IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-41870-x.html
   My bibliography  Save this article

Sustainably developing global blue carbon for climate change mitigation and economic benefits through international cooperation

Author

Listed:
  • Cuicui Feng

    (Zhejiang University
    Donghai Laboratory
    Second Institute of Oceanography, Ministry of Natural Resources)

  • Guanqiong Ye

    (Zhejiang University
    Donghai Laboratory
    Second Institute of Oceanography, Ministry of Natural Resources
    Hainan Institute of Zhejiang University)

  • Jiangning Zeng

    (Second Institute of Oceanography, Ministry of Natural Resources)

  • Jian Zeng

    (Zhejiang Institute of Hydraulics & Estuary)

  • Qutu Jiang

    (The University of Hong Kong)

  • Liuyue He

    (Zhejiang University
    Donghai Laboratory)

  • Yaowen Zhang

    (Zhejiang University)

  • Zhenci Xu

    (The University of Hong Kong)

Abstract

Blue carbon is the carbon storage in vegetated coastal ecosystems such as mangroves, salt marshes, and seagrass. It is gaining global attention as its role in climate change mitigation and local welfare growth. However, a global assessment on the long-term spatiotemporal sustainable development status of blue carbon has not been conducted, and the relations among blue carbon ecosystems, driving forces for climate change mitigation, and socioeconomic interventions for development capacity on a global scale are still unclear. Here, we constructed a blue carbon development index (BCDI), comprising three subsystems: driving force, resource endowment, and development capacity, to assess the sustainable development level of 136 coastal countries’ blue carbon over 24 consecutive years and explore the relationship among subsystems. We further propose a cooperation model to explore the feasibility of global blue carbon cooperation and quantify benefit allocation to specific countries. The results showed an upward trend in BCDI scores with variations in regional performance over the past two decades, and we found a positive correlation between development capacity and blue carbon resource endowment. Based on the scenario simulations of global cooperation, we found that coastal countries could improve the global average BCDI score, add 2.96 Mt of annual carbon sequestration, and generate $136.34 million in 2030 under Global Deep Cooperation scenario compared with the Business-As-Usual scenario.

Suggested Citation

  • Cuicui Feng & Guanqiong Ye & Jiangning Zeng & Jian Zeng & Qutu Jiang & Liuyue He & Yaowen Zhang & Zhenci Xu, 2023. "Sustainably developing global blue carbon for climate change mitigation and economic benefits through international cooperation," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41870-x
    DOI: 10.1038/s41467-023-41870-x
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-41870-x
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-41870-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bunting, P. & Rosenqvist, A. & Lucas, R. M. & Rebelo, Lisa-Maria & Thomas, N. & Hardy, A. & Itoh, T. & Shimada, M. & Finlayson, C. M., 2018. "The global mangrove watch - a New 2010 global baseline of mangrove extent," Papers published in Journals (Open Access), International Water Management Institute, pages 10(10):1-19.
    2. Zili Yang, 2008. "Strategic Bargaining and Cooperation in Greenhouse Gas Mitigations: An Integrated Assessment Modeling Approach," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262240548, December.
    3. Moulin, Herve, 1985. "The separability axiom and equal-sharing methods," Journal of Economic Theory, Elsevier, vol. 36(1), pages 120-148, June.
    4. Peter I. Macreadie & Andrea Anton & John A. Raven & Nicola Beaumont & Rod M. Connolly & Daniel A. Friess & Jeffrey J. Kelleway & Hilary Kennedy & Tomohiro Kuwae & Paul S. Lavery & Catherine E. Loveloc, 2019. "Author Correction: The future of Blue Carbon science," Nature Communications, Nature, vol. 10(1), pages 1-1, December.
    5. Perdan, Slobodan & Azapagic, Adisa, 2011. "Carbon trading: Current schemes and future developments," Energy Policy, Elsevier, vol. 39(10), pages 6040-6054, October.
    6. Carlos M. Duarte & Susana Agusti & Edward Barbier & Gregory L. Britten & Juan Carlos Castilla & Jean-Pierre Gattuso & Robinson W. Fulweiler & Terry P. Hughes & Nancy Knowlton & Catherine E. Lovelock &, 2020. "Rebuilding marine life," Nature, Nature, vol. 580(7801), pages 39-51, April.
    7. Zhenci Xu & Sophia N. Chau & Xiuzhi Chen & Jian Zhang & Yingjie Li & Thomas Dietz & Jinyan Wang & Julie A. Winkler & Fan Fan & Baorong Huang & Shuxin Li & Shaohua Wu & Anna Herzberger & Ying Tang & De, 2020. "Assessing progress towards sustainable development over space and time," Nature, Nature, vol. 577(7788), pages 74-78, January.
    8. Zhenci Xu & Yingjie Li & Sophia N. Chau & Thomas Dietz & Canbing Li & Luwen Wan & Jindong Zhang & Liwei Zhang & Yunkai Li & Min Gon Chung & Jianguo Liu, 2020. "Impacts of international trade on global sustainable development," Nature Sustainability, Nature, vol. 3(11), pages 964-971, November.
    9. Carlos M. Duarte & Iñigo J. Losada & Iris E. Hendriks & Inés Mazarrasa & Núria Marbà, 2013. "The role of coastal plant communities for climate change mitigation and adaptation," Nature Climate Change, Nature, vol. 3(11), pages 961-968, November.
    10. David S. Matteson & Ruey S. Tsay, 2017. "Independent Component Analysis via Distance Covariance," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 623-637, April.
    11. Holt, Charles C., 2004. "Forecasting seasonals and trends by exponentially weighted moving averages," International Journal of Forecasting, Elsevier, vol. 20(1), pages 5-10.
    12. Ghermandi, Andrea & Nunes, Paulo A.L.D., 2013. "A global map of coastal recreation values: Results from a spatially explicit meta-analysis," Ecological Economics, Elsevier, vol. 86(C), pages 1-15.
    13. Benjamin S. Halpern & Catherine Longo & Darren Hardy & Karen L. McLeod & Jameal F. Samhouri & Steven K. Katona & Kristin Kleisner & Sarah E. Lester & Jennifer O’Leary & Marla Ranelletti & Andrew A. Ro, 2012. "An index to assess the health and benefits of the global ocean," Nature, Nature, vol. 488(7413), pages 615-620, August.
    14. Katharine Ricke & Laurent Drouet & Ken Caldeira & Massimo Tavoni, 2018. "Country-level social cost of carbon," Nature Climate Change, Nature, vol. 8(10), pages 895-900, October.
    15. Christine Bertram & Martin Quaas & Thorsten B. H. Reusch & Athanasios T. Vafeidis & Claudia Wolff & Wilfried Rickels, 2021. "The blue carbon wealth of nations," Nature Climate Change, Nature, vol. 11(8), pages 704-709, August.
    16. Christine Bertram & Martin Quaas & Thorsten B. H. Reusch & Athanasios T. Vafeidis & Claudia Wolff & Wilfried Rickels, 2021. "Author Correction: The blue carbon wealth of nations," Nature Climate Change, Nature, vol. 11(10), pages 886-886, October.
    17. Valerie Hagger & Thomas A. Worthington & Catherine E. Lovelock & Maria Fernanda Adame & Tatsuya Amano & Benjamin M. Brown & Daniel A. Friess & Emily Landis & Peter J. Mumby & Tiffany H. Morrison & Kat, 2022. "Drivers of global mangrove loss and gain in social-ecological systems," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    18. Thomas, Sebastian, 2014. "Blue carbon: Knowledge gaps, critical issues, and novel approaches," Ecological Economics, Elsevier, vol. 107(C), pages 22-38.
    19. Merk, Christine & Grunau, Jonas & Riekhof, Marie-Catherine & Rickels, Wilfried, 2022. "The need for local governance of global commons: The example of blue carbon ecosystems," Kiel Working Papers 2201, Kiel Institute for the World Economy (IfW Kiel), revised 2022.
    20. Peter I. Macreadie & Andrea Anton & John A. Raven & Nicola Beaumont & Rod M. Connolly & Daniel A. Friess & Jeffrey J. Kelleway & Hilary Kennedy & Tomohiro Kuwae & Paul S. Lavery & Catherine E. Loveloc, 2019. "The future of Blue Carbon science," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
    21. Holt, Charles C., 2004. "Author's retrospective on 'Forecasting seasonals and trends by exponentially weighted moving averages'," International Journal of Forecasting, Elsevier, vol. 20(1), pages 11-13.
    22. Trisha B. Atwood & Rod M. Connolly & Hanan Almahasheer & Paul E. Carnell & Carlos M. Duarte & Carolyn J. Ewers Lewis & Xabier Irigoien & Jeffrey J. Kelleway & Paul S. Lavery & Peter I. Macreadie & Osc, 2017. "Global patterns in mangrove soil carbon stocks and losses," Nature Climate Change, Nature, vol. 7(7), pages 523-528, July.
    23. David Niemeijer & Rudolf Groot, 2008. "Framing environmental indicators: moving from causal chains to causal networks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 10(1), pages 89-106, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shufen Pang & Mazlinawati Abdul Majid & Hadinnapola Appuhamilage Chintha Crishanthi Perera & Mohammad Saydul Islam Sarkar & Jia Ning & Weikang Zhai & Ran Guo & Yuncheng Deng & Haiwen Zhang, 2024. "A Systematic Review and Global Trends on Blue Carbon and Sustainable Development: A Bibliometric Study from 2012 to 2023," Sustainability, MDPI, vol. 16(6), pages 1-31, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hagger, Valerie & Waltham, Nathan J. & Lovelock, Catherine E., 2022. "Opportunities for coastal wetland restoration for blue carbon with co-benefits for biodiversity, coastal fisheries, and water quality," Ecosystem Services, Elsevier, vol. 55(C).
    2. Yong, Wilson Thau Lym & Thien, Vun Yee & Rupert, Rennielyn & Rodrigues, Kenneth Francis, 2022. "Seaweed: A potential climate change solution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    3. Yuxin Zhang & Yifei Yang & Xiaosi Li & Zijing Yuan & Yuki Todo & Haichuan Yang, 2023. "A Dendritic Neuron Model Optimized by Meta-Heuristics with a Power-Law-Distributed Population Interaction Network for Financial Time-Series Forecasting," Mathematics, MDPI, vol. 11(5), pages 1-20, March.
    4. Simona Mikšíková & David Ulčák & František Kuda, 2022. "Analysis of Malfunctions in Selected Parking Systems in the Czech Republic," Sustainability, MDPI, vol. 14(3), pages 1-10, February.
    5. Liu, Che & Sun, Bo & Zhang, Chenghui & Li, Fan, 2020. "A hybrid prediction model for residential electricity consumption using holt-winters and extreme learning machine," Applied Energy, Elsevier, vol. 275(C).
    6. Hossein Yousefi & Mohammad Hasan Ghodusinejad & Armin Ghodrati, 2022. "Multi-Criteria Future Energy System Planning and Analysis for Hot Arid Areas of Iran," Energies, MDPI, vol. 15(24), pages 1-25, December.
    7. Dyna Heng & Anna Ivanova & Rodrigo Mariscal & Ms. Uma Ramakrishnan & Joyce Wong, 2016. "Advancing Financial Development in Latin America and the Caribbean," IMF Working Papers 2016/081, International Monetary Fund.
    8. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "The implications of monetary expansion in China for the US dollar," Journal of Asian Economics, Elsevier, vol. 46(C), pages 71-84.
    9. Kim, Yochan & Park, Jinkyun & Jung, Wondea, 2017. "A quantitative measure of fitness for duty and work processes for human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 595-601.
    10. Meira, Erick & Cyrino Oliveira, Fernando Luiz & de Menezes, Lilian M., 2022. "Forecasting natural gas consumption using Bagging and modified regularization techniques," Energy Economics, Elsevier, vol. 106(C).
    11. Guo-hua Ye & Mirxat Alim & Peng Guan & De-sheng Huang & Bao-sen Zhou & Wei Wu, 2021. "Improving the precision of modeling the incidence of hemorrhagic fever with renal syndrome in mainland China with an ensemble machine learning approach," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-13, March.
    12. Ahmed Belhadjayed & Grégoire Loeper & Frédéric Abergel, 2016. "Forecasting Trends With Asset Prices," Post-Print hal-01512431, HAL.
    13. Karzan Mahdi Ghafour & Abdulqadir Rahomee Ahmed Aljanabi, 2023. "The role of forecasting in preventing supply chain disruptions during the COVID-19 pandemic: a distributor-retailer perspective," Operations Management Research, Springer, vol. 16(2), pages 780-793, June.
    14. Fieger, Peter & Rice, John, 2016. "Modelling Chinese Inbound Tourism Arrivals into Christchurch," MPRA Paper 75468, University Library of Munich, Germany.
    15. Koopman, Siem Jan & Ooms, Marius, 2006. "Forecasting daily time series using periodic unobserved components time series models," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 885-903, November.
    16. Albrecht, Tobias & Rausch, Theresa Maria & Derra, Nicholas Daniel, 2021. "Call me maybe: Methods and practical implementation of artificial intelligence in call center arrivals’ forecasting," Journal of Business Research, Elsevier, vol. 123(C), pages 267-278.
    17. Yamamoto, Yuki, 2023. "Living under ecosystem degradation: Evidence from the mangrove–fishery linkage in Indonesia," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    18. Sprangers, Olivier & Schelter, Sebastian & de Rijke, Maarten, 2023. "Parameter-efficient deep probabilistic forecasting," International Journal of Forecasting, Elsevier, vol. 39(1), pages 332-345.
    19. Kosuke Kawakami & Hirokazu Kobayashi & Kazuhide Nakata, 2021. "Seasonal Inventory Management Model for Raw Materials in Steel Industry," Interfaces, INFORMS, vol. 51(4), pages 312-324, July.
    20. Hu, Yuntong & Xiao, Fuyuan, 2022. "A novel method for forecasting time series based on directed visibility graph and improved random walk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41870-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.