Contributors | Affiliation | Role |
---|---|---|
Vaillancourt, Robert D. | Millersville University | Principal Investigator, Contact |
Marra, John F. | Brooklyn College (CUNY Brooklyn) | Co-Principal Investigator |
Gegg, Stephen R. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Chlorophyll a concentration by method of fluorescence of methanol extracted material
Fluorometric chlorophyll and HPLC phytoplankton pigments - Fluorometric chlorophyll samples were collected on both pre-dawn and midday casts in seasoned, well-rinsed 500 ml amber Nalgene bottles and gently vacuum filtered (<5 mm Hg) onto 25 mm diameter Whatman GF/F filters (nominal pore size ~0.7 µm) for “total” chlorophyll. Samples were extracted into 7 ml 100% methanol [Jeffrey et al., 1997] for 24 h in the dark at -20°C and read on a Turner 700 fluorometer equipped with narrow band excitation and emission filters [Welschmeyer, 1994] and calibrated with a commercial chlorophyll standard (Sigma) and checked against a solid standard daily.
Phytoplankton HPLC pigment samples were collected on both pre-dawn and midday casts in seasoned, well-rinsed 2L amber Nalgene bottles and gently vacuum filtered (<5 mm Hg) onto 25 mm diameter Whatman GF/F filters (nominal pore size ~0.7 µm). Samples were immediately frozen in liquid N and stored in liquid N until analyzed by the Horn Point Analytical Laboratory (Univ. of MD) according to established methods for high pressure liquid chromatography (HPLC) for phytoplankton pigments [Hooker et al., 2005]
BCO-DMO Processing Notes
Generated from original .xlsx file "ON DEQUE HPLC DATA.xlsx" contributed by Robert Vallancourt
BCO-DMO Edits
- Column inserted for Date_UTC to go along with Time_UTC
- "nd" (no data) value inserted in blank cells
- Parameter names modified to conform to BCO-DMO convention
File |
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Chloro_HPLC.csv (Comma Separated Values (.csv), 115.70 KB) MD5:9bc8da23b9abfada999f58ee5c1ba270 Primary data file for dataset ID 3532 |
Parameter | Description | Units |
ProjectId | ID Info; Project | text |
CruiseId | ID Info; Cruise Name | text |
StationId | ID Info; On Deque station ID | integer |
CastId | ID Info; CAST ID | text |
Location_Description | ID Info; Location Description | text |
Year | ID Info; Year | YYYY |
Month | ID Info; Gregorian Month | text |
Day_of_Month | ID Info; Day of Gregorian Month | DD |
Day_of_Year | ID Info; Sequential Day of Year (whole days 1 = 1 Jan) | DDD |
Date_UTC | ID Info; UTC Date | YYYYMMDD |
Time_UTC | ID Info; UTC Time | HHMM |
Date_Local | ID Info; Local Date | YYYYMMDD |
Time_Local | ID Info; Local Time | HHMM |
Lon | ID Info; Longitude (deg E) | decimal degrees |
Lat | ID Info; Latitude (deg N) | decimal degrees |
Depth | ID Info; Depth (meters) | meters |
TChl_a | HPLC; [TChl a] (mg/m^3) | mg/m^3 |
Tchl_b | HPLC; [TChl b](mg/m^3) | mg/m^3 |
TChl_c | HPLC; [TChl c] (mg/m^3) | mg/m^3 |
Caro | HPLC; [Caro] (mg/m^3) | mg/m^3 |
But_fuco | HPLC; [But fuco] (mg/m^3) | mg/m^3 |
Hex_fuco | HPLC; [Hex fuco] (mg/m^3) | mg/m^3 |
Allo | HPLC; [Allo] (mg/m^3) | mg/m^3 |
Diad | HPLC; [Diad] (mg/m^3) | mg/m^3 |
Diato | HPLC; [Diato] (mg/m^3) | mg/m^3 |
Fuco | HPLC; [Fuco] (mg/m^3) | mg/m^3 |
Perid | HPLC; [Perid] (mg/m^3) | mg/m^3 |
Zea | HPLC; [Zea] (mg/m^3) | mg/m^3 |
Chl_a | HPLC; [Chl a] (mg/m^3) | mg/m^3 |
DVChl_a | HPLC; [DVChl a] (mg/m^3) | mg/m^3 |
Chlide_a | HPLC; [Chlide a] (mg/m^3) | mg/m^3 |
Chl_b | HPLC; [Chl b] (mg/m^3) | mg/m^3 |
DVChl_b | HPLC; [DVChl b] (mg/m^3) | mg/m^3 |
Chl_c1 | HPLC; Chl c1 (mg/m^3) | mg/m^3 |
Chl_c2 | HPLC; Chl c2 (mg/m^3) | mg/m^3 |
Chl_c12 | HPLC; [Chl c12] (mg/m^3) | mg/m^3 |
Chl_c3 | HPLC; [Chl c3] (mg/m^3) | mg/m^3 |
Lut | HPLC; [Lut] (mg/m^3) | mg/m^3 |
Neo | HPLC; [Neo] (mg/m^3) | mg/m^3 |
Viola | HPLC; [Viola] (mg/m^3) | mg/m^3 |
Phytin_a | HPLC; [Phytin a] (mg/m^3) | mg/m^3 |
Phide_a | HPLC; [Phide a] (mg/m^3) | mg/m^3 |
Pras | HPLC; [Pras] (mg/m^3) | mg/m^3 |
Gyr_diester | HPLC; [Gyr diester] (mg/m^3) | mg/m^3 |
TChl | HPLC; [TChl] (mg/m^3) | mg/m^3 |
PPC | HPLC; [PPC] (mg/m^3) | mg/m^3 |
PSC | HPLC; [PSC] (mg/m^3) | mg/m^3 |
PSP | HPLC; [PSP] (mg/m^3) | mg/m^3 |
TCaro | HPLC; [TCaro] (mg/m^3) | mg/m^3 |
TAcc | HPLC; [TAcc] (mg/m^3) | mg/m^3 |
TPig | HPLC; [TPig] (mg/m^3) | mg/m^3 |
DP | HPLC; [DP] (mg/m^3) | mg/m^3 |
Dataset-specific Instrument Name | CTD profiler |
Generic Instrument Name | CTD - profiler |
Generic Instrument Description | The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column. It permits scientists to observe the physical properties in real-time via a conducting cable, which is typically connected to a CTD to a deck unit and computer on a ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.
This term applies to profiling CTDs. For fixed CTDs, see https://www.bco-dmo.org/instrument/869934. |
Website | |
Platform | R/V Atlantic Explorer |
Start Date | 2007-04-14 |
End Date | 2007-04-20 |
Website | |
Platform | R/V Atlantic Explorer |
Start Date | 2007-08-11 |
End Date | 2007-08-19 |
Website | |
Platform | R/V Cape Hatteras |
Start Date | 2008-07-05 |
End Date | 2008-07-22 |
The control of photosynthetic quantum yield of phytoplankton
by light intensity and diapycnal nutrient flux
Primary production in the ocean is probably the least known part of the ocean's
carbon cycle. One reason that primary production is little known is the lack of
understanding of the geographical and temporal variability in phytoplankton physiology.
For example it is only recently that the importance has been revealed, of the
so-called photoprotectant pigments, pigments that, in effect, shield the photosynthetic
apparatus from too much sunlight. This project will investigate the geographic and
temporal variability of a fundamental property of oceanic photosynthesis: the quantum
yield, or the ratio of the available light to the amount of carbon fixed in photosynthesis.
The PIs propose an hypothesis based on earlier measurements, that in the lower parts
of the euphotic zone in the stratified ocean, the upward flux of nutrients regulates
the value of the quantum yield, while in the upper parts, irradiance governs its value,
through the pigment composition of the phytoplankton. This hypothesis will be tested
by making estimates of the quantum yield's maximum value through very careful and
comprehensive measurements of the bio-optical properties and species composition of
the phytoplankton, as well as the submarine light environment, hydrography, and nutrients.
These measurements will be along both temporal and spatial gradients in the ocean to
create the basis for environmental regulation of quantum yield. These measurements will
be used to establish precisely how the maximum value of the quantum yield is regulated
by solar flux and plant nutrients. This research provides a mechanism to understand
how the processes of nutrient supply and light affect the physiology of natural populations
of phytoplankton, a long-standing problem in biological oceanography. It also provides a
means for improving the modeling primary productivity, including estimating productivity
in the global ocean from space.
The Ocean Carbon and Biogeochemistry (OCB) program focuses on the ocean's role as a component of the global Earth system, bringing together research in geochemistry, ocean physics, and ecology that inform on and advance our understanding of ocean biogeochemistry. The overall program goals are to promote, plan, and coordinate collaborative, multidisciplinary research opportunities within the U.S. research community and with international partners. Important OCB-related activities currently include: the Ocean Carbon and Climate Change (OCCC) and the North American Carbon Program (NACP); U.S. contributions to IMBER, SOLAS, CARBOOCEAN; and numerous U.S. single-investigator and medium-size research projects funded by U.S. federal agencies including NASA, NOAA, and NSF.
The scientific mission of OCB is to study the evolving role of the ocean in the global carbon cycle, in the face of environmental variability and change through studies of marine biogeochemical cycles and associated ecosystems.
The overarching OCB science themes include improved understanding and prediction of: 1) oceanic uptake and release of atmospheric CO2 and other greenhouse gases and 2) environmental sensitivities of biogeochemical cycles, marine ecosystems, and interactions between the two.
The OCB Research Priorities (updated January 2012) include: ocean acidification; terrestrial/coastal carbon fluxes and exchanges; climate sensitivities of and change in ecosystem structure and associated impacts on biogeochemical cycles; mesopelagic ecological and biogeochemical interactions; benthic-pelagic feedbacks on biogeochemical cycles; ocean carbon uptake and storage; and expanding low-oxygen conditions in the coastal and open oceans.
Funding Source | Award |
---|---|
NSF Division of Ocean Sciences (NSF OCE) |