Nature CommunicationsEcologyPeer-reviewed journal article
Soil carbon in the world's tidal marshes
Tania L. MaxwelliD, Mark D. SpaldingiD, Daniel A. FriessiD, Nicholas MurrayiD, Kerrylee RogersiD, André RovaiiD, Lindsey S. SmartiD, Lukas WeilgunyiD, María Fernanda AdameiD, Janine Barbara AdamsiD, William E. N. AustiniD, Margareth CopertinoiD, Grace M. CottiD, Micheli Duarte de Paula CostaiD, James R. HolmquistiD, C. J. T. LaddiD, Catherine E. LovelockiD, Marvin LudwigiD, Monica M. MoritschiD, Alejandro NavarroiD, Jacqueline L. RawiD, Ana Carolina Ruíz-FernándeziD, Óscar SerranoiD, Craig SmeatoniD, Marijn Van de BroekiD, , Thomas A. WorthingtoniD
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 3,710 unique locations, landscape-level environmental drivers and a newly developed global tidal marsh extent map to produce the first global, spatially-explicit map of SOC storage in tidal marshes at 30 m resolution. We estimate 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. Our spatially-explicit model is able to capture 59% of the variability in SOC density, with elevation being the strongest driver aside from soil depth. Our study reveals regions with high prediction uncertainty and therefore highlights the need for more targeted sampling to fully capture SOC spatial variability.
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