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“碳汇-视觉-生态”协同视角下的社区 景观环境多元评价体系建构研究——以 武汉市高密度社区为例
江佩宜,戴菲,刘颂,文晨*,王璐琦
0
作者简介:1998年生/女/湖北武汉人/华中科技大学建筑与城市规划学院景 观学系在读博士研究生/湖北省城镇化工程技术研究中心/研究方 向为城市蓝绿空间碳汇、风景园林规划与设计(武汉 430074)
摘要:
高密度城区由于人口密集、建筑密布给社区生态空 间带来了应对破碎化和提升服务效能的挑战。如何在高密度环 境下考虑生态空间多功能协同的问题成为亟须研究的课题。旨 在以“碳汇-视觉-生态”协同视角,提出了一种多元评价体 系。选取武汉市高密度社区的800个样本点并建构15分钟生 活圈,运用计算机视觉分析景观视觉,通过景观指数和生态系 统服务方法评估生态功能,同时采用碳汇测定方法分析储碳 能力。利用生态系统服务簇(SOM)的理论方法,有效识别了 不同功能的组合情况协同效应。结果在空间中揭示了4类服务 簇:植被丰茂簇、碳汇连通簇、生态耦合簇和生态脆弱簇,并 据此给出了高密度社区景观环境的提升策略。提出的多元评价 体系能为高密度社区环境的优化提供指导,助力居民生活质量 提升。
关键词:  风景园林  生态空间  高密度  生态系统服务  碳 汇  景观视觉  提升策略
DOI:10.19775/j.cla.2024.04.0029
投稿时间:2023-12-23修订日期:2024-02-18
基金项目:国家自然科学基金项目“消减空气颗粒物的城市 灰绿空间‘源-流-汇’耦合模拟研究”(编号52178041)和 “‘自然途径’下滨江蓝绿空间的生态修复分区和优先级构建 研究——长江大保护武汉段为例”(编号52208060)共同资助
"Carbon Sink, Landscape Visions, and EcologicalFunctions": A Multifaceted Assessment forCommunity Ecological Spaces under a SynergisticPerspective—A Case Study of High-densityCommunities in Wuhan City
JIANG Peiyi,DAI Fei,LIU Song,WEN Chen,WANG Luqi
Abstract:
Urban areas with a dense population and concentrated buildings often face difficulties in dealing with landscape fragmentation and improving the ecological efficiency of green space. Examining the potential of green space to have synergies of multiple functions in densely populated area is now recognized as a vital field of study. The objective of this study is to present an in-depth assessment of green space by analyzing the interaction between carbon sink, visual features, and ecological functions. Taking high-density communities of Wuhan City as study cases, this research samples 800 points and creates a 15-minute living circle for each sampling point. It then uses computer vision to investigate landscape visual features, assesses ecological functions using multiple ecosystem services and landscape indexes, and assesses carbon sink using corresponding measurement techniques. The study discovers the synergistic effects of different functional combinations by applying the method of Ecosystem Services Cluster (SOM). The spatially-explicit findings show that there are four different types of service clusters: clusters with abundant vegetation, clusters linking carbon sink, clusters showing ecological coupling, and ecologically vulnerable clusters. These findings offer insights for improving the green spaces in densely populated areas. The suggested assessment framework provides guidelines for optimizing the green spaces in densely populated communities, therefore contributing to the improvement of the quality of life of residents.
Key words:  landscape architecture  ecological space  high-density  ecosystem services  carbon sink  landscape vision  improvement strategy

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