城市公园生态系统文化服务评估方法研究综述
Research Review on Methods of Urban Park Cultural Ecosystem Services Evaluation
黄丽君 1宫聪1
作者信息
- 1. 重庆大学建筑城规学院,重庆 400030
- 折叠
摘要
城市绿地破碎导致的生态系统文化服务(Cultural Ecosystem Service,CES)供需失衡影响了城市的生态功能与居民福祉,城市公园CES的评估研究对城市可持续发展具有重要意义.通过梳理公园CES评估的相关概念,确定11类CES功能和价值评估、感知评估、供需评估三类评估视角,探讨了直接货币法、间接货币法、直接非货币法、间接非货币法4类19种,以及3类18种方法组合方式.结果表明:(1)整体趋势方面,公园CES评估的关注度逐年上升,但对功能类别关注度不均并缺乏社区公园与游园尺度的研究;(2)评估视角方面,感知评估的关注度远高于价值评估与供需评估,评估结果可比性不佳;(3)评估方法方面,呈现从单一评估模式转向更多元方法组合的趋势,强调阶段组合以构建高效灵活的评估框架,以及从多视角出发获得更全面的评估结果.
Abstract
The fragmentation of urban green spaces causes an imbalance in the supply and demand of cultural ecosystem services(CES),which affects the ecological functions and the well-being of urban residents.Evaluating CES in urban parks is crucial for sus-tainable urban development.By reviewing the relevant concepts of park CES assessment,11 types of CES functions and values,perception assessment,and supply-demand assessment perspectives were identified.The study explores four categories and 19 types of assessment methods,including direct monetary methods,indirect monetary methods,direct non-monetary methods,and indirect non-monetary methods,as well as three categories and 18 combinations of methods.The findings indicate:(1)Overall trend,the attention to park CES evaluations is increasing annually,but there needs to be more attention to CES categories and a need for more research at community and pocket parks.(2)Evaluation perspective,perception evaluations are much more focused on than value and supply-demand evaluations,resulting in limited comparability of results.(3)Evaluation methods,the trend is shifting from a single assessment model to a more diverse combination of methods,emphasizing the combination of stages to build a more efficient and flexible assessment framework and obtaining more comprehensive assessment results from multiple perspectives.
关键词
生态系统文化服务/评估方法/城市公园/功能分类/评估视角Key words
cultural ecosystem service/evaluation methods/urban park/categories/evaluation perspective引用本文复制引用
出版年
2024
NETL
NSTL
万方数据