Research on Local Ecosystem Cultural Services in the Jiangnan Water Network Rural Areas: A Case Study of the Ecological Green Integration Demonstration Zone in the Yangtze River Delta, China

被引:4
|
作者
Zuo, You [1 ]
Zhang, Lin [1 ]
机构
[1] Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China
基金
中国国家自然科学基金;
关键词
ecosystem cultural services; locality; rural areas; the MaxEnt model; K-means clustering; SUPPLY-AND-DEMAND; AESTHETIC VALUE; SOCIAL MEDIA; LANDSCAPE; GOVERNANCE; MANAGEMENT; FRAMEWORK; DYNAMICS; VILLAGE; FORESTS;
D O I
10.3390/land12071373
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ecosystem cultural services (CESs) are crucial for rural revitalization and sustainable development. As research on monitoring and mapping CESs continues to increase, there is a relative lack of research perspectives that effectively combine spatial modeling techniques with the local context of CESs in rural areas. Rural areas in China face challenges such as the encroachment of ecological service spaces and the displacement and relocation of their own cultural characteristics during the urbanization process. It is crucial to enhance our understanding of the relationship between CES characterization and rural locality. This paper established a framework for the quantitative research and spatial optimization of local CESs in rural areas. We selected the Ecological Green Integrated Development Demonstration Zone (EGIDZ) in the Yangtze River Delta as the research subject, considering its representativeness of the Jiangnan Water Network Area and the characteristics of integrated ecological development across regions. The Maxent model was utilized to integrate environmental variables with the locations of services, facilitating spatial mapping and quantitative evaluation of CESs, as well as determining the influence of each variable. Additionally, K-means clustering was employed to analyze CES combination patterns. The results indicated significant variations in mean values and spatial distribution within each CES category. The natural environment, spatial distance, and human activities factors all exhibited significant effects on shaping local CESs. Furthermore, the CES clusters were classified into three categories: CES-developed cluster, CES-developing cluster, and CES-potential cluster, accounting for 9.34%, 49.23%, and 41.44%, respectively. Based on these comprehensive findings, we provided insights into optimizing local CESs in the Jiangnan Water Network rural areas.
引用
收藏
页数:21
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