Global dataset of soil organic carbon in tidal marshes
Maxwell, T.L.; Rovai, A.S.; Adame, M.F.; Adams, J.B.; Álvarez-Rogel, J.; Austin, W.E.N.; Beasy, K.; Boscutti, F.; Böttcher, M.E.; Bouma, T.J.; Bulmer, R.H.; Burden, A.; Burke, S.A.; Camacho, S.; Chaudhary, D.R.; Chmura, G.L.; Copertino, M.; Cott, G.M.; Craft, C.; Day, J.; de los Santos, C.B.; Denis, L.; Ding, W.; Ellison, J.C.; Ewers Lewis, C.J.; Giani, L.; Gispert, M.; Gontharet, S.; González-Pérez, J.A.; González-Alcaraz, M.N.; Gorham, C.; Graversen, A.E.L.; Grey, A.; Guerra, R.; He, Q.; Holmquist, J.R.; Jones, A.R.; Juanes, J.A.; Kelleher, B.P.; Kohfeld, K.E.; Krause-Jensen, D.; Lafratta, A.; Lavery, P.S.; Laws, E.A.; Leiva-Dueñas, C.; Loh, P.S.; Lovelock, C.E.; Lundquist, C.J.; Macreadie, P.I.; Mazarrasa, I.; Megonigal, J.P.; Neto, J.M.; Nogueira, J.; Osland, M.J.; Pagès, J.F.; Perera, N.; Pfeiffer, E.-M.; Pollmann, T.; Raw, J.L.; Recio, M.; Ruiz-Fernández, A.C.; Russell, S.K.; Rybczyk, J.M.; Sammul, M.; Sanders, C.; Santos, R.; Serrano, O.; Siewert, M.; Smeaton, C.; Song, Z.; Trasar-Cepeda, C.; Twilley, R.R.; Van de Broek, M.; Vitti, S.; Antisari, L.V.; Voltz, B.; Wails, C.N.; Ward, R.D.; Ward, M.; Wolfe, J.; Yang, R.; Zubrzycki, S.; Landis, E.; Smart, L.; Spalding, M.; Worthington, T.A. (2023). Global dataset of soil organic carbon in tidal marshes. Scientific Data 10(1). https://dx.doi.org/10.1038/s41597-023-02633-x In: Scientific Data. Nature Publishing Group: London. ISSN 2052-4463; e-ISSN 2052-4463, more |   |
| Author keywords | Carbon cycle; Geochemistry |
| Abstract | 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. |
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