| 摘要: |
| 评估文化生态系统服务(CES)在空间上的供需平衡
状况是将生态系统服务与人类福祉联系起来的关键。然而其无
形性特征使其在空间上难以量化，因此在生态系统服务评估中
常常被人们所忽视。基于社交媒体照片，整合多源数据，利
用ArcGIS和MaxEnt模型，对苏州市内审美服务、历史文化
服务、休闲娱乐服务3类CES的供需平衡状况进行了制图与评
估。研究表明：苏州市供需失衡特征明显，其中历史文化类
CES失衡区域面积占比最大，高达48.1%，其次审美类失衡
区域面积占比38.4%，而休闲娱乐类失衡区域面积占比则为
37.0%。在景区尺度上通过CES供需失衡分析，依据不同的失
衡类型提出旅游地的CES供需空间调配的策略，进而为景观规
划设计人员与地方决策者提供可践行的指导，以实现旅游空间
结构优化及区域保护与开发的协同。 |
| 关键词: 风景园林 文化生态系统服务 多源数据 MaxEnt模型 空间制图 供需平衡 |
| DOI： |
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| 基金项目: |
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| Research on the Supply and Demand Evaluationand Optimization of Cultural Ecosystem ServicesBased on Social Media Data: Taking Suzhou as anExample |
| LIANG Qifan,LI Chang,LIN Beiduo,ZHAI Jun |
| Abstract: |
| Evaluating the balance between the supply and demand
of cultural ecosystem services (CES) in space is the key to linking
ecosystem services to human well-being. However, because its
invisibility is difficult to quantify, it is often ignored in ecosystem
service evaluation. Based on social media photos, integrating
multisource data, and using ArcGIS and the MaxEnt model, this
paper maps and evaluates the supply and demand balance of three
CES of aesthetic services, historical and cultural services, and
leisure and entertainment services in Suzhou. The result shows
that the imbalance between supply and demand in Suzhou is
obvious, among which the historical and cultural CES imbalance
area accounts for the largest proportion, as high as 48.1%, and then
the aesthetic imbalance area accounts for 38.4%, while the leisure
and entertainment imbalance area accounts for 37.0%. Through
the analysis of CES supply-demand imbalance at the scenic spot
scale, the strategy of CES spatial allocation of tourist destinations
is proposed according to different imbalance types, which provides
practical guidance for landscape planners and local decision
makers, so as to realize the optimization of tourism spatial structure
and the integration between regional protection and development.
Keywords: landscape architecture; cultural ecosystem service; |
| Key words: landscape architecture cultural ecosystem service multisource data MaxEnt model spatial mapping supply and
demand balance |
