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Scenario Simulation of the Relationship between Land-Use Changes and Ecosystem Carbon Storage: A Case Study in Dongting Lake Basin, China

Author

Listed:
  • Wenqiang Zhou

    (College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China)

  • Jinlong Wang

    (College of Business, Central South University of Forestry and Technology, Changsha 410004, China)

  • Yu Han

    (College of Economics and Management, Southwest University, Chongqing 400715, China)

  • Ling Yang

    (College of Business, Central South University of Forestry and Technology, Changsha 410004, China)

  • Huafei Que

    (Hunan Sports Vacational College, Changsha 410019, China)

  • Rong Wang

    (College of Fumiture and Art Design, Central South University of Forestry and Technology, Changsha 410004, China)

Abstract

High-frequency land-use changes caused by rapid economic development have become a key factor in the imbalance of carbon sequestration within regions. How to balance economic development and ecological protection is a difficult issue for regional planning. Studying the relationship between future land-use changes and ecosystem carbon storage (CS) is of important significance for the optimization of regional land-use patterns. The research used the gray prediction model and coupled the patch-generating land-use simulation (PLUS) model and the integrated valuation of ecosystem services and trade-offs (InVEST) model. On this basis, the evolution characteristics and spatial coordination between land-use changes and CS in the Dongting Lake Basin (DLB) in different scenarios in 2030 were simulated. The results show that: (1) The spatial distribution of CS remains stable in different scenarios, while land-use types with high carbon density in the periphery of cities are constantly invaded by construction land, which results in the greatest carbon loss in the urban areas. (2) Compared with the natural evolution scenario (NES), only 195.19 km 2 of land-use types with high carbon density are transformed into construction land in the ecological protection scenario (EPS), generating a carbon sink gain of 182.47 × 10 4 Mg. Conversely, in the economic development scenario (EDS), a total of over 1400 km 2 of farmland and ecological land are transformed into construction land, which weakens the carbon sequestration capacity of ecosystems, and more than 147 × 10 4 Mg of carbon loss occurs in the urban areas. (3) The planned development scenario (PDS) takes ecological protection and economic development both into consideration, which not only generates a carbon sink gain of 121.33 × 10 4 Mg but also reduces the carbon loss in urban areas by more than 50%. The PDS performs well in both land use and CS growth and can better motivate the effect of land-use changes in increasing the carbon sink, which is also proved by analysis of the coordination between land-use intensity (LUI) and CS. Therefore, the PDS better satisfies the future development demand of DLB and can provide a reference for sustainable land use in the basin.

Suggested Citation

  • Wenqiang Zhou & Jinlong Wang & Yu Han & Ling Yang & Huafei Que & Rong Wang, 2023. "Scenario Simulation of the Relationship between Land-Use Changes and Ecosystem Carbon Storage: A Case Study in Dongting Lake Basin, China," IJERPH, MDPI, vol. 20(6), pages 1-19, March.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:6:p:4835-:d:1092392
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    References listed on IDEAS

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    1. Mingjie Shi & Hongqi Wu & Pingan Jiang & Wenjiao Shi & Mo Zhang & Lina Zhang & Haoyu Zhang & Xin Fan & Zhuo Liu & Kai Zheng & Tong Dong & Muhammad Fahad Baqa, 2022. "Cropland Expansion Mitigates the Supply and Demand Deficit for Carbon Sequestration Service under Different Scenarios in the Future—The Case of Xinjiang," Agriculture, MDPI, vol. 12(8), pages 1-18, August.
    2. Wei Guo & Yongjia Teng & Yueguan Yan & Chuanwu Zhao & Wanqiu Zhang & Xianglin Ji, 2022. "Simulation of Land Use and Carbon Storage Evolution in Multi-Scenario: A Case Study in Beijing-Tianjin-Hebei Urban Agglomeration, China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    3. Yucong Duan & Jie Tang & Zhaoyang Li & Yao Yang & Ce Dai & Yunke Qu & Hang Lv, 2022. "Optimal Planning and Management of Land Use in River Source Region: A Case Study of Songhua River Basin, China," IJERPH, MDPI, vol. 19(11), pages 1-21, May.
    4. Nianlong Han & Miao Yu & Peihong Jia, 2022. "Multi-Scenario Landscape Ecological Risk Simulation for Sustainable Development Goals: A Case Study on the Central Mountainous Area of Hainan Island," IJERPH, MDPI, vol. 19(7), pages 1-17, March.
    5. Jinfeng Wang & Lingfeng Li & Qing Li & Sheng Wang & Xiaoling Liu & Ya Li, 2022. "The Spatiotemporal Evolution and Prediction of Carbon Storage in the Yellow River Basin Based on the Major Function-Oriented Zone Planning," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    6. Christian P. Giardina & Michael G. Ryan, 2000. "Evidence that decomposition rates of organic carbon in mineral soil do not vary with temperature," Nature, Nature, vol. 404(6780), pages 858-861, April.
    7. Qing Liu & Dongdong Yang & Lei Cao & Bruce Anderson, 2022. "Assessment and Prediction of Carbon Storage Based on Land Use/Land Cover Dynamics in the Tropics: A Case Study of Hainan Island, China," Land, MDPI, vol. 11(2), pages 1-24, February.
    8. Yongjun Du & Xiaolong Li & Xinlin He & Xiaoqian Li & Guang Yang & Dongbo Li & Wenhe Xu & Xiang Qiao & Chen Li & Lu Sui, 2022. "Multi-Scenario Simulation and Trade-Off Analysis of Ecological Service Value in the Manas River Basin Based on Land Use Optimization in China," IJERPH, MDPI, vol. 19(10), pages 1-31, May.
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