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A global database of dissolved organic matter (DOM) concentration measurements in coastal waters (CoastDOM v1)

Lookup NU author(s): Dr Guenther Uher

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Measurements of dissolved organic carbon (DOC), nitrogen (DON), and phosphorus (DOP) con-centrations are used to characterize the dissolved organic matter (DOM) pool and are important components ofbiogeochemical cycling in the coastal ocean. Here, we present the first edition of a global database (CoastDOMv1; available at https://doi.org/10.1594/PANGAEA.964012, Lønborg et al., 2023) compiling previously pub-lished and unpublished measurements of DOC, DON, and DOP in coastal waters. These data are complementedby hydrographic data such as temperature and salinity and, to the extent possible, other biogeochemical variables(e.g. chlorophyll a, inorganic nutrients) and the inorganic carbon system (e.g. dissolved inorganic carbon andtotal alkalinity). Overall, CoastDOM v1 includes observations of concentrations from all continents. However,most data were collected in the Northern Hemisphere, with a clear gap in DOM measurements from the SouthernHemisphere. The data included were collected from 1978 to 2022 and consist of 62 338 data points for DOC,20 356 for DON, and 13 533 for DOP. The number of measurements decreases progressively in the sequenceDOC > DON > DOP, reflecting both differences in the maturity of the analytical methods and the greater focuson carbon cycling by the aquatic science community. The global database shows that the average DOC concen-tration in coastal waters (average ± standard deviation (SD): 182 ± 314 μmol C L−1; median: 103 μmol C L−1) is13-fold higher than the average coastal DON concentration (13.6 ± 30.4 μmol N L−1; median: 8.0 μmol N L−1),which is itself 39-fold higher than the average coastal DOP concentration (0.34 ± 1.11 μmol P L−1; median:0.18 μmol P L−1). This dataset will be useful for identifying global spatial and temporal patterns in DOM and willhelp facilitate the reuse of DOC, DON, and DOP data in studies aimed at better characterizing local biogeochem-ical processes; closing nutrient budgets; estimating carbon, nitrogen, and phosphorous pools; and establishing abaseline for modelling future changes in coastal waters.


Publication metadata

Author(s): Lønborg C, Carreira C, Abril G, Agusti S, Amaral V, Andersson A, Aristegui J, Bhadury P, Bif MB, Borges AV, Bouillon S, Calleja ML, Cotovicz Jr LC, Cozzi S, Doval M, Duarte CM, Eyre B, Fichot CG, Garcia-Martin E, Garzon-Garcia A, Giani M, Goncalves-Araujo R, Gruber R, Hansell DA, Hashihama F, He D, Holding JM, Hunter WR, Ibanhez JSP, Ibello V, Jiang S, Kim G, Klun K, Kowalczuk P, Kubo A, Lee CW, Lopes CB, Maggioni F, Magni P, Marrase C, Martin P, McCallister SL, McCallum R, Medeiros PM, Moran XAG, Muller-Karger FE, Myers-Pigg A, Norli M, Oakes JM, Osterholz H, Park H, Paulsen ML, Rosentreter JA, Ross JD, Rueda-Roa D, Santinelli C, Shen Y, Teira E, Tinta T, Uher G, Wakita M, Ward N, Watanbe K, Xin Y, Yamashita Y, Yang L, Yeo J, Yuan H, Zheng Q, Álvarez-Salgado XA

Publication type: Article

Publication status: Published

Journal: Earth System Science Data

Year: 2024

Volume: 16

Issue: 2

Pages: 1107-1119

Online publication date: 27/02/2024

Acceptance date: 15/01/2024

Date deposited: 04/10/2023

ISSN (print): 1866-3508

ISSN (electronic): 1866-3516

Publisher: Copernicus Publications

URL: https://doi.org/10.5194/essd-16-1107-2024

DOI: 10.5194/essd-16-1107-2024

Data Access Statement: Data are available at https://figshare.com/s/512289eb43c4f8e8eaef


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Funding

Funder referenceFunder name
DiSeDOM (project contract no. UMO-2019/33/B/ST10/01232) funded by the NCN – National Science Centre
Fujian Provincial Central Guided Local Science and Technology Development Special Project (grant no. 2022L3078
National Natural Science Foundation of China (grant no. 42106040)
the Natural Environment Research Council (NE/N018087/1)
the Fundamental Research Funds for the Central Universities of China (grant no. 20720210076)
the Independent Research Fund Denmark (grant no.1127-00033B)

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