陈思琪, 钱芳, 周瑾, 丛扬. 海岸传统村落系统空间适应性判别及协同提升——以山东省典型地区为例[J]. 小城镇建设, 2024, 42(7): 59-67,77. DOI: 10.3969/j.issn.1009-1483.2024.07.008
引用本文: 陈思琪, 钱芳, 周瑾, 丛扬. 海岸传统村落系统空间适应性判别及协同提升——以山东省典型地区为例[J]. 小城镇建设, 2024, 42(7): 59-67,77. DOI: 10.3969/j.issn.1009-1483.2024.07.008
CHEN Siqi, QIAN Fang, ZHOU Jin, CONG Yang. Adaptation Identification and Collaborative Promotion for Coastal Traditional Villages: Taking a Typical Area of Shandong Province as an Excample[J]. Development of Small Cities & Towns, 2024, 42(7): 59-67,77. DOI: 10.3969/j.issn.1009-1483.2024.07.008
Citation: CHEN Siqi, QIAN Fang, ZHOU Jin, CONG Yang. Adaptation Identification and Collaborative Promotion for Coastal Traditional Villages: Taking a Typical Area of Shandong Province as an Excample[J]. Development of Small Cities & Towns, 2024, 42(7): 59-67,77. DOI: 10.3969/j.issn.1009-1483.2024.07.008

海岸传统村落系统空间适应性判别及协同提升——以山东省典型地区为例

Adaptation Identification and Collaborative Promotion for Coastal Traditional Villages: Taking a Typical Area of Shandong Province as an Excample

  • 摘要: 快速城镇化和气候变化背景下,海岸传统村落依赖的区域生态格局存在很大的不确定性,有必要强化传统村落自身的适应能力。文章以山东省典型地区为例,探讨基于适应性循环理论的海岸传统村落系统适应性提升途径。从区域生态格局和文化景观单元2个层面,村域单元属性、区域空间关联、动态演化趋势3个维度,构建评价指标体系判别海岸自然生态系统的时空演变趋势,识别传统村落单元所处适应性循环阶段,解析村落本体适应与区域生态的关系,进而提出协同提升途径。结果表明:1)城镇扩张是影响海岸带乡村生态本底的主要风险源;2)2000—2020年海岸传统村落适应性阶段演变整体经历了以释放阶段和同化阶段为主进入以发展阶段为主的跃升式循环过程;3)海岸传统村落系统的空间适应性可划分为高值、中高值、中值、中低值和低值5个等级;4)建议从分级、分类、历时3个方面提升海岸传统村落系统的适应能力。本研究旨在完善海岸遗产风险评估方法,并为传统村落的区域性保护提供新思路。

     

    Abstract: In the context of rapid urbanization and climate change, there is significant uncertainty in the regional ecological patterns upon which coastal traditional villages rely. It is necessary to enhance the adaptability of traditional villages from a regional perspective. Taking a typical area in Shandong Province as an example, this study explores pathways to enhance the adaptability of coastal traditional village systems based on the Adaptive Cycle Theory. This paper constructs an evaluation index system at two levels: regional ecological patterns and cultural landscape units. Within these levels, three dimensions are considered: village unit attributes, regional spatial correlations, and dynamic evolutionary trends. This system is designed to discern the spatiotemporal evolution trends of coastal natural ecosystems, identify the adaptive cycle stages of traditional village units, analyze the relationship between village adaptation and regional ecology, and propose collaborative enhancement strategies. The results indicate: Firstly, urban and rural construction land expansion is the primary source of risk affecting the ecological foundation of coastal rural areas. Secondly, from 2000 to 2020, the adaptive stages of coastal traditional villages underwent a leapfrogging cyclic process, primarily transitioning from the release and assimilation stages to the development stage. Thirdly, the spatial adaptability of coastal traditional village systems can be classified into five grades: high, medium-high, medium, medium-low, and low. Finally, it is recommended that the adaptability of coastal traditional village systems be improved from three aspects: classification, grading, and time series analysis This study aims to improve the risk assessment methods for coastal heritage and provide new ideas for the regional protection of traditional villages.

     

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