接见者模式
湿地
生态系统服务
地理
城市化
晋升(国际象棋)
社会化媒体
环境资源管理
分布(数学)
测量数据收集
生态系统
国家公园
生态学
计算机科学
环境科学
政治学
万维网
统计
数学
政治
生物
数学分析
考古
程序设计语言
法学
作者
Sitong Huang,Tian Tian,Lingge Zhai,Lingzhi Deng,Yue Che
标识
DOI:10.1016/j.apgeog.2023.102992
摘要
As urbanization increases, the human demand for the cultural services of wetland ecosystems is growing. However, traditional cultural ecosystem service (CES) assessments are usually conducted using a focused survey over a short period, often ignoring the changes in CESs over time. Social media data have great potential for assessing dynamic changes in CESs. In this paper, we integrated social media data into the Social Value for Ecosystem Services (SolVES) model to identify and locate the CES values of Shanghai's Wusong Paotaiwan Wetland (WPW) Park in 2015, 2017, and 2019. We also quantified the inter-annual variation in the CES values through raster calculations. We found that the spatial distribution of the CES values showed a tendency towards mean values, which may be related to social media promotion, the improvements in park facilities, and visitors' play psychology of seeking differences. These results can help planners respond to visitor feedback and improve park programmes in a timely manner. Notably, the spatial distribution of the CES values varied significantly between years, which suggests that we should select data for different purposes and consider which year or years of data are most scientifically sound to facilitate reliable conclusions before conducting CES assessments.
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