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Assessment of Coastal Carbon Storage and Analysis of Its Driving Factors: A Case Study of Jiaozhou Bay, China

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  • Longkun Zhang

    (College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China)

  • Qingchun Guan

    (College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China)

  • Hui Li

    (College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China)

  • Junwen Chen

    (College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China)

  • Tianya Meng

    (College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China)

  • Xu Zhou

    (College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China)

Abstract

Global climate change and coastal urbanization have significantly impacted the health and carbon storage of coastal zone ecosystems. Investigating the spatial and temporal variations in coastal carbon storage is crucial for developing effective strategies for land management and ecological protection. Current methods for evaluating carbon storage are hindered by insufficient accuracy and data acquisition challenges, necessitating solutions to enhance both reliability and precision. This study aims to assess the variations in carbon storage and annual carbon sequestration in the Jiaozhou Bay coastal zone from 1990 to 2020 and to identify the driving factors by integrating the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) and Carnegie Ames Stanford Approach (CASA) models with remote sensing data and geographic detector methods. The findings suggest that Jiaozhou Bay has experienced a substantial decrease in carbon storage, declining by 17.4% from 1990 to 2020, and annual carbon sequestration, decreasing by 35.5% from 1990 to 2016, but has stabilized recently. Vegetation cover and water bodies play critical roles in regional carbon storage. Furthermore, the dynamics of carbon storage and land use patterns are significantly influenced by socioeconomic factors, including GDP and population density. A comparison of the InVEST and CASA models demonstrates consistency in their carbon storage and annual carbon sequestration assessments. Combining these models in future assessments can enhance the scientific rigor and accuracy of the research, providing more reliable evidence for ecosystem management and policy making.

Suggested Citation

  • Longkun Zhang & Qingchun Guan & Hui Li & Junwen Chen & Tianya Meng & Xu Zhou, 2024. "Assessment of Coastal Carbon Storage and Analysis of Its Driving Factors: A Case Study of Jiaozhou Bay, China," Land, MDPI, vol. 13(8), pages 1-24, August.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1208-:d:1450419
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    References listed on IDEAS

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    1. Yi Li & Jianhui Qiu & Zheng Li & Yangfan Li, 2018. "Assessment of Blue Carbon Storage Loss in Coastal Wetlands under Rapid Reclamation," Sustainability, MDPI, vol. 10(8), pages 1-13, August.
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