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Soil carbon in the world’s tidal marshes
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Mark D. Spalding ,
Daniel A. Friess,
Nicholas J. Murray ,
Kerrylee Rogers ,
Andre S. Rovai ,
Lindsey S. Smart,
Lukas Weilguny ,
Maria Fernanda Adame ,
Janine B. Adams ,
William E. N. Austin,
Margareth S. Copertino,
Grace M. Cott,
Micheli Duarte de Paula Costa ,
James R. Holmquist ,
Cai Ladd ,
Catherine E. Lovelock ,
Marvin Ludwig ,
Monica M. Moritsch,
Alejandro Navarro,
Jacqueline L. Raw ,
Ana-Carolina Ruiz-Fernández ,
Oscar Serrano,
Craig Smeaton ,
Marijn Van de Broek,
Lisamarie Windham-Myers,
Emily Landis,
Thomas A. Worthington
Nature Communications, Volume: 15, Issue: 1, Start page: 10265
Swansea University Author:
Cai Ladd
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© The Author(s) 2024. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License.
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DOI (Published version): 10.1038/s41467-024-54572-9
Abstract
Tidal marshes are threatened coastal ecosystems known for their capacity to store large amounts of carbon in their water-logged soils. Accurate quantification and mapping of global tidal marshes soil organic carbon (SOC) stocks is of considerable value to conservation efforts. Here, we used training...
| Published in: | Nature Communications |
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| ISSN: | 2041-1723 |
| Published: |
Springer Science and Business Media LLC
2024
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa68361 |
| Abstract: |
Tidal marshes are threatened coastal ecosystems known for their capacity to store large amounts of carbon in their water-logged soils. Accurate quantification and mapping of global tidal marshes soil organic carbon (SOC) stocks is of considerable value to conservation efforts. Here, we used training data from 3710 unique locations, landscape-level environmental drivers and a global tidal marsh extent map to produce a global, spatially explicit map of SOC storage in tidal marshes at 30 m resolution. Here we show the total global SOC stock to 1 m to be 1.44 Pg C, with a third of this value stored in the United States of America. On average, SOC in tidal marshes’ 0–30 and 30–100 cm soil layers are estimated at 83.1 Mg C ha−1 (average predicted error 44.8 Mg C ha−1) and 185.3 Mg C ha−1 (average predicted error 105.7 Mg C ha−1), respectively. |
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| College: |
Faculty of Science and Engineering |
| Funders: |
We thank Daniele Baisero, Thomas Ball, and Alison Eyres for methodological help. This project benefited from funding from the Bezos Earth Fund and other donors supporting the Nature Conservancy (T.A.W., E.L., and M.D.S.). LH Pérez-Bernal provided assistance in the geochemical analysis of sediment cores from Mexico. This work was performed using resources provided by the Cambridge Service for Data-Driven Discovery (CSD3) operated by the University of Cambridge Research Computing Service (www.csd3.cam.ac.uk), provided by Dell EMC and Intel using Tier-2 funding from the Engineering and Physical Sciences Research Council (capital grant EP/T022159/1), and DiRAC funding from the Science and Technology Facilities Council (www.dirac.ac.uk). Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. |
| Issue: |
1 |
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10265 |