Contributors | Affiliation | Role |
---|---|---|
Dick, Gregory J. | University of Michigan | Principal Investigator, Contact |
Cory, Rose | University of Michigan | Co-Principal Investigator, Contact |
Kling, George | University of Michigan | Co-Principal Investigator |
Smith, Derek | University of Michigan | Student |
Merchant, Lynne M. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Water samples were collected in the western basin of Lake Erie during the summer and fall of 2017, 2018, and 2019. In 2017, water was collected approximately weekly from NOAA station WE2 in conjunction with the NOAA Great Lakes Environmental Research Lab (GLERL) harmful algal bloom monitoring program. During August and October 2017, lake water was also collected by Environment and Climate Change Canada’s monitoring program. In 2018 and 2019, lake water was collected at several stages of bloom development (pre-bloom, early bloom, late bloom, and post bloom). In 2018, lake water was collected at NOAA’s monitoring stations WE2 and WE12 and at the drinking water intake for the City of Toledo (TWI). During summer 2019, the goal was to sample lake waters containing high bloom biomass as predicted by the NOAA HAB forecast model and HAB tracker bulletins (Wynne et al. 2013). Sampling sites were chosen based on the presence of surface scums comprised of dense cyanobacterial colonies (i.e., “bloom chase” sites).
For all sites, a depth-integrated water sample was collected in acid-washed carboys. Water samples were collected from the NOAA stations using a peristaltic pump. The pump hose was moved down the water column from the surface to 1 meter above the bottom. For the TWI, bloom chase, and Environment Canada cruise sites, a depth-integrated sample was collected by pooling water collected at 1 m intervals from surface to 1 meter above the lake bottom using a Niskin (Environment Canada) or Van Dorn (TWI and bloom chase sites) bottle. Integrated water samples were stored in carboys in an outdoor aquaculture tank until the start of the bottle experiments the following morning. The water temperature in the aquaculture tank was controlled using copper piping attached to a NESLAB RTE refrigerated water bath (Thermo Scientific, Newington, NH) and maintained at the lake temperature measured at the time of sample collection. During the Environment Canada cruises, bottles and carboys were stored in a plexiglass tank continuously circulated with fresh lake water.
Subsamples for supporting water quality analyses were taken from each carboy. Upon arrival in the laboratory at the University of Michigan, a subsample of whole (unfiltered) water was taken for analysis of total phosphorus. During 2017, pH of the water from each site was obtained from NOAA monitoring buoys. For samples collected in 2018-2019, pH of the whole water was measured upon arrival in the laboratory. Subsamples of the whole water were filtered through a 0.22 μm polyethersulfone (PES) filter for subsequent analysis of total dissolved phosphorus (TDP), soluble reactive phosphorous, nitrate and ammonium, dissolved organic carbon (DOC), and chromophoric and fluorescent dissolved organic matter (CDOM and FDOM, respectively). DOC samples were preserved by addition of 6N trace metal grade hydrochloric acid to pH 3. TDP, SRP, DOC, CDOM and FDOM were stored in the dark at 4 °C until analysis. Nitrate and ammonium samples were stored at -20 °C until analysis at GLERL.
Subsamples for H2O2 and DNA were collected by filtering 100-200 mL of water from each bottle through a 0.22 μm pore size PES filter and collecting the last 50 mL of filtrate into a centrifuge tube. The filtered water for H2O2 analysis was stored in the dark at 4 °C until analysis within 4 hours of collection. H2O2 concentrations were measured on an FeLume by flow injection analysis using standard additions as previously described (King et al. 2007, as applied to Lake Erie waters in Cory et al. 2017; Pandey et al. 2022). The filter was saved for DNA extraction by freezing in a cryovial containing 1 mL RNAlater at -80 °C.
Processed the submitted file Environmental data BCO-DMO.xlsx with the BCO-DMO processing tool Laminar.
- Imported the submitted file into Laminar
- Renamed the parameters to conform with the BCO-DMO naming convention by replacing spaces with underscores, replacing % symbols with the word 'percent', and remove parenthesis.
- Converted dates from the format %d-%b-%y into the ISO 8601 format of %Y-%m-%d
Parameter | Description | Units |
Collection_Date | Collection date | unitless |
Experiment_Date | Experiment date | unitless |
Incubation_Type | Incubation conditions | unitless |
Site | Sampling site | unitless |
Latitude | latitude, South is negative | decimal degrees |
Longitude | Longitude, West is negative | decimal degrees |
Chlorophyll_a | Chlorophyll a | microgram/Liter (ug/L) |
Chlorophyll_a_95percent_CI | Chlorophyll a 95% Confidence Interval | microgram/Liter (ug/L) |
Dissolved_Inorganic_Carbon | dissolved inorganic Carbon | micrometer (uM) |
Dissolved_Inorganic_Carbon_95percent_CI | Chlorophyll a 95% Confidence Interval | micrometer (uM) |
H2CO3_star | H2CO3* (the total dissolved inorganic cabon including aqueous carbon dioxide) | micrometer (uM) |
H2CO3_star_95percent_CI | H2CO3* 95% Confidence Interval | micrometer (uM) |
Bicarbonate | Bicarbonate | micrometer (uM) |
Bicarbonate_95percent_CI | Bicarbonate 95% Confidence Interval | micrometer (uM) |
Carbonate | Carbonate | micrometer (uM) |
Carbonate_95percent_CI | Carbonate 95% Confidence Interval | micrometer (uM) |
Dissolved_Organic_Carbon | dissolved organic Carbon | micrometer (uM) |
Respiration_Rate | Respiration Rate | micrometer O2 / day (uM O2 / day) |
Respiration_Rate_95percent_CI | Respiration Rate 95% Confidence Interval | micrometer O2 / day (uM O2 / day) |
Primary_Production_Rate | Primary Production Rate | micrometer C / hour (uM C / hr) |
Primary_Production_Rate_95percent_CI | Primary Production Rate 95% Confidence Interval | micrometer C / hour (uM C / hr) |
CDOM_a305 | CDOM (a305) | per meter (m-1) |
CDOM_95percent_CI | CDOM 95% Confidence Interval | per meter (m-1) |
Day_Integrated_UV_A | total amount of UV-A that the experimental bottles were exposed to during the 9 hour experiments | joules per meter squared (J/m^2) |
Day_Integrated_UV_B | total amount of UV-B that the experimental bottles were exposed to during the 9 hour experiments | joules per meter squared (J/m^2) |
Day_Integrated_UV | sum of UV-A and UV-B that the experimental bottles were exposed to during the 9 hour experiments | joules per meter squared (J/m^2) |
pH | pH | unitless |
Total_Phosphorus | Total Phosphorus | microgram/Liter (ug/L) |
Total_Phosphorus_95percent_CI | Total Phosphorus 95% Confidence Interval | microgram/Liter (ug/L) |
Total_Dissolved_Phosphorus | Total Dissolved Phosphorus | microgram/Liter (ug/L) |
Total_Dissolved_Phosphorus_95percent_CI | Total Dissolved Phosphorus 95% Confidence Interval | microgram/Liter (ug/L) |
Nitrate | Nitrate | miligram/Liter (mg/L) |
Nitrate_95percent_CI | Nitrate 95% Confidence Interval | miligram/Liter (mg/L) |
Ammonium | Ammonium | microgram/Liter (ug/L) |
Ammonium_95percent_CI | Ammonium 95% Confidence Interval | microgram/Liter (ug/L) |
Soluble_Reactive_Phosphorus | Soluble Reactive Phosphorus | microgram/Liter (ug/L) |
Soluble_Reactive_Phosphorus_95percent_CI | Soluble Reactive Phosphorus 95% Confidence Interval | microgram/Liter (ug/L) |
Average_Incubation_Temperature | Average Incubation Temperature | degrees Celsius (°C) |
Incubation_Temperature_Standard_Deviation | Incubation Temperature Standard Deviation | degrees Celsius (°C) |
peak_A | Peak A is the fluorescence intensity of FDOM at excitation (ex) of 250 nm and emission (em) at 450 nm | Raman units (RU) |
peak_A_95percent_CI | fDOM peak A 95% Confidence Interval | Raman units (RU) |
peak_C | Peak C is the fluorescence intensity at ex and em of 350 and 450 nm, respectively | Raman units (RU) |
peak_C_95percent_CI | fDOM peak C 95% Confidence Interval | Raman units (RU) |
peak_T | Peak T is the fluorescence intensity at ex and em of 275 and 340 nm, respectively | Raman units (RU) |
peak_T_95percent_CI | fDOM peak T 95% Confidence Interval | Raman units (RU) |
peak_C_peak_A_ratio | fDOM peak C/peak A ratio | unitless |
peak_C_peak_A_ratio_95percent_CI | fDOM peak C/peak A ratio 95% Confidence Interval | unitless |
peak_T_peak_A_ratio | fDOM peak T/peak A ratio | unitless |
peak_T_peak_A_ratio_95percent_CI | fDOM peak T/peak A ratio 95% Confidence Interval | unitless |
Integrated_Fluorescence | Integrated Fluorescence | unitless |
Integrated_Fluorescence_95percent_CI | Integrated Fluorescence 95% Confidence Interval | unitless |
Fluorescence_Index | Fluorescence Index | unitless |
Fluorescence_Index_95percent_CI | Fluorescence Index 95% Confidence Interval | unitless |
Slope_Ratio | The Slope Ratio is the spectral slope ratio of the absorption curve of chromophoric dissolved organic matter (CDOM). The slope ratio is a unitless proxy for the average molecular weight of DOM | unitless |
Slope_Ratio_95percent_CI | Slope Ratio 95% Confidence Interval | unitless |
Dataset-specific Instrument Name | NESLAB RTE refrigerated water bath |
Generic Instrument Name | circulating water bath |
Dataset-specific Description | NESLAB RTE refrigerated water bath made by Thermo Scientific, Newington, NH |
Generic Instrument Description | A device designed to regulate the temperature of a vessel by bathing it in water held at the desired temperature. [Definition Source: NCI] |
Dataset-specific Instrument Name | FeLume |
Generic Instrument Name | Flow Injection Analyzer |
Dataset-specific Description | FeLume, Waterville Analytical, purchased 2011
The description from the company website of Waterville Analytical, http://watervilleanalytical.com/products.html
The FeLume(II) is a general purpose, FIA-based, analytical system for the analysis of Fe(II), Fe(III), Cu(II), Co(II), hydrogen peroxide, and superoxide. |
Generic Instrument Description | An instrument that performs flow injection analysis. Flow injection analysis (FIA) is an approach to chemical analysis that is accomplished by injecting a plug of sample into a flowing carrier stream. FIA is an automated method in which a sample is injected into a continuous flow of a carrier solution that mixes with other continuously flowing solutions before reaching a detector. Precision is dramatically increased when FIA is used instead of manual injections and as a result very specific FIA systems have been developed for a wide array of analytical techniques. |
Dataset-specific Instrument Name | Aqualog fluorometer |
Generic Instrument Name | Fluorometer |
Dataset-specific Description | Aqualog fluorometer made by Horiba Scientific |
Generic Instrument Description | A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ. |
Dataset-specific Instrument Name | |
Generic Instrument Name | Niskin bottle |
Generic Instrument Description | A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc. |
Dataset-specific Instrument Name | peristaltic pump |
Generic Instrument Name | Pump |
Generic Instrument Description | A pump is a device that moves fluids (liquids or gases), or sometimes slurries, by mechanical action. Pumps can be classified into three major groups according to the method they use to move the fluid: direct lift, displacement, and gravity pumps |
NSF Award Abstract:
Toxic cyanobacterial harmful algal blooms (CHABs) are now a worldwide problem that poses dangers for humans and aquatic organisms including life-threatening sickness, beach closures, health alerts, and drinking water treatment plant closures. This project focuses on the basic science needed to understand interactions between the microorganisms present in CHABs and the chemistry of the lakes they inhabit. In particular, it will study the sources, fate, and effects of hydrogen peroxide, which is a potentially important control on the toxicity and species present within these blooms. This research will be conducted in Lake Erie, a source of drinking water for 11 million people that is threatened by CHABs annually. Results will be directly integrated into two water quality models that are widely used by water managers and other stakeholders. This project will support the training of two PhD students, including a first-generation college attendee, and undergraduate students from backgrounds that are underrepresented in the earth sciences. Research will also be integrated into outreach aimed at increasing diversity in the earth sciences by involving women and underrepresented minorities in K-12 as well as college and adult educational settings.
The overall goal of this project is to determine the influence of hydrogen peroxide (H2O2) on cyanobacterial community composition and function in nearshore ecosystems. Preliminary results from Lake Erie show that dominant primary producers rely on heterotrophic bacteria to draw down H2O2 from transiently high environmental levels that are likely inhibitory to members of the cyanobacterial community. This suggests that H2O2 plays important and still poorly understood roles in aquatic microbial ecology. A combination of field sampling, experiments, and state-of-the art "-omics" will be used to test the overall hypothesis that H2O2 decomposition by heterotrophic "helpers" is an important determinant of microbial interactions and community structure and function. Lake Erie will be studied because (i) it is a model system for shallow coastal areas receiving high terrestrial nutrient runoff, (ii) it offers strong inshore-offshore gradients of light and nutrients for comparative studies, and (iii) existing sampling infrastructure, archived samples, and preliminary data can be leveraged. Field and laboratory experiments and measurements will be integrated to answer the following questions: Q1: What drives the temporal dynamics of H2O2 concentrations? Q2: Which enzymes and organisms are responsible for protecting the community via biological H2O2 decay? Q3: How does protection from H2O2 by helpers influence the composition and function of the community? The study will perform controlled lab experiments on cultures and on natural waters during different points of the bloom. Measures of H2O2 concentrations and rates of production and decay, along with supporting chemical and biological measurements, will be used to assess the major sources and sinks of H2O2. Molecular tools will be used to determine the pathways underpinning H2O2 decay and the effect of H2O2 on cyanobacterial community composition function. In parallel, impacts of varying H2O2 concentrations on growth rates of major cyanobacteria will be assessed experimentally. These experimental results will be placed into context through comparisons with the structure and function of microbial communities from field samples across spatial, temporal, and chemical gradients in this coastal ecosystem. The approach of integrating studies of H2O2 with "-omics" in natural systems is novel, and will advance our fundamental knowledge and understanding of the relationship between microbial community composition and function.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |