{"title":"Ecosystem health responses to tourism activities in the Qinghai-Tibet Plateau: Nonlinear relationships and mechanism","authors":"Linlin Xu , Hu Yu , Linsheng Zhong","doi":"10.1016/j.resenv.2026.100305","DOIUrl":null,"url":null,"abstract":"<div><div>Rapid tourism development in ecologically fragile regions poses a risk of exceeding ecosystem self-regulation capabilities. To promote the coordination of conservation and development, this study aims to explore the nonlinear relationship between ecosystem health and tourism activities. This study established a tourism activity intensity index and employed a machine learning model to simulate ecological responses on the Qinghai-Tibet Plateau. The results reveal that the response of ecosystem health to tourism activity is characterized by distinct nonlinear features. While ecosystem health maintains relative stability under low-to-moderate disturbance, it suffers accelerated degradation once the intensity exceeds critical thresholds. Specifically, quantitative thresholds were identified at the kilometer-grid scale (0.134) and the trajectory-point scale (0.337), suggesting a scale-dependent resilience mechanism. Natural geographical conditions and tourism organization patterns jointly shape diverse nonlinear response patterns. These insights bridge the gap between theoretical carrying capacity and quantitative estimation, offering practical references for defining the safe operating space in high-altitude areas.</div></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"24 ","pages":"Article 100305"},"PeriodicalIF":9.2000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resources Environment and Sustainability","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666916126000186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Rapid tourism development in ecologically fragile regions poses a risk of exceeding ecosystem self-regulation capabilities. To promote the coordination of conservation and development, this study aims to explore the nonlinear relationship between ecosystem health and tourism activities. This study established a tourism activity intensity index and employed a machine learning model to simulate ecological responses on the Qinghai-Tibet Plateau. The results reveal that the response of ecosystem health to tourism activity is characterized by distinct nonlinear features. While ecosystem health maintains relative stability under low-to-moderate disturbance, it suffers accelerated degradation once the intensity exceeds critical thresholds. Specifically, quantitative thresholds were identified at the kilometer-grid scale (0.134) and the trajectory-point scale (0.337), suggesting a scale-dependent resilience mechanism. Natural geographical conditions and tourism organization patterns jointly shape diverse nonlinear response patterns. These insights bridge the gap between theoretical carrying capacity and quantitative estimation, offering practical references for defining the safe operating space in high-altitude areas.