IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i8p2344-d224178.html
   My bibliography  Save this article

An Ecological Early Warning Indicator System for Environmental Protection of Scenic Areas

Author

Listed:
  • Shih-Yen Lin

    (Department of Tourism, Leisure and Hospitality Management, National Chi Nan University, No.1, University Rd., Puli Township, Nantou County 54561, Taiwan)

  • Jun-Liang Lu

    (Institute of Tourism, Zhejiang University, Zijingang Campus, Hangzhou 3100585, China)

  • Yu-Lin Fan

    (Department of Ecology and Environmental Resources, National University of Tainan, No. 33, Sec. 2, Shu-Lin St., West Central Dist., Tainan City 70005, Taiwan)

Abstract

The aim of this research is to build an ecological early warning indicator system. Several complex and interlinked factors contribute to changes in the environmental quality of scenic areas. If changes in these factors can be monitored and controlled, the environmental quality of scenic areas can also be controlled, achieving the purpose of protecting the ecological environment. This study utilizes ecological early warning indicators to enable environmental management. Twenty-six early warning indicators are first identified through a literature review, interviews, and survey pretesting. A fuzzy analytic hierarchy process is then used to calculate the weights of different levels/hierarchies. These early warning indicators can be used both to assess the environmental quality of scenic areas, and to provide a foundation for the construction of an ecological early warning indicator system in scenic areas. This approach represents a new perspective on scenic area environmental management and ecological protection.

Suggested Citation

  • Shih-Yen Lin & Jun-Liang Lu & Yu-Lin Fan, 2019. "An Ecological Early Warning Indicator System for Environmental Protection of Scenic Areas," Sustainability, MDPI, vol. 11(8), pages 1-15, April.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:8:p:2344-:d:224178
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/8/2344/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/8/2344/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Susanne Becken & Roché Mahon & Hamish Rennie & Aishath Shakeela, 2014. "The tourism disaster vulnerability framework: an application to tourism in small island destinations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(1), pages 955-972, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Karam M. Ghazi, 2017. "The Impact of Strategic Planning on Crisis Management Styles in the 5- star Hotels," Tourism Research Institute, Journal of Tourism Research, vol. 18(1), pages 148-164, November.
    2. Bui, Huong T. & Saito, Hiroaki, 2022. "Resource convergence for post disaster recovery," Annals of Tourism Research, Elsevier, vol. 93(C).
    3. Ling-en Wang & Bing Tian & Viachaslau Filimonau & Zhizhong Ning & Xuechun Yang, 2022. "The impact of the COVID-19 pandemic on revenues of visitor attractions: An exploratory and preliminary study in China," Tourism Economics, , vol. 28(1), pages 153-174, February.
    4. Xaimarie Hernández-Cruz & Saylisse Dávila, 2020. "Quantifying adaptive capacity to floods: an assessment of Rincón, PR," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 1537-1564, August.
    5. Huiqin Li & Yujie Hui & Jingyan Pan, 2022. "Evolution and Influencing Factors of Social-Ecological System Vulnerability in the Wuling Mountains Area," IJERPH, MDPI, vol. 19(18), pages 1-27, September.
    6. Yingyue Sun & Wanying Lin & Mingyue Sun & Peng Chen, 2024. "Spatiotemporal Evolution and Driving Forces of Tourism Economic Resilience in Chinese Provinces," Sustainability, MDPI, vol. 16(18), pages 1-23, September.
    7. Dedi Iskandar Inan & Ghassan Beydoun & Simon Opper, 2018. "Agent-Based Knowledge Analysis Framework in Disaster Management," Information Systems Frontiers, Springer, vol. 20(4), pages 783-802, August.
    8. Wanshan Wu & Qingyi Su & Chunding Li & Cheng Yan & Giray Gozgor, 2020. "Urbanization, Disasters, and Tourism Development: Evidence from RCEP Countries," Sustainability, MDPI, vol. 12(3), pages 1-14, February.
    9. Alexandria Soontiens-Olsen & Laurel Genge & Andrew Scott Medeiros & Georgia Klein & Shannon Lin & Lorn Sheehan, 2023. "Coastal Adaptation and Vulnerability Assessment in a Warming Future: A Systematic Review of the Tourism Sector," SAGE Open, , vol. 13(2), pages 21582440231, June.
    10. Shuo Yang & Wei Guo, 2022. "Research on China’s Tourism Public Services Development from the Perspective of Spatial–Temporal Interactions and Based on Resilience Theory," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    11. Xianglan Chen & Yachao Duan & Laiba Ali & Yahui Duan & Kisang Ryu, 2021. "Understanding Consumer Travel Behavior during COVID-19," Sustainability, MDPI, vol. 13(23), pages 1-11, December.
    12. Chung-Shing Chan & Kazuo Nozu & Qinrou Zhou, 2020. "Tourism Stakeholder Perspective for Disaster-Management Process and Resilience: The Case of the 2018 Hokkaido Eastern Iburi Earthquake in Japan," Sustainability, MDPI, vol. 12(19), pages 1-19, September.
    13. Abdelmohsen A. Nassani & Abdullah Mohammed Aldakhil & Muhammad Moinuddin Qazi Abro & Khalid Zaman, 2018. "Effective International Tourism Management: A Strategic Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(3), pages 1201-1224, June.
    14. Léopold T Biardeau & Mondher Sahli, 2024. "Investigating the non-linear impacts of seven types of natural disasters on inbound tourism: Insights from the EM-DAT database," Tourism Economics, , vol. 30(4), pages 900-923, June.
    15. Fangming Qin & Gezhi Chen, 2022. "Vulnerability of Tourist Cities’ Economic Systems Amid the COVID-19 Pandemic: System Characteristics and Formation Mechanisms—A Case Study of 46 Major Tourist Cities in China," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    16. Yongrui Guo & Jie Zhang & Yuling Zhang & Chunhui Zheng, 2018. "Catalyst or Barrier? The Influence of Place Attachment on Perceived Community Resilience in Tourism Destinations," Sustainability, MDPI, vol. 10(7), pages 1-14, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:8:p:2344-:d:224178. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.