant impact on the evolution of rural settlements.
    Conclusion In view of the spatial and temporal differentiation characteristics of rural settlements and the analysis of dominant factors, it was necessary to strengthen local policies in the future to promote the construction of arid areas and beautiful villages.

     

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