Contributors | Affiliation | Role |
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Tobin, Elizabeth D. | University of Alaska Fairbanks (UAF-Juneau) | Principal Investigator |
Ake, Hannah | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Biddle, Mathew | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Phytoplankton data and associated environmental conditions collected from niskin bottles approximately weekly from four phytoplankton monitoring sites in Juneau, AK in 2015 and 2016.
Phytoplankton Data:
Dock and beach-based phytoplankton bottle seawater grab (2.2L, horizontal, pvc) samples were collected at approximately weekly intervals at four phytoplankton sampling stations; Auke Bay, Amalga, Eagle Beach and Auke Rec in Juneau, AK. The bottle grab sampler was deployed to depth in the open position and triggered using a messenger.
Environmental Data:
Air temperature was recorded using the GPS mode on the NOAA weather android application. Surface seawater salinity was determined using a refractometer for salinity. Surface seawater temperature was recorded using a waterproof digital thermometer. Tide observations were verified using the GPS mode on the Tides Near Me android application.
Grab bottle samples were transferred into a 1 L Nalgene bottle and 100 mL was subsampled into a settling jar, fixed with 25% Glutaraldehyde (final concentration 0.25% Glutaraldehyde) and concentrated 10x. The 10x concentrated seawater sample was counted in a 1mL Sedgewrick Rafter counting chamber to determine concentrations of the target species Alexandrium sp., and the Dinoflagellate and Diatom communities.
BCO-DMO Data Processing Notes:
-Reformatted column names to comply with BCO-DMO standards
-Removed spaces from data values and replaced with underscores
-Filled in blank cells with "nd"
-Replaced tide and weather codes with the appropriate definitions listed in the metadata
-2017-07-25: Updated with data from 2016.
File |
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phyto_bottle_data.csv (Comma Separated Values (.csv), 38.20 KB) MD5:14a15c7886a52c771f165928ce50bb98 Primary data file for dataset ID 711846 |
Parameter | Description | Units |
sampling_event | Sampling event ID | unitless |
date | Date sample was taken; YYYYmmdd | unitless |
time_zone | Time zone where sample was taken | unitless |
time_local | Local time when sampling occurred; HH:MM | unitless |
station | Station where sample was taken | unitless |
lat | Latitude | decimal degrees |
lon | Longitude | decimal degrees |
investigator | Investigator responsible for collecting sample | unitless |
site_type | Type of site where sampling occurred; Dock or Beach | unitless |
air_temp | Air temperature | celsius |
surface_salinity | Surfance salinity | parts per thousand (PPT) |
surface_temp | Sea surface temperature | celsius |
weather | Observed weather conditions | unitless |
tide | Observed tide conditions | unitless |
instrument | Instrument used to collect sample | unitless |
depth | Depth of sample | meters |
dinoflagellates | Algal cell concentration | cells per liter (cells/L) |
diatoms | Algal cell concentration | cells per Liter (cells/L) |
Alexandrium_sp | Algal cell concentration | cells per Liter (cells/L) |
ISO_DateTime_Local | DateTime local; YYYY-mm-dd HH:MM | unitless |
year | Four digit year sample was taken; YYYY | unitless |
Dataset-specific Instrument Name | Bottle |
Generic Instrument Name | Bottle |
Dataset-specific Description | 2.2L horizontal pvc |
Generic Instrument Description | A container, typically made of glass or plastic and with a narrow neck, used for storing drinks or other liquids. |
Dataset-specific Instrument Name | Refractometer |
Generic Instrument Name | Refractometer |
Dataset-specific Description | Measured sea surface salinity |
Generic Instrument Description | A refractometer is a laboratory or field device for the measurement of an index of refraction (refractometry). The index of refraction is calculated from Snell's law and can be calculated from the composition of the material using the Gladstone-Dale relation.
In optics the refractive index (or index of refraction) n of a substance (optical medium) is a dimensionless number that describes how light, or any other radiation, propagates through that medium. |
Website | |
Platform | shoreside Juneau_Alaska |
Start Date | 2015-03-10 |
End Date | 2016-12-15 |
Description | Phytoplankton and CTD sampling was performed here in 2015 and 2016 by E. Tobin. |
Description from NSF award abstract:
The project is supported under the NSF Science, Engineering and Education for Sustainability Fellows (SEES Fellows) program, with the goal of helping to enable discoveries needed to inform actions that lead to environmental, energy and societal sustainability while creating the necessary workforce to address these challenges.
This project focuses on the sustainability of shelfish harvesting in Alaska. In Alaska, paralytic shellfish poisoning caused by the marine alga Alexandrium is a severe and persistent problem that significantly impacts human health and the availability of shellfish resources. This project aims to enhance sustainability of commercial, recreational and subsistence shellfish harvest in Southeast Alaska by addressing the ecology of Alexandrium harmful algal blooms and their sociocultural impacts. Despite the recognized impacts of paralytic shellfish poisoning, little research has been done on the causative organism, Alexandrium, and the sociocultural impacts of toxic Alexandrium blooms in the Southeast Alaska region. This study is a three-pronged effort. First, the project bolsters understanding of the ecological mechanisms that promote Alexandrium blooms by mapping cyst seedbeds (i.e., bloom initiation sites), monitoring cyst emergence, and identifying environmental conditions under which blooms form. This information adds to the body of scientific knowledge about Alexandrium bloom dynamics in coastal, fjord systems, provide early-warning information about toxic bloom development and help focus future paralytic shellfish poisoning testing and harmful algal bloom monitoring efforts in Southeast Alaska. Second, the application of novel in situ sensors will overcome previous benthic emergence monitoring challenges and has the potential to improve harmful algal bloom forecasting capabilities. Third, human dimensions research will generate critical information about how social systems can reduce vulnerability to harmful algal blooms and how local/traditional knowledge can support scientific efforts by establishing strong community partnerships.
The SEES Fellow, Dr. Elizabeth Tobin, works with host mentor Dr. Ginny Eckert at the University of Alaska Fairbanks, and with partner mentor Dr. Thomas Leschine at the University of Washington.
Funding Source | Award |
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NSF Divsion of Integrative and Collaborative Education and Research (NSF ICER) |