IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-32650-0.html
   My bibliography  Save this article

A global assessment of the mixed layer in coastal sediments and implications for carbon storage

Author

Listed:
  • Shasha Song

    (Ocean University of China
    Qingdao National Laboratory for Marine Science and Technology
    Ocean University of China)

  • Isaac R. Santos

    (University of Gothenburg
    Southern Cross University)

  • Huaming Yu

    (Ocean University of China
    Ocean University of China)

  • Faming Wang

    (Chinese Academy of Sciences)

  • William C. Burnett

    (Florida State University)

  • Thomas S. Bianchi

    (University of Florida)

  • Junyu Dong

    (Ocean University of China)

  • Ergang Lian

    (Tongji University)

  • Bin Zhao

    (Ocean University of China
    Qingdao National Laboratory for Marine Science and Technology)

  • Lawrence Mayer

    (University of Maine, Walpole)

  • Qingzhen Yao

    (Ocean University of China
    Qingdao National Laboratory for Marine Science and Technology)

  • Zhigang Yu

    (Ocean University of China
    Qingdao National Laboratory for Marine Science and Technology)

  • Bochao Xu

    (Ocean University of China
    Qingdao National Laboratory for Marine Science and Technology)

Abstract

The sediment-water interface in the coastal ocean is a highly dynamic zone controlling biogeochemical fluxes of greenhouse gases, nutrients, and metals. Processes in the sediment mixed layer (SML) control the transfer and reactivity of both particulate and dissolved matter in coastal interfaces. Here we map the global distribution of the coastal SML based on excess 210Pb (210Pbex) profiles and then use a neural network model to upscale these observations. We show that highly dynamic regions such as large estuaries have thicker SMLs than most oceanic sediments. Organic carbon preservation and SMLs are inversely related as mixing stimulates oxidation in sediments which enhances organic matter decomposition. Sites with SML thickness >60 cm usually have lower organic carbon accumulation rates (

Suggested Citation

  • Shasha Song & Isaac R. Santos & Huaming Yu & Faming Wang & William C. Burnett & Thomas S. Bianchi & Junyu Dong & Ergang Lian & Bin Zhao & Lawrence Mayer & Qingzhen Yao & Zhigang Yu & Bochao Xu, 2022. "A global assessment of the mixed layer in coastal sediments and implications for carbon storage," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32650-0
    DOI: 10.1038/s41467-022-32650-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-32650-0
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-32650-0?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. Léonard Seydoux & Randall Balestriero & Piero Poli & Maarten de Hoop & Michel Campillo & Richard Baraniuk, 2020. "Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    2. James E. Bauer & Wei-Jun Cai & Peter A. Raymond & Thomas S. Bianchi & Charles S. Hopkinson & Pierre A. G. Regnier, 2013. "The changing carbon cycle of the coastal ocean," Nature, Nature, vol. 504(7478), pages 61-70, December.
    3. Gavin D. Madakumbura & Chad W. Thackeray & Jesse Norris & Naomi Goldenson & Alex Hall, 2021. "Anthropogenic influence on extreme precipitation over global land areas seen in multiple observational datasets," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    4. Markus Reichstein & Gustau Camps-Valls & Bjorn Stevens & Martin Jung & Joachim Denzler & Nuno Carvalhais & Prabhat, 2019. "Deep learning and process understanding for data-driven Earth system science," Nature, Nature, vol. 566(7743), pages 195-204, February.
    5. Benoit P. Guillod & Boris Orlowsky & Diego G. Miralles & Adriaan J. Teuling & Sonia I. Seneviratne, 2015. "Reconciling spatial and temporal soil moisture effects on afternoon rainfall," Nature Communications, Nature, vol. 6(1), pages 1-6, May.
    6. Mark Schuerch & Tom Spencer & Stijn Temmerman & Matthew L. Kirwan & Claudia Wolff & Daniel Lincke & Chris J. McOwen & Mark D. Pickering & Ruth Reef & Athanasios T. Vafeidis & Jochen Hinkel & Robert J., 2018. "Future response of global coastal wetlands to sea-level rise," Nature, Nature, vol. 561(7722), pages 231-234, September.
    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. Li, Ruirui & Zhang, Luqing & Han, Zhenhua & Zhou, Jian & Wang, Song & Schüttrumpf, Holger, 2023. "Effect of interlayer mixed zone and effective stress on permeability anisotropy of NGH turbidite reservoir," Energy, Elsevier, vol. 284(C).

    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. Fabian Quichimbo-Miguitama & David Matamoros & Leticia Jiménez & Pablo Quichimbo-Miguitama, 2022. "Influence of Low-Impact Development in Flood Control: A Case Study of the Febres Cordero Stormwater System of Guayaquil (Ecuador)," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    2. Licheng Liu & Wang Zhou & Kaiyu Guan & Bin Peng & Shaoming Xu & Jinyun Tang & Qing Zhu & Jessica Till & Xiaowei Jia & Chongya Jiang & Sheng Wang & Ziqi Qin & Hui Kong & Robert Grant & Symon Mezbahuddi, 2024. "Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    3. Rozenstein, Offer & Fine, Lior & Malachy, Nitzan & Richard, Antoine & Pradalier, Cedric & Tanny, Josef, 2023. "Data-driven estimation of actual evapotranspiration to support irrigation management: Testing two novel methods based on an unoccupied aerial vehicle and an artificial neural network," Agricultural Water Management, Elsevier, vol. 283(C).
    4. repec:ags:aaea22:335970 is not listed on IDEAS
    5. Cossarini, G. & Querin, S. & Solidoro, C., 2015. "The continental shelf carbon pump in the northern Adriatic Sea (Mediterranean Sea): Influence of wintertime variability," Ecological Modelling, Elsevier, vol. 314(C), pages 118-134.
    6. Katrina L Poppe & John M Rybczyk, 2021. "Tidal marsh restoration enhances sediment accretion and carbon accumulation in the Stillaguamish River estuary, Washington," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-17, September.
    7. Jiang, Hou & Lu, Ning & Huang, Guanghui & Yao, Ling & Qin, Jun & Liu, Hengzi, 2020. "Spatial scale effects on retrieval accuracy of surface solar radiation using satellite data," Applied Energy, Elsevier, vol. 270(C).
    8. Danghan Xie & Christian Schwarz & Maarten G. Kleinhans & Karin R. Bryan & Giovanni Coco & Stephen Hunt & Barend van Maanen, 2023. "Mangrove removal exacerbates estuarine infilling through landscape-scale bio-morphodynamic feedbacks," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    9. Wen Zhang & Jing Li & Yunhao Chen & Yang Li, 2019. "A Surrogate-Based Optimization Design and Uncertainty Analysis for Urban Flood Mitigation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4201-4214, September.
    10. Feng, Jiaojiao & Wang, Weizhen & Xu, Feinan & Wang, Shengtang, 2024. "Evaluating the ability of deep learning on actual daily evapotranspiration estimation over the heterogeneous surfaces," Agricultural Water Management, Elsevier, vol. 291(C).
    11. Luisetti, Tiziana & Turner, R. Kerry & Andrews, Julian E. & Jickells, Timothy D. & Kröger, Silke & Diesing, Markus & Paltriguera, Lucille & Johnson, Martin T. & Parker, Eleanor R. & Bakker, Dorothee C, 2019. "Quantifying and valuing carbon flows and stores in coastal and shelf ecosystems in the UK," Ecosystem Services, Elsevier, vol. 35(C), pages 67-76.
    12. Guandong Li & Torbjörn E. Törnqvist & Sönke Dangendorf, 2024. "Real-world time-travel experiment shows ecosystem collapse due to anthropogenic climate change," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    13. Sèna Donalde Dolorès Marguerite Deguenon & Castro Gbêmêmali Hounmenou & Richard Adade & Oscar Teka & Ismaila Imorou Toko & Denis Worlanyo Aheto & Brice Sinsin, 2023. "Simulation of the Impacts of Sea-Level Rise on Coastal Ecosystems in Benin Using a Combined Approach of Machine Learning and the Sea Level Affecting Marshes Model," Sustainability, MDPI, vol. 15(22), pages 1-17, November.
    14. Jisesh Sethunadh & F. W. Letson & R. J. Barthelmie & S. C. Pryor, 2023. "Assessing the impact of global warming on windstorms in the northeastern United States using the pseudo-global-warming method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 2807-2834, July.
    15. Mohanad A. Deif & Ahmed A. A. Solyman & Mohammed H. Alsharif & Seungwon Jung & Eenjun Hwang, 2021. "A Hybrid Multi-Objective Optimizer-Based SVM Model for Enhancing Numerical Weather Prediction: A Study for the Seoul Metropolitan Area," Sustainability, MDPI, vol. 14(1), pages 1-17, December.
    16. Zhang, Shuangyi & Li, Xichen, 2021. "Future projections of offshore wind energy resources in China using CMIP6 simulations and a deep learning-based downscaling method," Energy, Elsevier, vol. 217(C).
    17. Florian Reiner & Martin Brandt & Xiaoye Tong & David Skole & Ankit Kariryaa & Philippe Ciais & Andrew Davies & Pierre Hiernaux & Jérôme Chave & Maurice Mugabowindekwe & Christian Igel & Stefan Oehmcke, 2023. "More than one quarter of Africa’s tree cover is found outside areas previously classified as forest," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    18. Jiang, Long & Xia, Meng, 2017. "Wind effects on the spring phytoplankton dynamics in the middle reach of the Chesapeake Bay," Ecological Modelling, Elsevier, vol. 363(C), pages 68-80.
    19. Wei-Jen Huang & Kai-Jung Kao & Li-Lian Liu & Chi-Wen Liao & Yin-Lung Han, 2018. "An Assessment of Direct Dissolved Inorganic Carbon Injection to the Coastal Region: A Model Result," Sustainability, MDPI, vol. 10(4), pages 1-10, April.
    20. Hao Su & Shuo Yang, 2022. "Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    21. Dong Liu & Kun Shi & Peng Chen & Nuoxiao Yan & Lishan Ran & Tiit Kutser & Andrew N. Tyler & Evangelos Spyrakos & R. Iestyn Woolway & Yunlin Zhang & Hongtao Duan, 2024. "Substantial increase of organic carbon storage in Chinese lakes," Nature Communications, Nature, vol. 15(1), pages 1-9, December.

    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:13:y:2022:i:1:d:10.1038_s41467-022-32650-0. 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.