http://lod.bco-dmo.org/id/dataset/908171
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
2023-09-12
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Carbon and Nitrogen stable isotope measurements for various marine samples collected from the Gulf of Mexico as well as eggs, animals, and food sources collected in the laboratory and commercial sources from 2020 to 2022.
2023-09-12
publication
2023-09-12
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2024-01-17
publication
https://doi.org/10.26008/1912/bco-dmo.908171.1
Lee A. Fuiman
University of Texas - Marine Science Institute
principalInvestigator
Parvathi Nair
University of Texas - Marine Science Institute
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: Fuiman, L. A., Nair, P. (2024) Carbon and Nitrogen stable isotope measurements for various marine samples collected from the Gulf of Mexico as well as eggs, animals, and food sources collected in the laboratory and commercial sources from 2020 to 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-09-12 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.908171.1 [access date]
Methods and Sampling: Locations: Gulf of Mexico Estuary near Port Aransas, Texas. FAML: pier at in Corpus Christi Channel, Port Aransas, TX, United States, Fisheries and Mariculture Laboratory of the University of Texas Marine Science Institute (lat. 27.8396111, lon. -97.0827222); MI: Mud Island in Aransas Bay, TX, United States (lat. 27.9362222, lon. -97.0217777)).
Methods and Sampling:
Carbon and Nitrogen stable isotope values were measured for samples of fish eggs, marine animals, and basal resources collected from the field as well as eggs, commercial fish food, Otohime (EP1, Reed Mariculture, Inc. and Artemia sp. nauplii (enriched with Alga-Mac 3050; Aquafauna Bio-Marine, Inc.) used in laboratory experiments.
Plankton net (500-µm mesh) samples were sorted immediately after collection (live material). Samples of jellyfish were collected using dip net. Animals were transferred to holding tanks to evacuate their guts for 4-5 hours. Fish were collected using cast net and seines. Fishes were immediately euthanized with lethal dose of MS-222. The euthanized fish were placed on ice and a fillet of dorsal white muscle tissue and liver were collected. Each sample was rinsed twice in distilled water and frozen at -80°C for subsequent analysis.
Basal resources were collected by pumping seawater from the Aransas Pass Channel adjacent to the University of Texas Marine Science Institute’s Fisheries and Mariculture Laboratory and filtering the seawater through sieves of five different mesh sizes to obtain five size fractions of plankton samples (i.e., 38-63 µm, 63-100 µm, 100-150 µm, 150-250 µm and 250-500 µm). Bottom sediment was collected with a dredge sampler. Those samples were passed through sieves of five different mesh sizes to obtain five size fractions mentioned above. The time between collection and analysis ranged from 2 months to a year.
For stable isotope analysis, each sample was lyophilized, homogenized, and weighed. A subsample of the lyophilized and homogenized tissue was analyzed for bulk stable carbon and nitrogen isotope ratios by mass spectrometry. Analyses of size-fractioned plankton samples were run separately for carbon and for nitrogen stable isotopes. The plankton samples and bottom sediments for carbon stable isotope analysis were acidified to remove carbonates. The nitrogen stable isotope analysis values of acidified samples were not significantly different from non-acidified samples of plankton and bottom sediment. Hence, the nitrogen stable isotope values of acidified samples were reported. Samples of eggs, commercial feed, and animals were not acidified. Isotope analysis produced δ13C and δ15N values as well as percent carbon and percent nitrogen in the sample.
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2023618 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2023618
completed
Lee A. Fuiman
University of Texas - Marine Science Institute
361-749-6795
University of Texas Marine Science Institute 750 Channel View Drive
Port Aransas
TX
78373
lee.fuiman@utexas.edu
pointOfContact
Parvathi Nair
University of Texas - Marine Science Institute
361-749-6795
University of Texas Marine Science Institute 750 Channel View Drive
Port Aransas
TX
78373
parvathinair@utexas.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Taxon
Common_name
Sample_ID
Classification
Weight
Date_collected
Site
Length
Notes
Primary_check
d13C
percent_C
d15N
percent_N
ThermoFisher Scientific EA-Isolink CNSOH element analyzer.
ThermoFisher Scientific Delta V isotope ratio mass spectrometer (IRMS)
theme
None, User defined
taxon
common_name
sample identification
sample description
dry_wgt_globec
date
site
length
comments
quality flag
d13C
Elemental carbon (C)
d15N
Nitrogen
featureType
BCO-DMO Standard Parameters
Elemental Analyzer
Isotope-ratio Mass Spectrometer
instrument
BCO-DMO Standard Instruments
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.
Counter-gradient Flow of Fatty Acids in Marine Food Webs Through Egg Boons
https://osprey.bco-dmo.org/project/817943
Counter-gradient Flow of Fatty Acids in Marine Food Webs Through Egg Boons
<p><strong>NSF Award Abstract:</strong><br />
<span style="font-size:14px"><span style="background-color:rgb(255, 255, 255)">Marine animals release extremely large numbers of eggs when they spawn. Most of these eggs are eaten by animals ranging from microscopic plankton to fish. Many egg consumers are smaller than the animals that released the eggs, representing a reversal of the usual food web. The consumption of eggs provides animals with highly nutritious molecules called essential fatty acids which are very concentrated in eggs. These essential fatty acids are important for the health of animals and the health of the whole ecosystem. When marine fishes form spawning aggregations to coordinate the timing and location of spawning, they release trillions of eggs. This results in an "egg boon" an immense but temporary concentration of highly nutritious fatty acids. This project combines field-based sampling with laboratory experiments to assess how fatty acids in the egg boons affect food webs. The project is determining whether consumption of eggs is beneficial to the condition of the egg consumers. New findings from this project are advancing the understanding of aquatic food webs and contributing to improved management of marine resources. For example, commercial harvest of fish can remove tons of fatty acids from an ecosystem by reducing egg boons and leading to cascading and unforeseen effects on those biological communities. The project is fostering the participation of women in science by substantially advancing the professional training of a female postdoctoral fellow. The project is supporting K-12 STEM education through inquiry-based and place-based programs for teachers and youth. Findings are being communicated to the public locally and nationally through participation in public lectures and contributions to the Science and the SeaTM radio program, podcast, and website.</span></span></p>
<p><span style="background-color:rgb(255, 255, 255)">Super-abundances of eggs released in temporally and spatially discrete patches create pulsed nutritional resources for egg consumers, called "egg boons", which are potentially important components of marine food webs. While various marine animals have been shown to consume eggs, the role of egg boons in energy transfer through food webs has received little attention. Three hypotheses are being tested: 1) egg boons provide a pathway through which essential fatty acids (EFAs) are redistributed counter to the main direction of trophic flow; 2) stores of EFAs in egg consumers increase during egg boons and remain elevated after the spawning season; and 3) egg boons are beneficial to the condition of egg consumers. The proposed research takes advantage of an annual egg boon produced by a spawning aggregation of the marine fish, red drum (Sciaenops ocellatus) near Port Aransas, Texas. In a combination of field sampling and laboratory experiments, fatty acid profiles, lipid content, and bulk stable isotope ratios are measures used to define trophic links between the egg boon and a selection of lower-trophic-level taxa. Egg boons are simulated in laboratory feeding experiments that are designed to enhance interpretation of data collected from field based sampling by comparing taxa that consume fish eggs with those that do not. A nucleic acid biomarker (RNA/DNA ratios) is being used to assess changes in condition that can be attributed to egg consumption in target taxa. In the environment, the importance and persistence of counter-gradient flow of fatty acids in the food web is being gauged through comparisons of samples taken inside and outside the spatial and temporal extent of the egg boon. The effects of egg consumption on consumers is being quantified in controlled experiments to identify dietary biomarkers of egg consumption in consumer tissues that can be applied to field samples. The proposed research examines how egg consumption redistributes EFAs within food webs and provides a context for considering potential controls and trophic bottlenecks that cannot be explained from the traditional element-limitation models. The integration of fatty acid and stable isotope approaches is expected to provide greater resolution for tracking organic matter through food webs and to advance the application of multi-tracer techniques in trophic investigations. Further, if egg boons are indeed an important nutritional subsidy to select groups of consumers, then subsequent studies investigating the energetic contribution of egg boons to secondary production in marine food webs are warranted. An analysis of how reduction or removal of egg resources through the harvest of fishes in spawning aggregations changes nutrient flow in food webs could have implications for ecosystem-based fisheries management.</span></p>
Egg Boon Food Webs
largerWorkCitation
project
eng; USA
oceans
-97.0827222
-97.0217777
27.8396111
27.9362222
2020-07-01
2023-07-31
Gulf of Mexico estuary at Port Aransas, Texas
0
BCO-DMO catalogue of parameters from Carbon and Nitrogen stable isotope measurements for various marine samples collected from the Gulf of Mexico as well as eggs, animals, and food sources collected in the laboratory and commercial sources from 2020 to 2022.
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/908328.rdf
Name: Taxon
Units: unitless
Description: <p>Taxonomic grouping of sample, or category. May include lifestage or source of sample (examples: "Sciaenops ocellatus lab eggs","Otohime","Bottom sediment")</p>
http://lod.bco-dmo.org/id/dataset-parameter/908329.rdf
Name: Common_name
Units: unitless
Description: <p>Common name of sample, or source of sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/908330.rdf
Name: Sample_ID
Units: unitless
Description: <p>Sample identifier for a taxon on a sampling date</p>
http://lod.bco-dmo.org/id/dataset-parameter/908331.rdf
Name: Classification
Units: unitless
Description: <p>Broader taxonomic group (or category) to which sample belongs (examples: "Benthic","</p>
http://lod.bco-dmo.org/id/dataset-parameter/908332.rdf
Name: Weight
Units: milligrams (mg)
Description: <p>Sample dry weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/908333.rdf
Name: Date_collected
Units: unitless
Description: <p>Date sample was collected in ISO format</p>
http://lod.bco-dmo.org/id/dataset-parameter/908334.rdf
Name: Site
Units: unitless
Description: <p>Location where sample was collected (FAML: pier at in Corpus Christi Channel, Port Aransas, TX, United States, Fisheries and Mariculture Laboratory of the University of Texas Marine Science Institute (lat. 27.8396111, lon. -97.0827222); MI: Mud Island in Aransas Bay, TX, United States (lat. 27.9362222, lon. -97.0217777); TPWD: produced by captive adults at Texas Parks and Wildlife Department, Marine Development Center, Corpus Christi, TX, United States (lat. 27.646877, lon. -97.0217777))</p>
http://lod.bco-dmo.org/id/dataset-parameter/908335.rdf
Name: Length
Units: centimeters (cm)
Description: <p>Bell diameter for cnidarians; total length for fish; carapace length for crabs</p>
http://lod.bco-dmo.org/id/dataset-parameter/908336.rdf
Name: Notes
Units: unitless
Description: <p>Notes about sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/908337.rdf
Name: Primary_check
Units: unitless
Description: <p>Primary QC check (1 = Perfectly fine, 2 = Data not evaluated because of too few data points for quality control check)</p>
http://lod.bco-dmo.org/id/dataset-parameter/908338.rdf
Name: d13C
Units: per mil
Description: <p>Stable isotope of carbon; values in permil or parts per thousand</p>
http://lod.bco-dmo.org/id/dataset-parameter/908339.rdf
Name: percent_C
Units: percentage
Description: <p>Percent carbon in the sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/908340.rdf
Name: d15N
Units: per mil
Description: <p>Stable isotope of nitrogen; values in permil or parts per thousand</p>
http://lod.bco-dmo.org/id/dataset-parameter/908341.rdf
Name: percent_N
Units: percentage
Description: <p>Percent nitrogen in the sample</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
136197
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/937bc46b-cfea-4a1f-b1a2-7d7338dcee1f/content
download
https://doi.org/10.26008/1912/bco-dmo.908171.1
download
onLine
dataset
Locations: Gulf of Mexico Estuary near Port Aransas, Texas. FAML: pier at in Corpus Christi Channel, Port Aransas, TX, United States, Fisheries and Mariculture Laboratory of the University of Texas Marine Science Institute (lat. 27.8396111, lon. -97.0827222); MI: Mud Island in Aransas Bay, TX, United States (lat. 27.9362222, lon. -97.0217777)).
Methods and Sampling:
Carbon and Nitrogen stable isotope values were measured for samples of fish eggs, marine animals, and basal resources collected from the field as well as eggs, commercial fish food, Otohime (EP1, Reed Mariculture, Inc. and Artemia sp. nauplii (enriched with Alga-Mac 3050; Aquafauna Bio-Marine, Inc.) used in laboratory experiments.
Plankton net (500-µm mesh) samples were sorted immediately after collection (live material). Samples of jellyfish were collected using dip net. Animals were transferred to holding tanks to evacuate their guts for 4-5 hours. Fish were collected using cast net and seines. Fishes were immediately euthanized with lethal dose of MS-222. The euthanized fish were placed on ice and a fillet of dorsal white muscle tissue and liver were collected. Each sample was rinsed twice in distilled water and frozen at -80°C for subsequent analysis.
Basal resources were collected by pumping seawater from the Aransas Pass Channel adjacent to the University of Texas Marine Science Institute’s Fisheries and Mariculture Laboratory and filtering the seawater through sieves of five different mesh sizes to obtain five size fractions of plankton samples (i.e., 38-63 µm, 63-100 µm, 100-150 µm, 150-250 µm and 250-500 µm). Bottom sediment was collected with a dredge sampler. Those samples were passed through sieves of five different mesh sizes to obtain five size fractions mentioned above. The time between collection and analysis ranged from 2 months to a year.
For stable isotope analysis, each sample was lyophilized, homogenized, and weighed. A subsample of the lyophilized and homogenized tissue was analyzed for bulk stable carbon and nitrogen isotope ratios by mass spectrometry. Analyses of size-fractioned plankton samples were run separately for carbon and for nitrogen stable isotopes. The plankton samples and bottom sediments for carbon stable isotope analysis were acidified to remove carbonates. The nitrogen stable isotope analysis values of acidified samples were not significantly different from non-acidified samples of plankton and bottom sediment. Hence, the nitrogen stable isotope values of acidified samples were reported. Samples of eggs, commercial feed, and animals were not acidified. Isotope analysis produced δ13C and δ15N values as well as percent carbon and percent nitrogen in the sample.
Specified by the Principal Investigator(s)
<p><span style="font-size:13px">ISODAT software (version 3.0) was used to collect the isotope trace chromatography and calculate raw isotopic ratios. Isotope results are presented using the conventional δ-notation:</span></p>
<div>&nbsp;</div>
<div><span style="font-size:13px">δ13C (or δ15N)&nbsp; = [(Rsample/Rstandard)-1] (in ‰)</span></div>
<div>&nbsp;</div>
<div><span style="font-size:13px">where, Rsample and Rstandard = 13C/12C (or 15N/14N). All δ-values are reported relative to VPDB for carbon and AIR for nitrogen, unless otherwise stated (Coplen, 1996). A two-point calibration of δ13C to VPDB and to δ15N to AIR was achieved using USGS-40 (−26.39‰, −4.52‰) and USGS-41a (+36.55‰, +47.55‰), respectively. Internal laboratory standards; casein (protein), was used to evaluate the carbon and nitrogen accuracy and precision during analytical sessions. Overall, carbon and nitrogen isotope results had a standard deviation of less than 0.2‰.</span><br />
&nbsp;
<div><span style="font-size:13px">Quality control procedure </span></div>
<div>&nbsp;</div>
<div><span style="font-size:13px">Individual samples for which the means were greater than 4 standard deviations from the taxon mean were removed from the data set. </span></div>
<div><span style="font-size:13px">A primary check value was assigned as follows: </span></div>
<div><span style="font-size:13px">1 Perfectly fine</span></div>
<div><span style="font-size:13px">2 Data not evaluated because of too few data points for quality control check</span></div>
</div>
Specified by the Principal Investigator(s)
BCO-DMO Data Manager Processing Notes:
* Sheet 1 of file "Stable isotope 2020-2022.xlsx" from the online submission system was imported into the BCO-DMO data system with values "NA" as missing data values.
** Missing data values are displayed differently based on the file format you download. They are blank in csv files, "NaN" in MatLab files, etc.
* Column names adjusted to conform to BCO-DMO naming conventions designed to support broad re-use by a variety of research tools and scripting languages. [Only numbers, letters, and underscores. Can not start with a number]
* Date format changed to ISO 8601 format
* Taxon name and associated LSID for names in this dataset as of 2023-06-23 (source: World Register of Marine Species). Added supplemental file with taxon ids and match information including if the name used in the dataset was the accepted or unaccepted synonym and if unaccepted also included the currently accepted synonym at time of match.
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
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
ThermoFisher Scientific EA-Isolink CNSOH element analyzer.
ThermoFisher Scientific EA-Isolink CNSOH element analyzer.
PI Supplied Instrument Name: ThermoFisher Scientific EA-Isolink CNSOH element analyzer. PI Supplied Instrument Description:ThermoFisher Scientific Delta V isotope ratio mass spectrometer (IRMS) coupled to a ThermoFisher Scientific EA-Isolink CNSOH element analyzer. Instrument Name: Elemental Analyzer Instrument Short Name: 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. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB01/
ThermoFisher Scientific Delta V isotope ratio mass spectrometer (IRMS)
ThermoFisher Scientific Delta V isotope ratio mass spectrometer (IRMS)
PI Supplied Instrument Name: ThermoFisher Scientific Delta V isotope ratio mass spectrometer (IRMS) PI Supplied Instrument Description:ThermoFisher Scientific Delta V isotope ratio mass spectrometer (IRMS) coupled to a ThermoFisher Scientific EA-Isolink CNSOH element analyzer. Instrument Name: Isotope-ratio Mass Spectrometer Instrument Short Name:IR Mass Spec; IRMS 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). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB16/