Phytoplankton abudance and physical environmental data from off the coast of Juneau, Alaska from 2015-2016 (SEAK-AHAB project)

Website: https://www.bco-dmo.org/dataset/660429
Data Type: Other Field Results
Version: 1
Version Date: 2016-09-30

Project
» Enhancing Sustainability of Shellfish Harvest in Alaska: Addressing the Ecology of Alexandrium Blooms and their Sociocultural Impacts (SEAK-AHAB)
ContributorsAffiliationRole
Tobin, Elizabeth D.University of Alaska Fairbanks (UAF-Juneau)Principal Investigator
Ake, HannahWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager
Biddle, MathewWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Phytoplankton abudance and physical environmental data from off the coast of Juneau, Alaska from 2015-2016 (SEAK-AHAB project)


Coverage

Spatial Extent: N:58.538 E:-134.6499 S:58.3733 W:-134.8454
Temporal Extent: 2015-01-14 - 2016-12-15

Dataset Description

Phytoplankton data and associated environmental conditions collected from net tows approximately weekly from four phytoplankton monitoring sites in Juneau, AK in 2015 and 2016.


Methods & Sampling

Phytoplankton Data:

Dock and beach-based phytoplankton net tow (Sea Gear, 8” diameter, 20um mesh) samples were collected at approximately weekly intervals at four phytoplankton sampling stations; Auke Bay, Amalga, Eagle Beach and Auke Rec in Juneau, AK. Surface net tow durations were 3 minutes.  

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. 


Data Processing Description

Net tow samples were counted the same day as collection using a NEOSCI-ruled microscope slide with an 8×8 square grid to estimate relative abudance.

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.


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Data Files

File
phyto_net_data.csv
(Comma Separated Values (.csv), 51.00 KB)
MD5:339aab1928c4790aa7242bce8331f2eb
Primary data file for dataset ID 660429

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Parameters

ParameterDescriptionUnits
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

Qualitative cell counts of relative abundance

count
diatoms

Qualitative cell counts of relative abundance

count
Alexandrium_sp

Qualitative cell counts of relative abundance

count
ISO_DateTime_Local

DateTime local; YYYY-mm-dd HH:MM

unitless
year

Four digit year sample was taken; YYYY

unitless


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Instruments

Dataset-specific Instrument Name
Sea Gear
Generic Instrument Name
Plankton Net
Dataset-specific Description
Sea Gear 8" diameter 20um mesh
Generic Instrument Description
A Plankton Net is a generic term for a sampling net that is used to collect plankton. It is used only when detailed instrument documentation is not available.

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.


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Deployments

Tobin_2015_2016

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.


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Project Information

Enhancing Sustainability of Shellfish Harvest in Alaska: Addressing the Ecology of Alexandrium Blooms and their Sociocultural Impacts (SEAK-AHAB)

Coverage: Southeast Alaska; 58 N, 134 W


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.



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Funding

Funding SourceAward
NSF Divsion of Integrative and Collaborative Education and Research (NSF ICER)

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