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Multi-Scenario Simulation Analysis of Land Use and Carbon Storage Changes in Changchun City Based on FLUS and InVEST Model

Author

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  • Yingxue Li

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Zhaoshun Liu

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Shujie Li

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Xiang Li

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

Abstract

Land use change is an important reason for changes in carbon storage in terrestrial ecosystems. Therefore, analyzing the impact of land use change on carbon storage is important for exploring the sustainable development of cities and improving the value of ecosystem services. Taking Changchun City in the northeast of China as the research area, this paper simulates land use patterns under three scenarios up to 2030 using the FLUS model and assesses carbon storage from 2010 to 2030 using the InVEST model. It estimates the impact of land use change on carbon storage under several scenarios in Changchun. The results show that cultivated land plays an important role in carbon storage in Changchun. The transfer of cultivated land to construction land has been the main land use type conversion over the past decade, which has led to most of the carbon storage loss. In the natural growth scenario, the carbon storage would decline further. In the cultivated land protection scenario, meanwhile, this situation would be greatly improved. In the ecological protection scenario, the carbon storage would be increased due to the protection of ecological land. In the future, we should protect existing resources while simultaneously comprehensively improving the economic, social, and ecological benefits of the land.

Suggested Citation

  • Yingxue Li & Zhaoshun Liu & Shujie Li & Xiang Li, 2022. "Multi-Scenario Simulation Analysis of Land Use and Carbon Storage Changes in Changchun City Based on FLUS and InVEST Model," Land, MDPI, vol. 11(5), pages 1-17, April.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:5:p:647-:d:803751
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    Cited by:

    1. Tong Lin & Dafang Wu & Muzhuang Yang & Peifang Ma & Yanyan Liu & Feng Liu & Ziying Gan, 2022. "Evolution and Simulation of Terrestrial Ecosystem Carbon Storage and Sustainability Assessment in Karst Areas: A Case Study of Guizhou Province," IJERPH, MDPI, vol. 19(23), pages 1-19, December.
    2. Yonghua Li & Song Yao & Hezhou Jiang & Huarong Wang & Qinchuan Ran & Xinyun Gao & Xinyi Ding & Dandong Ge, 2022. "Spatial-Temporal Evolution and Prediction of Carbon Storage: An Integrated Framework Based on the MOP–PLUS–InVEST Model and an Applied Case Study in Hangzhou, East China," Land, MDPI, vol. 11(12), pages 1-22, December.
    3. Rui Qu & Li He & Zhengwei He & Bing Wang & Pengyi Lyu & Jiaxian Wang & Guichuan Kang & Wenqian Bai, 2022. "A Study of Carbon Stock Changes in the Alpine Grassland Ecosystem of Zoigê, China, 2000–2020," Land, MDPI, vol. 11(8), pages 1-15, August.
    4. Ran Zhou & Lu Huang & Ke Wang & Wenhao Hu, 2023. "From Productive Landscape to Agritouristic Landscape? The Evidence of an Agricultural Heritage System—Zhejiang Huzhou Mulberry-Dyke and Fish-Pond System," Land, MDPI, vol. 12(5), pages 1-21, May.
    5. Dong-Feng Ren & Ai-Hua Cao & Fei-Yue Wang, 2023. "Response and Multi-Scenario Prediction of Carbon Storage and Habitat Quality to Land Use in Liaoning Province, China," Sustainability, MDPI, vol. 15(5), pages 1-23, March.

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