http://lod.bco-dmo.org/id/dataset/765108
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2019-04-17
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Carbon export from San Dieguito Lagoon from samples for seawater carbonate biogeochemistry between April 2014 and January 2015
2019-04-17
publication
2019-04-17
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-05-08
publication
https://doi.org/10.1575/1912/bco-dmo.765108.1
Andreas Andersson
University of California-San Diego Scripps
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Andersson, A. (2019) Carbon export from San Dieguito Lagoon from samples for seawater carbonate biogeochemistry between April 2014 and January 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-04-17 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.765108.1 [access date]
San Dieguito Lagoon Carbon export Dataset Description: <p>General study design:<br />
In this study, samples for seawater carbonate biogeochemistry were collected in the San Dieguito Lagoon (SDL) over the course of a year, both at the mouth of the lagoon during ebb tide and at stations spatially distributed across the lagoon at high tide. The study was designed to assess the lateral carbon flux from SDL to the coastal ocean, and how this changed under different environmental conditions.</p> Methods and Sampling: <p>Methods description:<br />
Between April 2014 and January 2015, discrete samples for total alkalinity (TA), dissolved inorganic carbon (DIC), total organic carbon (TOC), and nutrients (nitrate, nitrite, ammonium, phosphate, and silicate) were collected hourly from high tide to low tide at the mouth of SDL, both during the day and during the night. Samples for TA, DIC, and nutrients were also collected at ten different sites across the SDL during the day at high tide. For all samples collected, surface temperature, salinity, and dissolved oxygen were measured with handheld YSI multiprobe while discrete seawater samples were collected by hand at the surface following standard protocols.</p>
<p>Analytical Methods:<br />
Surface seawater samples were collected by hand at ~0.25 m depth using 250 ml Pyrex glass bottles and immediately fixed with 100 µL HgCl2 as per standard protocols (Dickson et al. 2007). A handheld YSI multiprobe Pro2030 was calibrated and used to measure temperature, salinity, and dissolved oxygen saturation at the time of sampling. All seawater samples were transported to the Scripps Coastal and Open Ocean Biogeochemistry lab and analyzed for TA via an open-cell potentiometric acid titration system developed at Scripps Institution of Oceanography (SIO) by A. Dickson (Dickson et al. 2007) and DIC via an automated infra-red inorganic carbon analyzer (AIRICA, Marianda Inc). Nutrient samples were filtered through a 0.45 um filter into acid-leached HDPE-containers, and kept frozen until analysis. They were analyzed at Oceanographic Data Facility at SIO <a href="http://(http://odf.ucsd.edu" target="_blank">(http://odf.ucsd.edu</a>) using a Seal Analytical continuous-flow AutoAnalyzer. TOC samples were collected in combusted glass-vial and acidified with trace-metal grade HCl. They were analyzed in the Aluwihare lab at SIO according to Pedler et al. (2014) by combusting an unfiltered sample and measuring CO2 gas concentration using a non-dispersive infrared detector.</p>
<p>Quality Control:<br />
Standard protocols were followed for sampling and analysis of seawater all parameters. The YSI multiprobe was calibrated prior to each sampling with an accuracy of ±0.2°C for temperature, ±0.3 g kg-1 for salinity, and ±2% for DO. The mean accuracy (TA±1 µmol kg-1, DIC ±1 µmol kg-1) and precision (TA±2 µmol kg-1, DIC ±2 µmol kg-1) of TA and DIC measurements were evaluated using certified reference materials (CRM) provided by the laboratory of A. Dickson at SIO and analyzed every 5 samples for DIC and ~10 samples for TA. The uncertainty of the nutrient measurements were reported as nitrate ±0.05 uM, nitrite ±0.05 uM, ammonium ±0.03 uM, silicate ±2-4 uM, and phosphate ±0.004 uM by ODF. The TOC method was reported with an uncertainty of ±5%.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1255042 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1255042
completed
Andreas Andersson
University of California-San Diego Scripps
858-822-2486
Scripps Institution of Oceanography 9500 Gilman Dr. #0244
La Jolla
CA
92093-0244
USA
aandersson@ucsd.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Lat
Lon
Date
Time
Temp
Sal
DO_pcnt
DIC
TA
TOC
PO4
Si
NO2
NO3
NH4
ISO_DateTime_Local
Automated Infra Red Inorganic Carbon Analyzer (AIRICA)
SEAL AutoAnalyzer 3 four-channel segmented flow analyzer
Shimadzu 500 V-CSN/TNM-1 TOC analysis system
Open-cell potentiometric acid titration system
Water Quality Multiprobe
theme
None, User defined
latitude
longitude
date
time of day
water temperature at measurement depth
salinity
O2 saturation
dissolved inorganic Carbon
total alkalinity (TA)
total organic Carbon
reactive phosphorus (PO4)
Silicon
Nitrite
Nitrate
Ammonium
ISO_DateTime_Local
featureType
BCO-DMO Standard Parameters
Inorganic Carbon Analyzer
Seal Analytical AutoAnalyser 3HR
Shimadzu TOC-V Analyzer
Titrator
Water Quality Multiprobe
instrument
BCO-DMO Standard Instruments
San_Dieguito_Lagoon_2014-15
service
Deployment Activity
San Dieguito Lagoon, CA
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
CAREER: Biogeochemical Modification of Seawater CO2 Chemistry in Near-Shore Environments: Effect of Ocean Acidification
https://osprey.bco-dmo.org/project/737878
CAREER: Biogeochemical Modification of Seawater CO2 Chemistry in Near-Shore Environments: Effect of Ocean Acidification
<p><em>NSF Award Abstract:</em><br />
Because of well-known chemical principles, changes in the CO2 chemistry of seawater in the open ocean as a result of rising atmospheric CO2 can be predicted very accurately. On the other hand, in near-shore environments, these projections are much more difficult because the CO2 chemistry is largely modified by biogeochemical processes operating on timescales of hours to months. To make predictions on how near-shore seawater CO2 chemistry will change in response to ocean acidification (OA), it is critical to consider the relative influence of net ecosystem production (NEP) and net ecosystem calcification (NEC), and how these processes might change in response to this major perturbation. Understanding how future OA will alter near-shore seawater CO2 chemistry and variability was identified as a major critical knowledge gap at the recent IPCC WG II/WG I workshop on impacts of ocean acidification on marine biology and ecosystems in January of 2011, and also at the International Ocean Acidification Network workshop in Seattle in June of 2012.</p>
<p>With funding from this CAREER award, a researcher at the Scripps Institute of Oceanography and his students will study how biogeochemical processes and the relative contributions from NEP and NEC modify seawater CO2 chemistry in near-shore environments influenced by different benthic communities under well-characterized environmental and physical conditions, and how these processes might change in response to OA. The team will investigate a limited number of contrasting habitats in subtropical (reef crest, back/patch reef, lagoon, seagrass bed, algal mat) and temperate (kelp bed, inter- and sub-tidal, marsh) environments during summer and winter, employing a method that evaluates the function and performance of the carbon cycle of a system using a stoichiometric vector approach based on changes in total dissolved inorganic carbon (DIC) and total alkalinity (TA). These field studies will be complemented by controlled mesocosm experiments with contrasting and mixed benthic communities under different OA scenarios.</p>
<p>The project has two educational components: (1) developing a research-driven OA and biogeochemistry course based on inquiry-, experience-, and collaborative-based learning; and (2) working with the Ocean Discovery Institute (ODI) to engage individuals from a local underrepresented minority community in science through educational activities focused on OA, and also providing a moderate number of internships for high school and college students to engage in this research project.</p>
<p>Broader Impacts: This project will directly support one PhD student, one junior research technician, and two high school and college interns from underrepresented minorities (URM) each summer of the project. It will contribute to the education of 80 undergraduate and graduate students participating in the research based ocean acidification/biogeochemistry course offered four times throughout the duration of the project at SIO/UCSD. Education and curricular material on the topics of OA, including hands-on laboratories, classroom and field-based activities will be developed through the collaboration with the ODI and brought to hundreds of URM students and their teachers in the City Heights area, a community with the highest poverty and ethnic diversity in the San Diego region. This collaboration will enable URM students to directly engage in a rapidly evolving field of research that has high relevance at both the local and global scales. To ensure broad dissemination of this project and the topic of OA, the research team will work with the Google Ocean team to incorporate information and educational material in the Google Ocean Explorer.</p>
Nearshore CO2
largerWorkCitation
project
eng; USA
oceans
San Dieguito Lagoon, CA
-117.266867
-117.118508
32.968031
33.063419
2014-04-30
2015-01-24
San Diego, California; Bermuda; Oahu, Hawaii
0
BCO-DMO catalogue of parameters from Carbon export from San Dieguito Lagoon from samples for seawater carbonate biogeochemistry between April 2014 and January 2015
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/765156.rdf
Name: Lat
Units: decimal degrees
Description: <p>Latitude of survey station</p>
http://lod.bco-dmo.org/id/dataset-parameter/765157.rdf
Name: Lon
Units: decimal degrees
Description: <p>Longitude of survey station</p>
http://lod.bco-dmo.org/id/dataset-parameter/765158.rdf
Name: Date
Units: unitless
Description: <p>Date of the survey in DD/MM/YYYY</p>
http://lod.bco-dmo.org/id/dataset-parameter/765159.rdf
Name: Time
Units: unitless
Description: <p>Time of survey in local time (GMT -8); 24-hour; format: HH:MM</p>
http://lod.bco-dmo.org/id/dataset-parameter/765160.rdf
Name: Temp
Units: degrees Celsius
Description: <p>Temperature of survey station</p>
http://lod.bco-dmo.org/id/dataset-parameter/765161.rdf
Name: Sal
Units: n/a
Description: <p>Salinity of survey station</p>
http://lod.bco-dmo.org/id/dataset-parameter/765162.rdf
Name: DO_pcnt
Units: unitless (percentage)
Description: <p>Dissolved oxygen saturation (%)</p>
http://lod.bco-dmo.org/id/dataset-parameter/765163.rdf
Name: DIC
Units: micromoles per kilogram (umol/kg)
Description: <p>Dissolved inorganic carbon of seawater</p>
http://lod.bco-dmo.org/id/dataset-parameter/765164.rdf
Name: TA
Units: micromoles per kilogram (umol/kg)
Description: <p>Total alkalinity of seawater</p>
http://lod.bco-dmo.org/id/dataset-parameter/765165.rdf
Name: TOC
Units: micromoles per kilogram (umol/kg)
Description: <p>Dissolved organic carbon of seawater</p>
http://lod.bco-dmo.org/id/dataset-parameter/765166.rdf
Name: PO4
Units: micromoles per kilogram (umol/kg)
Description: <p>Dissolved phosphate of seawater</p>
http://lod.bco-dmo.org/id/dataset-parameter/765167.rdf
Name: Si
Units: micromoles per kilogram (umol/kg)
Description: <p>Dissolved silicate of seawater</p>
http://lod.bco-dmo.org/id/dataset-parameter/765168.rdf
Name: NO2
Units: micromoles per kilogram (umol/kg)
Description: <p>Dissolved nitrite of seawater</p>
http://lod.bco-dmo.org/id/dataset-parameter/765169.rdf
Name: NO3
Units: micromoles per kilogram (umol/kg)
Description: <p>Dissolved nitrate of seawater</p>
http://lod.bco-dmo.org/id/dataset-parameter/765170.rdf
Name: NH4
Units: micromoles per kilogram (umol/kg)
Description: <p>Dissolved ammonium of seawater</p>
http://lod.bco-dmo.org/id/dataset-parameter/765171.rdf
Name: ISO_DateTime_Local
Units: unitless
Description: <p>Date and time of survey formatted to ISO8601 standard: yyyy-mm-ddThh:mm-hh:mm</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
17271
https://darchive.mblwhoilibrary.org/bitstream/1912/24095/1/dataset-765108_san-dieguito-lagoon-carbon-export__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.765108.1
download
onLine
dataset
<p>Methods description:<br />
Between April 2014 and January 2015, discrete samples for total alkalinity (TA), dissolved inorganic carbon (DIC), total organic carbon (TOC), and nutrients (nitrate, nitrite, ammonium, phosphate, and silicate) were collected hourly from high tide to low tide at the mouth of SDL, both during the day and during the night. Samples for TA, DIC, and nutrients were also collected at ten different sites across the SDL during the day at high tide. For all samples collected, surface temperature, salinity, and dissolved oxygen were measured with handheld YSI multiprobe while discrete seawater samples were collected by hand at the surface following standard protocols.</p>
<p>Analytical Methods:<br />
Surface seawater samples were collected by hand at ~0.25 m depth using 250 ml Pyrex glass bottles and immediately fixed with 100 µL HgCl2 as per standard protocols (Dickson et al. 2007). A handheld YSI multiprobe Pro2030 was calibrated and used to measure temperature, salinity, and dissolved oxygen saturation at the time of sampling. All seawater samples were transported to the Scripps Coastal and Open Ocean Biogeochemistry lab and analyzed for TA via an open-cell potentiometric acid titration system developed at Scripps Institution of Oceanography (SIO) by A. Dickson (Dickson et al. 2007) and DIC via an automated infra-red inorganic carbon analyzer (AIRICA, Marianda Inc). Nutrient samples were filtered through a 0.45 um filter into acid-leached HDPE-containers, and kept frozen until analysis. They were analyzed at Oceanographic Data Facility at SIO <a href="http://(http://odf.ucsd.edu" target="_blank">(http://odf.ucsd.edu</a>) using a Seal Analytical continuous-flow AutoAnalyzer. TOC samples were collected in combusted glass-vial and acidified with trace-metal grade HCl. They were analyzed in the Aluwihare lab at SIO according to Pedler et al. (2014) by combusting an unfiltered sample and measuring CO2 gas concentration using a non-dispersive infrared detector.</p>
<p>Quality Control:<br />
Standard protocols were followed for sampling and analysis of seawater all parameters. The YSI multiprobe was calibrated prior to each sampling with an accuracy of ±0.2°C for temperature, ±0.3 g kg-1 for salinity, and ±2% for DO. The mean accuracy (TA±1 µmol kg-1, DIC ±1 µmol kg-1) and precision (TA±2 µmol kg-1, DIC ±2 µmol kg-1) of TA and DIC measurements were evaluated using certified reference materials (CRM) provided by the laboratory of A. Dickson at SIO and analyzed every 5 samples for DIC and ~10 samples for TA. The uncertainty of the nutrient measurements were reported as nitrate ±0.05 uM, nitrite ±0.05 uM, ammonium ±0.03 uM, silicate ±2-4 uM, and phosphate ±0.004 uM by ODF. The TOC method was reported with an uncertainty of ±5%.</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO Processing:<br />
- replaced "%"with "_pcnt" in column header;<br />
- replaced "nan" with "nd" (for "no data");<br />
- formatted dates to dd/mm/yyyy;<br />
- formatted times to HH:MM;<br />
- created ISO_DateTime_Local column from date and time fields provided.</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Automated Infra Red Inorganic Carbon Analyzer (AIRICA)
Automated Infra Red Inorganic Carbon Analyzer (AIRICA)
PI Supplied Instrument Name: Automated Infra Red Inorganic Carbon Analyzer (AIRICA) PI Supplied Instrument Description:The Automated Infra Red Inorganic Carbon Analyzer (AIRICA) utilizes infrared detection of CO2 gas purged from an acidified seawater sample. A high-precision syringe pump extracts the seawater sample, acidifies the sample with phosphoric acid, and analyzes the gas released with an infrared light analyzer (LICOR). The CO2 signal is integrated for each sample to quantify the total inorganic carbon for a given aliquot of seawater analyzed. Three aliquots and peak integrations are performed for each seawater sample and averaged to determine the dissolved inorganic carbon for each sample. Precision was typically ±1–2 µmol/kg for TA. Please see http://marianda.com/index.php?site=products&subsite=airica for a complete instrument description. Instrument Name: Inorganic Carbon Analyzer Instrument Short Name: Instrument Description: Instruments measuring carbonate in sediments and inorganic carbon (including DIC) in the water column.
SEAL AutoAnalyzer 3 four-channel segmented flow analyzer
SEAL AutoAnalyzer 3 four-channel segmented flow analyzer
PI Supplied Instrument Name: SEAL AutoAnalyzer 3 four-channel segmented flow analyzer PI Supplied Instrument Description:Nutrient samples were taken according to best practices and were filtered using a 0.4 µm filter and immediately frozen until analysis. Samples were analyzed using US Environmental Protection Agency methods for ammonium (method G-171-96, detection limit 0.034 µmol/L), nitrite+nitrate (method G-172-96, detection limit 0.010 µmol/L), silicate (method G-177-96, detection limit 0.016 µmol/L), and phosphate (method G-297-03, detection limit 0.025 µmol/L). Please see http://seal-analytical.com/Products/AA3SFAAnalyzer/tabid/59/Default.aspx for a complete instrument description. Instrument Name: Seal Analytical AutoAnalyser 3HR Instrument Short Name:Seal Analytical AutoAnalyser 3HR Instrument Description: A fully automated Segmented Flow Analysis (SFA) system, ideal for water and seawater analysis. It comprises a modular system which integrates an autosampler, peristaltic pump, chemistry manifold and detector. The sample and reagents are pumped continuously through the chemistry manifold, and air bubbles are introduced at regular intervals forming reaction segments which are mixed using glass coils. The AA3 uses segmented flow analysis principles to reduce inter-sample dispersion, and can analyse up to 100 samples per hour using stable LED light sources.
Shimadzu 500 V-CSN/TNM-1 TOC analysis system
Shimadzu 500 V-CSN/TNM-1 TOC analysis system
PI Supplied Instrument Name: Shimadzu 500 V-CSN/TNM-1 TOC analysis system PI Supplied Instrument Description:TOC samples were collected in 40 mL precombusted borosilicate vials after these were prerinsed with the sample, followed by acidification to ~pH 2 using 12M trace metal-grade HCl, and capped with acid-washed teflon-lined septa. TOC concentrations were quantified by combusting the unfiltered samples and measuring the CO2 released using a non-dispersive infrared detector. The instrument precision was checked using low carbon deep seawater TOC samples. Instrument Name: Shimadzu TOC-V Analyzer Instrument Short Name:Shimadzu TOC-V Instrument Description: A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method. Community Standard Description: http://onto.nerc.ac.uk/CAST/124
Open-cell potentiometric acid titration system
Open-cell potentiometric acid titration system
PI Supplied Instrument Name: Open-cell potentiometric acid titration system PI Supplied Instrument Description:The open-cell potentiometric acid titration system was developed by the laboratory of A.G. Dickson. Briefly, a known amount of seawater is added to an open cell temperature controlled beaker. Hydrochloric acid is added using a Methrom Dosimat to a pH of 3.5-4.0 and allowed to stabilize to remove CO2 gas formed by the addition of acid. Small aliquots of hydrochloric acid are then added to pH of ~ 3.0. The titration is monitored by a glass electrode and the total alkalinity of the sample is calculated using a non-linear least-squares method following Dickson et al. (2007). Instrument Name: Titrator Instrument Short Name:Titrator Instrument Description: Titrators are instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB12/
Water Quality Multiprobe
Water Quality Multiprobe
PI Supplied Instrument Name: Water Quality Multiprobe PI Supplied Instrument Description:YSI Handheld Multiparameter Instrument was used to measure in situ temperature (accuracy ± 0.15°C), salinity (accuracy ± 1%), and DO% (accuracy ± 2%). Instrument Name: Water Quality Multiprobe Instrument Short Name:Water Quality Multiprobe Instrument Description: An instrument which measures multiple water quality parameters based on the sensor configuration.
Deployment: San_Dieguito_Lagoon_2014-15
San_Dieguito_Lagoon_2014-15
San Dieguito Lagoon
San_Dieguito_Lagoon_2014-15
Andreas Andersson
University of California-San Diego Scripps
San Dieguito Lagoon