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Multi-Source Data-Driven Spatiotemporal Study on Integrated Ecosystem Service Value for Sustainable Ecosystem Management in Lake Dianchi Basin

Author

Listed:
  • Tian Bai

    (College of Landscape and Horticulture, Yunnan Agricultural University, Kunming 650201, China
    These authors contributed equally to this work.)

  • Junming Yang

    (School of Architecture and Engineering, Zhanjiang University of Science and Technology, Zhanjiang 524086, China
    These authors contributed equally to this work.)

  • Xinyu Wang

    (Institute of Landscape Architecture and Landscape Ecology, Hungarian University of Agriculture and Life Sciences, 1114 Budapest, Hungary
    These authors contributed equally to this work.)

  • Rui Su

    (College of Landscape and Horticulture, Yunnan Agricultural University, Kunming 650201, China)

  • Samuel A. Cushman

    (Department of Biology, University of Oxford, Oxford OX1 2JD, UK)

  • Gillian Lawson

    (School of Landscape Architecture, Lincoln University, P.O. Box 85084, Lincoln 7647, New Zealand)

  • Manshu Liu

    (Institute of Landscape Architecture and Landscape Ecology, Hungarian University of Agriculture and Life Sciences, 1114 Budapest, Hungary)

  • Guifang Wang

    (Institute of Landscape Architecture and Landscape Ecology, Hungarian University of Agriculture and Life Sciences, 1114 Budapest, Hungary)

  • Donghui Li

    (College of Landscape and Horticulture, Yunnan Agricultural University, Kunming 650201, China)

  • Jiaxin Wang

    (College of Landscape and Horticulture, Yunnan Agricultural University, Kunming 650201, China)

  • Jingli Zhang

    (College of Landscape and Horticulture, Yunnan Agricultural University, Kunming 650201, China)

  • Yawen Wu

    (College of Landscape and Horticulture, Yunnan Agricultural University, Kunming 650201, China)

Abstract

Ecosystem services are pivotal in assessing environmental health and societal well-being. Focusing on Lake Dianchi Basin (LDB), China, our research evaluated the IESV (Integrated Ecosystem Service Value) from 2000 to 2020, utilizing remote sensing and multiple statistical datasets. The analysis incorporates LSV (Landscape Service Value), CSV (Carbon Sequestration Value), and NPPV (Net Primary Productivity Value). The results show that LSV and CSV exhibited an expansion of low-yield zones near urban areas, contrasted by NPPV’s growth in high-yield outskirt areas. LSV’s normal distribution indicates stability, while CSV’s bimodal structure points to partial integration and systemic divergence. IESV pronounced clustering in both low- and high-yield regions, with low-yield zones congregating near urban centers and high-yield zones dispersed along the basin’s periphery. Despite an overall downward trajectory in IESV, NPPV’s augmentation suggested an underlying systemic resilience. A southeastward shift in IESV’s focus was driven by patterns of urban expansion. Finally, we produced projections with the CA-MC (Cellular Automata–Markov Chain) model to analyze the ongoing distribution of IESV areas around Kunming. By 2030, IESV’s aggregate value is expected to modestly diminish, with NPPV’s ascension mitigating the declines in LSV and CSV. In essence, IESV fluctuations within the LDB are intricately linked to urban development.

Suggested Citation

  • Tian Bai & Junming Yang & Xinyu Wang & Rui Su & Samuel A. Cushman & Gillian Lawson & Manshu Liu & Guifang Wang & Donghui Li & Jiaxin Wang & Jingli Zhang & Yawen Wu, 2025. "Multi-Source Data-Driven Spatiotemporal Study on Integrated Ecosystem Service Value for Sustainable Ecosystem Management in Lake Dianchi Basin," Sustainability, MDPI, vol. 17(9), pages 1-22, April.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:3832-:d:1641331
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