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Impact of Land Use Change on Carbon Storage Based on FLUS-InVEST Model: A Case Study of Chengdu–Chongqing Urban Agglomeration, China

Author

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  • Zhouling Shao

    (Institute of Agricultural Information and Rural Economy, Sichuan Academy of Agricultural Science, Chengdu 610066, China)

  • Chunyan Chen

    (Institute of Agricultural Information and Rural Economy, Sichuan Academy of Agricultural Science, Chengdu 610066, China)

  • Yuanli Liu

    (Institute of Agricultural Information and Rural Economy, Sichuan Academy of Agricultural Science, Chengdu 610066, China)

  • Jie Cao

    (Institute of Agricultural Information and Rural Economy, Sichuan Academy of Agricultural Science, Chengdu 610066, China)

  • Guitang Liao

    (College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China)

  • Zhengyu Lin

    (Institute of Agricultural Information and Rural Economy, Sichuan Academy of Agricultural Science, Chengdu 610066, China)

Abstract

Land use change is one of the main factors driving changes in terrestrial carbon storage, which comprises the storage of vegetation carbon and soil carbon. Selecting the Chengdu–Chongqing urban agglomeration (CCUA) as the study area, land use and carbon storage from 2010 to 2030 were analyzed by combining the Future Land Use Simulation (FLUS) model and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The main types of land use in CCUA are farmland and forest. The conversion of farmland to built-up land was the most important form of land use transfer between 2010 and 2020. Each type of land use shows the smallest change under the ecological protection scenario, and the degree of the comprehensive land use dynamic is only 0.19%. Under the natural development scenario, the areas of built-up land, wetland, and forest land will increase in 2030. Under the urban development scenario, the built-up land area will increase by 751.24 km 2 , an increase in more than 10.08%, but farmland, forest, and grassland will decrease. The spatial pattern of carbon storage is “high in the east and west, low in the middle”; farmland accounts for the largest proportion of carbon storage at over 60% of the total. Carbon storage decreased by 29.45 × 10 6 Mg from 2010 to 2020. Grassland showed the most significant decrease in carbon storage, with the proportion decreasing from 7.49% in 2010 to 6.09% in 2020. In 2030, the total carbon storage will reach 1844.68 × 10 6 Mg under the ecological protection scenario, slightly higher than that in 2020, while it will show a downward trend under the natural development and urban development scenarios.

Suggested Citation

  • Zhouling Shao & Chunyan Chen & Yuanli Liu & Jie Cao & Guitang Liao & Zhengyu Lin, 2023. "Impact of Land Use Change on Carbon Storage Based on FLUS-InVEST Model: A Case Study of Chengdu–Chongqing Urban Agglomeration, China," Land, MDPI, vol. 12(8), pages 1-17, August.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:8:p:1531-:d:1208891
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    References listed on IDEAS

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    1. Yue Wu & Zexu Han & Auwalu Faisal Koko & Siyuan Zhang & Nan Ding & Jiayang Luo, 2022. "Analyzing the Spatio-Temporal Dynamics of Urban Land Use Expansion and Its Influencing Factors in Zhejiang Province, China," IJERPH, MDPI, vol. 19(24), pages 1-24, December.
    2. Qinglong Ding & Yang Chen & Lingtong Bu & Yanmei Ye, 2021. "Multi-Scenario Analysis of Habitat Quality in the Yellow River Delta by Coupling FLUS with InVEST Model," IJERPH, MDPI, vol. 18(5), pages 1-19, March.
    3. Dingrao Feng & Wenkai Bao & Meichen Fu & Min Zhang & Yiyu Sun, 2021. "Current and Future Land Use Characters of a National Central City in Eco-Fragile Region—A Case Study in Xi’an City Based on FLUS Model," Land, MDPI, vol. 10(3), pages 1-25, March.
    4. Yijie Sun & Jing Li & Zhiyuan Ren & Feipeng Yang, 2023. "Ecosystem Service Trade-Offs and Spatial Pattern Optimisation under Different Land Use Scenarios: A Case Study in Guanzhong Region, China," Land, MDPI, vol. 12(1), pages 1-18, January.
    5. Mengyao Li & Hongxia Luo & Zili Qin & Yuanxin Tong, 2023. "Spatial-Temporal Simulation of Carbon Storage Based on Land Use in Yangtze River Delta under SSP-RCP Scenarios," Land, MDPI, vol. 12(2), pages 1-18, February.
    6. Bingrui Liu & Jiacheng Qian & Ran Zhao & Qijun Yang & Kening Wu & Huafu Zhao & Zhe Feng & Jianhui Dong, 2022. "Spatio-Temporal Variation and Its Driving Forces of Soil Organic Carbon along an Urban–Rural Gradient: A Case Study of Beijing," IJERPH, MDPI, vol. 19(22), pages 1-22, November.
    7. Shilong Piao & Jingyun Fang & Philippe Ciais & Philippe Peylin & Yao Huang & Stephen Sitch & Tao Wang, 2009. "The carbon balance of terrestrial ecosystems in China," Nature, Nature, vol. 458(7241), pages 1009-1013, April.
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