Carbonate chemistry from Niskin bottle samples collected at Twanoh buoy in Hood Canal during R/V Clifford A. Barnes cruises CB1077 and CB1072 in 2017

Website: https://www.bco-dmo.org/dataset/826183
Data Type: Cruise Results
Version: 1
Version Date: 2020-11-10

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
Carbonate chemistry from Niskin bottle samples collected at Twanoh buoy in Hood Canal during R/V Clifford A. Barnes cruises CB1077 and CB1072 in 2017.


Coverage

Spatial Extent: Lat:47.38 Lon:-123.01
Temporal Extent: 2017-06-16 - 2018-07-16

Dataset Description

Hood Canal carbonate chemistry from Niskin bottle samples collected in 2017 at Twanoh buoy (47.38, -123.01).


Acquisition Description

Water for carbonate chemistry data were collected and analyzed according to Dickson et al., (2007).


Processing Description

Carbonate chemistry samples were collected and analyzed according to Dickson et al., (2007). AT was measured by open-cell potentiometric titration and CT was measured by acidification and quantification using a CO₂ coulometer (UIC model CM5015) at the University of Washington’s School of Oceanography. Certified Reference Materials were analyzed as an independent verification of instrument calibrations (Dickson et al. 2007). We calculated full carbonate parameters from AT and CT using the R package seacarb and constants from Lueker et al. (2000) and the total pH scale.

The pH data from CTD casts for each cruise should be corrected using an average offset to pH calculated from the five discrete AT and CT samples from that cruise.

BCO-DMO Processing:
- changed date formats to YYYY-MM-DD;
- renamed fields;
- added Latitude and Longitude columns.


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Parameters

ParameterDescriptionUnits
Date_CollectedDate collected (PDT); format: YYYY-MM-DD unitless
Date_RunDate run (PDT); format: YYYY-MM-DD unitless
CruiseCruise ID unitless
StationStation number unitless
LatitudeLatitude degrees North
LongitudeLongitude degrees East
Time_PDTTime (PDT); format: hh:mm:ss unitless
DepthDepth meters (m)
insitu_Tempin situ temperature degrees Celsius
SalinitySalinity PSU
DIC_umol_kgDissolved inorganic carbon micromoles per kilogram (umol/kg)
ATTotal alkalinity micromoles per kilogram (umol/kg)
PatmSurface atmosphereic pressure atmospheres (atm)
PHydrostatic pressure bars
pHpH unitless
CO2CO2 moles per kilogram (mol/kg)
fCO2Fugacity microatmospheres (uatm)
pCO2Partial pressure microatmospheres (uatm)
fCO2potFugacity potential microatmospheres (uatm)
pCO2potPartial pressure potential microatmospheres (uatm)
fCO2insituFugacity in situ microatmospheres (uatm)
pCO2insituPartial pressure in situ microatmospheres (uatm)
HCO3HCO3 moles per kilogram (mol/kg)
CO3CO3 moles per kilogram (mol/kg)
DIC_mol_kgDissolved inorganic carbon moles per kilogram (mol/kg)
ALKTotal alkalinity moles per kilogram (mol/kg)
OmegaAragoniteAragonite saturation state omega arg
OmegaCalciteCalcite saturation state omega cal


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Instruments

Dataset-specific Instrument Name
Niskin bottles
Generic Instrument Name
Niskin bottle
Dataset-specific Description
Water for carbonate chemistry data were collected with Niskin bottles.
Generic Instrument Description
A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.

Dataset-specific Instrument Name
UIC model CM5015
Generic Instrument Name
CO2 Coulometer
Dataset-specific Description
AT was measured by open-cell potentiometric titration and CT was measured by acidification and quantification using a CO₂ coulometer (UIC model CM5015) at the University of Washington's School of Oceanography
Generic Instrument Description
A CO2 coulometer semi-automatically controls the sample handling and extraction of CO2 from seawater samples. Samples are acidified and the CO2 gas is bubbled into a titration cell where CO2 is converted to hydroxyethylcarbonic acid which is then automatically titrated with a coulometrically-generated base to a colorimetric endpoint.


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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


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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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