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Understanding the dynamic changes in wetland cultural ecosystem services: Integrating annual social media data into the SolVES.

Authors :
Huang, Sitong
Tian, Tian
Zhai, Lingge
Deng, Lingzhi
Che, Yue
Source :
Applied Geography. Jul2023, Vol. 156, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

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. [Display omitted] • The dynamic changes in wetland CES were revealed. • Significant differences existed between years in the spatial distribution of CES values. • CES value assessment should emphasize the combination of multi-year data. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01436228
Volume :
156
Database :
Academic Search Index
Journal :
Applied Geography
Publication Type :
Academic Journal
Accession number :
164156018
Full Text :
https://doi.org/10.1016/j.apgeog.2023.102992