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Response of Carbon Energy Storage to Land Use/Cover Changes in Shanxi Province, China

Author

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  • Huan Tang

    (Department of Civil Engineering, Tongling University, Tongling 244061, China
    Spatial Information Acquisition and Application Joint Laboratory of Anhui Province, Tongling 244000, China)

  • Xiao Liu

    (Wuhan Geomatics Institute, Wuhan 430022, China)

  • Ruijie Xie

    (Tongling Seismic Station, Tongling 244061, China)

  • Yuqin Lin

    (Department of Civil Engineering, Tongling University, Tongling 244061, China)

  • Jiawei Fang

    (Department of Civil Engineering, Tongling University, Tongling 244061, China
    Spatial Information Acquisition and Application Joint Laboratory of Anhui Province, Tongling 244000, China)

  • Jing Yuan

    (Department of Civil Engineering, Tongling University, Tongling 244061, China
    Spatial Information Acquisition and Application Joint Laboratory of Anhui Province, Tongling 244000, China
    Department of Civil Engineering, Manitoba University, Winnipeg, MB R3T 2N2, Canada)

Abstract

Carbon storage services play an important role in maintaining ecosystem stability. Land use/cover change (LUCC) is the main factor leading to changes in ecosystem carbon storage. Understanding the impact of LUCC on regional carbon storage changes is crucial for protecting regional ecosystems and promoting sustainable socio-economic development. This paper selects Shanxi province as the study area and explores the spatial and temporal evolution characteristics of carbon storage in Shanxi province based on the InVEST model and univariate spatial autocorrelation. The results show that the total carbon storage in Shanxi Province in 2000, 2010, and 2020 is 513.51 × 10 4 t C, 513.46 × 10 4 t C, and 509.29 × 10 4 t C, respectively. High carbon storage areas are distributed in forest and grassland land types, while low carbon storage areas are widely distributed in building land in urban metropolitan areas. Shanxi Province is mainly dominated by farmland, which has decreased by 3448.60 km 2 in the past 20 years. Grassland has decreased by 1588.31 km 2 and the area of building land has increased by 4205.73 km 2 . Due to the influence of carbon conversion among different land use types, the total carbon storage loss of Shanxi Province in the past 20 years was 4.21 × 10 4 t C. The transfer of farmland resulted in an increase in carbon stock of 14.46 × 10 4 t C. The transfer of grassland resulted in an increase of 17.15 × 10 4 t C, while the transfer of forest resulted in a decrease of 41.44 × 10 4 t C. The increase in land use types with low carbon density and the decrease in land use types with high carbon density led to the decrease in carbon storage in Shanxi Province. Furthermore, social factors were more likely to influence the carbon storage than natural factors, and the influence of social factors was often negative. On this basis, regional development countermeasures were proposed for the current situation of carbon storage in Shanxi Province and provide a scientific basis for Shanxi Province to achieve the carbon neutrality target.

Suggested Citation

  • Huan Tang & Xiao Liu & Ruijie Xie & Yuqin Lin & Jiawei Fang & Jing Yuan, 2024. "Response of Carbon Energy Storage to Land Use/Cover Changes in Shanxi Province, China," Energies, MDPI, vol. 17(13), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:13:p:3284-:d:1428802
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    References listed on IDEAS

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    1. Zhang, Zimo & Peng, Jian & Xu, Zihan & Wang, Xiaoyu & Meersmans, Jeroen, 2021. "Ecosystem services supply and demand response to urbanization: A case study of the Pearl River Delta, China," Ecosystem Services, Elsevier, vol. 49(C).
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    3. Lyndré Nel & Ana Flávia Boeni & Viola Judit Prohászka & Alfréd Szilágyi & Eszter Tormáné Kovács & László Pásztor & Csaba Centeri, 2022. "InVEST Soil Carbon Stock Modelling of Agricultural Landscapes as an Ecosystem Service Indicator," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
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    2. Jing Wang & Zhenjiang Si & Tao Liu & Yan Liu & Longfei Wang, 2025. "Land Use–Future Climate Coupling Mechanism Analysis of Regional Agricultural Drought Spatiotemporal Patterns," Sustainability, MDPI, vol. 17(15), pages 1-41, August.

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