TY - JOUR
T1 - Drivers and Patterns of Sediment Organic Carbon in European Regional Seas
AU - Lønborg, Christian
AU - Graversen, Anna Elizabeth Løvgren
AU - Addamo, Anna Maria
AU - Assis, Jorge
AU - Burrows, Michael Timothy
AU - Stewart, Eleanor
AU - Lillis, Helen
AU - Costello, Mark John
AU - Krause‐Jensen, Dorte
N1 - © 2026 The Author(s). Global Biogeochemical Cycles published by Wiley Periodicals LLC on behalf of American Geophysical Union.This is an open access article under the terms of the Creative Commons Attribution License, which permits use,distribution and reproduction in any medium, provided the original work is properly cited.
PY - 2026/8/16
Y1 - 2026/8/16
N2 - Mapping organic carbon (OC) stores in marine sediments is a management priority to potentially minimize the anthropogenic release of organic carbon from the seabed. Sediment OC content shows high regional variability, shaped by a complex interplay of physical, chemical, biological and anthropogenic factors. In this study, we present an assessment of the drivers and patterns of sediment OC across European regional seas, with a particular focus on the role of large-scale habitats, substratum characteristics, and environmental conditions. To investigate these relationships, we integrated data sets encompassing sediment OC, benthic habitats, sediment substrata and 11 environmental variables. Applying machine learning techniques, we identified wave exposure (estimated from wave fetch), light availability, seafloor geomorphic features, and maximum bottom water temperature as the most important environmental predictors of sediment OC content across European regional seas. While the model captured broad spatial patterns in sediment OC, it did not resolve local scale variability, making it better suited for regional assessments than for site-specific predictions. Overall, the highest OC contents were found in sediments underlying vegetated habitats such as Posidonia oceanica and other seagrass meadows as well as in mud, and mixed sediment substrata. OC hotspots were generally located in inshore areas with low wave fetch and temperature; these include areas of the Baltic Sea, North Sea, Adriatic Sea, Barents Sea, and the Black Sea. Our data-driven approach provides a robust foundation for identifying OC-rich sediments, which are critical for conservation planning and assessing anthropogenic impacts on marine OC.
AB - Mapping organic carbon (OC) stores in marine sediments is a management priority to potentially minimize the anthropogenic release of organic carbon from the seabed. Sediment OC content shows high regional variability, shaped by a complex interplay of physical, chemical, biological and anthropogenic factors. In this study, we present an assessment of the drivers and patterns of sediment OC across European regional seas, with a particular focus on the role of large-scale habitats, substratum characteristics, and environmental conditions. To investigate these relationships, we integrated data sets encompassing sediment OC, benthic habitats, sediment substrata and 11 environmental variables. Applying machine learning techniques, we identified wave exposure (estimated from wave fetch), light availability, seafloor geomorphic features, and maximum bottom water temperature as the most important environmental predictors of sediment OC content across European regional seas. While the model captured broad spatial patterns in sediment OC, it did not resolve local scale variability, making it better suited for regional assessments than for site-specific predictions. Overall, the highest OC contents were found in sediments underlying vegetated habitats such as Posidonia oceanica and other seagrass meadows as well as in mud, and mixed sediment substrata. OC hotspots were generally located in inshore areas with low wave fetch and temperature; these include areas of the Baltic Sea, North Sea, Adriatic Sea, Barents Sea, and the Black Sea. Our data-driven approach provides a robust foundation for identifying OC-rich sediments, which are critical for conservation planning and assessing anthropogenic impacts on marine OC.
KW - sediments
KW - total organic carbon
KW - spatial patterns
KW - environmental drivers
KW - machine learning
U2 - 10.1029/2026GB009100
DO - 10.1029/2026GB009100
M3 - Article
SN - 0886-6236
VL - 40
JO - Global Biogeochemical Cycles
JF - Global Biogeochemical Cycles
IS - 8
ER -