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Land Use Optimization and Carbon Storage Estimation in the Yellow River Basin, China

Author

Listed:
  • Furui Xi

    (China Institute of Geo-Environment Monitoring, Beijing 100081, China
    Key Laboratory of Mine Ecological Effects and Systematic Restoration, Ministry of Natural Resources, Beijing 100081, China
    These authors contributed equally to this work.)

  • Gang Lin

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing 100101, China
    These authors contributed equally to this work.)

  • Yanan Zhao

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Xiang Li

    (College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Zhiyu Chen

    (Research Institute of Highway Ministry of Transport, Beijing 100088, China)

  • Chenglong Cao

    (College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

Abstract

Urban development and coal extraction have caused conflicts regarding production, living, and ecological lands in the Yellow River basin. Here, a coupled genetic algorithm–patch generating land use simulation InVEST model was constructed to optimize land use/land cover (LULC) and simulate carbon storage changes. This study shows that the LULC changed dramatically from 2010 to 2020 in an area that accounts for 31.96% of the area of the Yellow River basin. Inappropriate land use conversion and encroachment have reduced carbon storage by 2.92 × 10 6 t, destroying the stability of the ecosystem. The development of cities has encroached on cultivated land, which may have affected the region’s food security. Following LULC optimization, ecological and cultivated lands are gradually being restored, and the transition between the different lands tends to be orderly, resulting in an increase of 24.84 × 10 6 t in carbon storage. The relationship between LULC and carbon storage shows that the high carbon intensity of woodland, grassland, and cultivated land is crucial to ensuring regional carbon balance. For the Yellow River basin, necessary environmental protection measures are the key to achieving high-quality economic development. This study can provide guidance for decision-makers in formulating ecosystem restoration plans.

Suggested Citation

  • Furui Xi & Gang Lin & Yanan Zhao & Xiang Li & Zhiyu Chen & Chenglong Cao, 2023. "Land Use Optimization and Carbon Storage Estimation in the Yellow River Basin, China," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11278-:d:1197919
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    References listed on IDEAS

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    Cited by:

    1. Yuhua Jiao & Yuhui Wang & Chenghong Tu & Xuenan Hou & Chunjuan Lyu & Xiang Fan & Lu Xia, 2024. "Spatiotemporal Evolution and Future of Carbon Storage in Resource-Based Chinese Province: A Case Study from Shanxi Using PLUS–InVEST Model Prediction," Sustainability, MDPI, vol. 16(11), pages 1-25, May.
    2. Shu An & Yifang Duan & Dengshuai Chen & Xiaoman Wu, 2024. "Spatiotemporal Evolution and Drivers of Carbon Storage from a Sustainable Development Perspective: A Case Study of the Region along the Middle and Lower Yellow River, China," Sustainability, MDPI, vol. 16(15), pages 1-20, July.

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