Dataset: Time series of oxygen, nitrate, methane concentrations and methane oxidation rates of the Santa Barbara Basin deep water column from 2019-2020 (BASIN project)

Final no updates expectedDOI: 10.26008/1912/bco-dmo.872703.1Version 1 (2022-04-05)Dataset Type:Cruise ResultsDataset Type:experimental

Principal Investigator: David L. Valentine (University of California-Santa Barbara)

Co-Principal Investigator: Tina Treude (University of California-Los Angeles)

Scientist: Franklin S. Kinnaman (University of California-Santa Barbara)

Student: Kelsey M. Gosselin (University of California-Santa Barbara)

Student: Na Liu (University of California-San Diego Scripps)

Student, Contact: Qianhui Qin (University of California-Santa Barbara)

BCO-DMO Data Manager: Sawyer Newman (Woods Hole Oceanographic Institution)


Project: Collaborative Research: Chemical and microbiological studies of water-soluble alkanes in the ocean (CASA)

Project: Collaborative Research: Do benthic feedbacks couple sulfur, nitrogen and carbon biogeochemistry during transient deoxygenation? (BASIN)


Abstract

Time series of water column parameters (oxygen, nitrate, methane concentrations and methane oxidation rates) are sampled and measured to show the changes related to methane biogeochemistry during a deoxygenation and reoxygenation event in the deep Santa Barbara water column (440-583m).

Methodology: 

Sampling and analytical procedures: 


Densities were calculated from CTD-measured parameters (Seabird SBE 19plusV2 Seacat Profiler system).

Methane concentrations were measured by headspace equilibration method, modified from Kinnaman et al., 2007.

Oxygen concentrations were measured by ODF Winkler titration method.

Nitrate concentrations were measured by flow injection analysis (FIA) using the QuikChem 8500 Series 2 (Lachat Instruments, Zellweger Analytics Inc.)

Fractional methane turnover rates were analyzed based on the 3H-labeled methane incubation protocol by Bussmann et al., 2015.

Methane oxidation rates were calculated assuming adherence to the first-order rate law, by multiplying fractional methane turnover rate and ambient methane concentration (Valentine et al., 2001).

Samples were collected from R/V Connell and R/V Atlantis.


Related Datasets

IsRelatedTo

Dataset: Initial Methane Concentration Alteration Data
Relationship Description: Time series of oxygen, nitrate, methane concentrations and methane oxidation rates of the Santa Barbara Basin deep water column. Methane oxidation rates were measured using the method confirmed by the time course experiment, and the initial methane and oxygen alteration experiments.
Qin, Q., Valentine, D. L., Treude, T., Kinnaman, F. S., Gosselin, K. M., Liu, N. (2022) Initial Methane Concentration Alteration Experiment Data of the Deep Santa Barbara Basin Water Column from October 2019 (BASIN project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-04-05 doi:10.26008/1912/bco-dmo.872652.1

Related Publications

Results

Qin, Q., Kinnaman, F. S., Gosselin, K. M., Liu, N., Treude, T., & Valentine, D. L. (2022). Seasonality of water column methane oxidation and deoxygenation in a dynamic marine environment. Geochimica et Cosmochimica Acta, 336, 219–230. https://doi.org/10.1016/j.gca.2022.09.017
Methods

Bussmann, I., Matousu, A., Osudar, R., & Mau, S. (2015). Assessment of the radio 3 H-CH4 tracer technique to measure aerobic methane oxidation in the water column. Limnology and Oceanography: Methods, 13(6), 312–327. doi:10.1002/lom3.10027
Methods

Valentine, D. L., Blanton, D. C., Reeburgh, W. S., & Kastner, M. (2001). Water column methane oxidation adjacent to an area of active hydrate dissociation, Eel river Basin. Geochimica et Cosmochimica Acta, 65(16), 2633–2640. doi:10.1016/s0016-7037(01)00625-1
Related Research

Kinnaman, F. S., Valentine, D. L., & Tyler, S. C. (2007). Carbon and hydrogen isotope fractionation associated with the aerobic microbial oxidation of methane, ethane, propane and butane. Geochimica et Cosmochimica Acta, 71(2), 271–283. doi:10.1016/j.gca.2006.09.007