摘要
城市绿色空间作为缓解“城市病”的重要自然解决方案,因其在提供生态系统服务方面的显著作用而备受关注。然而,现有研究对城市绿色空间生态系统服务的评估多局限于二维空间特征,对三维结构特征及其生态系统服务效应的评估存在不足,难以全面、准确地揭示绿色空间对居民福祉提升的实际贡献。本文系统梳理了城市绿色空间生态系统服务的现有评估方法,深入分析二维空间评估方法的局限性,并重点探讨了新兴技术(如激光雷达、街景图像和人工智能算法等)在三维空间评估中的应用进展。基于此,本文提出了融合新兴技术与城市绿色空间生态系统服务三维评估的创新研究框架,并针对当前技术在数据处理效率以及多尺度应用方面的挑战,探讨了未来研究的发展方向,以期为城市绿色空间的精细化管理和可持续发展提供理论支持和实践参考。
Urban green spaces,as a crucial nature-based solution to mitigate“urban diseases”,have received significant attention due to their pivotal role in providing ecosystem services.Available studies on the assessment of ecosystem services in urban green spaces predominantly rely on two-dimensional spatial characteristics,with insufficient exploration of three-dimensional structural attributes and their associated ecosystem service effects,which makes it difficult to comprehensively and accurately reveal the actual contribution of green space to enhance residents’well-being.We systematically reviewed current methods in assessing ecosystem services in urban green spaces,critically analyzed the limitations of two-dimensional spatial assessment approaches,and highlighted the application of emerging technologies(e.g.,LiDAR,street view imagery,and artificial intelligence algorithms)in three-dimensional spatial evaluation.Then,we proposed an innovative framework integrating advanced technologies with three-dimensional assessment of urban green space ecosystem services,and discussed future research directions to address the challenges of current technologies,particularly in terms of data processing efficiency and multi-scale applications,aiming to provide theoretical support and practical guidance for the refined management and sustai-nable development of urban green spaces.
作者
邓琪鹏
刘耕源
杨青
常玮岑
陈钰
DENG Qipeng;LIU Gengyuan;YANG Qing;CHANG Weicen;CHEN Yu(State Key Laboratory of Regional Environment and Sustainability,School of Environment,Beijing Normal University,Beijing 100875,China;Advanced Interdisciplinary Institute of Environment and Ecology,Guangdong Provincial Key Laboratory of Wastewater Information Analysis and Early Warning,Beijing Normal University,Zhuhai 519087,Guangdong,China)
出处
《应用生态学报》
北大核心
2025年第8期2541-2551,共11页
Chinese Journal of Applied Ecology
基金
国家自然科学基金重点项目(52430003)
中央高校基本科研业务费专项资金资助。
关键词
绿色基础设施
生态网络
空间结构
多源数据
人工智能
green infrastructure
ecological network
spatial structure
multi-source data
artificial intelligence
