| Contributors | Affiliation | Role |
|---|---|---|
| Landry, Michael R. | University of California-San Diego Scripps (UCSD-SIO) | Principal Investigator |
| Mickle, Audrey | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Dilution experiments were conducted during four “cycle” experiments on BLOOFINZ cruise RR2201. For each experiment, seawater was collected from Niskin bottles on early-morning CTD hydrocasts (~02:00 local time) at 6 depths in the euphotic zone. For each depth sampled, a two-treatment dilution experiment (Landry et al., 2008, 2011) was prepared, with one polycarbonate bottle (2.7 L) containing unfiltered seawater (100%) and the second (diluted) bottle consisting of ~33% whole seawater with filtered water from the same depth. Seawater was filtered directly from the Niskin bottles using a peristaltic pump, silicone tubing and an in-line 0.2 µm Suporcap (Pall Acro) filter capsule that had previously been acid washed (3.7% trace-metal grade HCl; Milli-Q and seawater rinses). All bottles were secured in coarse net bags clipped to the line of a drogued, satellite-tracked drifter and incubated in situ for 24 h at the depth of collection. Initial and final samples (250 mL) for FlChla were filtered onto GF/F filters and extracted with 90% acetone in a -20°C freezer for 24 h and analyzed on a Turner Designs model 10 fluorometer. Samples (2.3 L) for HPLC analyses of chlorophyll and carotenoid pigments were concentrated onto GF/F filters under low vacuum pressure, immediately frozen in liquid nitrogen and stored at -80°C. The samples were extracted for 2 h in 100% methanol, disrupted by sonication, clarified by GF/F filtration and analyzed (Agilent Technologies 1200 Series) at the analytical facility of the Institut de la Mer de Villefranche (CNRS-France).
| File |
|---|
969903_v1_rr2201_phytoplankton_growth_grazing.csv (Comma Separated Values (.csv), 11.50 KB) MD5:bd4eebfa9e81ca34cdbd585a05ba5bfa Primary data file for dataset ID 969903, version 1 |
| Parameter | Description | Units |
| Cruise | Cruise experiments were conducted on | unitless |
| Event | Unique event number in UTC time as YYYYMMDD.mmss.###, where ### distinguishes events entered within the same minute | unitless |
| ISO_DateTime_UTC | Date and time (UTC) of CTD deployment in ISO 8601 format %Y-%m-%dT%H:%MZ | unitless |
| Latitude | Latitude (North is positive; South is negative) | decimal degrees |
| Longitude | Longitude (East is positive; West is negative) | decimal degrees |
| Cycle_Day | Lagrangian cycle experiments following a drogued drifter are noted as Cycle,Day, e.g., C1,D1, C1,D2, etc. | unitless |
| CTD_Cast | CTD cast number of initial water collection in Event Log | unitless |
| Exp | Dilution experiment number | unitless |
| Depth | Depth (meters) of initial seawater collection and in situ incubation | meters (m) |
| FLChla_um | Phytoplankton growth rate (per day) based on fluorometric measurement of chlorophyll a | per day (d-1) |
| FLChla_m | Grazing mortality rate (per day) based on fluorometric measurement of chlorophyll a | per day (d-1) |
| DVChla_um | Phytoplankton growth rate (per day) based on HPLC measurement of divinyl chlorophyll a | per day (d-1) |
| DVChla_m | Grazing mortality rate (per day) based on HPLC measurement of divinyl chlorophyll a | per day (d-1) |
| MVChla_um | Phytoplankton growth rate (per day) based on HPLC measurement of monovinyl chlorophyll a | per day (d-1) |
| MVChla_m | Grazing mortality rate (per day) based on HPLC measurement of monovinyl chlorophyll a | per day (d-1) |
| TChla_um | Phytoplankton growth rate (per day) based on HPLC measurement of total chlorophyll a | per day (d-1) |
| TChla_m | Grazing mortality rate (per day) based on HPLC measurement of total chlorophyll a | per day (d-1) |
| But_um | Phytoplankton growth rate (per day) based on HPLC measurement of 19′‐butanoyloxyfucoxanthin | per day (d-1) |
| But_m | Grazing mortality rate (per day) based on HPLC measurement of 19′‐butanoyloxyfucoxanthin | per day (d-1) |
| Fuco_um | Phytoplankton growth rate (per day) based on HPLC measurement of fucoxanthin | per day (d-1) |
| Fuco_m | Grazing mortality rate (per day) based on HPLC measurement of fucoxanthin | per day (d-1) |
| Hex_um | Phytoplankton growth rate (per day) based on HPLC measurement of 19′‐hexanoyloxyfucoxanthin | per day (d-1) |
| Hex_m | Grazing mortality rate (per day) based on HPLC measurement of 19′‐hexanoyloxyfucoxanthin | per day (d-1) |
| Dataset-specific Instrument Name | drogued, satellite-tracked drifter |
| Generic Instrument Name | Drifter Buoy |
| Dataset-specific Description | All bottles were secured in coarse net bags clipped to the line of a drogued, satellite-tracked drifter and incubated in situ for 24 h at the depth of collection. |
| Generic Instrument Description | Drifting buoys are free drifting platforms with a float or buoy that keep the drifter at the surface and underwater sails or socks that catch the current. These instruments sit at the surface of the ocean and are transported via near-surface ocean currents. They are not fixed to the ocean bottom, therefore they "drift" with the currents. For this reason, these instruments are referred to as drifters, or drifting buoys.
The surface float contains sensors that measure different parameters, such as sea surface temperature, barometric pressure, salinity, wave height, etc. Data collected from these sensors are transmitted to satellites passing overhead, which are then relayed to land-based data centers.
definition sources: https://mmisw.org/ont/ioos/platform/drifting_buoy and https://www.aoml.noaa.gov/phod/gdp/faq.php#drifter1 |
| Dataset-specific Instrument Name | Turner Designs 10 fluorometer |
| Generic Instrument Name | Fluorometer |
| Dataset-specific Description | Initial and final samples (250 mL) for FlChla were filtered onto GF/F filters and extracted with 90% acetone in a -20°C freezer for 24 h and analyzed on a Turner Designs model 10 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 | High Performance Liquid Chromatography (Agilent Technologies 1200 Series) |
| Generic Instrument Name | High-Performance Liquid Chromatograph |
| Dataset-specific Description | The samples were extracted for 2 h in 100% methanol, disrupted by sonication, clarified by GF/F filtration and analyzed (Agilent Technologies 1200 Series) at the analytical facility of the Institut de la Mer de Villefranche (CNRS-France). |
| Generic Instrument Description | A High-performance liquid chromatograph (HPLC) is a type of liquid chromatography used to separate compounds that are dissolved in solution. HPLC instruments consist of a reservoir of the mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by high pressure pumping of the sample mixture onto a column packed with microspheres coated with the stationary phase. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase. |
| Dataset-specific Instrument Name | Niskin bottles |
| Generic Instrument Name | Niskin bottle |
| Dataset-specific Description | For each experiment, seawater was collected from Niskin bottles on early-morning CTD hydrocasts (~02:00 local time) at 6 depths in the euphotic zone. |
| 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. |
| Website | |
| Platform | R/V Roger Revelle |
| Report | |
| Start Date | 2022-01-20 |
| End Date | 2022-03-14 |
| Description | See more information at R2R: https://www.rvdata.us/search/cruise/RR2201 |
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.
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 |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |