1. Autogenic Signals in the Sedimentary Record of Organic Carbon Preservation.
- Author
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Hou, Yi and Torres, Mark A.
- Subjects
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POWER spectra , *CARBON cycle , *SEDIMENTATION & deposition , *CHEMOSTRATIGRAPHY , *BIOGEOCHEMICAL cycles - Abstract
The burial of organic carbon (OC) preserves paleoenvironmental archives and drives the evolution of Earth's biogeochemical cycles. While the impact of kinetic heterogeneity on OC preservation has been studied, the effects of sedimentation dynamics remain largely unknown. Here, we incorporate the expected stochastic variability in sedimentation rates into a reactive‐transport model, generate predictions for stratigraphic variability of OC burial efficiency, and compare the model outputs to field observations. We find that internal sedimentation dynamics profoundly influence OC preservation efficiencies and create autogenic signals that may obscure signals originated from external forcings. Simulations match observations in terms of power spectra when our model considers transient periods of erosion during net deposition, implying that the manifestation of sedimentation dynamics and their interactions with biogeochemistry in chemostratigraphic records are prevalent in nature. As sedimentary OC records reflect both internal variability and external forcing, they may be used as proxies for past depositional conditions. Plain Language Summary: In regions of sediment accumulation, the rates of deposition can vary in space and time even when factors like climatic conditions are kept constant. This type of "random" variability complicates the interpretation of the geologic record because many important chemical signals are affected by changes in sediment deposition rates. To explore the specific effects of random variability, we constructed a model with realistic, time‐varying sedimentation rates that tracks the burial and oxidation of organic matter. We chose organic matter because it is important to the global carbon cycle and is also commonly used to infer past environmental changes. We find that random changes in sedimentation rates can meaningfully impact organic matter burial and create patterns that look conspicuously like field observations interpreted as reflecting changes in environmental conditions. By predicting the patterns that can form randomly, our approach can help improve the interpretations of the geologic record. Key Points: Complex dynamics in sedimentation can profoundly influence organic carbon (OC) preservation efficiency, which has been largely overlookedAutogenic signals in OC burial can arise from sedimentation dynamics and may obscure signals originated from external forcingModel‐data comparison suggests the manifestation of sedimentation dynamics in chemostratigraphic records are prevalent in nature [ABSTRACT FROM AUTHOR]
- Published
- 2022
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