Contributors | Affiliation | Role |
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Baumann, Hannes | University of Connecticut (UConn) | Principal Investigator |
Cross, Emma L. | University of Connecticut (UConn) | Co-Principal Investigator, Contact |
Murray, Christopher S. | University of Connecticut (UConn) | Co-Principal Investigator |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Carbonate chemistry data from static and fluctuating pCO2 x dissolved oxygen (DO) experiments on Menidia menidia. Four separate experiments were conducted over two consecutive years to determine the effects of static and fluctuating pCO2 x DO conditions on the early life survival and growth of the coastal forage fish, M. menidia.
Wild adults were collected using a 30 x 2 m beach seine and strip-spawned in the laboratory the following day. 100 embryos were then placed in each replicate across 9 recirculating systems of different pCO2 x DO conditions (control, intermediate, extreme) and cycling patterns (static, small diel fluctuation, large diel fluctuation and tidal fluctuation).
pCO2 x DO conditions were measured every hour for each tank and adjusted to the pre-determined conditions via the injection of carbon dioxide, nitrogen gas and/or CO2-stripped air. LabView software (National Instruments) was used to control sampling pumps and gas and water solenoids.
Seawater samples of each tank were collected three times throughout each experiment and stored in 4°C for subsequent alkalinity measurements up to two weeks after the experiment finished. For more details please see Cross et al. (submitted).
Data processing: CO2SYS version 2.1 was used to calculate pCO2 in the carbonate chemistry tables.
File |
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carbonate_chemistry.csv (Comma Separated Values (.csv), 8.73 KB) MD5:bfa079cefb84af7f9191fe4e0f837dce Primary data file for dataset ID 777144 |
Parameter | Description | Units |
Experiment | Experiment number | unitless |
Experiment_descrip | Description of experiment | unitless |
Treatment | Experimental treatment/conditions | unitless |
Cycling_Pattern | Experimental cycling pattern | unitless |
Metric | Indicates whether values are mean, min, or max; applicable only to Measured_pH, Measured_DO, and pCO2 columns of experiments three and four | unitless |
Measured_pH | Mean of hourly pH measurements from a computer-controlled pH/DO manipulation system using a Hach pH probe | pH scale, NIST |
Measured_pH_SD | Standard deviation (S.D.) of Measured_pH | pH scale, NIST |
Measured_DO | Mean of hourly dissolved oxygen measurements from a computer-controlled pH/DO manipulation system using a Hach DO probe | milligrams per liter (mg L-1) |
Measured_DO_SD | Standard deviation (S.D.) of Measured_DO | milligrams per liter (mg L-1) |
pCO2 | Mean of partial pressure of CO2 calculated from alkalinity and pH measurements in CO2SYS v2.1 | microatmospheres (uatm) |
pCO2_SD | Standard deviation (S.D.) of pCO2 | microatmospheres (uatm) |
AT | Mean of alkalinity measurements from a Metler Toledo G20 Potentiometric titrator | micromoles per kilogram (umol kg-1) |
AT_SD | Standard deviation (S.D.) of AT | micromoles per kilogram (umol kg-1) |
Temperature | Mean of hourly temperature measurements from a a computer-controlled pH/DO manipulation system using a Hach DO probe | degrees Celsius |
Temperature_SD | Standard deviation (S.D.) of Temperature | degrees Celsius |
Salinity | Mean of daily salinity measurements from a refractometer | psu |
Salinity_SD | Standard deviation (S.D.) of Salinity | psu |
Dataset-specific Instrument Name | Metler Toledo G20 Potentiometric Titrator |
Generic Instrument Name | Automatic titrator |
Dataset-specific Description | Alkalinity – Metler Toledo G20 Potentiometric Titrator calibrated with certified reference material from Dr. Andrew Dickson, University of California San Diego |
Generic Instrument Description | Instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached. |
Dataset-specific Instrument Name | Hach LDO Model 2 |
Generic Instrument Name | Oxygen Sensor |
Dataset-specific Description | Dissolved oxygen (DO) – Optical DO probe (Hach LDO Model 2) |
Generic Instrument Description | An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed |
Dataset-specific Instrument Name | Hach pHD digital electrode |
Generic Instrument Name | pH Sensor |
Dataset-specific Description | pHNIST - Hach pHD digital electrode - calibrated twice weekly using NIST 2-point pH buffers |
Generic Instrument Description | An instrument that measures the hydrogen ion activity in solutions.
The overall concentration of hydrogen ions is inversely related to its pH. The pH scale ranges from 0 to 14 and indicates whether acidic (more H+) or basic (less H+). |
Dataset-specific Instrument Name | Aqualogic Deltastar |
Generic Instrument Name | Water Temperature Sensor |
Dataset-specific Description | Temperature - Aqualogic thermostats connected to submersible heaters and chillers (Deltastar) |
Generic Instrument Description | General term for an instrument that measures the temperature of the water with which it is in contact (thermometer). |
Description from NSF award abstract:
Coastal marine ecosystems provide a number of important services and resources for humans, and at the same time, coastal waters are subject to environmental stressors such as increases in ocean acidification and reductions in dissolved oxygen. The effects of these stressors on coastal marine organisms remain poorly understood because most research to date has examined the sensitivity of species to one factor, but not to more than one in combination. This project will determine how a model fish species, the Atlantic silverside, will respond to observed and predicted levels of dissolved carbon dioxide (CO2) and oxygen (O2). Shorter-term experiments will measure embryo and larval survival, growth, and metabolism, and determine whether parents experiencing stressful conditions produce more robust offspring. Longer-term experiments will study the consequences of ocean acidification over the entire life span by quantifying the effects of high-CO2 conditions on the ratio of males to females, lifetime growth, and reproductive investment. These studies will provide a more comprehensive view of how multiple stressors may impact populations of Atlantic silversides and potentially other important forage fish species. This collaborative project will support and train three graduate students at the University of Connecticut and the Stony Brook University (NY), two institutions that attract students from minority groups. It will also provide a variety of opportunities for undergraduates to participate in research and the public to learn about the study, through summer research projects, incorporation in the "Women in Science and Engineering" program, and interactive displays of environmental data from monitoring buoys. The two early-career investigators are committed to increasing ocean literacy and awareness of NSF-funded research through public talks and presentations.
This project responds to the recognized need for multi-stressor assessments of species sensitivities to anthropogenic environmental change. It will combine environmental monitoring with advanced experimental approaches to characterize early and whole life consequences of acidification and hypoxia in the Atlantic silverside (Menidia menidia), a valued model species and important forage fish along most of the US east coast. Experiments will employ a newly constructed, computer-controlled fish rearing system to allow independent and combined manipulation of seawater pCO2 and dissolved oxygen (DO) content and the application of static and fluctuating pCO2 and DO levels that were chosen to represent contemporary and potential future scenarios in productive coastal habitats. First CO2, DO, and CO2 × DO dependent reaction norms will be quantified for fitness-relevant early life history (ELH) traits including pre- and post-hatch survival, time to hatch, post-hatch growth, by rearing offspring collected from wild adults from fertilization to 20 days post hatch (dph) using a full factorial design of 3 CO2 × 3 DO levels. Second, the effects of tidal and diel CO2 × DO fluctuations of different amplitudes on silverside ELH traits will be quantified. To address knowledge gaps regarding the CO2-sensitivity in this species, laboratory manipulations of adult spawner environments and reciprocal offspring exposure experiments will elucidate the role of transgenerational plasticity as a potential short-term mechanism to cope with changing environments. To better understand the mechanisms of fish early life CO2-sensitivity, the effects of temperature × CO2 on pre- and post-hatch metabolism will be robustly quantified. The final objective is to rear silversides from fertilization to maturity under different CO2 levels and assess potential CO2-effects on sex ratio and whole life growth and fecundity.
Related references:
Gobler, C.J. and Baumann, H. (2016) Hypoxia and acidification in ocean ecosystems: Coupled dynamics and effects on marine life. Biology Letters 12:20150976. doi:10.1098/rsbl.2015.0976
Baumann, H. (2016) Combined effects of ocean acidification, warming, and hypoxia on marine organisms. Limnology and Oceanography e-Lectures 6:1-43. doi:10.1002/loe2.10002
Depasquale, E., Baumann, H., and Gobler, C.J. (2015) Variation in early life stage vulnerability among Northwest Atlantic estuarine forage fish to ocean acidification and low oxygen Marine Ecology Progress Series 523: 145–156.doi:10.3354/meps11142
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |