CTD profiles of temperature, oxygen, salinity, density, fluorescence, PAR, and pH collected in Hood Canal on cruises CB1072, CB1077, and RC008 during 2017 and 2018

Website: https://www.bco-dmo.org/dataset/826281
Data Type: Cruise Results
Version: 1
Version Date: 2020-10-09

Project
» Causes and consequences of hypoxia and pH impacts on zooplankton: Linking movement behavior to vertical distribution. (Zooplankton Swimming)
ContributorsAffiliationRole
Keister, Julie E.University of Washington (UW)Principal Investigator, Contact
Grunbaum, DanielUniversity of Washington (UW)Co-Principal Investigator
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
CTD profiles of temperature, oxygen, salinity, density, fluorescence, PAR, and pH collected in Hood Canal on cruises CB1072, CB1077, and RC008 during 2017 and 2018.


Coverage

Spatial Extent: N:47.42 E:-123.01 S:47.38 W:-123.11
Temporal Extent: 2017-06-13 - 2018-09-27

Dataset Description

CTD profiles of temperature, oxygen, salinity, density, fluorescence, PAR, and pH collected in Hood Canal on cruises CB1072, CB1077, and RC008 during 2017 and 2018.


Methods & Sampling

CTD data were collected from near surface to 5-10 m off the seafloor. Winkler titrations were used to calculate a calibration for oxygen data (equation provided, but not applied to this dataset).


Data Processing Description

CTD data from near surface to 5-10 m off the seafloor were processed using Sea Bird software to create 1-m data bins. Oxygen was aligned. Dates and times are in local time, PDT.

Based on modified Winkler titrations, the formula y = 0.9144x + 0.1975 can be applied to the CTD data to calibrate the "Oxygen, SBE 43 (mg/l)" for the 2017 cruises. The formula y = 0.9698x + 0.0691 can be applied for the 2018 cruises.

BCO-DMO Processing:
- concatenated data from separate cruises into one dataset;
- renamed fields.


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Data Files

File
CTD.csv
(Comma Separated Values (.csv), 485.90 KB)
MD5:adb2d7077fe2d58941d27c72b330d4de
Primary data file for dataset ID 826281

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Parameters

ParameterDescriptionUnits
year_month

Year and month (UTC) of cruise

unitless
cruise

Cruise identifier

unitless
file_name

Original file name

unitless
Density

Density

kilograms per cubic meter (Kg/m^3)
Depth

Depth (salt water)

meters (m)
Fluorescence

Fluorescence, WET Labs ECO-AFL/FL

milligrams per cubic meter (mg/m^3)
Latitude

Latitude

degrees North
Longitude

Longitude

degrees East
Oxygen_raw

Oxygen raw, SBE 43

volts (V)
Oxygen_SBE_43

Oxygen, SBE 43

milligrams per liter (mg/l)
Oxygen_saturation_Garcia_Gordon

Oxygen saturation, Garcia & Gordon

milligrams per liter (mg/l)
Oxygen_saturation_Weiss

Oxygen saturation, Weiss

milligrams per liter (mg/l)
PAR_Irradiance

PAR/ Irradiance, Biospherical/Licor

micromoles photons per square meter per second (umol photons/m^2/s^1)
pH

pH

unitless
Salinity_Practical

Salinity, Practical

PSU
Sound_Velocity_Delgrosso

Sound Velocity (Delgrosso)

meters per second (m/s)
Temperature

Temperature (ITS-9)

degrees Celsius
Voltage_0

Voltage 0

volts (V)
Voltage_1

Voltage 1

volts (V)
Voltage_2

Voltage 2

volts (V)
Voltage_3

Voltage 3

volts (V)
Voltage_4

Voltage 4

volts (V)
Voltage_5

Voltage 5

volts (V)
Voltage_6

Voltage 6

volts (V)
Voltage_7

Voltage 7

volts (V)
Descent_Rate

Descent Rate

meters per second (m/s)
Pressure_Temperature

Pressure Temperature

degrees Celsius
Pressure_db

Pressure, Digiquartz

decibars (db)
Pressure_psi

Pressure, Digiquartz

psi
Sound_Velocity_Chen_Millero

Sound Velocity (Chen-Millero)

meters per second (m/s)
Sound_Velocity_Wilson

Sound Velocity (Wilson)

meters per second (m/s)
Average_Sound_Velocity_Delgrosso

Average Sound Velocity (Delgrosso)

meters per second (m/s)
Oxygen_SBE_43_Aligned

Oxygen, SBE 43, offset corrected

milligrams per liter (mg/l)
Flag

flag

unitless


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Instruments

Dataset-specific Instrument Name
Sea-Bird SBE9 CTD
Generic Instrument Name
CTD Sea-Bird 9
Dataset-specific Description
Sea-Bird SBE9 CTD profiler equipped with a pH sensor (SBE 18), oxygen sensor (SBE 43), fluorometer (WETLabs ECO-AFL), and Niskin bottles.
Generic Instrument Description
The Sea-Bird SBE 9 is a type of CTD instrument package. The SBE 9 is the Underwater Unit and is most often combined with the SBE 11 Deck Unit (for real-time readout using conductive wire) when deployed from a research vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911. The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorometer, altimeter, etc.). Note that in most cases, it is more accurate to specify SBE 911 than SBE 9 since it is likely a SBE 11 deck unit was used. more information from Sea-Bird Electronics

Dataset-specific Instrument Name
SBE 18
Generic Instrument Name
pH Sensor
Dataset-specific Description
Sea-Bird SBE9 CTD profiler equipped with a pH sensor (SBE 18), oxygen sensor (SBE 43), fluorometer (WETLabs ECO-AFL), and Niskin bottles. 
Generic Instrument Description
An instrument that measures the hydrogen ion activity in solutions. The overall concentration of hydrogen ions is inversely related to its pH.  The pH scale ranges from 0 to 14 and indicates whether acidic (more H+) or basic (less H+). 

Dataset-specific Instrument Name
SBE 43
Generic Instrument Name
Sea-Bird SBE 43 Dissolved Oxygen Sensor
Dataset-specific Description
Sea-Bird SBE9 CTD profiler equipped with a pH sensor (SBE 18), oxygen sensor (SBE 43), fluorometer (WETLabs ECO-AFL), and Niskin bottles.
Generic Instrument Description
The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. more information from Sea-Bird Electronics

Dataset-specific Instrument Name
WETLabs ECO-AFL
Generic Instrument Name
Wet Labs ECO-AFL/FL Fluorometer
Dataset-specific Description
Sea-Bird SBE9 CTD profiler equipped with a pH sensor (SBE 18), oxygen sensor (SBE 43), fluorometer (WETLabs ECO-AFL), and Niskin bottles.
Generic Instrument Description
The Environmental Characterization Optics (ECO) series of single channel fluorometers delivers both high resolution and wide ranges across the entire line of parameters using 14 bit digital processing. The ECO series excels in biological monitoring and dye trace studies. The potted optics block results in long term stability of the instrument and the optional anti-biofouling technology delivers truly long term field measurements. more information from Wet Labs


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Deployments

CB1077

Website
Platform
R/V Clifford A. Barnes
Start Date
2017-08-15
End Date
2017-08-22
Description
Cruise plan: August_cruise_plan.pdf

CB1072

Website
Platform
R/V Clifford A. Barnes
Start Date
2017-06-13
End Date
2017-06-20
Description
Cruise Plan: June_cruise_plan.pdf

RC008

Website
Platform
R/V Rachel Carson
Report
Start Date
2018-09-18
End Date
2018-09-26


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Project Information

Causes and consequences of hypoxia and pH impacts on zooplankton: Linking movement behavior to vertical distribution. (Zooplankton Swimming)

Coverage: Puget Sound, WA


NSF Award Abstract:
Low oxygen (hypoxia) and low pH are known to have profound physiological effects on zooplankton, the microscopic animals of the sea. It is likely that many individual zooplankton change vertical mirgration behaviors to reduce or avoid these stresses. However, avoidance responses and their consequences for zooplankton distributions, and for interactions of zooplankton with their predators and prey, are poorly understood. This study will provide information on small-scale behavioral responses of zooplankton to oxygen and pH using video systems deployed in the field in a seasonally hypoxic estuary. The results will deepen our understanding of how zooplankton respond to low oxygen and pH conditions in ways that could profoundly affect marine ecosystems and fisheries through changes in their populations and distributions. This project will train graduate students and will engage K-12 students and teachers in under-served coastal communities by developing ocean technology-based citizen-scientist activities and curricular materials in plankton ecology, ocean change, construction and use of biological sensors, and quantitative analysis of environmental data.

Individual directional motility is a primary mechanism underlying spatio-temporal patterns in zooplankton population distributions. Motility is used by most zooplankton species to select among water column positions that differ in biotic and abiotic variables such as prey, predators, light, oxygen concentration, and pH. Species-specific movement responses to de-oxygenation and acidification are likely mechanisms through which short-term, localized impacts of these stressful conditions on individual zooplankton will be magnified or suppressed as they propagate up to population, community, and ecosystem-level dynamics. This study will quantify responses by key zooplankton species to oxygen and pH using in situ video systems to measure changes in individual behavior in hypoxic, low- pH versus well-oxygenated, high-pH regions of a seasonally hypoxic estuary. Distributions and movements of zooplankton will be quantified using three approaches: 1) an imaging system deployed in situ on a profiling mooring over two summers in a hypoxic region, 2) imagers deployed on Lagrangian drifters to sample simultaneously throughout the water column, and 3) vertically-stratified pumps and net tows to verify species identification and video-based abundance estimates. These field observations will be combined with laboratory analysis of zooplankton movements in oxygen and pH gradients, and with spatially-explicit models to predict how behavioral mechanisms lead to large-scale impacts of environmental stresses.

The following deployments were conducted in 2017 and 2018:
CB1077: https://www.bco-dmo.org/deployment/735746
CB1072: https://www.bco-dmo.org/deployment/735748
Zoocam_ORCA_Twanoh_2017: https://www.bco-dmo.org/deployment/735762
RC0008: https://www.bco-dmo.org/deployment/775288
Mooring ORCA_Hoodsport; NANOOS-APL4: https://www.bco-dmo.org/deployment/775291



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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