BioGeoChemistry from R/V Blue Heron BH07-09, BH07-17, BH07-19, BH08-01, BH08-11, BH08-19 in Lake Superior from 2007-2008 (CARGO project)

Website: https://www.bco-dmo.org/dataset/3690
Version: 07 August 2012
Version Date: 2012-08-07

Project
» Primary Production and Grazing Dynamics In the Ultra-Oligotrophic Waters of Lake Superior (CARGO)

Program
» Laurentian Great Lakes Ecosystem Studies (Laurentian Great Lakes Ecosystem Studies)
ContributorsAffiliationRole
Sterner, Robert W.University of Minnesota Twin Cities (UMTC)Principal Investigator, Contact
Brovold, SandraUniversity of Minnesota Twin Cities (UMTC)Technician
Gegg, Stephen R.Woods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager


Dataset Description

Bio Geo Chemistry Data collected during 2007 and 2008
Cruises CARGO 1, CARGO 2, CARGO 3, CARGO 4, CARGO 5, CARGO 6


Methods & Sampling

Detailed Acquisition and Processing Metadata for All Parameters
Metadata generated from original file "2007 Great Lakes Biogeochem Data.xlsx, Sheet: Metadata" contributed by Bob Sterner
See Individual Deployments/Data Info for cruise specific sampling notes


Data Processing Description

Detailed Acquisition and Processing Metadata for All Parameters
Metadata generated from original file "2007 Great Lakes Biogeochem Data.xlsx, Sheet: Metadata" contributed by Bob Sterner
See Individual Deployments/Data Info for cruise specific sampling notes

 BCO-DMO Processing/Edits
- Data generated from original files:
   "2007 Great Lakes Biogeochem Data submitted.xlsx, Sheet: Data"
   "2008 Great Lakes Biogeochem Data submitted.xlsx, Sheet: Data"
   contributed by Bob Sterner
- 2007 and 2008 data combined to create one CARGO BioGeoChem dataset
- Date reformatted to YYYYMMDD
- LATITUDE/LONGITUDE columns added and values for these inserted from Standard Stations dataset
- Parameter names modified to conform to BCO-DMO conventions (blanks to underscores, etc.)
- Parameter WATER_DEPTH changed to SAMPLE_DEPTH
- Parameter "sed/core/water" changed to SAMPLE_TYPE
- Spaces in CRUISE CODES removed
- Station CD-1 changed to CD1 for compatibility with stations list and other datasets
- "nd" (no data) value inserted in blank cells
 


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Data Files

File
CARGO_BioGeoChem_StnSort.csv
(Comma Separated Values (.csv), 346.67 KB)
MD5:ef1dd0ef29011e63b9f3147ac2998ed1
Primary data file for dataset ID 3690

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Parameters

ParameterDescriptionUnits
LOG_NUMBER

A unique internal sample identifier

Dimensionless
CRUISE_CODE

Name of cruise when sample was taken

Dimensionless
SAMPLE_DATE

Date sample was taken from lake

YYYYMMDD
STATION

Station occupied when sample was taken

Dimensionless
LATITUDE

Station Latitude from Standard Stations Dataset (South is negative)

Decimal degrees
LONGITUDE

Station Longitude from Standard Stations Dataset (West is negative)

Decimal degrees
SAMPLE_DEPTH

Depth sample was taken.

m
FRACTION

Pore size of filter used to fractionate before sample collection.

m * 10-6
STORAGE

Method of sample preservation

Dimensionless
VOL_FILT

Volume of sample filtered.

Ml
REP

Integer value; replicate number.

Dimensionless
SAMPLE_TYPE

Type of sample (sed/core/water)

Dimensionless
DIC

Dissolved inorganic carbon.

mg/L
DOC

Dissolved organic carbon

mg/L
TN

Total nitrogen

mg/L
TDN

Total dissolved nitrogen.

mg/L
Probe_pH

Hydrogen ion activity (pH)

Dimensionless
SRSi

Soluble reactive silica

mg/L
POC

Particulate Organic Carbon

ug/L
PON

Particulate Organic Nitrogen

ug/L
PP

Particulate phosphorus

uM
Chl_a

Chlorophyll A

ug/L
NO3

Nitrate

uM
NH4

Ammoniuum

uM


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Instruments

Dataset-specific Instrument Name
Bottom Sediment Grab Samplers
Generic Instrument Name
Bottom Sediment Grab Samplers
Dataset-specific Description
Ponar Sampler Detailed Acquisition and Processing Metadata for All Parameters Metadata generated from original file "2007 Great Lakes Biogeochem Data.xlsx, Sheet: Metadata" contributed by Bob Sterner See Individual Deployments/Data Info for cruise specific sampling notes
Generic Instrument Description
These samplers are designed to collect an accurate representative sample of the sediment bottom. The bite of the sampler should be deep enough so all depths are sampled equally. The closing mechanism is required to completely close and hold the sample as well as prevent wash-out during retrieval. Likewise, during descent the sampler should be designed to minimize disturbance of the topmost sediment by the pressure wave as it is lowered to the bottom.

Dataset-specific Instrument Name
CTD Sea-Bird SBE 911plus
Generic Instrument Name
CTD Sea-Bird SBE 911plus
Dataset-specific Description
Sea-Bird SBE 9 Detailed Acquisition and Processing Metadata for All Parameters Metadata generated from original file "2007 Great Lakes Biogeochem Data.xlsx, Sheet: Metadata" contributed by Bob Sterner See Individual Deployments/Data Info for cruise specific sampling notes
Generic Instrument Description
The Sea-Bird SBE 911 plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911 plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 plus and SBE 11 plus is called a SBE 911 plus. The SBE 9 plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 plus and SBE 4). The SBE 9 plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics

Dataset-specific Instrument Name
Lachat Flow Injection Analyzer
Generic Instrument Name
Flow Injection Analyzer
Dataset-specific Description
Lachat flow injection analyzer Detailed Acquisition and Processing Metadata for All Parameters Metadata generated from original file "2007 Great Lakes Biogeochem Data.xlsx, Sheet: Metadata" contributed by Bob Sterner See Individual Deployments/Data Info for cruise specific sampling notes
Generic Instrument Description
An instrument that performs flow injection analysis. Flow injection analysis (FIA) is an approach to chemical analysis that is accomplished by injecting a plug of sample into a flowing carrier stream. FIA is an automated method in which a sample is injected into a continuous flow of a carrier solution that mixes with other continuously flowing solutions before reaching a detector. Precision is dramatically increased when FIA is used instead of manual injections and as a result very specific FIA systems have been developed for a wide array of analytical techniques.

Dataset-specific Instrument Name
Turner 10-AU Fluorometer
Generic Instrument Name
Fluorometer
Dataset-specific Description
Turner 10-AU Fluorometer Detailed Acquisition and Processing Metadata for All Parameters Metadata generated from original file "2007 Great Lakes Biogeochem Data.xlsx, Sheet: Metadata" contributed by Bob Sterner See Individual Deployments/Data Info for cruise specific sampling notes
Generic Instrument Description
A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.

Dataset-specific Instrument Name
Multi Corer
Generic Instrument Name
Multi Corer
Dataset-specific Description
Multicorer Detailed Acquisition and Processing Metadata for All Parameters Metadata generated from original file "2007 Great Lakes Biogeochem Data.xlsx, Sheet: Metadata" contributed by Bob Sterner See Individual Deployments/Data Info for cruise specific sampling notes
Generic Instrument Description
The Multi Corer is a benthic coring device used to collect multiple, simultaneous, undisturbed sediment/water samples from the seafloor. Multiple coring tubes with varying sampling capacity depending on tube dimensions are mounted in a frame designed to sample the deep ocean seafloor. For more information, see Barnett et al. (1984) in Oceanologica Acta, 7, pp. 399-408.

Dataset-specific Instrument Name
Niskin bottle
Generic Instrument Name
Niskin bottle
Dataset-specific Description
Detailed Acquisition and Processing Metadata for All Parameters Metadata generated from original file "2007 Great Lakes Biogeochem Data.xlsx, Sheet: Metadata" contributed by Bob Sterner See Individual Deployments/Data Info for cruise specific sampling notes
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
Perkin Elmer 2400 CHN Analyzer
Generic Instrument Name
Particulate Organic Carbon/Nitrogen Analyzer
Dataset-specific Description
Perkin Elmer 2400 CHN Analyzer Detailed Acquisition and Processing Metadata for All Parameters Metadata generated from original file "2007 Great Lakes Biogeochem Data.xlsx, Sheet: Metadata" contributed by Bob Sterner See Individual Deployments/Data Info for cruise specific sampling notes
Generic Instrument Description
A unit that accurately determines the carbon and nitrogen concentrations of organic compounds typically by detecting and measuring their combustion products (CO2 and NO).

Dataset-specific Instrument Name
TNM-1 Attachment
Generic Instrument Name
Total Nitrogen Analyzer
Dataset-specific Description
Shimadzu VCSH TNM-1 AttachmentDetailed Acquisition and Processing Metadata for All Parameters Metadata generated from original file "2007 Great Lakes Biogeochem Data.xlsx, Sheet: Metadata" contributed by Bob Sterner See Individual Deployments/Data Info for cruise specific sampling notes
Generic Instrument Description
A unit that accurately determines the nitrogen concentrations of organic compounds typically by detecting and measuring its combustion product (NO). See description document at: http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/totalnit.pdf

Dataset-specific Instrument Name
Shimadzu VCSH
Generic Instrument Name
Total Organic Carbon Analyzer
Dataset-specific Description
Shimadzu VCSH Detailed Acquisition and Processing Metadata for All Parameters Metadata generated from original file "2007 Great Lakes Biogeochem Data.xlsx, Sheet: Metadata" contributed by Bob Sterner See Individual Deployments/Data Info for cruise specific sampling notes
Generic Instrument Description
A unit that accurately determines the carbon concentrations of organic compounds typically by detecting and measuring its combustion product (CO2). See description document at: http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/bs116.pdf


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Deployments

BH07-09

Website
Platform
R/V Blue Heron
Report
Start Date
2007-07-30
End Date
2007-08-01
Description
Cruise Name:CARGO 1 Dates: 30 July - 01 August 2007 Vessel: R/V Blue Heron UNOLS Cruise ID: BH07-09 (Not verified srg/13April2012) First cruise on Sea Grant project on production and grazing. The lake was stratified and a DCM was present. Participants: Sterner, Brovold, Seegers, Jeyasingh, and Stark

Methods & Sampling
Refer to BH07-09 CARGO 1 Cruise Synopsis for detailed descriptions of acquisition and processing methodologies

Processing Description
Refer to http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/BH07-09_CARGO1_Sy... CARGO 1 Cruise Synopsis for detailed descriptions of acquisition and processing methodologies

BH07-17

Website
Platform
R/V Blue Heron
Report
Start Date
2007-10-05
End Date
2007-10-07
Description
Cruise Name:CARGO 2 Dates: 05 - 07 October 2007 Vessel: R/V Blue Heron UNOLS Cruise ID: BH07-17 (Not verified srg/13April2012) Participants: R. Sterner, et al

Methods & Sampling
Refer to BH07-17 CARGO 2 Cruise Synopsis for detailed descriptions of acquisition and processing methodologies

Processing Description
Refer to http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/BH07-17_CARGO2_Sy... target="_blank">BH07-17 CARGO 2 Cruise Synopsis for detailed descriptions of acquisition and processing methodologies

BH07-19

Website
Platform
R/V Blue Heron
Report
Start Date
2007-11-07
End Date
2007-11-09
Description
Cruise Name:CARGO 3 Dates: 07 - 09 November 2007 Vessel: R/V Blue Heron UNOLS Cruise ID: BH07-19 (Not verified srg/13April2012) Participants: Sterner (Chief Scientist), Brovold, Seegers, Michelle McCrackin (ASU)

Methods & Sampling
Refer to BH07-19 CARGO 3 Cruise Synopsis for detailed descriptions of acquisition and processing methodologies

Processing Description
Refer to http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/BH07-19_CARGO3_Sy... CARGO 3 Cruise Synopsis for detailed descriptions of acquisition and processing methodologies

BH08-01

Website
Platform
R/V Blue Heron
Report
Start Date
2008-04-29
End Date
2008-05-01
Description
Cruise Name:CARGO 4 Dates: 29 April - 01 May 2008 Vessel: R/V Blue Heron UNOLS Cruise ID: BH08-01 (Not verified srg/13April2012) Participants: R. Sterner, et al

Methods & Sampling
Refer to BH08-01 CARGO 4 Cruise Synopsis for detailed descriptions of acquisition and processing methodologies

Processing Description
Refer to http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/BH08-01_CARGO4_Cr... target="_blank">BH08-01 CARGO 4 Cruise Synopsis for detailed descriptions of acquisition and processing methodologies

BH08-11

Website
Platform
R/V Blue Heron
Report
Start Date
2008-07-30
End Date
2008-08-01
Description
Cruise Name:CARGO 5 Dates: 30 July - 01 August 2008 Vessel: R/V Blue Heron UNOLS Cruise ID: BH08-11 (Not verified srg/13April2012) Participants: R. Sterner, et al

Methods & Sampling
Refer to BH08-11 CARGO 5 Cruise Synopsis for detailed descriptions of acquisition and processing methodologies

Processing Description
Refer to http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/BH08-11_CARGO5_Cr... target="_blank">BH08-11 CARGO 5 Cruise Synopsis for detailed descriptions of acquisition and processing methodologies

BH08-19

Website
Platform
R/V Blue Heron
Report
Start Date
2008-09-16
End Date
2008-09-18
Description
Cruise Name:CARGO 6 Dates: 16 - 18 September 2008 Vessel: R/V Blue Heron UNOLS Cruise ID: BH08-19 (Not verified srg/13April2012) Participants: R. Sterner, et al

Methods & Sampling
Refer to BH08-19 CARGO 6 Cruise Synopsis for detailed descriptions of acquisition and processing methodologies

Processing Description
Refer to http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/BH08-19_CARGO6_Cr... target="_blank">BH08-19 CARGO 6 Cruise Synopsis for detailed descriptions of acquisition and processing methodologies


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Project Information

Primary Production and Grazing Dynamics In the Ultra-Oligotrophic Waters of Lake Superior (CARGO)


Coverage: Lake Superior


PRIMARY PRODUCTION AND GRAZING DYNAMICS IN THE ULTRA-OLIGOTROPHIC WATERS OF LAKE SUPERIOR  ("CARGO" which stands for CArbon Gain and lOss)

All higher organisms including fish ultimately rely on carbon fixed by primary production for their growth. A major gap in our understanding of Lake Superior lies in a highly incomplete knowledge of the rates primary production and grazing in the lake's waters. This data gap impedes the progress of scientific understanding of the lake on many fronts. Primary production is the foundation for all food webs and is a large, perhaps the largest, term in the lake's carbon cycle. Over the years, there have been but a small handful of investigators who have measured primary production in this, Earth’s largest lake by area. Attempts to construct comprehensive carbon budgets using literature values for major terms such as DOC import, sedimentation, etc. indicate a large imbalance in the C cycle in the lake. According to current best estimates, organic carbon disappears at much faster rate (14-40, Cotner et al. 2005) or (13-81, Urban et al. 2005) than its rate of input (5.3 Tg/y, Cotner et al. 2004) or (3-8 Tg/y, Urban et al. 2005) (all values in Tg/y). The budget is out of balance by a factor of about 2 to 27. Unless the lake is metabolizing vast quantities of old, “fossilized” carbon (implausible), current out-of-balance budgets must be wrong, meaning we do not have good estimates for one or more of these fundamental processes in the lake.

Of the possible terms in the carbon budget of the lake, a focus on primary production is appropriate because of the large magnitude of this term plus the dearth of actual measurements that have been performed and the many untested assumptions that lurk behind those few measurements. At the same time, a major loss of particulate organic carbon has been almost entirely ignored until now. That loss is the grazing rate, the rate of consumption of lake particles (including bacteria and algae) by living organisms in the water column. As Banse (2002) has described for the oceans, though physical mixing and sinking contribute to the dynamics of phytoplankton and other small planktonic organisms, it is principally production and grazing which determine dynamics. To a first approximation, the rate of change of phytoplankton is equal to the difference between production and grazing.

This project comprises a two-year study that will focus on primary production and grazing in the world’s largest lake by area. Primary production will be measured using 14C additions to shipboard incubations using a photosynthetron device. P-I curves plus other data will be used as input for numerical models of areal production. Production numbers so obtained will be compared to in situ incubations. Grazing assays will be based on the dilution series methods developed by Landry and Hassett (1982) and since employed by many others, including myself and my students; this method provides an overall measure of in situ particle turnover.



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Program Information

Laurentian Great Lakes Ecosystem Studies (Laurentian Great Lakes Ecosystem Studies)


Coverage: Laurentian Great Lakes


A series of studies concerned with the chemistry and biology of the Laurentian Great Lakes.  These different studies share a focus on the dynamics of organic pools of carbon, nitrogen and phosphorus, and the stoichiometric linkages among these elements. At different times, work also has focused on trace metal dynamics and interactions with biota, the rates of primary production and herbivory, rates and patterns of primary productivity, and the century-long, steady trend of increasing nitrate in Earth's largest lake by area.  Microbial populations have been investigated and linked to these chemical properties.

This Program was created by BCO-DMO staff to bring various Laurentian Great Lakes Research projects under one umbrella for improved discovery and access.

Dates: 1998 - 2014
Funding: NSF/OCE and Minnesota Sea Grant



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Funding

Funding SourceAward
Minnesota Sea Grant (MN Sea Grant)

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