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Spatiotemporal Change and the Natural–Human Driving Processes of a Megacity’s Coastal Blue Carbon Storage

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  • Wenbo Cai

    (School of Design & China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China
    School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
    State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China)

  • Qing Zhu

    (School of Design & China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Meitian Chen

    (School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China)

  • Yongli Cai

    (School of Design & China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

Coastal blue carbon storage (CBCS) plays a key role in addressing global climate change and realizing regional carbon neutrality. Although blue carbon has been studied for some years, there is little understanding of the influence of a megacity’s complex natural and human-driven processes on CBCS. Taking the Shanghai coastal area as an example, this study investigated the spatiotemporal change in CBCS using the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model during 1990–2015, and analyzed the response of the CBCS to a megacity’s complex natural- and human-driven processes through a land use/land cover transition matrix and hierarchical clustering. The results were as follows: (1) Thirty-three driving processes were identified in the study area, including four natural processes (e.g., accretion, succession, erosion, etc.), two human processes (reclamation and restoration) and twenty-seven natural–human coupled processes; they were further combined into single and multiple processes with positive and negative influences on the CBCS into four types (Mono+, Mono−, Multiple+ and Multiple− driving processes). (2) Shanghai’s CBCS increased from 1659.44 × 10 4 Mg to 1789.78 ×10 4 Mg, though the amount of Shanghai’s coastal carbon sequestration showed a decreasing trend in three periods: 51.28 × 10 4 Mg in 1990–2000, 42.90 × 10 4 Mg in 2000–2009 and 36.15 × 10 4 Mg in 2009–2015, respectively. (3) There were three kinds of spatiotemporal patterns in the CBCS of this study area: high adjacent to the territorial land, low adjacent to the offshore waters in 1990; high in the central part, low in the peripheral areas in 2009 and 2015; and a mixed pattern in 2000. These patterns resulted from the different driving processes present in the different years. This study could serve as a blueprint for restoring and maintaining the CBCS of a megacity, to help mitigate the conflicts between socioeconomic development and the conservation of the CBCS, especially in the Shanghai coastal area.

Suggested Citation

  • Wenbo Cai & Qing Zhu & Meitian Chen & Yongli Cai, 2021. "Spatiotemporal Change and the Natural–Human Driving Processes of a Megacity’s Coastal Blue Carbon Storage," IJERPH, MDPI, vol. 18(16), pages 1-17, August.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:16:p:8879-:d:619955
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    References listed on IDEAS

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    1. Jiangfeng She & Zhongqing Guan & Fangfang Cai & Lijie Pu & Junzhong Tan & Tao Chen, 2017. "Simulation of Land Use Changes in a Coastal Reclaimed Area with Dynamic Shorelines," Sustainability, MDPI, vol. 9(3), pages 1-19, March.
    2. Kakoli Banerjee & Abhijit Mitra & Sebastián Villasante, 2021. "Carbon Cycling in Mangrove Ecosystem of Western Bay of Bengal (India)," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
    3. 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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    Cited by:

    1. Wanting Peng & Duoduo Wang & Yongli Cai, 2021. "Assessing Ecological Vulnerability under Climate Change and Anthropogenic Influence in the Yangtze River Estuarine Island-Chongming Island, China," IJERPH, MDPI, vol. 18(21), pages 1-19, November.

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