Contributors | Affiliation | Role |
---|---|---|
Henkel, Sarah K. | Oregon State University (OSU) | Principal Investigator |
Reimers, Clare E. | Oregon State University (OSU) | Co-Principal Investigator, Scientist |
Mickle, Audrey | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
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.
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.
- 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"
File |
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962251_v1_aquatic_eddy_covariance.csv (Comma Separated Values (.csv), 893.18 MB) MD5:7efdcaaf8af8f4b7911d04d5076d9700 Primary data file for dataset ID 962251, version 1 |
Parameter | Description | Units |
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 |
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. |
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 |
Website | |
Platform | R/V Oceanus |
Start Date | 2018-08-02 |
End Date | 2018-08-03 |
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 |
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 |
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.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) | |
NSF Division of Ocean Sciences (NSF OCE) |