Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; Cultural Geography Research Group, Wageningen University & Research, Wageningen, 6708PB, Netherlands.
Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
J Environ Manage. 2023 Sep 15;342:118183. doi: 10.1016/j.jenvman.2023.118183. Epub 2023 May 22.
Tourism in ecological functional zones (EFZs) is rapidly becoming an increasing trend; however, its impact on ecosystem services remains poorly understood owing to the absence of a consistent quantification framework. This study uses the Taihang Mountains (THM), an EFZ in China, as an example to develop a framework for evaluating the direct and indirect impact pathways of scenic spots on the trade-offs between multiple ecosystem services by identifying the linkages between scenic spot development, socioeconomic change, land use transitions, and ecosystem services. The results show that the continued conversion of agricultural land, grassland, and forest to constructed land around scenic spots in 2000-2020 was accompanied by a decline in water yield (WY) and habitat quality (HQ); while food production (FP), carbon storage (CS), and soil retention (SR) increased. Land use and ecosystem service changes around scenic spots in the THM also exhibited significant spatial gradient effects. In particular, a 10-km buffer area was identified as a distinct "influence zone" where the ecosystem services trade-offs and land use changes were the most pronounced. In 2010, scenic spot revenue was the dominant factor that increased the trade-offs between SR with FP and CS via direct pathways. However, in 2020, the dominant factor was scenic spot level, which shifted the impact toward the relationship between CS and WY and HQ by intensifying the trade-offs to facilitating synergies. This was accomplished in an indirect manner, such as the facilitation of local population growth, industrial restructuring, and infrastructure development. This study reveals the varying effects of scenic spot development via different pathways, thereby providing useful insights for global EFZs to more precisely design policies that can adequately balance human activities with ecosystem services.
生态功能区(EFZ)的旅游活动正迅速成为一种增长趋势;然而,由于缺乏一致的量化框架,其对生态系统服务的影响仍不甚明了。本研究以中国太行山区(THM)为例,通过识别景区发展、社会经济变化、土地利用转换和生态系统服务之间的联系,开发了一个框架来评估景区对多种生态系统服务权衡的直接和间接影响途径。结果表明,2000-2020 年,景区周边农业用地、草地和林地持续转为建设用地,导致产水量(WY)和生境质量(HQ)下降;而粮食产量(FP)、碳储量(CS)和土壤保持(SR)增加。THM 景区周边的土地利用和生态系统服务变化也表现出显著的空间梯度效应。特别是,一个 10 公里的缓冲区被确定为一个明显的“影响区”,在这里,生态系统服务权衡和土地利用变化最为明显。2010 年,景区收入是通过直接途径增加 SR 与 FP 和 CS 之间权衡的主要因素。然而,在 2020 年,主导因素是景区级别,通过加强权衡以促进协同作用,将影响转移到 CS 与 WY 和 HQ 之间的关系上。这是通过间接方式实现的,例如促进当地人口增长、产业结构调整和基础设施发展。本研究揭示了景区发展通过不同途径的不同影响,从而为全球 EFZ 提供了有用的见解,以更精确地设计能够充分平衡人类活动与生态系统服务的政策。