Li Li, Feng Rundong, Hou Guoling, Xi Jianchao
School of Geographical Science, Nanjing Normal University, Nanjing, Jiangsu, 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, Jiangsu, 210023, China.
Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, China; Future Urbanity & Sustainable Environment (FUSE) Lab, Division of Landscape Architecture, Department of Architecture, Faculty of Architecture, The University of Hong Kong, 999077, Hong Kong Special Administrative Region of China.
J Environ Manage. 2025 Sep;392:126914. doi: 10.1016/j.jenvman.2025.126914. Epub 2025 Aug 11.
Cultural ecosystem services, particularly recreation and ecotourism, play a crucial role in the socio-economic development of ecologically significant regions. However, current research on the spatial patterns of cultural ecosystem service flows (CESF) and the underlying driving mechanisms remains limited. This study quantified the spatial patterns of tourism-related CESF and its driving mechanisms by integrating spatial analysis, breaking point model, and Geodector in the ecological functional zone of the Taihang Mountains. Results showed that the CESF exhibits a spatial gradient from the foothills to the mountaintops. The analysis revealed distinct spatial drivers of CESF, with socio-economic factors demonstrating stronger explanatory power (q-value = 0.69) than natural factors (q-value = 0.52). Specifically, number of attractions (q-value = 0.73) and tourism revenue (q-value = 0.71) emerged as the dominant socio-economic drivers, while topographic elevation (q-value = 0.58) represented the most influential natural constraint. Moreover, the interaction between natural and socio-economic factors had a higher explanatory power than any single factor, and CESF is dominated by the interactions of tourism revenue, the number of attractions, and population density (q-value = 0.81). To enhance the balance and coordination of CESF, the management of cultural ecosystem services in ecological functional zones should consider the natural environment as a foundation while also coordinating tourism elements within the socio-economic system, such as the distribution of attractions and tourists' interests.
文化生态系统服务，特别是休闲娱乐和生态旅游，在生态重要地区的社会经济发展中发挥着关键作用。然而，目前关于文化生态系统服务流（CESF）的空间格局及其潜在驱动机制的研究仍然有限。本研究通过整合空间分析、断裂点模型和地理探测器，对太行山生态功能区与旅游相关的CESF的空间格局及其驱动机制进行了量化。结果表明，CESF呈现出从山麓到山顶的空间梯度。分析揭示了CESF不同的空间驱动因素，其中社会经济因素的解释力（q值 = 0.69）强于自然因素（q值 = 0.52）。具体而言，景点数量（q值 = 0.73）和旅游收入（q值 = 0.71）是主要的社会经济驱动因素，而地形海拔（q值 = 0.58）是最具影响力的自然限制因素。此外，自然因素与社会经济因素之间的相互作用比任何单一因素都具有更高的解释力，且CESF主要由旅游收入、景点数量和人口密度的相互作用主导（q值 = 0.81）。为了增强CESF的平衡与协调，生态功能区文化生态系统服务的管理应以自然环境为基础，同时协调社会经济系统中的旅游要素，如景点分布和游客兴趣。
