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Spatiotemporal Changes and Trade-Offs/Synergies of Waterfront Ecosystem Services Globally

Author

Listed:
  • Yaomin Zheng

    (Business School, Beijing Technology and Business University, Beijing 100048, China
    Institute for Culture and Tourism Development, Beijing Technology and Business University, Beijing 100048, China)

  • Huize Yang

    (Business School, Beijing Technology and Business University, Beijing 100048, China
    Institute for Culture and Tourism Development, Beijing Technology and Business University, Beijing 100048, China)

  • Huixin Gong

    (Business School, Beijing Technology and Business University, Beijing 100048, China
    Institute for Culture and Tourism Development, Beijing Technology and Business University, Beijing 100048, China)

  • Jinlian Shi

    (Business School, Beijing Technology and Business University, Beijing 100048, China
    Institute for Culture and Tourism Development, Beijing Technology and Business University, Beijing 100048, China)

  • Yanhui Zhang

    (Business School, Beijing Technology and Business University, Beijing 100048, China
    Institute for Culture and Tourism Development, Beijing Technology and Business University, Beijing 100048, China)

  • Jiaxin Wang

    (Institute for Culture and Tourism Development, Beijing Technology and Business University, Beijing 100048, China)

  • Xin Zhang

    (Business School, Beijing Technology and Business University, Beijing 100048, China
    Institute for Culture and Tourism Development, Beijing Technology and Business University, Beijing 100048, China)

  • Ruifen Cheng

    (Business School, Beijing Technology and Business University, Beijing 100048, China
    Institute for Culture and Tourism Development, Beijing Technology and Business University, Beijing 100048, China)

  • Yu Chen

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

The types of ecosystem services are complex and diverse. This study estimated four ecosystem services, their trade-offs, and their synergistic outcomes in 2010, 2015, and 2020 using the InVEST model. Globally, results showed that waterfront ecosystem services are high (low) in the north (south), and that high-value areas are mainly in Sweden and Finland in Europe; the Congo in Africa; Russia, Southwest China, and Indonesia in Asia; the Northwestern United States and Canada in North America, and northeastern Peru and northwestern Brazil in South America. Overall, ecosystem services changed little during 2010–2020. Additionally, a notable trade-off was found between water yield and habitat quality, and strong synergies were found between water yield and carbon storage and sequestration, water yield and sediment delivery ratio, carbon storage and sequestration and sediment delivery ratio, and carbon storage and habitat quality. The results of this study could help promote sustainable development of waterfronts globally.

Suggested Citation

  • Yaomin Zheng & Huize Yang & Huixin Gong & Jinlian Shi & Yanhui Zhang & Jiaxin Wang & Xin Zhang & Ruifen Cheng & Yu Chen, 2025. "Spatiotemporal Changes and Trade-Offs/Synergies of Waterfront Ecosystem Services Globally," Sustainability, MDPI, vol. 17(2), pages 1-22, January.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:2:p:472-:d:1563553
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    References listed on IDEAS

    as
    1. Francesca Ciampa & Stefania De Medici & Serena Viola & Maria Rita Pinto, 2021. "Regeneration Criteria for Adaptive Reuse of the Waterfront Ecosystem: Learning from the US Case Study to Improve European Approach," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    2. Costanza, Robert & de Groot, Rudolf & Braat, Leon & Kubiszewski, Ida & Fioramonti, Lorenzo & Sutton, Paul & Farber, Steve & Grasso, Monica, 2017. "Twenty years of ecosystem services: How far have we come and how far do we still need to go?," Ecosystem Services, Elsevier, vol. 28(PA), pages 1-16.
    3. Wen Li & Jianwei Geng & Jingling Bao & Wenxiong Lin & Zeyan Wu & Shuisheng Fan, 2023. "Analysis of Spatial and Temporal Variations in Ecosystem Service Functions and Drivers in Anxi County Based on the InVEST Model," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
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