Stable isotope analyses, mercury measurements, and capture data from two Lake Erie fish species collected from June to October 2019 for Project Breathless

Website: https://www.bco-dmo.org/dataset/982348
Data Type: Other Field Results
Version: 1
Version Date: 2025-08-12

Project
» Collaborative Research: Shifting the Hypoxia Paradigm – New Directions to Explore the Spread and Impacts of Ocean/Great Lakes Deoxygenation (HypoxiDigm / Project Breathless)
ContributorsAffiliationRole
Limburg, KarinState University of New York College of Environmental Science and Forestry (SUNY ESF)Principal Investigator
Razavi, RoxanneState University of New York College of Environmental Science and Forestry (SUNY ESF)Co-Principal Investigator
Duskey, ElizabethState University of New York College of Environmental Science and Forestry (SUNY ESF)Scientist
Miraly, HadisState University of New York College of Environmental Science and Forestry (SUNY ESF)Student
Gorman, Ann MarieOhio Department of Natural Resources (ODNR)Contact
Kraus, RichardUnited States Geological Survey (USGS)Contact
Gerlach, Dana StuartWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This dataset summarizes capture data and basic biological information, plus stable isotopic ratios and total mercury data collected from muscle tissue and eye lenses of Lake Erie fishes in 2019. Lake Erie in the Laurentian Great Lakes is one of the study systems for Project Breathless. The Central Basin is chronically hypoxic, whereas the Western Basin is largely normoxic. We have been studying round goby (Neogobius melanostomus), a bottom-dwelling (benthic) fish species, and yellow perch (Perca flavescens), a demersal (low water column) species).


Coverage

Location: Lake Erie central and western basins
Spatial Extent: N:42.00286 E:-80.58483 S:41.47523 W:-83.2636
Temporal Extent: 2019-06-08 - 2019-10-19

Dataset Description

This dataset is part of Project Breathless, which brings together an interdisciplinary team of ecologists, economists and communication scholars to increase understanding of the impact of low oxygen dead zones in lakes and oceans.  The project team focuses on how low oxygen conditions influence fish, their habitats and the food webs that support them, as well as ecosystem services, including fisheries production.

This dataset is one of three examining Lake Erie fishes using data collected during routine surveys for monitoring the status of fish stocks:

  • Dataset 982348 (this dataset of stables isotopes and mercury) summarizes capture data as well as basic biological information; it also includes all stable isotopic ratio and total mercury data collected from muscle tissue and eye lenses. 
  • Dataset 982372 (Lake Erie fishes otolith chemistry) contains all of the Lake Erie fish (round goby and yellow perch) otolith chemistry data.
  • Dataset 982386 (Lake Erie fishes eye lens chemistry) contains all of the eye lens chemistry data for round goby and yellow perch.

(See Related Datasets section below for links)


Methods & Sampling

Fish sampling, basic biological data, and tissues collection 

Fish samples were provided from routine monitoring surveys by the Ohio Department of Natural Resources (Fairport Harbor, OH) and by the USGS Lake Erie Biological Station (Sandusky, OH). Dates and locations of trawling are provided. Fish were caught by trawl or by gillnet sets. Fish were frozen for later processing.

In the lab, fish were measured (length, weight); sex was determined if possible. Otoliths and eye lenses were removed, cleaned, and stored dry until workup. Samples of dorsal muscle tissue were collected (away from the skin) for mercury and stable isotope analysis and were dried to constant weight, then freeze-dried.

Total mercury and stable isotopes in muscle tissues; stable isotopes in eye lenses

Total mercury analyses were conducted using atomic absorption spectrophotometry on a Milestone DMA-80 tri-cell unit (Milestone Srl, Italy). Briefly, the method involves thermal decomposition of a sample, amalgamation of mercury, and absorbance of mercury using a spectrophotometer.  Quality assurance and quality control followed EPA Method 7473, including daily calibration checks, the use of blanks, certified reference materials, and matrix spike/matrix spike duplicates. Sample duplicates were analyzed on a minimum of 20% of samples. Muscle tissues were analyzed with this method typically using 40 mg of tissue.

Stable isotopic ratio analyses for carbon (C), nitrogen (N), and sometimes sulfur (S) were conducted by either the Stable Isotope Facility at the University of California at Davis or at the Cornell University Isotope Laboratory. Both facilities routinely analyze solid samples, such as ours, using elemental analyzers on the front end of isotope ratio mass spectrometers (EA-IRMS). Light stable isotopes of C and N were analyzed at UC Davis with PDZ Europa ANCA-GSL elemental analyzer interfaced to a PDZ Europa 20-20 isotope ratio mass spectrometer (Sercon Ltd., Cheshire, UK). At Cornell, a Thermo Delta V isotope ratio mass spectrometer (IRMS) is interfaced to a NC2500 elemental analyzer (EA). Sulfur isotopes were analyzed separately on the same mass spectrometer at Cornell. Delta values are expressed relative to Vienna Pee Dee Belemnite (for carbon), air (for nitrogen), and Vienna Canyon Diablo Troilite (for sulfur) standards. Muscle tissues were analyzed for all three light isotopic ratios. In addition, sulfur stable isotopic ratios were analyzed for round goby using one entire lens. For yellow perch, the outer (most recently deposited) layer was analyzed for a subset of Central Basin yellow perch, and all but one Western Basin yellow perch

(For otolith chemistry and fish eye lens chemistry results, see Related Datasets section below.)
 


Data Processing Description

Results data on total mercury and C, N, and S stable isotopes were received as-is from outside labs, with no further processing.


BCO-DMO Processing Description

- Imported data from source file "FILENAME.csv" into the BCO-DMO data system. loaded ...
- Modified parameter (column) names to conform with BCO-DMO naming conventions. The only allowed characters are A-Z,a-z,0-9, and underscores. No spaces, hyphens, commas, parentheses, or Greek letters.
- Combined month, day, year column values into a single date column (where possible)
- Added comments column for lab notes from the original file


Problem Description

The workflow was slowed down considerably by the Covid-19 pandemic. The LA-ICP-MS system was turned off for four months at the beginning of the outbreak, and it was difficult to get it running smoothly for a while. However, after that it ran well, with periodic service or preventive maintenance calls. Quality flags consisted of running standards and monitoring RSD values, as well as calculating limits of detection.

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Related Publications

Miraly, H., Razavi, N. R., Vogl, A. A., Kraus, R. T., Gorman, A. M., & Limburg, K. E. (2022). Tracking Fish Lifetime Exposure to Mercury Using Eye Lenses. Environmental Science & Technology Letters, 10(3), 222–227. https://doi.org/10.1021/acs.estlett.2c00755
Results
U.S. EPA (2007) EPA Method 7473 (SW-846): Mercury in Solids and Solutions by Thermal Decomposition, Amalgamation, and Atomic Absorption Spectrophotometry. https://www.epa.gov/sites/default/files/2015-07/documents/epa-7473.pdf
Methods

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Related Datasets

IsRelatedTo
Limburg, K., Razavi, R., Miraly, H., Duskey, E., Kraus, R., Gorman, A. (2025) Eye lens chemistry of Lake Erie fishes (goby and perch) collected June to October 2019 for Project Breathless. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-08-12 http://lod.bco-dmo.org/id/dataset/982386 [view at BCO-DMO]
Limburg, K., Razavi, R., Miraly, H., Duskey, E., Kraus, R., Gorman, A. (2025) Otolith chemistry of Lake Erie fishes (goby and perch) collected June to October 2019 for Project Breathless. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-08-12 http://lod.bco-dmo.org/id/dataset/982372 [view at BCO-DMO]

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Parameters

ParameterDescriptionUnits
Fish_ID

Unique fish sample identification

unitless
CRN

Cruise number for the collecting trip, either Ohio Dept of Natural Resources (OHDNR) or the US Geological Survey (USGS)

unitless
Basin

Indicates which basin in Lake Erie was sampled (Central Basin or Western Basin)

unitless
Species

Scientific name of the collected fish

unitless
Lake_Erie_Sampling_Grid

Number for the sample location based on the sampling grid laid out by New York, Pennsylvania, and Ohio fisheries agencies

unitless
Latitude_Start

Latitudinal start of trawl

decimal degrees
Longitude_Start

Longituinal start of trawl

decimal degrees
Latitude_End

Latitudinal end of trawl

decimal degrees
Longitude_End

Longituinal end of trawl

decimal degrees
Total_Length

Fish total length in millimeters

millimeters (mm)
Weight

Fresh weight in grams

grams (g)
Sex

Sex designation of the fish

unitless
Age

Fish age in years, determined by counting otolith bands

years
Month

Month of collection

unitless
Day

Day within month of collection

unitless
Year

Year of collection

unitless
Date_Collection

Date of collection (when month, day, year all known)

unitless
Agency_ID

Fish ID for OH-DNR or USGS

unitless
Muscle_d13C_VPDB

Stable isotopic ratio of carbon (delta13C) in fish muscle tissue compared to Vienna Pee Dee Belemnite standard

per mille (‰)
Muscle_d15N_Air

Stable isotopic ratio of nitrogen (delta15N) in fish muscle tissue compared to Air standard

per mille (‰)
Muscle_d34S_VCDT

Sulfur isotopic ratio (delta34S) of fish muscle tissue compared to Vienna Canyon Diablo Triolite standard

per mille (‰)
Eye_Lens_d13C_VPDB

Stable isotopic ratio of carbon (delta13C) of fish eye lens (whole lens for N. melanostomus, outer layer for P. flavescens ) compared to Vienna Pee Dee Belemnite standard;

per mille (‰)
Eye_Lens_d15N_Air

Stable isotopic ratio of nitrogen (delta 15N) of fish eye lens (whole lens for N. melanostomus, outer layer for P. flavescens) compared to Air standard

per mille (‰)
Eye_lens_d34S_VCDT

Sulfur isotopic ratio (delta 34S) of fish eye lens (whole lens for N. melanostomus, outer layer for P. flavescens) compared to Vienna Canyon Diablo Triolite standard

per mille (‰)
Total_Hg_muscle

Total mercury in fish muscle tissue

nanograms per gram dry weight (ng/g)
Comments

Laboratory and analysis comments

unitless


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Instruments

Dataset-specific Instrument Name
NC2500 Elemental Analyzer
Generic Instrument Name
Carlo Erba NC 2500 elemental analyzer
Dataset-specific Description
At Cornell, an isotope ratio mass spectrometer was interfaced to a NC2500 elemental analyzer (EA). 
Generic Instrument Description
A laboratory instrument that simultaneously determines total nitrogen, total hydrogen, and total carbon in a solid sample. The sample is completely and instantaneously oxidized by flash combustion, which converts all organic and inorganic substances into combustion products. The resulting combustion gases pass through a reduction furnace and are swept into the chromatographic column by the helium carrier gas. The gases are separated in the column and quantified or they can be introduced into another instrument, such as an isotope ratio mass spectrometer, for further analysis. The instrument was originally manufactured by CE instruments (formerly Carlo Erba) and has since been replaced by Thermo Scientific (part of Thermo Fisher Scientific). This model is no longer in production.

Dataset-specific Instrument Name
Milestone DMA-80 tri-cell unit atomic absorption spectrophotometer
Generic Instrument Name
Milestone Direct Mercury Analyzer
Dataset-specific Description
Mercury analyses of tissues were made with a Milestone DMA-80 tri-cell unit atomic absorption spectrophotometer.
Generic Instrument Description
The Milestone DMA-80 is a mercury analyzer used to determine mercury concentrations in liquid and solid samples. The DMA-80 is based on the principles of sample thermal decomposition, mercury amalgamation, and atomic absorption detection. See more: https://milestonesci.com/direct-mercury-analyzer/

Dataset-specific Instrument Name
PDZ Europa 20-20 isotope ratio mass spectrometer
Generic Instrument Name
PDZ Europa 20-20 isotope ratio mass spectrometer
Dataset-specific Description
Light stable isotopes of C and N were analyzed at UC Davis with elemental analyzer interfaced to a PDZ Europa 20-20 isotope ratio mass spectrometer (Sercon Ltd., Cheshire, UK).
Generic Instrument Description
The PDZ Europa 20-20 is a dedicated continuous flow isotope ratio mass spectrometer for hyphenated stable isotope analyses able to measure 15N, 13C, 18O, and 34S in a host of applications. The analyzer has been purposely designed to measure 2H by continuous flow methodology and is also suitable to analyze the light stable isotopes in all the commonly measured gases: H2, N2, NO, N2O, O2, CO, CO2, SO, and SO2.

Dataset-specific Instrument Name
PDZ Europa ANCA-GSL elemental analyzer
Generic Instrument Name
PDZ Europa ANCA-GSL elemental analyzer
Dataset-specific Description
Light stable isotopes of C and N were analyzed at UC Davis with PDZ Europa ANCA-GSL elemental analyzer interfaced to an isotope ratio mass spectrometer.
Generic Instrument Description
The ANCA-GSL module allows samples such as soil, viscous liquids, plant material, and organic compounds, to be analyzed directly by using Dumas combustion for 15N, 13C, and 34S or pyrolysis for 18O and D. It also allows isotope analysis of abundant gases from septum sealed containers. During combustion mode, a capsule containing the sample falls into the combustion tube and is converted in the presence of oxygen to CO2, N2, NOx, and H2O. An elemental copper stage reduces NOx, a MgClO4 trap removes water vapor, a switchable Carbosorb trap can be used to remove CO2 (for 15N only analyses) and a GC column separates CO2 from N2 (allowing dual isotope analysis). Modified packings, a Nafion dryer and different GC column allow 34S analysis. The sample preparation unit consists of a 66-place autosampler for unattended operation (larger options are available), 2 furnaces able to operate to 1100 deg C, and an on-board microprocessor. The analyzer is capable of dual isotope analysis of 15N and 13C. For CO (18O), H2 (2H), N2 (15N), CO2 (13C), CO2 (18O), and SO2 (34S) with precisions between 0.1 and 3 dependent on the element.

Dataset-specific Instrument Name
Thermo Delta V isotope ratio mass spectrometer (IRMS)
Generic Instrument Name
Thermo Fisher Scientific DELTA V Advantage isotope ratio mass spectrometer
Dataset-specific Description
At Cornell, a Thermo Delta V isotope ratio mass spectrometer (IRMS) is interfaced to an elemental analyzer. 
Generic Instrument Description
The Thermo Scientific DELTA V Advantage is an isotope ratio mass spectrometer designed to measure isotopic, elemental, and molecular ratios of organic and inorganic compounds. The DELTA V Advantage is the standard model of the DELTA V series of isotope ratio mass spectrometers, which can be upgraded to the DELTA V Plus. The DELTA V Advantage can be operated in Continuous Flow or Dual Inlet mode. The standard collector configuration is the Universal Triple Collector. H2 collectors with online hydrogen capability are optional. The DELTA V Advantage is controlled by an automated, integrated Isodat software suite. A magnet, whose pole faces determine the free flight space for the ions, eliminates the traditional flight tube. The magnet is designed for fast mass switching which is further supported by a fast jump control between consecutive measurements of multiple gases within one run. The sample gas is introduced at ground potential, eliminating the need for insulation of the flow path, ensuring 100 percent transfer into the ion source. The amplifiers register ion beams up to 50 V. The DELTA V Advantage has a sensitivity of 1200 molecules per ion (M/I) in Dual Inlet mode and 1500 M/I in Continuous Flow mode. It has a system stability of < 10 ppm and an effective magnetic detection radius of 191 nm. It has a mass range of 1 - 80 Dalton at 3 kV.


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Project Information

Collaborative Research: Shifting the Hypoxia Paradigm – New Directions to Explore the Spread and Impacts of Ocean/Great Lakes Deoxygenation (HypoxiDigm / Project Breathless)

Coverage: Central Baltic Sea; Lake Erie; and Lavaca Bay, Texas


NSF Award Abstract:
Ocean oxygen loss (deoxygenation) is increasing due to climate warming. This warming, together with nutrient loading, is causing many marine and freshwater systems to experience increasing episodes of hypoxia (low oxygen) of greater duration and intensity. Impacts on fish and fisheries have been difficult to quantify; direct observation has been challenged by a lack of long-term exposure indicators. This team has successfully refined the use of fish chemical biomarkers in fish otoliths (earstones) to directly assess lifetime hypoxia exposure in fishes. This project will those findings to look for additional biomarkers and models, to expand our understanding of how hypoxia affects fish and their food webs, contaminant transfers, and ecosystem services including economic impacts. The project includes a unique way of training students in science communication, posing the question: What forms of media and "messaging strategies" about deoxygenation are most effective at raising public awareness and understanding? Students are developing entries for PlanetForward's Storyfest, which is a contest to tell compelling stories to foster environmental understanding and solutions. Students from historically underrepresented, economically disadvantaged backgrounds are particularly sought out to participate. The investigators will engage with regional, national, and international management agencies and other relevant stakeholder groups to share information.

This project encompasses a novel, linked set of interdisciplinary studies of food webs, and ecosystem services assessment. The thematic questions explored in this project are: 1. How does hypoxia alter habitat use for fishes? 2. How does hypoxia-altered habitat use and habitat productivity change food webs? 3. How does hypoxia affect/enhance trophic transfer of methylmercury? 4. How do hypoxia-induced changes in food webs affect aquatic ecosystem services? The set of linked studies will employ chemical analyses of otoliths and eye lenses, combined with chemical analyses of muscle tissues (Questions 1 and 3), physiologically-structured food web modeling informed by monitoring time-series (Questions 2 and 4), and a scoping workshop to address ecosystem services (Question 4). The investigators are using a "trans-basin" comparative approach to system-specific responses, studying fishes in Lake Erie, the Baltic Sea, and a Gulf of Mexico estuary. They study three species from each system that represent different degrees of benthic reliance, to discern differential responses to the increasingly hypoxic environment. This research provides novel insight about variable biotic responses to oxygen loss and the impacts on ecosystem functioning.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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