Bin Jiang , Chunxiang Zhang , Zhennan Liu , Jiedong Wen , JiuLian Zhu , Liping Xu , FeiTeng Wang
{"title":"为干旱区滑雪场量身打造经济-生态-旅游耦合框架:基于PSR模型的新疆案例研究","authors":"Bin Jiang , Chunxiang Zhang , Zhennan Liu , Jiedong Wen , JiuLian Zhu , Liping Xu , FeiTeng Wang","doi":"10.1016/j.ecolind.2025.113881","DOIUrl":null,"url":null,"abstract":"<div><div>Arid regions constitute 40.6 % of the global landmass, with their climatic characteristics of low precipitation, high evaporation, and ecological fragility imposing severe challenges on ice-snow tourism development. Take the Sierra Nevada in Spain and Utah in the United States as examples, large-scale development of ski resorts in arid areas has triggered ecological crises such as water resource depletion and vegetation disturbance. However, existing studies suffer from insufficient understanding of the unique interaction mechanism of “rigid water resource constraints-tourism development-ecological response” in arid regions, leading to a shortage of precise assessment tools. To bridge this gap, this study takes 31 S-class ski resorts in Xinjiang, China (with 2011–2023 panel data) as a case, constructs an “Economic-Ecological-Tourism” (EET) coupling coordination indicator system based on the PSR model, and integrates entropy-weighted TOPSIS, obstacle degree model, and grey prediction model to form a closed-loop methodology of “indicator screening-obstacle diagnosis-trend prediction”. The findings show that the EET coupling coordination degree of Xinjiang ski resorts has increased from near-disharmony (0.386) to primary coordination (0.636), with the type shifting from “economy-lagging” to “tourism-lagging”. Tourism traffic convenience (road density, passenger turnover) emerges as the core obstacle factor. The coupling coordination degree is projected to continue rising in the next decade, stabilizing in the primary coordination stage (D ≥ 0.65) by 2027. This study validates the “asymmetric response” theory of ecological thresholds in arid regions, and proposes policy recommendations such as the “ecological rigid constraint coefficient” and “inclusion of carbon emissions in environmental certification”, providing a transplantable quantitative management paradigm for ski resorts in arid regions of Central Asia and North America.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"178 ","pages":"Article 113881"},"PeriodicalIF":7.0000,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tailoring an economic-ecological-tourism coupling framework for arid-region ski resorts: A PSR model-based case study of Xinjiang, China\",\"authors\":\"Bin Jiang , Chunxiang Zhang , Zhennan Liu , Jiedong Wen , JiuLian Zhu , Liping Xu , FeiTeng Wang\",\"doi\":\"10.1016/j.ecolind.2025.113881\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Arid regions constitute 40.6 % of the global landmass, with their climatic characteristics of low precipitation, high evaporation, and ecological fragility imposing severe challenges on ice-snow tourism development. Take the Sierra Nevada in Spain and Utah in the United States as examples, large-scale development of ski resorts in arid areas has triggered ecological crises such as water resource depletion and vegetation disturbance. However, existing studies suffer from insufficient understanding of the unique interaction mechanism of “rigid water resource constraints-tourism development-ecological response” in arid regions, leading to a shortage of precise assessment tools. To bridge this gap, this study takes 31 S-class ski resorts in Xinjiang, China (with 2011–2023 panel data) as a case, constructs an “Economic-Ecological-Tourism” (EET) coupling coordination indicator system based on the PSR model, and integrates entropy-weighted TOPSIS, obstacle degree model, and grey prediction model to form a closed-loop methodology of “indicator screening-obstacle diagnosis-trend prediction”. The findings show that the EET coupling coordination degree of Xinjiang ski resorts has increased from near-disharmony (0.386) to primary coordination (0.636), with the type shifting from “economy-lagging” to “tourism-lagging”. Tourism traffic convenience (road density, passenger turnover) emerges as the core obstacle factor. The coupling coordination degree is projected to continue rising in the next decade, stabilizing in the primary coordination stage (D ≥ 0.65) by 2027. This study validates the “asymmetric response” theory of ecological thresholds in arid regions, and proposes policy recommendations such as the “ecological rigid constraint coefficient” and “inclusion of carbon emissions in environmental certification”, providing a transplantable quantitative management paradigm for ski resorts in arid regions of Central Asia and North America.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"178 \",\"pages\":\"Article 113881\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X25008118\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25008118","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Tailoring an economic-ecological-tourism coupling framework for arid-region ski resorts: A PSR model-based case study of Xinjiang, China
Arid regions constitute 40.6 % of the global landmass, with their climatic characteristics of low precipitation, high evaporation, and ecological fragility imposing severe challenges on ice-snow tourism development. Take the Sierra Nevada in Spain and Utah in the United States as examples, large-scale development of ski resorts in arid areas has triggered ecological crises such as water resource depletion and vegetation disturbance. However, existing studies suffer from insufficient understanding of the unique interaction mechanism of “rigid water resource constraints-tourism development-ecological response” in arid regions, leading to a shortage of precise assessment tools. To bridge this gap, this study takes 31 S-class ski resorts in Xinjiang, China (with 2011–2023 panel data) as a case, constructs an “Economic-Ecological-Tourism” (EET) coupling coordination indicator system based on the PSR model, and integrates entropy-weighted TOPSIS, obstacle degree model, and grey prediction model to form a closed-loop methodology of “indicator screening-obstacle diagnosis-trend prediction”. The findings show that the EET coupling coordination degree of Xinjiang ski resorts has increased from near-disharmony (0.386) to primary coordination (0.636), with the type shifting from “economy-lagging” to “tourism-lagging”. Tourism traffic convenience (road density, passenger turnover) emerges as the core obstacle factor. The coupling coordination degree is projected to continue rising in the next decade, stabilizing in the primary coordination stage (D ≥ 0.65) by 2027. This study validates the “asymmetric response” theory of ecological thresholds in arid regions, and proposes policy recommendations such as the “ecological rigid constraint coefficient” and “inclusion of carbon emissions in environmental certification”, providing a transplantable quantitative management paradigm for ski resorts in arid regions of Central Asia and North America.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.