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Global dataset of soil organic carbon in tidal marshes
Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, United Kingdom; Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.
Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, LA, Baton Rouge, United States; US Army Engineer Research and Development Center, MS, Vicksburg, United States.
Australian Rivers Institute, Centre for Marine and Coastal Research, Griffith University, QLD, Nathan, Australia.
DSI-NRF Research Chair in Shallow Water Ecosystems, Institute for Coastal Marine Research, Nelson Mandela University, PO Box 77000, Gqeberha, South Africa.
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2023 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 10, no 1, article id 797Article in journal (Refereed) Published
Abstract [en]

Tidal marshes store large amounts of organic carbon in their soils. Field data quantifying soil organic carbon (SOC) stocks provide an important resource for researchers, natural resource managers, and policy-makers working towards the protection, restoration, and valuation of these ecosystems. We collated a global dataset of tidal marsh soil organic carbon (MarSOC) from 99 studies that includes location, soil depth, site name, dry bulk density, SOC, and/or soil organic matter (SOM). The MarSOC dataset includes 17,454 data points from 2,329 unique locations, and 29 countries. We generated a general transfer function for the conversion of SOM to SOC. Using this data we estimated a median (± median absolute deviation) value of 79.2 ± 38.1 Mg SOC ha−1 in the top 30 cm and 231 ± 134 Mg SOC ha−1 in the top 1 m of tidal marsh soils globally. This data can serve as a basis for future work, and may contribute to incorporation of tidal marsh ecosystems into climate change mitigation and adaptation strategies and policies.

Place, publisher, year, edition, pages
Springer Nature, 2023. Vol. 10, no 1, article id 797
National Category
Oceanography, Hydrology and Water Resources
Identifiers
URN: urn:nbn:se:umu:diva-216899DOI: 10.1038/s41597-023-02633-xISI: 001103530600004PubMedID: 37952023Scopus ID: 2-s2.0-85176275086OAI: oai:DiVA.org:umu-216899DiVA, id: diva2:1816966
Funder
German Research Foundation (DFG), GI 171/25-1Available from: 2023-12-05 Created: 2023-12-05 Last updated: 2025-04-24Bibliographically approved

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Siewert, Matthias B.

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