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Impacts of Urbanization on the Spatio-Temporal Patterns of Trade-Offs and Synergies Among Climate-Related Ecosystem Services

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  • Yifeng Qin

    (School of Design, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Caihua Yang

    (Department of Economics, Faculty of Economics, Agricultural University Plovdiv, 12 Mendeleev Blvd., 4000 Plovdiv, Bulgaria)

  • Rositsa Beluhova-Uzunova

    (Department of Economics, Faculty of Economics, Agricultural University Plovdiv, 12 Mendeleev Blvd., 4000 Plovdiv, Bulgaria)

  • Dobri Dunchev

    (Department of Economics, Faculty of Economics, Agricultural University Plovdiv, 12 Mendeleev Blvd., 4000 Plovdiv, Bulgaria)

  • Boryana Ivanova

    (Department of Economics, Faculty of Economics, Agricultural University Plovdiv, 12 Mendeleev Blvd., 4000 Plovdiv, Bulgaria)

  • Peng Chen

    (Lijiang Scenic Area Strategic Development Office, The Lijiang River Tourist Attractions Department, Guilin 541001, China)

  • Shengquan Che

    (School of Design, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

Under the context of rapid urbanization and climate change, urban ecosystem services (ES) have undergone dramatic transformations. Elucidating the trade-off and synergy relationships among ES and quantifying how urbanization mediates these relationships are critical to achieving urban sustainability. Focusing on Shanghai during 2000–2020, we quantified three climate-related ES—water yield (WY), urban cooling (Heat Mitigation Index, HMI) and carbon storage (CS)—with the InVEST model. We then examined the spatio-temporal evolution of these services, analyzed their trade-offs and synergies, and examined the underlying urbanization drivers. Results show that total WY increased by 76%, with peak volumes concentrated in the central districts; HMI declined, with low-value zones spreading inward; CS rose and became spatially more homogeneous. WY–HMI trade-offs intensified, whereas CS–HMI were synergistic (r = 0.33–0.61) except in core districts where built-up expansion created trade-offs. CS–WY trade-offs weakened, becoming synergistic in most districts by 2020. HMI loss was driven by GDP and industrial output ( p < 0.05). Per-capita green-space area was positively correlated with HMI but exerted no significant influence on CS or WY, highlighting the limitations of ecological interventions focused on single ES enhancement.

Suggested Citation

  • Yifeng Qin & Caihua Yang & Rositsa Beluhova-Uzunova & Dobri Dunchev & Boryana Ivanova & Peng Chen & Shengquan Che, 2025. "Impacts of Urbanization on the Spatio-Temporal Patterns of Trade-Offs and Synergies Among Climate-Related Ecosystem Services," Land, MDPI, vol. 14(9), pages 1-19, September.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:9:p:1781-:d:1740222
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