Processed aquatic eddy covariance measurements collected under hypoxic conditions from seven eddy covariance lander deployments made during summer cruises on the Oregon and Washington mid-shelf in 2018 and 2022

Website: https://www.bco-dmo.org/dataset/962251
Data Type: Other Field Results, Cruise Results
Version: 1
Version Date: 2025-05-30

Project
» Environmental consequences of expanded recruitment of an ecosystem engineer on a hypoxia-influenced continental shelf (Neotrypaea COP Effects)
ContributorsAffiliationRole
Henkel, Sarah K.Oregon State University (OSU)Principal Investigator
Reimers, Clare E.Oregon State University (OSU)Co-Principal Investigator, Scientist
Mickle, AudreyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This dataset includes time-series measurements from seven eddy covariance lander deployments made on the Oregon or Washington continental shelf at mean water depths ranging from 68-84 m in 2018 and 2022. Average dissolved oxygen concentrations during these deployments ranged from 17-75 micro moles per liter allowing assessments of benthic oxygen fluxes under hypoxic or near-hypoxic conditions. Reported are the sensor measurements of velocities (xyz coordinates), dissolved oxygen, and pressure processed and reduced by averaging to 8 Hz by Dr. Clare E. Reimers from Oregon State University.


Coverage

Location: Oregon and Washington Continental shelf between 44.5N and 46.5N at average depths of 68-84 meters.
Spatial Extent: N:46.45 E:-124.067 S:44.571 W:-124.313
Temporal Extent: 2018-07-03 - 2022-09-17

Methods & Sampling

Seven eddy covariance lander deployments were made on the Oregon or Washington continental shelf at mean water depths ranging from 68-84 m in 2018 during R/V Oceanus cruises OC1807A and OC1808A and in 2022 during R/V Robert Gordon Sproul cruises SP2215 and SP2219.

Data collected in 2018 (Deployments 1-3) were collected under NSF award OCE-1634319 to C. Reimers as part of a seasonal biogeochemical study of stations on the Newport Hydrographic line. Data collected in 2022 (Deployments 4-7) were from research under NSF award OCE-2126112 to S. Henkel and C. Reimers. These collections were combined with invertebrate infauna sampling at each station.

Aluminum lander frames, moored to floats at the sea surface, were the deployment and recovery platforms for the eddy covariance velocity, pressure and dissolved oxygen sensors. The eddy covariance sensors on the landers operated autonomously producing continuous datasets at 32 or 64 Hz that were reduced by averaging to 8 Hz and were 18.5-31.5 hours in duration. A Nortek Vector Acoustic Doppler Velocimeter (ADV) was mounted vertically with the probe pointing down. Sampling heights were measured from a bottom echo at the start of each ADV record and ranged from 27-31 cm above the seafloor. The ADV also recorded its heading, pitch and roll angles at 1 Hz and averages of these essentially constant measurements are reported, and in the results publication were used to transform velocity time series to ENU coordinates. Oxygen sensor tips were positioned approximately 2 cm outside of the ADV sampling volume.

Oxygen concentrations were derived after assembling calibration configuration files for each OXB430 sensor based on both “pre-” and “post-” deployment, in-laboratory, 0% and 100% air-saturation, sensor dphi recordings (i.e., values that represent the phase shift of the sensor’s NIR-emission relative to the red-light excitation) at a known temperature and atmospheric pressure. Next, these files were called by a Matlab function (provided by Rockland Scientific) to convert the sensor’s deployment record into physical units. The function inputs were data vectors of the sensor’s dphi readings, temperature, salinity, and water depth, in addition to the configuration files.

Temperature was either based on temperature measurements made by an onboard Seabird 16plus V2 CTD, an internal sensor in the ADV, interpolated records between independent near-bottom measurements during casts of the ship's CTD, or temperature measurements from the Ocean Observatories Initiative benthic node (for deployment 3). Salinity was based on the same CTD sources.


Data Processing Description

Calibration configuration files for each OXB430 sensor were based on both “pre-” and “post-” deployment, in-laboratory, 0% and 100% air-saturation, sensor dphi recordings (i.e., values that represent the phase shift of the sensor’s NIR-emission relative to the red-light excitation) at a known temperature and atmospheric pressure. These files were called by a Matlab function (provided by Rockland Scientific) to convert the sensor’s deployment record into physical units. The function inputs were data vectors of the sensor’s dphi readings, temperature, salinity, and water depth, in addition to the configuration files. 


BCO-DMO Processing Description

- Imported "D6NEH2_metadata.xlsx", "D7WLP1_metadata.xlsx", "D5NKW1_metadata.xlsx", "D2NH80_metadata.xlsx", "D3NH80_metadata.xlsx", "D4PWS2_metadata.xlsx", "D1NH80_metadata.xlsx" into the BCO-DMO system
- Concatenated data sources
- Split the filename into deployment and station strings
- Imported "D4PWS2JUL2022.dat", "D1NH80JUL2018.dat", "D3NH80AUG2018.dat", "D2NH80JUL2018.dat", "D7WLP1SEP2022.dat", "D5NKW1SEP2022.dat", "D6NEH2SEP2022ox2.dat", "D6NEH2SEP2022ox1.dat" into the BCO-DMO system
- Concatenated data sources
- Split the filename into deployment and station strings
- Joined metadata files and data files on the station and deployment identifiers
- Renamed fields for clarity and to comply with system requirements
- Removed Temp based on request from submitter
- Rounded Elapsed_time, Velocity_x, Velocity_y, Velocity_z, Dissolved_oxygen, Pressure, and Burst to 5 digits
- Exported file as "962251_v1_aquatic_eddy_covariance.csv"


Problem Description

Oxygen sensor spikes or dips caused by particle collisions, or real abrupt changes in dissolved oxygen, flow speed and/or direction are observed in some records.

[ table of contents | back to top ]

Data Files

File
962251_v1_aquatic_eddy_covariance.csv
(Comma Separated Values (.csv), 893.18 MB)
MD5:7efdcaaf8af8f4b7911d04d5076d9700
Primary data file for dataset ID 962251, version 1

[ table of contents | back to top ]

Related Publications

Reimers, C. E., & Fogaren, K. E. (2021). Bottom Boundary Layer Oxygen Fluxes During Winter on the Oregon Shelf. Journal of Geophysical Research: Oceans, 126(3). Portico. https://doi.org/10.1029/2020jc016828 https://doi.org/10.1029/2020JC016828
Methods
Reimers, C., Henkel, S., Fogaren, K., Chace, P., Hughes, A. and Wakefield, W. (2025) Dynamic Benthic Oxygen Fluxes Lessen Hypoxia Impacts on the Oregon-Washington Shelf. Limnology and Oceanography. (In Review)
Results

[ table of contents | back to top ]

Related Datasets

IsRelatedTo
Reimers, C. E. (2020) Seawater properties and biogeochemical parameters of bottom boundary layer samples collected aboard the R/V Oceanus during ten cruises from 2017-2019 from the Oregon shelf and slope. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-10-20 doi:10.26008/1912/bco-dmo.793115.1 [view at BCO-DMO]
Relationship Description: The function inputs for this data analysis used salinity measurements. This is one source of those measurements.

[ table of contents | back to top ]

Parameters

ParameterDescriptionUnits
Elapsed_time

Time in seconds since start of data record

seconds
Velocity_x

Velocity in X direction

cm/s
Velocity_y

Velocity in Y direction

cm/s
Velocity_z

Velocity in Z direction

cm/s
Dissolved_oxygen

Dissolved oxygen concentration

micromoles/L
Pressure

Pressure measured by Vector sensor

db
Matlab_Datenumber_Local

Date/Time of measurement in local time (U.S. Pacific); resolution 8 Hz. Matlab DateNumber.

unitless
Burst

15-min data segment number

unitless
ISO_DateTime_UTC

Date and time (UTC) in ISO 8601 format

unitless
Cruise

Cruise ID

unitless
St_ID

ID of target station

unitless
Deployment

Deployment number (1-7)

unitless
Oxy_sensor

Oxygen sensor used (Oxy1 or Oxy2)

unitless
Lat

Deployment latitude, south is negative

decimal degrees
Lon

Deployment longitude, west is negative

decimal degrees
Heading

ADV Heading

degrees
Pitch

ADV Pitch

degrees
Roll

ADV Roll

degrees
Height

ADV sampling volume height above bottom

cm


[ table of contents | back to top ]

Instruments

Dataset-specific Instrument Name
Acoustic Doppler Velocimeter (ADV)
Generic Instrument Name
Acoustic Doppler Velocimeter
Dataset-specific Description
A Nortek Vector Acoustic Doppler Velocimeter (ADV) was used to measure velocities in xyz coordinates and to measure pressure as well as compass heading, pitch and roll.
Generic Instrument Description
ADV is the acronym for acoustic doppler velocimeter. The ADV is a remote-sensing, three-dimensional velocity sensor. Its operation is based on the Doppler shift effect. The sensor can be deployed either as a moored instrument or attached to a still structure near the seabed. Reference: G. Voulgaris and J. H. Trowbridge, 1998. Evaluation of the Acoustic Doppler Velocimeter (ADV) for Turbulence Measurements. J. Atmos. Oceanic Technol., 15, 272–289. doi: http://dx.doi.org/10.1175/1520-0426(1998)0152.0.CO;2

Dataset-specific Instrument Name
Pyroscience fiber-optic oxygen sensors
Generic Instrument Name
Oxygen Sensor
Dataset-specific Description
Dissolved oxygen was measured with Pyroscience fiber-optic oxygen sensors activated through PyroScience FireStingO2-Subport modules enclosed in Delrin housings and interfaced with electronics provided by Rockland Scientific (Victoria, BC, Canada) so that digital data was sent to and logged by the Vector.
Generic Instrument Description
An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed

Dataset-specific Instrument Name
Seabird 16plusV2CTD
Generic Instrument Name
Sea-Bird SBE 16Plus V2 SEACAT
Dataset-specific Description
On some deployments temperature and salinity were measured at 0.1 Hz with a Seabird 16plusV2CTD attached to the lander frame and these measurements were extrapolated to 8 Hz to coincide with the eddy covariance records. 
Generic Instrument Description
The SBE 16plus V2 is a high accuracy conductivity and temperature recorder (pressure optional) with RS232 or RS485 interfaces. It is designed for moorings and other long-duration, fixed-site deployments. It has 6 amplified A/D input channels and conditioned power of 500 ma is available for auxiliary sensors, dissolved oxygen, turbidity, fluorescence, PAR etc. Compared to the previous 16plus, the V2 incorporates an electronics upgrade and additional features, with six differentially amplified A/D input channels, one RS-232 data input channel, and 64 MB FLASH memory. Data can be output in XML as well as ASCII and HEX formats. Firmware upgrades can be downloaded through the communications port, without opening the instrument.


[ table of contents | back to top ]

Deployments

OC1807A

Website
Platform
R/V Oceanus
Start Date
2018-07-03
End Date
2018-07-05
Description
More information is available at R2R: https://www.rvdata.us/search/cruise/OC1807A

OC1808A

Website
Platform
R/V Oceanus
Start Date
2018-08-02
End Date
2018-08-03

SP2215

Website
Platform
R/V Robert Gordon Sproul
Start Date
2022-07-22
End Date
2022-07-25
Description
More information is available at R2R: https://www.rvdata.us/search/cruise/SP2215

SP2219

Website
Platform
R/V Robert Gordon Sproul
Start Date
2022-09-14
End Date
2022-09-19
Description
More information is available at R2R: https://www.rvdata.us/search/cruise/SP2219


[ table of contents | back to top ]

Project Information

Environmental consequences of expanded recruitment of an ecosystem engineer on a hypoxia-influenced continental shelf (Neotrypaea COP Effects)

Coverage: NE Pacific continental shelf


NSF Award Abstract:
Highly productive US West Coast fishery species and marine mammals rely on benthic invertebrate communities for food. However, these communities are changing. This project addresses the potential ecological consequences of a new member to these benthic communities, the ghost shrimp Neotrypaea. In estuaries, Neotrypaea continuously rework the sediment via their burrowing activities. The combination of high shrimp abundances and the effects of burrowing mitigate the impacts of nutrient run-off (natural and human-induced) that can exacerbate low oxygen conditions. However, Neotrypaea are also considered threats to the oyster industry because of their sediment-excavating activities. An expansion of their distribution beyond estuaries may have additional unforeseen consequences for the Dungeness crab fishery (regionally valued at $33-74M/y) as Neotrypaea are both competitors with juveniles and prey for larger Dungeness crab. Thus, new data are needed to determine how offshore benthic communities are being altered by the recruitment of Neotrypaea into new habitats. This study is comparing communities with high and low shrimp abundances to understand their impact on offshore benthic communities. The shrimp’s contributions to oxygen and carbon cycling are being estimated through field measurements. Benthic community assessments are quantifying changes to food resources on the seafloor caused by the presence of these relatively large shrimp. The coastal waters along the Oregon-Washington shelf are commercially valuable, yet they are also subject to growing human-related impacts. Sustainable management requires optimizing extractive, cultural, and recreational activities. The broader impacts of this research include key data for managers, commercial fisheries’ stakeholders and oyster growers that inform decisions regarding ocean-use planning and management of burrowing shrimp. This project is providing research training for three graduate students and two summer undergraduate students. Curriculum development for elementary school students is focused on the ecology of soft-bottom benthos. The ocean sandy/muddy benthos are often unknown to K-12 students on the West Coast who are usually more familiar with intertidal and kelp forest systems.

Changing environmental conditions in shelf waters along the Oregon and Washington coasts and elsewhere have included increasingly frequent and severe hypoxia events, ocean acidification, and warming. These changes have affected biological communities and altered species distributions. An abundant mid-shelf population of the burrowing ghost shrimp, Neotrypaea sp. was documented in shelf waters following the Marine Heat Wave of 2015. Neotrypaea are ecosystem engineers that were previously known to be abundant in intertidal estuary mudflats with an insignificant presence in the open ocean. In estuaries Neotrypaea continuously rework the sediment via their burrowing activities. The shrimp can increase oxygen cycling due to burrow irrigation and reduce impacts of nutrient loading such as low-oxygen conditions. However, enhanced benthic oxygen consumption linked to Neotrypaea sp. beds could have the opposite effect on the shelf by intensifying regional hypoxia. This study is characterizing the environmental conditions associated with the expanded distribution of Neotrypaea using a habitat-suitability modeling approach. Model predictions are being validated through extensive field sampling via box coring and video lander observations. In addition, the benthic samples are documenting changes in the benthic invertebrate communities within the Neotrypaea beds and how this is potentially affecting biological interactions. Analyses of aquatic eddy covariance and of core incubations in shelf areas with and without abundant shrimp are providing estimates of the shrimp’s contribution to benthic oxygen fluxes and organic carbon cycling. These data are being used to quantify the shrimp’s and their burrows’ effects on the overall productivity of the mid-shelf benthos relative to reference areas. How Neotrypaea alter seafloor structure and biogeochemistry need to be characterized to predict the impact of these ecosystem engineers on the food supply for higher trophic levels and fisheries.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.



[ table of contents | back to top ]

Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Ocean Sciences (NSF OCE)

[ table of contents | back to top ]