Table of Contents

• Dataset Description
  • Methods & Sampling
  • Data Processing Description
• Data Files
• Parameters
• Instruments
• Deployments
• Project Information
• Funding

This dataset includes O2, pH, temperature, salinity, chlorophyll and turbidity data from a data sonde located within the water column near eddy covariance instrument

Related Reference:

Long MH, Charette MA, Martin WR, McCorkle DC. (2015) Oxygen metabolism and pH in coastal ecosystems: Eddy Covariance Hydrogen ion and Oxygen Exchange System (ECHOES). Limnology and Oceanography: Methods. DOI: 10.1002/lom3.10038

Related Datasets:

Datasonde in a light chamber
Eddy covariance proton and oxygen flux data

A multi-sensor data sonde (MS5; Hydrolab, USA) was mounted at the same height as the ADV measuring volume (0.30 m) and monitored the O2, pH, temperature, and salinity of the water column. The data sonde pH sensor and the H+ ISFET sensor were calibrated, pre- and post-deployment, using NIST-traceable pH buffers. These calibrations provided the slope (mV per pH unit) for the sensors and the data sonde, which was then temperature and salinity corrected using in situ data. The data sonde pH was primarily used as a check on the calibration of the ISFET sensor.

MATLAB code was developed to calculate the EC fluxes. Several data treatment procedures were tested; most of them were adapted from commonly used calculation procedures for terrestrial eddy covariance measurements (e.g. Baldocchi et al. 2003).  The flux was determined over periods of 0.25 h. Data were averaged to 8Hz for flux calculations due to the ~ 10 Hz sample output refresh rate of the O₂ optode meter. The fluctuating components of the vertical velocity, O₂ and H⁺ (Eq. 1), were determined by Reynolds decomposition with the means determined by a running average window of 5 minutes, which was identified to be the optimal time period for maintaining a constant flux signal while removing non-turbulent fluctuations (McGinnis et al. 2008).

Inherent in the high-frequency ADV velocity data were anomalous spikes that contaminated the EC signal. These velocity data spikes were replaced with interpolated data using existing MATLAB de-spiking procedures described by Goring and Nikora (2002) that resulted in the interpolation of <1 % of the vertical velocities used to calculate the flux. The ECHOES H⁺ and O₂ signals were compared to the water column data sonde measurements to verify that the sensors had not malfunctioned by confirming that the real-time correlation between sensors and data sonde matched that of the overall correlation (i.e. the calibration curves). All signals were then examined manually to remove any further data spikes that were due to malfunction, fouling, or debris contacting the sensors. A GoPro camera (HERO2, GoPro, USA) on the ECHOES frame helped identify fouling of the sensors. Due to the difficulty of accurately leveling the instrument in the field, and the resulting potential to bias the vertical velocity measurements, a planar rotation was used based on the methods described by Lorke et al. (2013) that uses an average rotation angle for the different current directions.

The benthic chamber fluxes were calculated from the change in O₂, H⁺, DIC and TA concentrations in the chambers through time, using the known volume and sediment surface area of the chamber. Corrections for the removal of water for DIC and TA samples were included to account for the influx of ambient water, utilizing the measured water column conditions.

BCO-DMO Processing:

- added conventional header with dataset name, PI name, version date, reference information
- renamed parameters to BCO-DMO standard
- reformatted date

An aquatic eddy covariance (EC) system was developed to measure the exchange of oxygen (O₂) and hydrogen ions (H⁺) across the sediment-water interface. The system employs O₂ optodes and a newly developed micro-flow cell H⁺ ion selective field effect transistor; these sensors displayed sufficient precision and rapid enough response times to measure concentration changes associated with turbulent exchange. Discrete samples of total alkalinity and dissolved inorganic carbon (DIC) were used to determine the background carbonate chemistry of the water column and relate the O₂ and H⁺ fluxes to benthic processes. The ECHOES system was deployed in a eutrophic estuary (Waquoit Bay, Massachusetts, USA), and revealed that the benthos was a sink for acidity during the day and a source of acidity during the night, with H⁺ and O₂ fluxes of ± 0.0001 and ± 10 mmol m^-2 h^-1, respectively. H⁺ and O₂ fluxes were also determined using benthic flux chambers, for comparison with the EC rates. Chamber fluxes determined in 0.25 h intervals co-varied with EC fluxes but were ~4 times lower in magnitude. This difference was likely due to suppressed porewater advection in the chambers and changes in the chemistry of the enclosed chamber overlying water. The individual H⁺ and O₂ fluxes were highly correlated in each data set (EC and chambers), and both methods yielded H⁺ fluxes that could not be explained by O₂ metabolism alone. The ECHOES system provides a new tool for determining the influence of benthic biogeochemical cycling on coastal ocean acidification and carbon cycling.