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The Spatiotemporal Evolution and Prediction of Carbon Storage in the Yellow River Basin Based on the Major Function-Oriented Zone Planning

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  • Jinfeng Wang

    (School of Geographical Science, Shanxi Normal University, Taiyuan 030031, China)

  • Lingfeng Li

    (School of Geographical Science, Shanxi Normal University, Taiyuan 030031, China)

  • Qing Li

    (Institute of Geographical Sciences, Hebei Academy of Sciences, Hebei Engineering Research Center for Geographic Information Application, Shijiazhuang 050011, China)

  • Sheng Wang

    (School of Geographical Science, Shanxi Normal University, Taiyuan 030031, China)

  • Xiaoling Liu

    (School of Geographical Science, Shanxi Normal University, Taiyuan 030031, China)

  • Ya Li

    (School of Geographical Science, Shanxi Normal University, Taiyuan 030031, China)

Abstract

Land use/cover change is the main reason for the variation of ecosystem carbon storage. The study of the impact of land use on carbon storage has certain reference values for realizing high-quality development in the Yellow River Basin. In this paper, the InVEST model was used to simulate the variation of carbon storage in the Yellow River Basin in 2000, 2005, 2010, 2015, and 2020, and to predict the carbon storage in 2030 in combination with the CA-Markov model, as well as to discuss the impact of land use on carbon storage. The results showed that: (1) The variation trend of carbon storage for different land use types in the Yellow River Basin was different and was mainly manifested as a decrease of cultivated land and unused land, and an increase of forest land, grassland, water, and construction land. The carbon storage in the provincial key development prioritized zone, national development optimized zone, and provincial development optimized zone showed decreasing trends, while the national key development prioritized zone and national major grain producing zone presented a fluctuating downward trend. (2) The ecosystem carbon storage function weakened after 2000, and part of the carbon sink area transformed into a carbon source area. The area with low carbon storage was distributed in the west of the provincial key ecological function zone, and the area with high carbon storage was concentrated in the south and middle of national key ecological function zone and the east of the provincial key ecological function zone. (3) The carbon loss was largest in the urban expansion scenario (UES), followed by the natural development scenario (NDS) and ecological protection scenario (EPS). The carbon storage of different scenarios presented significant positive correlations with land use intensity.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7963-:d:851975
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    1. 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.
    2. Lili Geng & Yuanyuan Zhang & Huixian Hui & Yuhan Wang & Yongji Xue, 2023. "Response of Urban Ecosystem Carbon Storage to Land Use/Cover Change and Its Vulnerability Based on Major Function-Oriented Zone Planning," Land, MDPI, vol. 12(8), pages 1-21, August.

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