Dataset: In situ sediment characteristics acquired in the shallow subtidal shore-accessible site in Bon Secour Bay, Mobile Bay, Alabama, USA between August 7-12, 2021

This dataset has not been validatedData not availableVersion 1 (2024-10-02)Dataset Type:Other Field Results

Student, Contact: Kara Gadeken (University of South Alabama; and Dauphin Island Sea Lab)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)


Project: CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna (Bioturbation and Ecosystem Engineering)


Abstract

This dataset is part of a field study examining the effect of diel oxygen cycling on faunal activity, and in turn sediment oxygen demand. The field experiment used in situ flow-through benthic chambers to measure oxygen consumption, as described in the methods paper Gadeken et al 2023. The chambers were deployed and retrieved in three ~24 hour deployments in a shallow subtidal area of Bon Secour Bay in Mobile Bay, AL, in August 2021. This dataset contains sediment characteristic information from...

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This dataset is part of a field study examining the effect of diel oxygen cycling on faunal activity, and in turn sediment oxygen demand. The field experiment used in situ flow-through benthic chambers to measure oxygen consumption, as described in the methods paper Gadeken et al 2023.

The chambers were deployed and retrieved in three ~24 hour deployments in a shallow subtidal area of Bon Secour Bay in Mobile Bay, AL, in August 2021.

This dataset contains sediment characteristic information from three cores taken within 10m of the deployment location. The coring was done with 10 cm diameter polycarbonate cores pushed into the sediment to extract 8 cm depth of sediment. This file documents the calculation process for porosity and organic matter (LOI).


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Results

Gadeken, K. J., Lockridge, G., & Dorgan, K. M. (2023). An in situ benthic chamber system for improved temporal and spatial resolution measurement of sediment oxygen demand. Limnology and Oceanography: Methods, 21(11), 645–655. Portico. https://doi.org/10.1002/lom3.10571