Contributors | Affiliation | Role |
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Stukel, Michael | Florida State University (FSU) | Principal Investigator |
Kelly, Thomas | Florida State University (FSU) | Co-Principal Investigator |
In addition to the funding sources listed in the "Funding Source" section, this dataset was partially funded by:
National Oceanic and Atmospheric Administration's RESTORE Program Grant (Project Title: Effects of nitrogen sources and plankton food-web dynamics on habitat quality for the larvae of Atlantic bluefin tuna in the Gulf of Mexico) under federal funding opportunity NOAA-NOS-NCCOS-2017-2004875, including NOAA JIMAR Cooperative Agreement, award #NA16NMF4320058, NOAA CIMAS Cooperative Agreement, award #NA15OAR4320064, and NOAA CIMEAS Cooperative Agreement, award #NA15OAR4320071.
We conducted short term diel NO3- uptake experiments in deckboard incubators. Each incubator was uniformly shaded using clear or blue-tinted acrylic sheets to achieve three light levels as determined by simultaneously using a 2-π LI-COR photosynthetically active radiation (PAR) sensor to measure downwelling irradiance and a 4-π water-proof LI-COR PAR sensor to measure ambient irradiance within the incubator. These calibrations were done on the ship to account for light reflection or ship shading. Incubation light levels for the NF17 cruise were determined to be 145% (clear, surface), 79% (mixed layer), and 21% (lower mixed layer) of surface irradiance. For the NF1802 cruise, the clear incubator was replaced with one screened to 1.7% surface irradiance to mimic deep chlorophyll maximum light. All incubators were cooled with mixed-layer seawater. Samples were drawn from depths near these light levels (as determined from noon CTD casts with CTD-mounted PAR sensor).
Nine to twelve 2.7-L bottles were filled at dusk. Two or three “control” bottles (24-h incubation) and an additional “time point” bottle (4-h incubation) were immediately spiked with 15NO3- (the remainder of the bottles were not immediately spiked). All bottles were then placed in a single deckboard incubator. After ~4 h, the first experimental bottle was removed from the incubator and filtered as described above and a second experimental bottle was spiked. This process continued for 24h to produce six sequential 4-h incubations from which diurnal patterns of nutrient uptake could be determined. At the end of 24h, the control bottles were also removed and filtered. No diel experiments were conducted during C3 (NF1704). At the end of the incubation bottles were immediately vacuum filtered onto pre-combusted 25-mm GF/F filters in the dark. Filters were rinsed with filtered seawater, wrapped in foil and stored at 80°C. On land, samples were fumigated with HCl vapor to remove inorganic carbon, dried, and placed inside a tin cup for C/N and isotopic analysis at the UC Davis stable isotope facility. NO3- uptake rates in each incubation bottle (and associated uncertainties) were determined using equations in Stukel (2020). For additional details see Yingling et al. (submitted).
In situ nitrate uptake rates were estimated using either equation ρkan,is (Eq. 6) or ρreg,is (Eq. 14) from Stukel (2020). ρkan,is was used if there was not evidence for high recycling within the incubation bottle (Φ<0.6). ρreg,is was used if there was evidence for high recycling within the incubation bottle (Φ>0.6). See Fig. 4 of Stukel (2020).
BCO-DMO Data Manager Processing Notes:
* Data in original excel file "Diel Nitrate Uptake.xlsx" exported as csv with the formatting that was set in Excel.
* modified parameter names to conform with BCO-DMO naming conventions: only A-Za-z0-9 and underscore allowed. Can not start with a number. (spaces, +, and - changed to underscores).
* Converted Date format to ISO 8601 format yyyy-mm-dd
* Removed percent character "%" from the values in the Light_Level column so it could be typed as numeric. The units (percent) are described in the parameter description section.
File |
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diel_nitrate_uptake.csv (Comma Separated Values (.csv), 21.55 KB) MD5:da8e87cf2c704a0854770d0e1b9813f5 Primary data file for dataset ID 836195 |
Parameter | Description | Units |
Cruise | Name of cruise | unitless |
Sample | Sample name | unitless |
Cycle | Lagrangian Experiment Number | unitless |
Date | Date of collection and incubation | unitless |
Cast | CTD-Niskin rosette cast number | unitless |
Lon | Longitude | decimal degrees |
Lat | Latitude | decimal degrees |
Depth | Depth | meters (m) |
Light_Level | Percent surface irradiance | percent (%) |
Finish | Date and time at which sample was filtered in format %m/%d/%y %H:%M (e.g. 5/13/17 12:50). Local time zone varies between US/Eastern and US/Central over the course of this dataset. | unitless |
Duration | Duration of Incubation in decimal days | days |
T | Duration of Incubation in decimal hours | hours |
Sigma_T | Estimated measurement uncertainty (sigma, σ) for duration | hours |
P | PON, Particulate organic nitrogen (final) | micromoles of nitrogen per liter (µmol N L-1) |
Sigma_P | Estimated measurement uncertainty (sigma, σ) for PON | micromoles of nitrogen per liter (µmol N L-1) |
Ip_T | Ip(T), Isotope ratio of PON (final) | atom percent (%) |
Sigma_Ip_T | Estimated measurement uncertainty (sigma, σ) for Ip(T) | atom percent (%) |
Ip_0 | Ip(0), Isotope ratio of PON (initial) | atom percent (%) |
Sigma_Ip_0 | Estimated measurement uncertainty (sigma, σ) for Ip(0) | atom percent (%) |
I_spk | Isotope ratio of tracer spike | atom percent (%) |
Sigma_I_spk | Estimated measurement uncertainty (sigma, σ) for I_spk | atom percent (%) |
I_amb | Isotope ratio of ambient ammonium | atom percent (%) |
Sigma_I_amb | Uncertainty (sigma, σ) in I_amb | atom percent (%) |
N_spk | Final concentration of tracer spike. [N]spk | micromoles of nitrogen per liter (µmol N L-1) |
Sigma_N_spk | Estimated measurement uncertainty (sigma, σ) for [N]spk | micromoles of nitrogen per liter (µmol N L-1) |
N_amb | Ambient nitrate concentration | micromoles of nitrogen per liter (µmol N L-1) |
Sigma_N_amb | Estimated measurement uncertainty (sigma, σ) for [N]amb | micromoles of nitrogen per liter (µmol N L-1) |
a | Assumed ratio of regeneration to uptake | dimensionless |
Sigma_a | Estimated measurement uncertainty (sigma, σ) for "a" (Assumed ratio of regeneration to uptake). | dimensionless |
L10KS | Assumed log10(half-saturation constant) | micromoles of nitrogen per liter (µmol N L-1) |
Sigma_L10Ks | Estimated measurement uncertainty (sigma, σ) for L10KS | micromoles of nitrogen per liter (µmol N L-1) |
Nitrate_Uptake | Nitrate Uptake | nanomoles of nitorgen per liter per hour (nmol N L-1 h-1) |
Sigma_Nitrate_Uptake | Propagated measurement uncertainty (sigma, σ) for nitrate uptake | nanomoles of nitorgen per liter per hour (nmol N L-1 h-1) |
Start | Date and time at which incubation was started in format %m/%d/%y %H:%M (e.g. 5/13/17 12:50). Local time zone varies between US/Eastern and US/Central over the course of this dataset. | unitless |
Dataset-specific Instrument Name | |
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. |
Dataset-specific Instrument Name | PDZ Europa ANCA-GSL elemental analyzer |
Generic Instrument Name | Elemental Analyzer |
Dataset-specific Description | PDZ Europa ANCA-GSL elemental analyzer interfaced to a PDZ Europa 20-20 isotope ratio mass spectrometer (Sercon Ltd., Cheshire, UK). C/N and isotopic analysis at the UC Davis stable isotope facility. |
Generic Instrument Description | Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material. |
Dataset-specific Instrument Name | PDZ Europa 20-20 isotope ratio mass spectrometer (Sercon Ltd., Cheshire, UK) |
Generic Instrument Name | Isotope-ratio Mass Spectrometer |
Dataset-specific Description | PDZ Europa ANCA-GSL elemental analyzer interfaced to a PDZ Europa 20-20 isotope ratio mass spectrometer (Sercon Ltd., Cheshire, UK). C/N and isotopic analysis at the UC Davis stable isotope facility. |
Generic Instrument Description | The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer). |
Dataset-specific Instrument Name | |
Generic Instrument Name | Photosynthetically Available Radiation Sensor |
Dataset-specific Description | 2-π LI-COR photosynthetically active radiation (PAR) sensor to measure downwelling irradiance.
4-π water-proof LI-COR PAR sensor to measure ambient irradiance within the incubator.
Samples were drawn from depths near these light levels (as determined from noon CTD casts with CTD-mounted PAR sensor). |
Generic Instrument Description | A PAR sensor measures photosynthetically available (or active) radiation. The sensor measures photon flux density (photons per second per square meter) within the visible wavelength range (typically 400 to 700 nanometers). PAR gives an indication of the total energy available to plants for photosynthesis. This instrument name is used when specific type, make and model are not known. |
Website | |
Platform | R/V Nancy Foster |
Report | |
Start Date | 2017-05-07 |
End Date | 2017-06-02 |
Description | R/V Nancy Foster cruise in May 2017 as part of a NOAA RESTORE project (aka: BLOOFINZ-GoM). |
Website | |
Platform | R/V Nancy Foster |
Report | |
Start Date | 2018-04-27 |
End Date | 2018-05-20 |
Description | R/V Nancy Foster cruise in May 2018 as part of a NOAA RESTORE project (aka: BLOOFINZ-GoM). |
NSF Award Abstract:
The small area between NW Australia and Indonesia in the eastern Indian Ocean (IO) is the only known spawning ground of Southern Bluefin Tuna (SBT), a critically endangered top marine predator. Adult SBT migrate thousands of miles each year from high latitude feeding areas to lay their eggs in these tropical waters, where food concentrations on average are below levels that can support optimal feeding and growth of their larvae. Many critical aspects of this habitat are poorly known, such as the main source of nitrogen nutrient that sustains system productivity, how the planktonic food web operates to produce the unusual types of zooplankton prey that tuna larvae prefer, and how environmental differences in habitat quality associated with ocean fronts and eddies might be utilized by adult spawning tuna to give their larvae a greater chance for rapid growth and survival success. This project investigates these questions on a 38-day expedition in early 2021, during the peak time of SBT spawning. This project is a US contribution to the 2nd International Indian Ocean Expedition (IIOE-2) that advances understanding of biogeochemical and ecological dynamics in the poorly studied eastern IO. This is the first detailed study of nitrogen and carbon cycling in the region linking Pacific and IO waters. The shared dietary preferences of SBT larvae with those of other large tuna and billfish species may also make the insights gained broadly applicable to understanding larval recruitment issues for top consumers in other marine ecosystems. New information from the study will enhance international management efforts for SBT. The shared larval dietary preferences of large tuna and billfish species may also extend the insights gained broadly to many other marine top consumers, including Atlantic bluefin tuna that spawn in US waters of the Gulf of Mexico. The end-to-end study approach, highlights connections among physical environmental variability, biogeochemistry, and plankton food webs leading to charismatic and economically valuable fish production, is the theme for developing educational tools and modules through the "scientists-in-the-schools" program of the Center for Ocean-Atmospheric Prediction Studies at Florida State University, through a program for enhancing STEM learning pathways for underrepresented students in Hawaii, and through public outreach products for display at the Birch Aquarium in San Diego. The study also aims to support an immersive field experience to introduce talented high school students to marine research, with the goal of developing a sustainable marine-related educational program for underrepresented students in rural northwestern Florida.
Southern Bluefin Tuna (SBT) migrate long distances from high-latitude feeding grounds to spawn exclusively in a small oligotrophic area of the tropical eastern Indian Ocean (IO) that is rich in mesoscale structures, driven by complex currents and seasonally reversing monsoonal winds. To survive, SBT larvae must feed and grow rapidly under environmental conditions that challenge conventional understanding of food-web structure and functional relationships in poor open-ocean systems. The preferred prey of SBT larvae, cladocerans and Corycaeidae copepods, are poorly studied and have widely different implications for trophic transfer efficiencies to larvae. Differences in nitrogen sources - N fixation vs deep nitrate of Pacific origin - to sustain new production in the region also has implications for conditions that may select for prey types (notably cladocerans) that enhance transfer efficiency and growth rates of SBT larvae. The relative importance of these N sources for the IO ecosystem may affect SBT resiliency to projected increased ocean stratification. This research expedition investigates how mesoscale variability in new production, food-web structure and trophic fluxes affects feeding and growth conditions for SBT larvae. Sampling across mesoscale features tests hypothesized relationships linking variability in SBT larval feeding and prey preferences (gut contents), growth rates (otolith analyses) and trophic positions (TP) to the environmental conditions of waters selected by adult spawners. Trophic Positions of larvae and their prey are determined using Compound-Specific Isotope Analyses of Amino Acids (CSIA-AA). Lagrangian experiments investigate underlying process rates and relationships through measurements of water-column 14C productivity, N2 fixation, 15NO3- uptake and nitrification; community biomass and composition (flow cytometry, pigments, microscopy, in situ imaging, genetic analyses); and trophic fluxes through micro- and mesozooplankton grazing, remineralization and export. Biogeochemical and food web elements of the study are linked by CSIA-AA (N source, TP), 15N-constrained budgets and modeling. The project elements comprise an end-to-end coupled biogeochemistry-trophic study as has not been done previously for any pelagic ecosystem.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Amendment #136: Current stock assessments for the Gulf of Mexico require better ecosystem understanding to effectively evaluate how bottom-up processes limit or enhance Atlantic Bluefin Tuna recruitment. The objective of this proposal is to elucidate the underlying mechanisms that link variability in nitrogen sources and food-web fluxes in the Gulf of Mexico to habitat quality, feeding, growth and survival for Atlantic Bluefin Tuna larvae. This proposal addresses the Program Priority: Comprehensive understanding of living coastal and marine resources, food web dynamics, habitat utilization, protected areas, and carbon flows, specifically "(d) Food web structure and dynamics, trophic linkages, and/or predator-prey relationships, especially projects that develop and/or apply new techniques or technologies".
Description from the program website:
The Second International Indian Ocean Expedition (IIOE-2) is a major global scientific program which will engage the international scientific community in collaborative oceanographic and atmospheric research from coastal environments to the deep sea over the period 2015-2020, revealing new information on the Indian Ocean (i.e. its currents, its influence upon the climate, its marine ecosystems) which is fundamental for future sustainable development and expansion of the Indian Ocean's blue economy. A large number of scientists from research institutions from around the Indian Ocean and beyond are planning their involvement in IIOE-2 in accordance with the overarching six scientific themes of the program. Already some large collaborative research projects are under development, and it is anticipated that by the time these projects are underway, many more will be in planning or about to commence as the scope and global engagement in IIOE-2 grows.
Focused research on the Indian Ocean has a number of benefits for all nations. The Indian Ocean is complex and drives the region's climate including extreme events (e.g. cyclones, droughts, severe rains, waves and storm surges). It is the source of important socio-economic resources (e.g. fisheries, oil and gas exploration/extraction, eco-tourism, and food and energy security) and is the background and focus of many of the region's human populations around its margins. Research and observations supported through IIOE-2 will result in an improved understanding of the ocean's physical and biological oceanography, and related air-ocean climate interactions (both in the short-term and long-term). The IIOE-2's program will complement and harmonise with other regional programs underway and collectively the outcomes of IIOE-2 will be of huge benefit to individual and regional sustainable development as the information is a critical component of improved decision making in areas such as maritime services and safety, environmental management, climate monitoring and prediction, food and energy security.
IIOE-2 activities will also include a significant focus on building the capacity of all nations around the Indian Ocean to understand and apply observational data or research outputs for their own socio-economic requirements and decisions. IIOE-2 capacity building programs will therefore be focused on the translation of the science and information outputs for societal benefit and training of relevant individuals from surrounding nations in these areas.
A Steering Committee was established to support U.S. participation in IIOE-2. More information is available on their website at https://web.whoi.edu/iioe2/.
Funding Source | Award |
---|---|
National Oceanic and Atmospheric Administration (NOAA) | |
NSF Division of Ocean Sciences (NSF OCE) |