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Abstract
The sediment-water interface in the coastal ocean is a highly dynamic zone controlling biogeochemical fluxes of greenhouse gases, nutrients, and metals. Processes in the sediment mixed layer (SML) control the transfer and reactivity of both particulate and dissolved matter in coastal interfaces. Here we map the global distribution of the coastal SML based on excess 210Pb (210Pbex) profiles and then use a neural network model to upscale these observations. We show that highly dynamic regions such as large estuaries have thicker SMLs than most oceanic sediments. Organic carbon preservation and SMLs are inversely related as mixing stimulates oxidation in sediments which enhances organic matter decomposition. Sites with SML thickness >60 cm usually have lower organic carbon accumulation rates (<50 g C m−2 yr−1) and total organic carbon/specific surface area ratios (<0.4 mg m−2). Our global scale observations reveal that reworking can accelerate organic matter degradation and reduce carbon storage in coastal sediments.
The authors map the global distribution of the mixed layer in coastal ocean sediments, based on a neural network model. These observations reveal that mixing can accelerate organic matter degradation and reduce carbon storage in the coastal ocean.
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1 Ocean University of China, Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Qingdao, P. R. China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263); Qingdao National Laboratory for Marine Science and Technology, Laboratory for Marine Ecology and Environmental Science, Qingdao, P. R. China (GRID:grid.484590.4) (ISNI:0000 0004 5998 3072); Ocean University of China, College of Chemistry and Chemical Engineering, Qingdao, P. R. China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263)
2 University of Gothenburg, Department of Marine Sciences, Göteborg, Sweden (GRID:grid.8761.8) (ISNI:0000 0000 9919 9582); Southern Cross University, National Marine Science Centre, School of Environment, Science and Engineering, Coffs Harbour, Australia (GRID:grid.1031.3) (ISNI:0000000121532610)
3 Ocean University of China, College of Oceanic and Atmospheric Sciences, Qingdao, P. R. China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263); Ocean University of China, Sanya Oceanographic Institution, Sanya, P. R. China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263)
4 Chinese Academy of Sciences, Xiaoliang Research Station for Tropical Coastal Ecosystems, Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, and the CAS engineering Laboratory for Ecological Restoration of Island and Coastal Ecosystems, South China Botanical Garden, Guangzhou, P.R. China (GRID:grid.9227.e) (ISNI:0000000119573309)
5 Florida State University, Department of Earth, Ocean, and Atmospheric Science, Tallahassee, USA (GRID:grid.255986.5) (ISNI:0000 0004 0472 0419)
6 University of Florida, Department of Geological Sciences, Gainesville, USA (GRID:grid.15276.37) (ISNI:0000 0004 1936 8091)
7 Ocean University of China, School of Computer Science and Technology, Qingdao, P. R. China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263)
8 Tongji University, State Key Laboratory of Marine Geology, Shanghai, P. R. China (GRID:grid.24516.34) (ISNI:0000000123704535)
9 Ocean University of China, Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Qingdao, P. R. China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263); Qingdao National Laboratory for Marine Science and Technology, Laboratory for Marine Ecology and Environmental Science, Qingdao, P. R. China (GRID:grid.484590.4) (ISNI:0000 0004 5998 3072)
10 University of Maine, Walpole, School of Marine Sciences, Maine, USA (GRID:grid.21106.34) (ISNI:0000000121820794)