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The Impact of Territorial Spatial Transformation on Carbon Storage: A Case Study of Suqian, East China

Author

Listed:
  • Wenting Huang

    (School of Public Policy and Management, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China)

  • Long Guo

    (Land Expropriation and Survey Center of Suqian City, Hongzehu Road 793, Suqian 223800, China)

  • Ting Zhang

    (School of Public Policy and Management, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China)

  • Ting Chen

    (Land Expropriation and Survey Center of Suqian City, Hongzehu Road 793, Suqian 223800, China)

  • Longqian Chen

    (School of Public Policy and Management, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China)

  • Long Li

    (School of Public Policy and Management, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China
    Department of Geography, Earth System Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium)

  • Xundi Zhang

    (School of Public Policy and Management, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China)

Abstract

The carbon storage of terrestrial ecosystems plays a crucial role in mitigating climate change, and the transformation of territorial space has a significant impact on the carbon cycle of a country’s terrestrial ecosystems. Therefore, evaluating the impact of space transformation on carbon storage is essential for enhancing regional carbon storage potential and reducing carbon emissions. We use the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to analyze the dynamic changes in territorial spatial transformation and carbon storage from 2000 to 2020 in Suqian, as well as their relationship. On this basis, the optimization strategy and specific path for improving territorial space carbon storage capacity were determined. The results show the following: that (1) from 2000 to 2020, territorial spatial transformation in Suqian was dramatic, with the most significant changes occurring between 2005 and 2010. The scale of mutual transformation between agricultural production space and urban–rural construction space was the largest. (2) Carbon storage gradually decreased in Suqian City, with a total reduction of 1.23 × 10 6 tons over 20 years and an annual decrease of 1.46%. The carbon density of forested space was significantly higher than that of other spaces. The conversion of agricultural production space and forestland space to urban–rural construction space was the main factor driving a decrease in carbon storage. (3) Territorial spatial transformation is a spatial manifestation of the evolution of human–land relationships. Regulating the function, scale, structure and layout of territorial space as a whole and implementing differentiated management of specific space will be beneficial to optimize carbon storage in Suqian.

Suggested Citation

  • Wenting Huang & Long Guo & Ting Zhang & Ting Chen & Longqian Chen & Long Li & Xundi Zhang, 2024. "The Impact of Territorial Spatial Transformation on Carbon Storage: A Case Study of Suqian, East China," Land, MDPI, vol. 13(3), pages 1-22, March.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:3:p:348-:d:1353617
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    References listed on IDEAS

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    1. Konarska, Keri M. & Sutton, Paul C. & Castellon, Michael, 2002. "Evaluating scale dependence of ecosystem service valuation: a comparison of NOAA-AVHRR and Landsat TM datasets," Ecological Economics, Elsevier, vol. 41(3), pages 491-507, June.
    2. 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.
    3. Xia, Chuyu & Chen, Bin, 2020. "Urban land-carbon nexus based on ecological network analysis," Applied Energy, Elsevier, vol. 276(C).
    4. 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.
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