http://lod.bco-dmo.org/id/dataset/835091
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2020-12-31
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Mesozooplankton grazing rates from samples collected in the oceanic Gulf of Mexico on R/V Nancy Foster cruises NF1704 and NF1802 in May 2017 and May 2018
2021-01-12
publication
2021-01-12
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-01-13
publication
https://doi.org/10.26008/1912/bco-dmo.835091.1
Michael R. Landry
University of California-San Diego Scripps
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Landry, M. R. (2021) Mesozooplankton grazing rates from samples collected in the oceanic Gulf of Mexico on R/V Nancy Foster cruises NF1704 and NF1802 in May 2017 and May 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-01-12 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.835091.1 [access date]
Mesozooplankton grazing rates in oceanic Gulf of Mexico Dataset Description: Methods and Sampling: <p>This dataset is from zooplankton net tows in the Gulf of Mexico on R/V Nancy Foster cruises in May 2017 and May 2018, which were part of a NOAA RESTORE project (aka: BLOOFINZ-GoM) led by Dr. John Lamkin to investigate the epipelagic marine nitrogen cycle, plankton dynamics, and impacts on growth and survival of larval Atlantic Bluefin Tuna (ABT). These data are meant to be used in inter-species, interregional comparisons to data from the BLOOFIN-IO study of larval Southern Bluefin Tuna in the Indian Ocean spawning region.</p>
<p>Oblique net tows were taken to obtain estimates of mesozooplankton standing stocks and grazing over the depth range of the euphotic zone. Generally, we sampled during midday (1100-1400 h) and midnight (2200-0100 h) hours following a drogued drifter, allowing estimates of diel vertical migrant biomass by difference. We used a 1-m ring net with 202-µm Nitex mesh and a General Oceanics flow meter to measure volume filtered. Depth of tow was controlled by a depth sensor on the hydrowire. Net tow contents were anesthetized with ice-cold carbonated water and split with a Folsom splitter, with half preserved in 4% buffered formalin and half size-fractionated using nested sieves into five size classes: 0.2-0.5, 0.5-1, 1-2, 2-5 and &gt;5 mm. Each size fraction was concentrated on a preweighed 202-m Nitex filter, rinsed with isotonic ammonium formate to remove sea salt, and frozen at -85°C for lab analysis.</p>
<p>In the laboratory, frozen size-fractioned zooplankton on the Nitex filters were thawed, set briefly on blotting paper to remove excess water, and weighed moist for total sample wet weight (WW). Wet samples were subsampled for gut pigment analyses by removing replicate portions of the biomass and recording weights before and after each subsampling (fraction of total WW removed). The remaining wet biomass on the filters was oven dried at 60°C for 24 h before weighing dry (DW:WW ratio). For each size fraction, zooplankton dry weight (mg m-2) was calculated from the measured WW (less initial filter weight), DW:WW ratio, measured volume and depth of tow, and fraction of sample analyzed. The remaining dried sample was subsequently scraped off the filter, ground to a power with a mortar and pestle, and subsampled by weight for carbon (C), nitrogen (N).</p>
<p>Wet weight subsamples were placed in borosilicate glass tubes with 7 mL of 90% acetone and homogenized (multiple 20-sec bursts) in an ice bath with a Vibracell sonicator probe. They were then extracted overnight (18-24 h) in a -20°C freezer and warmed to room temperature in a dark container prior to analysis. The homogenate was shaken and centrifuged (5 min at 3000 rpm) to remove particulates. Concentrations of chlorophyll a (Chla) and phaeopigments (Phaeo) were then measured by the acidification method using a 10AU fluorometer. Water-column estimates of depth-integrated Chla for the euphotic zone were made similarly from analyses of duplicate 0.25 L samples collected from CTD hydrocasts, extracted for 24 h in 90% acetone, and measured on the same fluorometer.</p>
<p>For each size-fraction analyzed, we computed the depth-integrated concentration of gut pigment as GPC = [Phaeo] * D / (vol * f), where GPC is gut pigment content (mg m-2), [Phaeo] is the measured Phaeo value (mg), f is fraction of sample analyzed, D is depth of tow (m) and vol is the volume of water filtered (m^3).</p>
<p>We estimated grazing rates (G, mg pigment m-2 h-1) for each size fraction and for the total zooplankton assemblage as G = GPC * 60 * K, where K (min-1) is the gut evacuation rate constant. For K, we used a gut passage rate of 2.1 h-1 measured under similar surface water temperatures in the equatorial Pacific. To compute dry-weight or carbon-specific rates of phytoplankton grazing by the zooplankton assemblage and individual size classes, we divided G by DW or carbon biomass (mg m-2).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851558 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851558
Funding provided by National Oceanic and Atmospheric Administration (NOAA) Award Number: NA15OAR4320071 Award URL: https://grantsonline.rdc.noaa.gov/flows/publicSearch/showAwardDetails.do?awdNum=NA15OAR4320071
completed
Michael R. Landry
University of California-San Diego Scripps
858-534-4702
9500 Gilman Drive Mail Code: 0227
La Jolla
CA
92093-0227
USA
mlandry@ucsd.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Cruise
Tow_ID
Station
Cycle
Date
Month
Day
Year
Julian_Day
Lat
Long
Day_Night
Time_IN
ISO_DateTime_Local
Tow_Duration
Depth
Vol
Phaeo_0d2_0d5_mm
Phaeo_0d5_1_mm
Phaeo_1_2_mm
Phaeo_2_5_mm
Phaeo_gt_5_mm
Phaeo_TOTAL
grazing_rate_0d2_0d5_mm
grazing_rate_0d5_1_mm
grazing_rate_1_2_mm
grazing_rate_2_5_mm
grazing_rate_gt_5_mm
grazing_rate_TOTAL
DW_grazing_rate_0d2_0d5_mm
DW_grazing_rate_0d5_1_mm
DW_grazing_rate_1_2_mm
DW_grazing_rate_2_5_mm
DW_grazing_rate_gt_5_mm
DW_grazing_rate_TOTAL
C_grazing_rate_0d2_0d5_mm
C_grazing_rate_0d5_1_mm
C_grazing_rate_1_2_mm
C_grazing_rate_2_5_mm
C_grazing_rate_gt_5_mm
C_grazing_rate_TOTAL
centrifuge
CTD hydrocasts
General Oceanics flow meter
Folsom splitter
1-m ring net
10AU fluorometer
Vibracell sonicator probe
theme
None, User defined
Cruise identfier
tow
station
No BCO-DMO term
date
month of year
day of month
year
Julian day as a decimal (time elapsed in days from 00:00 on January 1st 4713 BC)
latitude
longitude
time_of_day
time of day
ISO_DateTime_Local
time_elapsed
depth
volume
Stomach and gut contents
featureType
BCO-DMO Standard Parameters
Centrifuge
CTD - profiler
Flow Meter
Folsom Plankton Splitter
Ring Net
Turner Designs Fluorometer 10-AU
ultrasonic cell disrupter (sonicator)
instrument
BCO-DMO Standard Instruments
NF1704
NF1802
service
Deployment Activity
Gulf of Mexico
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Second International Indian Ocean Expedition
https://web.whoi.edu/iioe2/
Second International Indian Ocean Expedition
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/.
IIOE-2
largerWorkCitation
program
Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean
https://osprey.bco-dmo.org/project/819488
Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean
<p><em>NSF Award Abstract:</em><br />
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.</p>
<p>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.</p>
<p>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.</p>
BLOOFINZ-IO
largerWorkCitation
project
eng; USA
oceans
Gulf of Mexico
-90.1851
-84.3171
24.9727
28.3463
2017-05-10
2018-05-19
Eastern Indian Ocean, Indonesian Throughflow area, and the Gulf of Mexico
0
BCO-DMO catalogue of parameters from Mesozooplankton grazing rates from samples collected in the oceanic Gulf of Mexico on R/V Nancy Foster cruises NF1704 and NF1802 in May 2017 and May 2018
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/835110.rdf
Name: Cruise
Units: unitless
Description: <p>Cruise identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/835111.rdf
Name: Tow_ID
Units: unitless
Description: <p>Tow identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/835112.rdf
Name: Station
Units: unitless
Description: <p>Station number</p>
http://lod.bco-dmo.org/id/dataset-parameter/835113.rdf
Name: Cycle
Units: unitless
Description: <p>Cycle number; each cycle is a multi-day experiment following a satellite tracked drifter.</p>
http://lod.bco-dmo.org/id/dataset-parameter/835114.rdf
Name: Date
Units: unitless
Description: <p>Date (Central Standard (GMT-6)); format: MM/DD/YYYY</p>
http://lod.bco-dmo.org/id/dataset-parameter/835115.rdf
Name: Month
Units: unitless
Description: <p>2-digit month of year</p>
http://lod.bco-dmo.org/id/dataset-parameter/835116.rdf
Name: Day
Units: unitless
Description: <p>2-digit day of month</p>
http://lod.bco-dmo.org/id/dataset-parameter/835117.rdf
Name: Year
Units: unitless
Description: <p>4-digit year</p>
http://lod.bco-dmo.org/id/dataset-parameter/835118.rdf
Name: Julian_Day
Units: unitless
Description: <p>Julian day</p>
http://lod.bco-dmo.org/id/dataset-parameter/835119.rdf
Name: Lat
Units: degrees North
Description: <p>Latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/835120.rdf
Name: Long
Units: degrees East
Description: <p>Longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/835121.rdf
Name: Day_Night
Units: unitless
Description: <p>Day or night indicator: 1 = day, 2 = night</p>
http://lod.bco-dmo.org/id/dataset-parameter/835122.rdf
Name: Time_IN
Units: unitless
Description: <p>Time in (Central Standard (GMT-6)); format: HH:MM:SS AM/PM</p>
http://lod.bco-dmo.org/id/dataset-parameter/835123.rdf
Name: ISO_DateTime_Local
Units: unitless
Description: <p>Date and time in formatted to ISO8601 standard (Central Standard (GMT-6)); format: YYYY-MM-DDThh:mm:ss</p>
http://lod.bco-dmo.org/id/dataset-parameter/835124.rdf
Name: Tow_Duration
Units: unitless
Description: <p>Tow duration; format: HH:MM</p>
http://lod.bco-dmo.org/id/dataset-parameter/835125.rdf
Name: Depth
Units: meters
Description: <p>Depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/835126.rdf
Name: Vol
Units: cubic meters
Description: <p>Sample volume</p>
http://lod.bco-dmo.org/id/dataset-parameter/835127.rdf
Name: Phaeo_0d2_0d5_mm
Units: micrograms Phaeo per square meter (µg Phaeo m-2)
Description: <p>Phaeopigment gut contents of the 0.2-0.5mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835128.rdf
Name: Phaeo_0d5_1_mm
Units: micrograms Phaeo per square meter (µg Phaeo m-2)
Description: <p>Phaeopigment gut contents of the 0.5-1mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835129.rdf
Name: Phaeo_1_2_mm
Units: micrograms Phaeo per square meter (µg Phaeo m-2)
Description: <p>Phaeopigment gut contents of the 1-2mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835130.rdf
Name: Phaeo_2_5_mm
Units: micrograms Phaeo per square meter (µg Phaeo m-2)
Description: <p>Phaeopigment gut contents of the 2-5mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835131.rdf
Name: Phaeo_gt_5_mm
Units: micrograms Phaeo per square meter (µg Phaeo m-2)
Description: <p>Phaeopigment gut contents of the >5mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835132.rdf
Name: Phaeo_TOTAL
Units: micrograms Phaeo per square meter (µg Phaeo m-2)
Description: <p>Total phaeopigment gut contents</p>
http://lod.bco-dmo.org/id/dataset-parameter/835133.rdf
Name: grazing_rate_0d2_0d5_mm
Units: micrograms Chl per square meter per hour (µg Chl m-2 h-1)
Description: <p>Grazing rate of the 0.2-0.5mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835134.rdf
Name: grazing_rate_0d5_1_mm
Units: micrograms Chl per square meter per hour (µg Chl m-2 h-1)
Description: <p>Grazing rate of the 0.5-1mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835135.rdf
Name: grazing_rate_1_2_mm
Units: micrograms Chl per square meter per hour (µg Chl m-2 h-1)
Description: <p>Grazing rate of the 1-2mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835136.rdf
Name: grazing_rate_2_5_mm
Units: micrograms Chl per square meter per hour (µg Chl m-2 h-1)
Description: <p>Grazing rate of the 2-5mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835137.rdf
Name: grazing_rate_gt_5_mm
Units: micrograms Chl per square meter per hour (µg Chl m-2 h-1)
Description: <p>Grazing rate of the >5mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835138.rdf
Name: grazing_rate_TOTAL
Units: micrograms Chl per square meter per hour (µg Chl m-2 h-1)
Description: <p>Total grazing rate</p>
http://lod.bco-dmo.org/id/dataset-parameter/835139.rdf
Name: DW_grazing_rate_0d2_0d5_mm
Units: nanograms Chl per milligrams dry weight per hour (ng Chl (mg DW)-1 h-1)
Description: <p>Dry weight-specific grazing rate of the 0.2-0.5mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835140.rdf
Name: DW_grazing_rate_0d5_1_mm
Units: nanograms Chl per milligrams dry weight per hour (ng Chl (mg DW)-1 h-1)
Description: <p>Dry weight-specific grazing rate of the 0.5-1mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835141.rdf
Name: DW_grazing_rate_1_2_mm
Units: nanograms Chl per milligrams dry weight per hour (ng Chl (mg DW)-1 h-1)
Description: <p>Dry weight-specific grazing rate of the 1-2mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835142.rdf
Name: DW_grazing_rate_2_5_mm
Units: nanograms Chl per milligrams dry weight per hour (ng Chl (mg DW)-1 h-1)
Description: <p>Dry weight-specific grazing rate of the 2-5mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835143.rdf
Name: DW_grazing_rate_gt_5_mm
Units: nanograms Chl per milligrams dry weight per hour (ng Chl (mg DW)-1 h-1)
Description: <p>Dry weight-specific grazing rate of the >5mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835144.rdf
Name: DW_grazing_rate_TOTAL
Units: nanograms Chl per milligrams dry weight per hour (ng Chl (mg DW)-1 h-1)
Description: <p>Total dry weight-specific grazing rate</p>
http://lod.bco-dmo.org/id/dataset-parameter/835145.rdf
Name: C_grazing_rate_0d2_0d5_mm
Units: nanograms Chl per milligrams carbon per hour (ng Chl (mg C)-1 h-1)
Description: <p>Carbon-specific grazing rate of the 0.2-0.5mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835146.rdf
Name: C_grazing_rate_0d5_1_mm
Units: nanograms Chl per milligrams carbon per hour (ng Chl (mg C)-1 h-1)
Description: <p>Carbon-specific grazing rate of the 0.5-1mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835147.rdf
Name: C_grazing_rate_1_2_mm
Units: nanograms Chl per milligrams carbon per hour (ng Chl (mg C)-1 h-1)
Description: <p>Carbon-specific grazing rate of the 1-2mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835148.rdf
Name: C_grazing_rate_2_5_mm
Units: nanograms Chl per milligrams carbon per hour (ng Chl (mg C)-1 h-1)
Description: <p>Carbon-specific grazing rate of the 2-5mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835149.rdf
Name: C_grazing_rate_gt_5_mm
Units: nanograms Chl per milligrams carbon per hour (ng Chl (mg C)-1 h-1)
Description: <p>Carbon-specific grazing rate of the >5mm size class</p>
http://lod.bco-dmo.org/id/dataset-parameter/835150.rdf
Name: C_grazing_rate_TOTAL
Units: nanograms Chl per milligrams carbon per hour (ng Chl (mg C)-1 h-1)
Description: <p>Total carbon-specific grazing rate</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
10181
https://darchive.mblwhoilibrary.org/bitstream/1912/26566/1/dataset-835091_mesozoo-grazing-bloofinz-gom__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.835091.1
download
onLine
dataset
<p>This dataset is from zooplankton net tows in the Gulf of Mexico on R/V Nancy Foster cruises in May 2017 and May 2018, which were part of a NOAA RESTORE project (aka: BLOOFINZ-GoM) led by Dr. John Lamkin to investigate the epipelagic marine nitrogen cycle, plankton dynamics, and impacts on growth and survival of larval Atlantic Bluefin Tuna (ABT). These data are meant to be used in inter-species, interregional comparisons to data from the BLOOFIN-IO study of larval Southern Bluefin Tuna in the Indian Ocean spawning region.</p>
<p>Oblique net tows were taken to obtain estimates of mesozooplankton standing stocks and grazing over the depth range of the euphotic zone. Generally, we sampled during midday (1100-1400 h) and midnight (2200-0100 h) hours following a drogued drifter, allowing estimates of diel vertical migrant biomass by difference. We used a 1-m ring net with 202-µm Nitex mesh and a General Oceanics flow meter to measure volume filtered. Depth of tow was controlled by a depth sensor on the hydrowire. Net tow contents were anesthetized with ice-cold carbonated water and split with a Folsom splitter, with half preserved in 4% buffered formalin and half size-fractionated using nested sieves into five size classes: 0.2-0.5, 0.5-1, 1-2, 2-5 and &gt;5 mm. Each size fraction was concentrated on a preweighed 202-m Nitex filter, rinsed with isotonic ammonium formate to remove sea salt, and frozen at -85°C for lab analysis.</p>
<p>In the laboratory, frozen size-fractioned zooplankton on the Nitex filters were thawed, set briefly on blotting paper to remove excess water, and weighed moist for total sample wet weight (WW). Wet samples were subsampled for gut pigment analyses by removing replicate portions of the biomass and recording weights before and after each subsampling (fraction of total WW removed). The remaining wet biomass on the filters was oven dried at 60°C for 24 h before weighing dry (DW:WW ratio). For each size fraction, zooplankton dry weight (mg m-2) was calculated from the measured WW (less initial filter weight), DW:WW ratio, measured volume and depth of tow, and fraction of sample analyzed. The remaining dried sample was subsequently scraped off the filter, ground to a power with a mortar and pestle, and subsampled by weight for carbon (C), nitrogen (N).</p>
<p>Wet weight subsamples were placed in borosilicate glass tubes with 7 mL of 90% acetone and homogenized (multiple 20-sec bursts) in an ice bath with a Vibracell sonicator probe. They were then extracted overnight (18-24 h) in a -20°C freezer and warmed to room temperature in a dark container prior to analysis. The homogenate was shaken and centrifuged (5 min at 3000 rpm) to remove particulates. Concentrations of chlorophyll a (Chla) and phaeopigments (Phaeo) were then measured by the acidification method using a 10AU fluorometer. Water-column estimates of depth-integrated Chla for the euphotic zone were made similarly from analyses of duplicate 0.25 L samples collected from CTD hydrocasts, extracted for 24 h in 90% acetone, and measured on the same fluorometer.</p>
<p>For each size-fraction analyzed, we computed the depth-integrated concentration of gut pigment as GPC = [Phaeo] * D / (vol * f), where GPC is gut pigment content (mg m-2), [Phaeo] is the measured Phaeo value (mg), f is fraction of sample analyzed, D is depth of tow (m) and vol is the volume of water filtered (m^3).</p>
<p>We estimated grazing rates (G, mg pigment m-2 h-1) for each size fraction and for the total zooplankton assemblage as G = GPC * 60 * K, where K (min-1) is the gut evacuation rate constant. For K, we used a gut passage rate of 2.1 h-1 measured under similar surface water temperatures in the equatorial Pacific. To compute dry-weight or carbon-specific rates of phytoplankton grazing by the zooplankton assemblage and individual size classes, we divided G by DW or carbon biomass (mg m-2).</p>
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<p><strong>BCO-DMO Processing:</strong><br />
- renamed fields;<br />
- added date/time field in ISO8601 format;<br />
- converted Long from positive degrees west to negative degrees east.</p>
Specified by the Principal Investigator(s)
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centrifuge
centrifuge
PI Supplied Instrument Name: centrifuge PI Supplied Instrument Description:The homogenate was shaken and centrifuged (5 min at 3000 rpm) to remove particulates. Instrument Name: Centrifuge Instrument Short Name: Instrument Description: A machine with a rapidly rotating container that applies centrifugal force to its contents, typically to separate fluids of different densities (e.g., cream from milk) or liquids from solids.
CTD hydrocasts
CTD hydrocasts
PI Supplied Instrument Name: CTD hydrocasts PI Supplied Instrument Description:Water-column estimates of depth-integrated Chla for the euphotic zone were made similarly from analyses of duplicate 0.25 L samples collected from CTD hydrocasts, extracted for 24 h in 90% acetone, and measured on the same fluorometer. Instrument Name: CTD - profiler Instrument Short Name: 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. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/130/
General Oceanics flow meter
General Oceanics flow meter
PI Supplied Instrument Name: General Oceanics flow meter PI Supplied Instrument Description:We used a 1-m ring net with 202-µm Nitex mesh and a General Oceanics flow meter to measure volume filtered. Instrument Name: Flow Meter Instrument Short Name:Flow Meter Instrument Description: General term for a sensor that quantifies the rate at which fluids (e.g. water or air) pass through sensor packages, instruments, or sampling devices. A flow meter may be mechanical, optical, electromagnetic, etc. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/388/
Folsom splitter
Folsom splitter
PI Supplied Instrument Name: Folsom splitter PI Supplied Instrument Description:Net tow contents were anesthetized with ice-cold carbonated water and split with a Folsom splitter. Instrument Name: Folsom Plankton Splitter Instrument Short Name:Folsom Splitter Instrument Description: A device for sub-sampling of plankton and ichthyoplankton samples by splitting, developed by Dr. Folsom of the Scripps Institute of Oceanography. Ideally suited for splitting plankton samples with minimal debris. A measured volume of plankton sample is placed in the undivided section of the drum. This is rotated 120 degrees to divide the stirred sample with a separating blade. Standard Methods suggests splitting until a subsample of 200-500 individuals is obtained.
1-m ring net
1-m ring net
PI Supplied Instrument Name: 1-m ring net PI Supplied Instrument Description:We used a 1-m ring net with 202-µm Nitex mesh and a General Oceanics flow meter to measure volume filtered. Instrument Name: Ring Net Instrument Short Name:Ring Net Instrument Description: A Ring Net is a generic plankton net, made by attaching a net of any mesh size to a metal ring of any diameter. There are 1 meter, .75 meter, .25 meter and .5 meter nets that are used regularly. The most common zooplankton ring net is 1 meter in diameter and of mesh size .333mm, also known as a 'meter net' (see Meter Net). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/22/
10AU fluorometer
10AU fluorometer
PI Supplied Instrument Name: 10AU fluorometer PI Supplied Instrument Description:Concentrations of chlorophyll a (Chla) and phaeopigments (Phaeo) were then measured by the acidification method using a 10AU fluorometer. Instrument Name: Turner Designs Fluorometer 10-AU Instrument Short Name:Turner Fluorometer 10-AU Instrument Description: The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA). Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/
Vibracell sonicator probe
Vibracell sonicator probe
PI Supplied Instrument Name: Vibracell sonicator probe PI Supplied Instrument Description:Wet weight subsamples were placed in borosilicate glass tubes with 7 mL of 90% acetone and homogenized (multiple 20-sec bursts) in an ice bath with a Vibracell sonicator probe. Instrument Name: ultrasonic cell disrupter (sonicator) Instrument Short Name: Instrument Description: Instrument that applies sound energy to agitate particles in a sample.
Cruise: NF1704
NF1704
R/V Nancy Foster
Community Standard Description
International Council for the Exploration of the Sea
R/V Nancy Foster
vessel
NF1704
Estrella Malca
University of Miami
https://datadocs.bco-dmo.org/docs/302/BLOOFINZ_IO/data_docs/cruise_reports/NF1704_CRUISE_REPORT.pdf
Report describing NF1704
Cruise: NF1802
NF1802
R/V Nancy Foster
Community Standard Description
International Council for the Exploration of the Sea
R/V Nancy Foster
vessel
NF1802
John Lamkin
NOAA Southeast Fisheries Science Center
https://datadocs.bco-dmo.org/docs/302/BLOOFINZ_IO/data_docs/cruise_reports/NF1802_CRUISE_REPORT.pdf
Report describing NF1802
R/V Nancy Foster
Community Standard Description
International Council for the Exploration of the Sea
R/V Nancy Foster
vessel