Contributors | Affiliation | Role |
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Baetge, Nicholas | Oregon State University (OSU) | Principal Investigator |
Graff, Jason | Oregon State University (OSU) | Scientist |
Milligan, Allen J. | Oregon State University (OSU) | Scientist |
Hansen, Parker | Oregon State University (OSU) | Student |
Ver Wey, Brian | Oregon State University (OSU) | Student |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Bio-optical measurements of surface seawater were made using the shipboard flow-through system within three hours of a CTD cast. Measurements of particulate attenuation (cp) and particulate absorption (ap) at three wavelengths (λ = 470, 532, and 660 nanometers (nm)) were made with an AC-S spectrophotometer (serial number 94; Sea-Bird Scientific [WET Labs, Inc.]). Coincident measurements of particulate backscattering (bbp) at three wavelengths (λ = 470, 532, and 660 nm) were made with an ECO-BB3 (serial number 349; Sea-Bird Scientific [WET Labs, Inc.]) set in a custom enclosure (Dall’Olmo et al., 2009).
Bio-optical data were processed using InLineAnalysis available from the Maine In-situ Sound & Color Lab (https://github.com/OceanOptics/InLineAnalysis; Boss et al, 2019).
- Imported original file "BIO-OPTICS.csv" into the BCO-DMO system.
- Flagged "NA" as a missing data value; missing data are empty/blank in the final CSV file.
- PI applied rounding to numeric values and provided a new file.
- Saved final data file as "953193_v1_bio-optical_measurements.csv".
File |
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953193_v1_bio-optical_measurements.csv (Comma Separated Values (.csv), 1.33 MB) MD5:626d74d52645a577f91ba3595287c4ec Primary data file for dataset ID 953193, version 1 |
Parameter | Description | Units |
stn | station number | unitless |
lat | latitude | degrees North |
lon | longitude | degrees East |
dt | datetime (UTC) in ISO 8601 format | unitless |
bbp_470 | particulate backscattering at 470 nm | reciprocal meters (1/m) |
bbp_532 | particulate backscattering at 532 nm | reciprocal meters (1/m) |
bbp_660 | particulate backscattering at 660 nm | reciprocal meters (1/m) |
ap_470 | particulate absorption at 470 nm | reciprocal meters (1/m) |
ap_532 | particulate absorption at 532 nm | reciprocal meters (1/m) |
ap_660 | particulate absorption at 660 nm | reciprocal meters (1/m) |
cp_470 | particulate attenuation at 470 nm | reciprocal meters (1/m) |
cp_532 | particulate attenuation at 532 nm | reciprocal meters (1/m) |
cp_660 | particulate attenuation at 660 nm | reciprocal meters (1/m) |
poc_cp_660 | Particulate organic carbon concentration estimated from particulate attenuation at 660 nm | milligrams per cubic meter (mg/m3) |
chl_ap676lh | Chlorophyll concentration estimated from the line height of particulate absorption at 676 nm | milligrams per cubic meter (mg/m3) |
gamma_cp | The mean particle size index | unitless |
Dataset-specific Instrument Name | AC-S spectrophotometer |
Generic Instrument Name | WET Labs AC-S in-situ spectrophotometer |
Dataset-specific Description | Measurements of particulate attenuation (cp) and particulate absorption (ap) at three wavelengths (λ = 470, 532, and 660 nm) were made with an AC-S spectrophotometer (serial number 94; Sea-Bird Scientific [WET Labs, Inc.]). |
Generic Instrument Description | The WET Labs {Sea-Bird WETLabs} AC-S in-situ spectrophotometer is based on the AC-9 flow-through sensor offering increased spectral resolution of in-situ absorption and beam attenuation. The AC-S can have 80 (+/- 5) wavelength outputs with a range of 400-730 nm. The AC-S consists of a 10 or 25-centimeter (cm) pathlength, a 4-nanometer (nm) resolution, an accuracy of 0.001 - 10 m-1, an operational temperature range of 0 - 30 degrees Celsius, and an operational depth rating of 500 meters. |
Dataset-specific Instrument Name | ECO-BB3 |
Generic Instrument Name | WET Labs ECO BB3SLO scattering sensor |
Dataset-specific Description | Coincident measurements of particulate backscattering (bbp) at three wavelengths (λ = 470, 532, and 660 nm) were made with an ECO-BB3 (serial number 349; Sea-Bird Scientific [WET Labs, Inc.]) set in a custom enclosure (Dall’Olmo et al., 2009). |
Generic Instrument Description | The WET Labs {Sea-Bird WETLabs} ECO Puck Triplet BB3SLO scattering sensor is a variant of the ECO Puck Triplet. The BB3 is a three-optical-sensor, user-defined instrument that carries 3 scattering meters. ECO Pucks are real‐time only sensors as they are integrated onto the OEM platform that provides power and data handling. The SLO designation signifies this is a 1st generation model that is specific for integration into Slocum gliders. The fluorometers and scattering meter are single wavelength sensors. The model is depth-rated to 600 meters. |
Website | |
Platform | R/V Robert Gordon Sproul |
Start Date | 2023-08-14 |
End Date | 2023-08-19 |
Description | See more information at R2R: https://www.rvdata.us/search/cruise/SP2320 |
Website | |
Platform | R/V Robert Gordon Sproul |
Start Date | 2023-07-28 |
End Date | 2023-08-10 |
Description | See more information at R2R: https://www.rvdata.us/search/cruise/SP2319 |
NSF Award Abstract:
Climate-driven warming is projected to increase the frequency, intensity, and size of wildfires that can have severe environmental, human, and economic impacts, particularly along the U.S. West Coast. These wildfires result in dramatic CO2 emissions and deposition of ash carrying nutrients, organic matter, and trace metals onto the coastal and open ocean. Deposition of wildfire ash on the ocean can alter the carbon and energy flow through marine food webs by fertilizing microbial production or inhibiting microbial growth due to heavy metal toxicity. How the character of both the ash (e.g., chemical quality, fertilizing v. toxic) and the starting microbial community composition (e.g., diversity, size distribution) influences the microbial response to ash-derived material is unknown. This project will address this knowledge gap by investigating the physiological responses of marine plankton off the U.S West Coast to different types of ash generated from local wildfires and plant biomass. This work will advance interdisciplinary science, bridging biological oceanography with terrestrial ecology and biogeochemistry, by generating foundational knowledge of wildfire impacts on surface ocean biology and carbon and energy transfer from land to ocean. Results from this project will enable improved forecasts of changes in marine ecosystems in response to wildfires, which is information pertinent to communities and industries that depend on ocean ecosystem resources, including fisheries. The work will also inform national efforts to mitigate and adapt to the impacts of climate change by addressing whether wildfire-stimulated fertilization and carbon fixation in the ocean can offset CO2 emissions from wildfires. This project will broaden participation and education in ocean science by providing immersive research experiences for multiple undergraduate students and opportunities for them to disseminate their work through scientific conferences and publications. Additionally, a day-long content unit related to the project will be developed and implemented in Oregon State University’s annual week-long Microbiology Summer Camp, which provides local high school students with a hands-on learning experience in microbiology.
Specifically, this project consists of mechanistic studies designed to quantitatively describe the physiological responses (e.g., growth, productivity, cellular stoichiometry) of phytoplankton and bacterioplankton to a variety of ash types. The quantity and proportion of nutrients, organic matter, and trace metals leached from ash into seawater likely depends on the quality of the ash, which is influenced by vegetation type and the temperature at which the ash was produced. This study will assess how microbial production and growth are fertilized or inhibited by the composition of ash and will consist of two primary elements. In the first element, ash will be collected from the field and generated in the lab from plant biomass. The ash will then be leached in seawater and chemically characterized for inorganic and organic matter content. In the second element, seawater incubation experiments will be conducted to quantify physiological and diversity-based responses of naturally occurring phytoplankton and bacterial communities to different ash types. Data generated from this project will contribute to improved predictive models of wildfire-driven material transfer from the terrestrial system to the ocean and its impact on carbon and energy flow in marine food webs.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |