Contributors | Affiliation | Role |
---|---|---|
Bronk, Deborah A. | Virginia Institute of Marine Science (VIMS) | Principal Investigator |
Sipler, Rachel E. | Virginia Institute of Marine Science (VIMS) | Principal Investigator |
Allen, Andrew E. | J. Craig Venter Institute (JCVI) | Co-Principal Investigator |
Hutchins, David A. | University of Southern California (USC-WIES) | Co-Principal Investigator |
Copley, Nancy | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Water was pumped to the surface using a trace metal clean diaphragm pump and acid cleaned teflon tubing and dispensed into trace metal clean (TMC) 50 L carboys. Sampling occurred between 18:00 and 19:00 in open air, with wind coming strictly from over open water, NNE to NE. The carboys were protected from light with dark plastic bags and returned to the Crary Laboratory at McMurdo Station via helicopter within one hour of sampling.
Chl a was measured using 90% acetone extracts and the non-acidified fluorometric method, employing a Turner Designs fluorometer and Whatman GF/F filters.
Nitrate (NO3-), nitrite (NO2-), phosphate (PO43-) and silicate (SiO4) concentrations were measured in duplicate on a Lachat QuikChem 8500 autoanalyzer. Ammonium (NH4+) concentrations were measured in triplicate using the phenol-hypochlorite method.
Water was pumped to the surface using a trace metal clean diaphragm pump and acid cleaned teflon tubing and dispensed into trace metal clean (TMC) 50 L carboys. Sampling occurred between 18:00 and 19:00 in open air, with wind coming strictly from over open water, NNE to NE. The carboys were protected from light with dark plastic bags and returned to the Crary Laboratory at McMurdo Station via helicopter within one hour of sampling.
Chl a was measured using 90% acetone extracts and the non-acidified fluorometric method, employing a Turner Designs fluorometer and Whatman GF/F filters.
Nitrate (NO3-), nitrite (NO2-), phosphate (PO43-) and silicate (SiO4) concentrations were measured in triplicate on a Lachat QuikChem 8500 autoanalyzer. Ammonium (NH4+) concentrations were measured in triplicate using the phenol-hypochlorite method.
BCO-DMO Processing:
- added conventional header with dataset name, PI name, version date
- renamed parameters to BCO-DMO standard
- changed date format from m/d/yyyy to yyyy-mm-dd
- converted latitude and longitude from degree-decimal minutes to decimal degrees
File |
---|
nuts_McMurdo.csv (Comma Separated Values (.csv), 735 bytes) MD5:b5fe8c9b7cbd6cf3fce0033c533faf74 Primary data file for dataset ID 628244 |
Parameter | Description | Units |
lat | latitude; north is positive | decimal degrees |
lon | longitude; east is positive | decimal degrees |
date_local | local date | yyyy-mm-dd |
depth | sample depth | meters |
chl_a | mean chlorophyll-a concentration | ug/liter |
chl_a_stdev | mean chlorophyll-a concentration error | ug/liter |
NH4 | mean ammonium concentration | umol N/liter |
NH4_stdev | mean ammonium concentration standard deviation | umol N/liter |
NO3 | mean nitrate concentration | umol N/liter |
NO3_stdev | mean nitrate concentration standard deviation | umol N/liter |
NO2 | mean nitrite concentration | umol N/liter |
NO2_stdev | mean nitrite concentration standard deviation | umol N/liter |
Urea | mean urea concentration | umol N/liter |
Urea_stdev | mean urea concentration standard deviation | umol N/liter |
PO4 | mean phosphate concentration | umol P/liter |
PO4_stdev | mean phosphate concentration standard deviation | umol P/liter |
SiO4 | mean silicate concentration | umol Si/liter |
SiO4_stdev | mean silicate concentration standard deviation | umol Si/liter |
Dataset-specific Instrument Name | |
Generic Instrument Name | Fluorometer |
Dataset-specific Description | Turner Designs fluorometer |
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 | |
Generic Instrument Name | Nutrient Autoanalyzer |
Dataset-specific Description | Lachat QuikChem 8500 autoanalyzer |
Generic Instrument Description | Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples. |
Dataset-specific Instrument Name | |
Generic Instrument Name | Pump |
Dataset-specific Description | Trace metal clean diaphragm pump |
Generic Instrument Description | A pump is a device that moves fluids (liquids or gases), or sometimes slurries, by mechanical action. Pumps can be classified into three major groups according to the method they use to move the fluid: direct lift, displacement, and gravity pumps |
Website | |
Platform | McMurdo Station |
Start Date | 2013-01-16 |
End Date | 2015-01-23 |
Description | Water sample collections in the Ross Sea |
Description from NSF award abstract:
This award provides support for "Collaborative Research: Synergistic Effects of Iron, Carbon Dioxide, and Temperature on the Fate of Nitrate: Implications for Future Changes in Export Production in the Southern Ocean" from the Antarctic Organisms and Ecosystems program in the Office of Polar Programs at NSF. The project will use a novel combination of research approaches to evaluate the effects of temperature, carbon dioxide, and iron on three ecologically- and biogeochemically-critical Southern Ocean phytoplankton functional groups: Large centric diatoms, small pennate diatoms, and Phaeocystis antarctica.
The Southern Ocean around Antarctic is undergoing several changes including increased temperature and carbon dioxide content, as well as changing levels of biologically available iron. The project goals are to understand how the individual and combined influences of these three variables affect Southern Ocean phytoplankton community structure, and to determine how these assemblage-level responses are linked to fundamental cellular responses at the levels of nutrient physiology and gene expression. The research team will focus on three different types of marine algae: large and small diatoms, and the prymnesiophyte, Phaeocystis antarctica. Shifts between these three major algal groups have very different consequences for nutrient and carbon biogeochemistry in the rapidly changing Antarctic marine environments. However, the mechanistic underpinnings of these environmentally-driven community shifts are not known. The project includes a US-based laboratory component with Antarctic isolates, field study at McMurdo Station, and then a cruise of opportunity in the upwelling areas directly south of the Antarctic Circumpolar Current. The study also includes collection and analysis of environmental gene expression data, or meta-transcriptomics, both from the field and experimental settings. The transcriptomes will be generated under environmentally relevant conditions and will thus contain information critical for decoding the genomes of several newly sequenced polar phytoplankton species in addition to the three groups highlighted above.
Related publications:
Bertrand, E.M., McCrow, J.P., Moustafa, A., Zheng, H., McQuaid, J., Delmont, T., Post, A.F., Sipler, R., Spackeen, J.L., Xu, K., Bronk, D.A., Hutchins, D.A., Allen, A.E. 2015. Phytoplankton-bacterial interactions mediate micronutrient colimitation at the coastal Antarctic sea ice edge. Proceedings of the National Academy of Sciences. 10.1073/pnas.1501615112
Funding Source | Award |
---|---|
NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) |