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Global dataset of soil organic carbon in tidal marshes

by Álvarez-Rogel, José , Universidad de Cantabria , Chaudhary, Doongar R , Rovai, André S , Chmura, Gail L , Burke, Shannon A , Mazarrasa Elosegui, Ines , Adame, Maria Fernanda , Bouma, Tjeerd J , Boscutti, Francesco , Adams, Janine B , Recio Espinosa, María , Böttcher, Michael E , Camacho, Saritta , Beasy, Kim , Austin, William E. N , Maxwell, Tania L , Juanes de la Peña, José A , Bulmer, Richard H , Burden, Annette

in 704/172/169/209 / 704/47/4113 / Carbon / Climate change / Continental interfaces, environment / Data Descriptor / Datasets / Environmental Sciences / Humanities and Social Sciences / Marshes / multidisciplinary / Ocean, Atmosphere / Organic carbon / Organic matter / Organic soils / Science / Science (multidisciplinary) / Sciences of the Universe / Soil depth / Soil erosion / Wetlands

2023

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Global dataset of soil organic carbon in tidal marshes

2023

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Global dataset of soil organic carbon in tidal marshes

2023

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Journal Article

Global dataset of soil organic carbon in tidal marshes

Álvarez-Rogel, José,

Universidad de Cantabria,

Chaudhary, Doongar R,

Rovai, André S,

Chmura, Gail L,

Burke, Shannon A,

Mazarrasa Elosegui, Ines,

Adame, Maria Fernanda,

Bouma, Tjeerd J,

Boscutti, Francesco,

Adams, Janine B,

Recio Espinosa, María,

Böttcher, Michael E,

Camacho, Saritta,

Beasy, Kim,

Austin, William E. N,

Maxwell, Tania L,

Juanes de la Peña, José A,

Bulmer, Richard H,

Burden, Annette

2023

Overview

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 30cm and 231±134 Mg SOC ha?1 in the top 1m 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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Publisher

Springer Nature,Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio

Subject

704/172/169/209

/ 704/47/4113

/ Carbon

/ Climate change

/ Continental interfaces, environment

/ Data Descriptor

/ Datasets