{"title":"文化生态系统服务自动识别的综合框架","authors":"Richard Kovárník, Jitka Janová, David Hampel","doi":"10.1016/j.ecoser.2025.101770","DOIUrl":null,"url":null,"abstract":"<div><div>Cultural ecosystem services (CES) represent intangible values, making them inherently challenging to analyze. In this study, we present a framework that combines web scraping, text mining, and statistical analysis to gain deeper insights into how people perceive valuable ecosystems and the benefits they derive from them. A total of 4,760 public reviews were collected from the Google Maps platform using dynamic web scraping techniques. Machine learning-based topic modelling was then applied to identify key themes related to CES in selected national parks and protected areas across the Czech Republic. Finally, we tested the hypothesis that the relative frequency of specific topics varies significantly between locations. The proposed approach proved effective in the automated evaluation of CES and in highlighting the distinctive features of the studied sites.</div></div>","PeriodicalId":51312,"journal":{"name":"Ecosystem Services","volume":"75 ","pages":"Article 101770"},"PeriodicalIF":6.6000,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comprehensive framework for automated identification of cultural ecosystem services\",\"authors\":\"Richard Kovárník, Jitka Janová, David Hampel\",\"doi\":\"10.1016/j.ecoser.2025.101770\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Cultural ecosystem services (CES) represent intangible values, making them inherently challenging to analyze. In this study, we present a framework that combines web scraping, text mining, and statistical analysis to gain deeper insights into how people perceive valuable ecosystems and the benefits they derive from them. A total of 4,760 public reviews were collected from the Google Maps platform using dynamic web scraping techniques. Machine learning-based topic modelling was then applied to identify key themes related to CES in selected national parks and protected areas across the Czech Republic. Finally, we tested the hypothesis that the relative frequency of specific topics varies significantly between locations. The proposed approach proved effective in the automated evaluation of CES and in highlighting the distinctive features of the studied sites.</div></div>\",\"PeriodicalId\":51312,\"journal\":{\"name\":\"Ecosystem Services\",\"volume\":\"75 \",\"pages\":\"Article 101770\"},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2025-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecosystem Services\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2212041625000749\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecosystem Services","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212041625000749","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
A comprehensive framework for automated identification of cultural ecosystem services
Cultural ecosystem services (CES) represent intangible values, making them inherently challenging to analyze. In this study, we present a framework that combines web scraping, text mining, and statistical analysis to gain deeper insights into how people perceive valuable ecosystems and the benefits they derive from them. A total of 4,760 public reviews were collected from the Google Maps platform using dynamic web scraping techniques. Machine learning-based topic modelling was then applied to identify key themes related to CES in selected national parks and protected areas across the Czech Republic. Finally, we tested the hypothesis that the relative frequency of specific topics varies significantly between locations. The proposed approach proved effective in the automated evaluation of CES and in highlighting the distinctive features of the studied sites.
期刊介绍:
Ecosystem Services is an international, interdisciplinary journal that is associated with the Ecosystem Services Partnership (ESP). The journal is dedicated to exploring the science, policy, and practice related to ecosystem services, which are the various ways in which ecosystems contribute to human well-being, both directly and indirectly.
Ecosystem Services contributes to the broader goal of ensuring that the benefits of ecosystems are recognized, valued, and sustainably managed for the well-being of current and future generations. The journal serves as a platform for scholars, practitioners, policymakers, and other stakeholders to share their findings and insights, fostering collaboration and innovation in the field of ecosystem services.