School of landscape architecture, Beijing Forestry University, Beijing 100083, China.
Department of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, China.
Sci Total Environ. 2024 Dec 1;954:176328. doi: 10.1016/j.scitotenv.2024.176328. Epub 2024 Sep 17.
With complex topography and geomorphology, mountainous cities possess abundant natural resources. They are constrained by ecological environment and topographic conditions, leading to a prominent contradiction between urbanization development and ecological protection. As a result, ecosystem services (ESs) are under greater regulatory pressure. The identification of ecosystem services bundles (ESBs) can be the foundation for developing zonal ecological protection planning policies. We took Chongqing as a case study, investigated the impact mechanisms of socio-ecological factors on the level of ES supply in each ESB. The findings reveal that: (1) The quantitative assessment of ESs for 2000, 2010, and 2020 showed that ESs were temporally stable and spatially heterogeneous. Areas with high supplies of food production (FP) and water yield (WY) were predominantly found in the northwestern cropland and urban built-up regions, whereas high supply areas for the other four ESs were primarily located in the northeastern Dabashan Mountains and the southern Wuling Mountains. (2) The quantification of trade-offs and synergies between ESs showed that FP had a trade-off effect with all five other ESs, while most other ES pairs exhibited synergistic effects. It was found that the interrelationships produced changes over time. (3) Then, three types of ESBs were identified. After examining the influence mechanisms of socio-ecological factors across the three ESBs, individual ESs were found to have essentially the same types of main impact factors in three ESBs, but varies in impact. (4) Finally, with reference to changes in ES levels and interrelationships and the driving mechanisms of socio-ecological factors in each zone, this study proposed zonal strategies for managing ecosystem services and optimizing territorial space based on the geographic characteristics and socio-economic development in different ESBs, with the goal of attaining sustainable urban development and improving human welfare.
山地城市地形地貌复杂,自然资源丰富,但受生态环境和地形条件约束,城市化发展与生态保护矛盾较为突出,生态系统服务承受较大调控压力。生态系统服务束的识别可为制定分区生态保护规划政策提供基础。以重庆市为例,探讨了社会-生态因素对各服务束生态系统服务供给水平的影响机制。结果表明:① 2000、2010 和 2020 年生态系统服务定量评估表明,生态系统服务时空稳定性强,空间异质性明显。食物生产(FP)和产水量(WY)高值区主要分布在西北部耕地和城市建成区,而其他 4 项服务的高值区主要分布在东北部大巴山和南部武陵山区。② 生态系统服务权衡与协同关系定量表明,FP 与其他 5 项服务均呈权衡关系,其他服务对多呈协同关系,且这种关系随时间变化而变化。③ 识别出 3 种生态系统服务束,进一步分析各束内社会-生态因素影响机制发现,3 种服务束内各单项生态系统服务主要影响因素类型基本相同,但影响程度不同。④ 最后,根据各分区生态系统服务水平和关系变化以及社会-生态因素驱动机制,提出了基于不同服务束地理特征和社会经济发展的分区生态系统管理和优化国土空间策略,旨在实现可持续城市发展和提高人类福祉。