| Contributors | Affiliation | Role |
|---|---|---|
| Limburg, Karin | State University of New York College of Environmental Science and Forestry (SUNY ESF) | Principal Investigator |
| Razavi, Roxanne | State University of New York College of Environmental Science and Forestry (SUNY ESF) | Co-Principal Investigator |
| Duskey, Elizabeth | State University of New York College of Environmental Science and Forestry (SUNY ESF) | Scientist |
| Miraly, Hadis | State University of New York College of Environmental Science and Forestry (SUNY ESF) | Student |
| Gorman, Ann Marie | Ohio Department of Natural Resources (ODNR) | Contact |
| Kraus, Richard | United States Geological Survey (USGS) | Contact |
| Gerlach, Dana Stuart | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
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:
(See Related Datasets section below for links)
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.
Otolith preparation and analysis (Lake Erie_2 dataset).
Otoliths were embedded in clean epoxy (Struers EpoFix), then sectioned to expose the core and polished. Trace elemental concentrations were quantified via laser ablation inductively coupled plasma mass spectrometry (LA-ICPMS) at SUNY ESF. The surfaces of transversely sectioned otoliths were ablated by a 193 nm Teledyne CETAC Analyte Excite Excimer Laser Ablation System which was coupled to a Thermo iCAP TQ ICPMS instrument. by running a laser ablation transect across the polished sections from one edge to the other; the ablated material was swept via a helium carrier gas into an argon plasma, which ionized the material that was subsequently counted by a mass spectrometer in single-quadrupole mode. Samples were sectioned and polished to expose the interior cores; analyses were made by running the laser across the surface from one edge, through the core, and out the other side.
Otolith transects were typically made with an 85-micron circular spot size, driven at a rate of 4 microns/second, fluence set to 1.8 J/cm2, and a laser repetition rate of 10 Hz. Materials-appropriate standards (for otoliths MACS3 carbonate and MAPS4 phosphate standards from the USGS) were run at the start and end of the run, and then periodically during each analysis day to calibrate and correct for instrument drift.
The analytes collected were 12 trace elements (B, Mg, P, Ca, Mn, Fe, Cu, Zn, Br, Sr, I, and Ba). Results in this dataset are in units of parts per million (ppm). Note that some outliers are included, but most outliers exceeding 2 standard deviations were removed and values were interpolated from adjacent replicates. In addition, calibrations seem elevated, judging from the calcium values which should be closer to 380,000-40,000 ppm. However, if a user expresses other trace elements in ratio to calcium, these are robust values.
ICP-MS data files containing counts per second of each trace element were produced; each transect analysis had its own data file, but they have been concatenated here for archiving.
(For fish eye lens chemistry, total mercury analyses, and stable isotopic ratio analyses, see the Related Datasets section below.)
Otolith and eye lens trace elemental data were processed in Excel files. Calibrations made over the course of the day were fit to plots of the calibrants as a function of time to produce drift corrections. Processing of the raw data included removal of spurious spikes (> 2 SD) and subsequent interpolation. Raw data were then calibrated and drift-corrected simultaneously, to produce data as parts per million.
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| Parameter | Description | Units |
| Fish_ID | Unique fish sample identification | unitless |
| Species | Scientific name of the collected fish | unitless |
| Water_Body | Water body of sampling | 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 |
| 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_mid | Latitude for the midpoint of the trawl survey | decimal degrees |
| Longitude_mid | Longitude of trawl (either start or midpoint) | decimal degrees |
| Year | Year of collection | year |
| Capture_Qtr | Quarter of the year when sampling took place | unitless |
| Date_Collection | Date of collection | unitless |
| Date_Analyzed | Date of chemical analysis by LA-ICP-MS | unitless |
| Distance_from_core | Distance of datum from the otolith core | micrometers (um) |
| B | Boron concentration | parts per million (ppm) |
| Mg | Magnesium concentration | parts per million (ppm) |
| P | Phosphorus concentration | parts per million (ppm) |
| Ca | Calcium concentration | parts per million (ppm) |
| Mn | Manganese concentration | parts per million (ppm) |
| Fe | Iron concentration | parts per million (ppm) |
| Cu | Copper concentration | parts per million (ppm) |
| Zn | Zinc concentration | parts per million (ppm) |
| Br | Bromine concentration | parts per million (ppm) |
| Sr | Strontium concentration | parts per million (ppm) |
| I | Iodine concentration | parts per million (ppm) |
| Ba | Barium concentration | parts per million (ppm) |
| Agency_ID | Fish ID for OH-DNR or USGS | unitless |
| 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. |
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.
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |