Contributors | Affiliation | Role |
---|---|---|
Anderson, Iris C. | Virginia Institute of Marine Science (VIMS) | Principal Investigator |
Brush, Mark J. | Virginia Institute of Marine Science (VIMS) | Co-Principal Investigator, Contact |
Reece, Kimberly S. | Virginia Institute of Marine Science (VIMS) | Co-Principal Investigator |
Song, Bongkeun | Virginia Institute of Marine Science (VIMS) | Co-Principal Investigator |
Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Data were collected on several single-day cruises on small privateers out of the Virginia Institute of Marine Science, Gloucester Point, VA
Stations on each date were visually selected to cover a wide range of chlorophyll-a concentrations, including sites with no clear presence of a bloom. At each site, a YSI EXO2 datasonde was used to collect vertical profiles of water temperature, salinity, chlorophyll-a, and turbidity. On the first cruise (8/19/21), readings were recorded sub-surface (0.1 m) and then in 1 m increments to the bottom. On the second date (8/26/21), the YSI logged continuous vertical profiles. On the three dates in 2022, we again targeted discrete depths including 0.1, 0.5, 1, and 1.5 m, and then in 1 m increments to the bottom, although actual depths varied. Data from 8/26/21 were bin-averaged into the increments from 2022 for ease of comparison (averaging all profile values within 0.1 m of the target depths). Vertical profiles of irradiance were measured with LI-COR surface (LI-190SA) and underwater (LI-192SA) quantum sensors; the LI-COR datalogger (LI-1400) was programmed to record the ratio of irradiance at depth to that at the surface. Depth increments varied among cruises but generally included a measurement just beneath the surface, and then measurements in 0.1-0.25 m increments down to 1-2 m depth.
Values were used to compute the vertical attenuation coefficient using Beer’s Law. Sub-surface (~ 10 cm) water samples were collected in triplicate at each station and returned to the lab where they were filtered through 0.7 um glass fiber filters which were frozen prior to analysis following Arar and Collins (1997, EPA Method 445.0). Samples were extracted in the dark for 24 h in 8 ml of a 45:45:10 dimethyl sulfoxide : acetone: distilled water solution with 1% diethylamine (Shoaf and Lium 1976, Limnol Oceanogr 21: 926−928), and read on a 10 AU Turner Designs fluorometer before and after acidification to compute uncorrected chlorophyll-a, active chlorophyll-a, and phaeophytin.
To facilitate comparisons with profiles collected at discrete depths, continuous vertical profile data from 8/26/21 were bin-averaged into the increments from 2022 by averaging all profile values within 0.1 m of the target depths. Vertical attenuation coefficient was computed from irradiance data using Beer’s Law. Concentrations of uncorrected chlorophyll-a, active chlorophyll-a, and phaeophytin were computed using the equations in Arar and Collins (1997, EPA Method 445.0); values represent the mean and standard error of triplicate values. Extracted pigment data and attenuation coefficients are included in the dataset at the shallowest depth for each date and station.
Parameter | Description | Units |
Date | Cruise date | unitless |
Time | Time of sample collection (EDT) | unitless |
Station | Station number | unitless |
Lat | Latitude in decimal degrees (NAD83) | decimal degrees |
Long | Longitude in decimal degrees (NAD83) | decimal degrees |
Depth | Water depth in meters | meters (m) |
Temp | Water temperature in degrees Celsius | degrees Celsius(°C) |
Salinity | Salinity | unitless |
Chla_YSI | Chlorophyll-a concentration from the YSI in ug/l (sensor value) | ug/l |
Turbidity | Turbidity in FNU | FNU |
Avg_Uncorr_Chla | Average uncorrected chlorophyll-a in ug/l (extracted value) | ug/l |
SE_Uncorr_Chla | Standard error of uncorrected chlorophyll-a in ug/l (extracted value) | ug/l |
Avg_Active_Chla | Average active chlorophyll-a in ug/l (extracted value) | ug/l |
SE_Active_Chla | Standard error of active chlorophyll-a in ug/l (extracted value) | ug/l |
Avg_Phaeo | Average phaeophytin in ug/l (extracted value) | ug/l |
SE_Phaeo | Standard error of phaeophytin in ug/l (extracted value) | ug/l |
kD | Vertical attenuation coefficient for irradiance in 1/m | 1/m |
ISO_DateTime_UTC | Date Time of sample collection in ISO formate, UTC timezone | unitless |
Dataset-specific Instrument Name | LI-COR LI-1400 |
Generic Instrument Name | Data Logger |
Dataset-specific Description | Irradiance profiles were measured with a LI-COR LI-1400 datalogger and surface (LI-190SA) and underwater (LI-192SA) quantum sensors |
Generic Instrument Description | Electronic devices that record data over time or in relation to location either with a built-in instrument or sensor or via external instruments and sensors. |
Dataset-specific Instrument Name | LI-190SA |
Generic Instrument Name | LI-COR LI-190SA PAR Sensor |
Dataset-specific Description | Irradiance profiles were measured with a LI-COR LI-1400 datalogger and surface (LI-190SA) and underwater (LI-192SA) quantum sensors. |
Generic Instrument Description | The LI-190SA Quantum Sensor is used to accurately measure (non-aquatic) Photosynthetically Active Radiation (PAR) in the range of 400-700 nm. Colored glass filters are used to tailor the silicon photodiode response to the desired quantum response. The LI-190SA is also used as a reference sensor for comparison to underwater PAR measured by the LI-192SA or LI-193 Underwater Quantum Sensors. |
Dataset-specific Instrument Name | LI-192SA |
Generic Instrument Name | LI-COR LI-192 PAR Sensor |
Dataset-specific Description | rradiance profiles were measured with a LI-COR LI-1400 datalogger and surface (LI-190SA) and underwater (LI-192SA) quantum sensors. |
Generic Instrument Description | The LI-192 Underwater Quantum Sensor (UWQ) measures underwater or atmospheric Photon Flux Density (PPFD) (Photosynthetically Available Radiation from 360 degrees) using a Silicon Photodiode and glass filters encased in a waterproof housing. The LI-192 is cosine corrected and features corrosion resistant, rugged construction for use in freshwater or saltwater and pressures up to 800 psi (5500 kPa, 560 meters depth). Typical output is in um s-1 m-2. The LI-192 uses computer-tailored filter glass to achieve the desired quantum response. Calibration is traceable to NIST. The LI-192 serial numbers begin with UWQ-XXXXX. LI-COR has been producing Underwater Quantum Sensors since 1973.
These LI-192 sensors are typically listed as LI-192SA to designate the 2-pin connector on the base of the housing and require an Underwater Cable (LI-COR part number 2222UWB) to connect to the pins on the Sensor and connect to a data recording device.
The LI-192 differs from the LI-193 primarily in sensitivity and angular response.
193: Sensitivity: Typically 7 uA per 1000 umol s-1 m-2 in water. Azimuth: < ± 3% error over 360° at 90° from normal axis. Angular Response: < ± 4% error up to ± 90° from normal axis.
192: Sensitivity: Typically 4 uA per 1000 umol s-1 m-2 in water. Azimuth: < ± 1% error over 360° at 45° elevation. Cosine Correction: Optimized for underwater and atmospheric use.
(www.licor.com) |
Dataset-specific Instrument Name | 10 AU Turner Designs |
Generic Instrument Name | Turner Designs Fluorometer 10-AU |
Dataset-specific Description | Extracted chlorophyll-a concentrations were measured on a 10 AU Turner Designs fluorometer periodically calibrated to a stock solution of known concentration and checked before each run with a solid standard from Turner Designs. |
Generic Instrument Description | The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer. (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA) |
Dataset-specific Instrument Name | YSI EXO2 datasonde |
Generic Instrument Name | YSI EXO multiparameter water quality sondes |
Dataset-specific Description | Water temperature, salinity, chlorophyll-a, and turbidity profiles were measured with a YSI EXO2 datasonde calibrated to YSI calibration solutions. |
Generic Instrument Description | Comprehensive multi-parameter, water-quality monitoring sondes designed for long-term monitoring, profiling and spot sampling. The EXO sondes are split into several categories: EXO1 Sonde, EXO2 Sonde, EXO3 Sonde. Each category has a slightly different design purpose with the the EXO2 and EXO3 containing more sensor ports than the EXO1. Data are collected using up to four user-replaceable sensors and an integral pressure transducer. Users communicate with the sonde via a field cable to an EXO Handheld, via Bluetooth wireless connection to a PC, or a USB connection to a PC. Typical parameter specifications for relevant sensors include dissolved oxygen with ranges of 0-50 mg/l, with a resolution of +/- 0.1 mg/l, an accuracy of 1 percent of reading for values between 0-20 mg/l and an accuracy of +/- 5 percent of reading for values 20-50 mg/l. Temp ranges are from-5 to +50 degC, with an accuracy of +/- 0.001 degC. Conductivity has a range of 0-200 mS/cm, with an accuracy of +/-0.5 percent of reading + 0.001 mS/cm and a resolution of 0.0001 - 0.01 mS/cm. |
NSF Award Abstract:
Estuaries, coastal water bodies where rivers mix with ocean water, are hotspots for the processing of carbon and nutrients moving from land to the coastal ocean. Within estuaries land-based nutrient inputs can cause intense blooms of single-celled algae called phytoplankton, which can have significant impacts on the ecosystem. As blooms move down-estuary some of the phytoplankton material is buried on the bottom, and some is decomposed, resulting in low oxygen conditions (hypoxia), harmful to marine life, and production of carbon dioxide (CO2), the major greenhouse gas, which can exchange with the atmosphere. The remaining phytoplankton material can be exported to the ocean. The type and amount of carbon exported from the estuary depend both on its biological activity and physical factors such as fresh water discharge, temperature, and light availability. If phytoplankton production is greater than decomposition, the estuary will take up atmospheric CO2 and export phytoplankton carbon to the coastal ocean. On the other hand, if decomposition is greater than production the estuary will be a source of CO2 to the atmosphere and dissolved CO2 to the coastal ocean. The investigators expect that intense phytoplankton blooms will greatly amplify carbon exchanges with the atmosphere, coastal ocean, and bottom sediments. As intense phytoplankton blooms increase in the future due to increased nutrient inputs and temperature, low oxygen events may become more frequent with potential negative impacts on fisheries and increased export of carbon to the coastal ocean and atmosphere. This study will fill critical gaps identified by the Coastal Carbon Synthesis Program in knowledge of how microtidal estuaries transform and export C to the atmosphere, benthos, and coastal ocean. In addition, there will be a strong teaching and training component to this project, with support for graduate and undergraduate students. The graduate student will be partnered with secondary teachers to gain teaching experience and enrich the middle school educational programs. Summer undergraduate interns will be recruited for a summer program from Hampton University, a historically Black college. There will be public outreach through participation in existing programs at VIMS.
Estuaries serve as critical hotspots for the processing of carbon (C) as it transits from land to the coastal ocean. Recent attempts to synthesize what is known about sources and fates of C in estuaries have noted large data gaps; thus, the role of estuaries, especially those that are microtidal, as important sources of carbon dioxide (CO2) to the atmosphere and total organic carbon (TOC) and dissolved inorganic carbon (DIC) to the coastal ocean, or as a C sink in bottom sediments, remains uncertain. Intensive phytoplankton blooms are becoming increasingly frequent in many estuaries and are likely to have important and yet unknown impacts on the C cycle. The trophic status of an estuary will determine in large part the species of C exported to the atmosphere, bottom sediments, and coastal ocean. The overarching objective of this project is to identify the impacts of intense phytoplankton blooms on C speciation, net C fluxes and exchanges in the Lower York River Estuary (LYRE), a representative mesotrophic, microtidal mid-Atlantic estuary. Metabolic processes are hypothesized to be spatially and temporally dynamic, driving the speciation, abundance, and fates of C in the LYRE. High spatiotemporal resolution sampling in the LYRE will capture rates of C cycling under both baseline conditions throughout most of the year, and during periods when the estuary is perturbed by widespread and intense, but patchy, late summer phytoplankton blooms. The short-term effects of physical drivers (wind, temperature, salinity, fresh water discharge, nutrient and organic carbon loads) and biological drivers (metabolic rates, bacterial and phytoplankton abundances and composition) on C transformations, speciation, and exchanges will be assessed. Expected longer term variations in the C cycle due to anthropogenic and natural disturbances will be predicted through use of modeling. In addition, laboratory manipulations will examine the impacts of specific organisms dominating intensive phytoplankton blooms on benthic metabolism, processing of organic C by the microbial community, and C fluxes to the water column.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |