CN 11-5366/S     ISSN 1673-1530
“风景园林,不只是一本期刊。”

辽河流域文化遗产地理空间格局及时空适宜性演变

Geographical Spatial Pattern and Spatiotemporal Suitability Evolution of Cultural Heritage in the Liao River Basin

  • 摘要:
    目的 辽河流域作为多民族交汇与农牧交错带的关键区域,其文化遗产的时空分布规律是理解中华民族共同体形成的重要线索。
    方法 整合11 151处文化遗产点的ArcGIS空间数据,构建辽河流域文化遗产数据库;采用历史文献考证、核密度分析、标准差椭圆分析与经纬度峰峦值分析的方法,通过全局自相关分析文化遗产点的时空分布特征,结合局部自相关方法解析局部集聚异质性,解析自然-人文因素对文化遗产时空演变的驱动机制。
    结果 1)辽河流域文化遗产分布整体呈现南密北疏形态,沿辽河干流及支流呈带状集聚,95%的文化遗产点集中于海拔<500 m、坡度<6°且距河流<7 km区域;2)文化遗产分布中心由史前西辽河上游逐渐南迁至清代辽河平原;3)遗产点空间分布的适宜性演变整体呈自西向东、自北向南迁徙的趋势,东西两端逐渐向中部集中;4)遗产点时空分布的演变过程呈现聚集—散乱—集聚—极化4个阶段,与气候变化下各农牧民族的冲突、融合相关。
    结论 辽河流域文化遗产的动态适宜性演变为中华民族多元一体格局提供了流域尺度的物质证据,通过量化气候波动、政治扩张与民族互动的交互作用,揭示辽河流域文化遗产从被动适应到主动突破的演变机制,为流域尺度下多民族融合研究提供适宜的分析框架。

     

    Abstract:
    Objective This research examines the spatiotemporal distribution, evolutionary mechanisms, and sustainability of cultural heritage in the Liao River Basin, located in Northeast Asia. The focus is on the transitional zone between nomadic and agrarian civilizations, with the aim to: 1) Explore the geographic selectivity of cultural heritage distribution under environmental constraints; 2) quantify phased transitions driven by the interactions between climatic and institutional factors; 3) identify spatial clustering anomalies linked to ecological fragility; 4) develop a framework for cultural heritage conservation in ethnic convergence corridors. The research investigates how geographical, climatic, and institutional factors have shaped heritage landscapes and reveals how the interactions between these factors inform modern conservation practices.
    Methods A geospatial database has been utilized, encompassing 11 151 heritage sites across six categories such as ancient ruins, tombs, and buildings, as well as five historical periods ranging from prehistoric period to modern period. The data are analyzed using spatial statistical techniques and historical mapping, with the primary methods being described as follows: spatiotemporal analysis employs standard deviation ellipses and kernel density estimation to analyze distribution and density ; spatial autocorrelation analysis utilizes Global Moran’s I and Local Moran’s I to assess spatial clustering and dispersion; environmental modeling incorporates elevation and slope buffers as well as DEM-derived landforms to assess the influence of natural geography on the spatial distribution of heritage sites; historical layering analysis focuses on policy maps to track how institutional changes and infrastructure development influence the distribution of heritage sites. Multivariate regression and path analysis are used to quantify the effects of climatic and institution on the heritage evolution .
    Results  1) Distribution determinants: The majority of heritage sites (95.2%) are located in optimal environmental conditions: elevation: below 500 m (mean value: 217.3±134.8 m); slope: less than 6° (84.7% ranging from 0° to 3°); distance river: within 7 km from. Buffer zone analysis reveals that 63.9% of heritage sites are concentrated in areas with an elevation of 200–400 m, a slope of 2–5°, and a distance to river of 3–5 km. Neolithic sites cluster along the Xiliao River Valley (42.5°N), with kernel density peaking at 2.8 sites/km², reflecting favorable conditions for millet agriculture and early settlements.2)Phased Transition: Cold-Dry Shift (post-1000 CE): Climate deterioration led to a temperature drop of -1.2°C and a 15% decline in precipitation, compressing agricultural margins and shifting cultural heritage cores from 42.5°N to 41.5°N. This reflects how human settlements adapted to changing climate conditions. Institutional Catalysts: The Yuan Dynasty’s postal network expansion along the 123°E longitude line increased heritage site density by 180%, lowering ethnic dissimilarity indices from 0.68 to 0.41, indicating greater ethnic integration through institutional support. Polarization: Modern industrialization concentrated 74.3% of heritage sites in the Liaodong Plains, with a Moran’s I value of 0.32 (z92.61). In contrast, regions like the Horqin Sandy Land had site densities below 0.2 sites/km², highlighting significant cultural and environmental decline. 3)Clustering Dynamics: Global Moran’s I four distinct of clustering: initial aggregation, dispersion, re-aggregation, and strong polarization. 4)Institutional Drivers: The Qing government’s “Zhanchi” land reform system promoted agricultural expansion and helped overcome climatic constraints. This institutional innovation facilitated the movement of cultural heritage sites southward during the transitions from Liao to Yuan and Qing, underscoring the interaction between environmental stress and institutional responses. The expansion of imperial infrastructure, such as the postal network, also supported the concentration of heritage sites along major transport routes, highlighting the synergy between governance and heritage development.
    Conclusion The heritage landscape in the Liao River Basin demonstrates three key synergies. Eco-Institutional Coevolution: In history, the interactions between climatic thresholds and institutional innovations (e.g., Yuan postal network) shaped spatial patterns of ethnic integration and cultural heritage development, and climate change set the stage for policy adaptations that promoted ethnic convergence. Transitional Zoning: Based on the findings above, a tripartite conservation framework is proposed, comprising core reserves in the Liaodong Plains, ecological buffers along the Horqin fringe, and cultural corridors associated with historical postal routes. This framework aims to protect the region’s cultural heritage from the perspectives of both ecological degradation and modern industrial pressures. Validation of Pluralistic Unity: The basin-scale Global Moran’s I index suddenly rebounded to 0.157, empirically validating the theory of pluralistic unity, revealing nested clusters of Han-majority and ethnic-minority heritage that contribute to the formation of a shared national identity. This research introduces a dynamic conservation paradigm that integrates ArcGIS-based monitoring with adaptive governance, essential for the long-term sustainability of heritage sites in China’s borderland regions. The research’s findings also emphasize the importance of preserving the Liao River Basin’s heritage within a broader global context, offering a valuable insight for cultural heritage management in multi-ethnic, ecologically sensitive regions.

     

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