Dataset: Phytoplankton dilution experiments

Name: Phytoplankton dilution experiments
Published: 2025-02-13
Keywords: wildfire, ash leachate, phytoplankton, Coastal, Thomas fire, oceans

View Data: Data not available yet

Cite This Dataset

Spatial Extent: N:35.21268 E:-118.402 S:33.54503 W:-122.2133

Southern California coast

Temporal Extent: 2023-08-02 - 2023-08-18

Project:

Postdoctoral Fellowship: OCE-PRF: Smoke on the water: the impacts of wildfire ash deposition on surface ocean biology (Smoke on the water)

Principal Investigator:

Nicholas Baetge (Oregon State University, OSU)

Scientist:

Jason Graff (Oregon State University, OSU)

Allen J. Milligan (Oregon State University, OSU)

Student:

Parker Hansen (Oregon State University, OSU)

Brian Ver Wey (Oregon State University, OSU)

BCO-DMO Data Manager:

Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2025-02-13

Restricted:

Validated:

Current State:

Data not available

Division rates, grazing rates, and accumulation rates from phytoplankton dilution experiments conducted on cruises aboard the R/V Robert Gordon Sproul along the Southern California coast during July and August 2023

Abstract:

These data include division rates, grazing rates, and accumulation rates from dilution experiments conducted on cruises aboard the R/V Robert Gordon Sproul (SP2319, SP2320) between dates 2023-07-28 and 2023-08-19 along the Southern California coast. Dilution experiments were used to assess phytoplankton growth and microzooplankton grazing rates. Deposition of wildfire ash on the ocean can fertilize microbial production but also has the potential to inhibit microbial growth due to heavy metal toxicity. The data collected from these field experiments can contribute to elevating understanding of wildfire-driven material transfer from the terrestrial system to the ocean and its impact on carbon and energy flow in marine food webs. These data were collected by Dr. Nicholas Baetge, Dr. Jason Graff, Dr. Allen Milligan, Brian Ver Wey, and Parker Hansen of Oregon State University.

Expand/Collapse All

Methods & Sampling

All surface seawater was collected just prior to local sunrise from a SBE-911+ Conductivity-Temperature-Depth (CTD, Sea-Bird Scientific) Niskin bottle rosette cast and then transferred or directly filtered into acid-cleaned 20-liter (L) carboys with platinum-cured silicone tubing.

Phytoplankton division and accumulation rates and zooplankton grazing rates (1/d) were estimated in 14 experiments, in which changes in group-specific phytoplankton cell abundances were measured using flow cytometry in a dilution series of total and filtered seawater after 24 hours (sampling at 0 hours and 24 hours). Phytoplankton apparent and instantaneous division rates, accumulation rates, and zooplankton grazing rates were quantified following Morison et al. (2019). For each experiment, 0.45-micrometer (µm) filtered seawater was generated directly from Niskin bottles using a polyethersulfone capsule filter (Polycap TC, Whatman) (Morison et al., 2019). Total seawater was diluted with the filtered seawater in 1-liter (L) acid-cleaned polycarbonate bottles to a final concentration of 100%, 75%, 50%, and 25% total seawater (Landry and Hassett, 1982). Each experiment included at least one biological replicate of one randomly selected dilution. Diluted water either remained unamended or was amended with ash leachate prior to being screened with mesh and incubated in a deck-board incubator with continuously flowing seawater. Ash leachates were added to a final amendment of ~4 micromoles carbon per liter (µmol C/L) as dissolved organic carbon (DOC). Incubations were screened to obtain a light level corresponding to the median intensity in the surface mixed layer.

BCO-DMO Processing

- Imported original file "PHYTO_DILUTION.csv" into the BCO-DMO system.
- Flagged "NA" as a missing data value; missing data are empty/blank in the final CSV file.
- Saved final file as "953007_v1_phytoplankton_dilution_experiments.csv".

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-2306993

Deployments

Deployment	Synonyms	Start Date	Platform	Investigator
SP2319	Redfield ratio 2023 cruise	2023-07-28	R/V Robert Gordon Sproul	Allen J. Milligan (Chief Scientist)	data info
SP2320	Redfield ratio 2023 cruise	2023-08-14	R/V Robert Gordon Sproul	Allen J. Milligan (Chief Scientist)	data info

Instruments

BD Biosciences Influx Cell Sorter

Supplied Name: Influx Cell Sorter

Supplied Description:

Three phytoplankton groups - Synechococcus, picoeukaryotes, and nanoeukaryotes - were identified and enumerated by flow cytometry using an Influx Cell Sorter (Becton, Dickinson, and Company).

Instrument Type

Generic Name: BD Biosciences Influx Cell Sorter

Generic Description:

The BD Influx cell sorter is a flow cytometry platform with modular architecture and a combination of detection capabilities and hands-on controls. The optical system has up to ten lasers that can be customized with detectors and filters. The BD Influx system can handle a throughput rate of up to 200,000 events per second and features two, four and six way sorting as well as plate sorting. The fluidics system protects cells and addresses contamination. The nozzle assembly is designed to produce high droplet frequencies at relatively low pressures, enabling high-speed sorting while maintaining cell viability and functionality.

Niskin bottle

Supplied Description:

Instrument Type

Generic Name: Niskin bottle

Community Identifier: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/

Generic 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.

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
stn	station number	unitless	station
lat	latitude	degrees North	lat
lon	longitude	degrees West	lon
dt	datetime (UTC) in ISO 8601 format Format: %Y-%m-%dT%H:%M:%SZ	unitless	ISO_DateTime_UTC
trt	treatment type: control or amendment with (1) Thomas Fire ash leachate, (2) low temperature (<500 degrees C) ash leachate, or (3) high temperature (>500 degrees C) ash leachate.	unitless	treatment
phyto	phytoplankton group enumerated in dilution experiments	unitless	taxon
division	mean apparent division rate for each phytoplankton group across replicate bottles	per day (1/d)	rate_measurements
sd_division	standard deviation of the mean apparent division rate for each phytoplankton group across replicate bottles	per day (1/d)	rate_measurements
grazing	mean grazing rate rate for each phytoplankton group across replicate bottles	per day (1/d)	rate_measurements
sd_grazing	standard deviation of the mean grazing rate for each phytoplankton group across replicate bottles	per day (1/d)	rate_measurements
accumulation	mean accumulation rate for each phytoplankton group across replicate bottles	per day (1/d)	rate_measurements
sd_accumulation	standard deviation of the mean accumulation rate for each phytoplankton group across replicate bottles	per day (1/d)	rate_measurements

Status message

Database

Contribute Data

Dataset: Phytoplankton dilution experiments