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Multi-Scenario Simulation of Land-Use/Land-Cover Changes and Carbon Storage Prediction Coupled with the SD-PLUS-InVEST Model: A Case Study of the Tuojiang River Basin, China

Author

Listed:
  • Qi Wang

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China
    These authors contributed equally to this work.)

  • Wenying Zhang

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China
    These authors contributed equally to this work.)

  • Jianguo Xia

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China)

  • Dinghua Ou

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China
    Key Laboratory of Investigation, Monitoring, Protection and Utilization for Cultivated Land Resources, Ministry of Natural Resources, Chengdu 610045, China)

  • Zhaonan Tian

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China)

  • Xuesong Gao

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China
    Key Laboratory of Investigation, Monitoring, Protection and Utilization for Cultivated Land Resources, Ministry of Natural Resources, Chengdu 610045, China)

Abstract

Land-use and land-cover changes (LUCCs) significantly impact carbon sequestration by modifying the structure and function of terrestrial ecosystems. This study utilized GIS and remote sensing techniques to forecast future LUCC patterns and their influence on regional carbon budgets, which is essential for sustainable development. We devised a coupled system dynamics (SD) model integrated with a patch-generating land-use simulation (PLUS) model to simulate LUCCs under diverse future scenarios using multisource environmental data. Additionally, the InVEST model was employed to quantify carbon storage in terrestrial ecosystems. By establishing three scenarios—ecological priority (EP), highly urbanized (HU), and coordinated development (CD)—this study’s aim was to predict the LUCC patterns and carbon storage distribution of the Tuojiang River Basin (TRB), China, up to 2035. The results showed that (1) from 2000 to 2020, significant LUCCs occurred in the TRB, primarily involving the conversion of cultivated land into construction areas and forestland; (2) LUCCs had a substantial impact on carbon storage in the TRB, with the EP scenario demonstrating the highest carbon storage by 2035 due to extensive forest expansion, while the HU scenario indicated a decline in carbon storage associated with rapid urbanization; and (3) the mountainous regions of the TRB, dominated by forestland, consistently exhibited higher carbon storage, whereas the Chengdu Plain region in the upper basin displayed the lowest. In conclusion, we recommend prioritizing the CD scenario in future development strategies to balance economic growth with ecological protection while simultaneously enhancing carbon storage. Our findings offer valuable insights to shape future LUCC policies in the Tuojiang River Basin, underscoring the adaptability of the coupled model approach to a wide range of geographic scales and contexts.

Suggested Citation

  • Qi Wang & Wenying Zhang & Jianguo Xia & Dinghua Ou & Zhaonan Tian & Xuesong Gao, 2024. "Multi-Scenario Simulation of Land-Use/Land-Cover Changes and Carbon Storage Prediction Coupled with the SD-PLUS-InVEST Model: A Case Study of the Tuojiang River Basin, China," Land, MDPI, vol. 13(9), pages 1-18, September.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:9:p:1518-:d:1480787
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    References listed on IDEAS

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    1. Yang, Yuanyuan & Bao, Wenkai & Liu, Yansui, 2020. "Scenario simulation of land system change in the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 96(C).
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