Flow Cytometry data from the R/V TINRO, NOAA Bell M. Shimada and CCGS Sir John Franklin during the 2022 International Year of the Salmon Pan-Pacific Winter High Seas Expedition

Phytoplankton community composition and size structure vary considerably between oligotrophic and eutrophic regions (areas of low or high macro and micronutrients (e.g., iron)) (Hill et al., 2005; Martin et al., 1989; Strom et al., 2006; 2016), between surface and subsurface depths (Hill et al., 2005), and with season (Moran et al., 2012) and climatic conditions (Batten et al., 2021). Phytoplankton represent the base of the food web providing energy for zooplankton, which in turn support the growth of juvenile and adult salmon populations. Certain phytoplankton, like many diatom species, are particularly important food items in the GOA (Odate, 1996, Strom et al., 2007). We aim to broaden understanding of phytoplankton dynamics in the GOA/NPO by investigating spatial and temporal patterns in community structure and biomass and exploring environmental (physics and nutrients) drivers of taxonomic variability that may lead to variation in the quality of phytoplankton biomass available to primary consumers during winter. The spatial variations in phytoplankton biomass, and taxa and community size structure were characterized through measurements of total chla, flow cytometry, and HPLC (analyzed by Canadian PIs Konik, Costa) collected at all IYS stations. In zone 4 (US Ship Shimada) flow cytometry samples were collected from 5, 25, and 50 m for assessment of microbial community cell sizes (Moran et al. 2012), and HPLC samples from 5 m for assessment of phytoplankton functional groups; both data sets will be used to help ground-truth the information obtained from the satellite ocean color measurements. Flow cytometry and HPLC samples were also collected at 5 m depths in zone 5 (on Canadian ship Franklin) and in zones 2-3 (on Russian ship TINRO), so we have samples over the entire area surveyed. The flow cytometry analysis deliverables include tabulated counts (cells/ml) and estimated carbon content (C/cell and C/population) for the following 4 phytoplankton pico- and nanoplankton: Synechococcus, Cryptophytes, picoeukaryotes, nanoeukaryotes (excluding Cryptophytes). Water samples for total chlorophyll a (Chla), were collected from Niskin bottles at six depths (5, 25, 50, 75, 100, 150 m) at all stations surveyed.

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Licence: Creative Commons Attribution 4.0

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Citation

Keywords

Dataset extent

Map data © OpenStreetMap contributors

Metadata Reference Date(s) August 16, 2022 (Publication)
September 08, 2022 (Revision)
Dataset Reference Date(s) February 05, 2022 (Creation)
Frequency of Update As Needed

Responsible Party 1
Name
Eisner, Lisa B.
Affiliation
National Oceanic and Atmospheric Administration
Email
lisa.eisner@noaa.gov
Role
  • Author
  • Custodian
  • Owner
  • Principal Investigator
Responsible Party 2
Name
Lomas, Mike W.
Affiliation
Bigelow Laboratory for Ocean Sciences
Email
mlomas@bigelow.org
Role
  • Author
  • Processor
Responsible Party 3
Affiliation
North Pacific Anadromous Fish Commission
Role
Publisher
Responsible Party 4
Affiliation
Hakai Institute
Role
Distributor

Field Value
Title Flow Cytometry data from the R/V TINRO, NOAA Bell M. Shimada and CCGS Sir John Franklin during the 2022 International Year of the Salmon Pan-Pacific Winter High Seas Expedition
Description

Phytoplankton community composition and size structure vary considerably between oligotrophic and eutrophic regions (areas of low or high macro and micronutrients (e.g., iron)) (Hill et al., 2005; Martin et al., 1989; Strom et al., 2006; 2016), between surface and subsurface depths (Hill et al., 2005), and with season (Moran et al., 2012) and climatic conditions (Batten et al., 2021). Phytoplankton represent the base of the food web providing energy for zooplankton, which in turn support the growth of juvenile and adult salmon populations. Certain phytoplankton, like many diatom species, are particularly important food items in the GOA (Odate, 1996, Strom et al., 2007). We aim to broaden understanding of phytoplankton dynamics in the GOA/NPO by investigating spatial and temporal patterns in community structure and biomass and exploring environmental (physics and nutrients) drivers of taxonomic variability that may lead to variation in the quality of phytoplankton biomass available to primary consumers during winter. The spatial variations in phytoplankton biomass, and taxa and community size structure were characterized through measurements of total chla, flow cytometry, and HPLC (analyzed by Canadian PIs Konik, Costa) collected at all IYS stations. In zone 4 (US Ship Shimada) flow cytometry samples were collected from 5, 25, and 50 m for assessment of microbial community cell sizes (Moran et al. 2012), and HPLC samples from 5 m for assessment of phytoplankton functional groups; both data sets will be used to help ground-truth the information obtained from the satellite ocean color measurements. Flow cytometry and HPLC samples were also collected at 5 m depths in zone 5 (on Canadian ship Franklin) and in zones 2-3 (on Russian ship TINRO), so we have samples over the entire area surveyed. The flow cytometry analysis deliverables include tabulated counts (cells/ml) and estimated carbon content (C/cell and C/population) for the following 4 phytoplankton pico- and nanoplankton: Synechococcus, Cryptophytes, picoeukaryotes, nanoeukaryotes (excluding Cryptophytes). Water samples for total chlorophyll a (Chla), were collected from Niskin bottles at six depths (5, 25, 50, 75, 100, 150 m) at all stations surveyed.

Keywords
Ocean Variables
  • Phytoplankton biomass and diversity
  • Other
Citation

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Scope Dataset
Status Completed
Metadata Dates
Metadata Date 1
Date
2022-08-16
Type
Publication
Metadata Date 2
Date
2022-09-08
Type
Revision
Resource Dates
Resource Date 1
Date
2022-02-05
Type
Creation
Maintenance and update frequency As Needed
Maintenance Note Generated from https://cioos-siooc.github.io/metadata-entry-form
Point of Contact
Point of Contact 1
Affiliation
Hakai Institute
Role
Distributor
Responsible Party
Responsible Party 1
Name
Eisner, Lisa B.
Affiliation
National Oceanic and Atmospheric Administration
Email
lisa.eisner@noaa.gov
Role
  • Author
  • Custodian
  • Owner
  • Principal Investigator
Responsible Party 2
Name
Lomas, Mike W.
Affiliation
Bigelow Laboratory for Ocean Sciences
Email
mlomas@bigelow.org
Role
  • Author
  • Processor
Responsible Party 3
Affiliation
North Pacific Anadromous Fish Commission
Role
Publisher
Distributor
Distributor 1
Affiliation
Hakai Institute
Role
Distributor
Spatial Extent { "coordinates": [ [ [ -172.628, 44.996 ], [ -126.401, 44.996 ], [ -126.401, 58.009 ], [ -172.628, 58.009 ], [ -172.628, 44.996 ] ] ], "type": "Polygon" }
North Bounding Latitude 58.009
South Bounding Latitude 44.996
East Bounding Longitude -126.401
West Bounding Longitude -172.628
Temporal Extent
Begin
2022-02-05
End
2022-03-20
Vertical Extent
Min
0.0
Max
5.0
Default Locale English
Citation identifier
Code
10.21966/j26w-by50
XML Metadata File Location https://pac-dev1.cioos.org/dev/metadata/iys/flow_cytometry_data_from_the_r_e6cfc.xml
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</cit:contactInfo> <cit:individual> <cit:CI_Individual> <cit:name> <gco:CharacterString>Lomas, Mike W.</gco:CharacterString> </cit:name> <cit:contactInfo> <cit:CI_Contact> <cit:address> <cit:CI_Address> <cit:deliveryPoint> <gco:CharacterString></gco:CharacterString> </cit:deliveryPoint> <cit:city> <gco:CharacterString></gco:CharacterString> </cit:city> <cit:country> <gco:CharacterString></gco:CharacterString> </cit:country> <cit:electronicMailAddress> <gco:CharacterString>mlomas@bigelow.org</gco:CharacterString> </cit:electronicMailAddress> </cit:CI_Address> </cit:address> </cit:CI_Contact> </cit:contactInfo> <cit:positionName> <gco:CharacterString>Marine Biogeochemist</gco:CharacterString> </cit:positionName> </cit:CI_Individual> </cit:individual> </cit:CI_Organisation> </cit:party> </cit:CI_Responsibility> </cit:citedResponsibleParty> <cit:citedResponsibleParty> <cit:CI_Responsibility> <cit:role> <cit:CI_RoleCode 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<gco:CharacterString></gco:CharacterString> </cit:linkage> <cit:protocol> <gco:CharacterString>WWW:LINK</gco:CharacterString> </cit:protocol> <cit:function> <cit:CI_OnLineFunctionCode codeList="https://standards.iso.org/iso/19115/resources/Codelists/cat/codelists.xml#CI_OnLineFunctionCode" codeListValue="information"></cit:CI_OnLineFunctionCode> </cit:function> </cit:CI_OnlineResource> </cit:onlineResource> </cit:CI_Contact> </cit:contactInfo> </cit:CI_Organisation> </cit:party> </cit:CI_Responsibility> </cit:citedResponsibleParty> </cit:CI_Citation> </mri:citation> <mri:abstract xsi:type="lan:PT_FreeText_PropertyType"> <gco:CharacterString>Phytoplankton community composition and size structure vary considerably between oligotrophic and eutrophic regions (areas of low or high macro and micronutrients (e.g., iron)) (Hill et al., 2005; Martin et al., 1989; Strom et al., 2006; 2016), between surface and subsurface depths (Hill et al., 2005), and with season (Moran et al., 2012) and climatic conditions (Batten et al., 2021). Phytoplankton represent the base of the food web providing energy for zooplankton, which in turn support the growth of juvenile and adult salmon populations. Certain phytoplankton, like many diatom species, are particularly important food items in the GOA (Odate, 1996, Strom et al., 2007). We aim to broaden understanding of phytoplankton dynamics in the GOA/NPO by investigating spatial and temporal patterns in community structure and biomass and exploring environmental (physics and nutrients) drivers of taxonomic variability that may lead to variation in the quality of phytoplankton biomass available to primary consumers during winter. The spatial variations in phytoplankton biomass, and taxa and community size structure were characterized through measurements of total chla, flow cytometry, and HPLC (analyzed by Canadian PIs Konik, Costa) collected at all IYS stations. In zone 4 (US Ship Shimada) flow cytometry samples were collected from 5, 25, and 50 m for assessment of microbial community cell sizes (Moran et al. 2012), and HPLC samples from 5 m for assessment of phytoplankton functional groups; both data sets will be used to help ground-truth the information obtained from the satellite ocean color measurements. Flow cytometry and HPLC samples were also collected at 5 m depths in zone 5 (on Canadian ship Franklin) and in zones 2-3 (on Russian ship TINRO), so we have samples over the entire area surveyed. The flow cytometry analysis deliverables include tabulated counts (cells/ml) and estimated carbon content (C/cell and C/population) for the following 4 phytoplankton pico- and nanoplankton: Synechococcus, Cryptophytes, picoeukaryotes, nanoeukaryotes (excluding Cryptophytes). Water samples for total chlorophyll a (Chla), were collected from Niskin bottles at six depths (5, 25, 50, 75, 100, 150 m) at all stations surveyed.</gco:CharacterString> <lan:PT_FreeText> <lan:textGroup> <lan:LocalisedCharacterString locale="#fr">La composition de la communauté phytoplanctonique et la structure de la taille varient considérablement entre les régions oligotrophes et eutrophes (zones de macro et de micronutriments faibles ou élevés (p. ex. fer)) (Hill et al., 2005 ; Martin et al., 1989 ; Strom et al., 2006 ; 2016), entre les profondeurs de la surface et du sous-sol (Hill et al., 2005), et avec saison (Moran et al., 2012) et conditions climatiques (Batten et al., 2021). Le phytoplancton représente la base du réseau trophique fournissant de l&#39;énergie au zooplancton, qui à son tour soutient la croissance des populations de saumons juvéniles et adultes. Certains phytoplanctons, comme de nombreuses espèces de diatomées, sont des produits alimentaires particulièrement importants dans le GOA (Odate, 1996, Strom et al., 2007). Nous visons à élargir la compréhension de la dynamique du phytoplancton dans le GOA/NPO en étudiant les modèles spatiaux et temporels de la structure des communautés et de la biomasse et en explorant les facteurs environnementaux (physique et nutriments) de la variabilité taxonomique qui peuvent entraîner une variation de la qualité de la biomasse du phytoplancton disponible pour les consommateurs primaires pendant l&#39;hiver. Les variations spatiales de la biomasse du phytoplancton et de la structure de la taille des taxons et des communautés ont été caractérisées par des mesures du chla total, de la cytométrie en flux et de la CLHP (analysées par le chercheur principal canadien Konik, Costa) recueillies à toutes les stations de l&#39;IYS. Dans la zone 4 (navire américain Shimada), des échantillons de cytométrie en flux ont été prélevés à 5, 25 et 50 m pour l&#39;évaluation de la taille des cellules de la communauté microbienne (Moran et al. 2012), et des échantillons HPLC à 5 m pour l&#39;évaluation des groupes fonctionnels du phytoplancton ; les deux ensembles de données seront utilisés pour aider à vérifier au sol les informations obtenues auprès de les mesures de couleur de l&#39;océan par satellite. Des échantillons de cytométrie en flux et de CLHP ont également été prélevés à 5 m de profondeur dans la zone 5 (sur le navire canadien Franklin) et dans les zones 2-3 (sur le navire russe TINRO), de sorte que nous avons des échantillons sur toute la zone étudiée. Les produits livrables de l&#39;analyse par cytométrie en flux comprennent les comptes tabulés (cellules/ml) et la teneur estimée en carbone (C/cellule et C/population) pour les 4 pico- et nanoplancton phytoplanctoniques suivants : Synechococcus, Cryptophytes, picoeucaryotes, nanoeucaryotes (à l&#39;exclusion des Cryptophytes). Des échantillons d&#39;eau pour la chlorophylle a totale (Chla) ont été prélevés dans des bouteilles Niskin à six profondeurs (5, 25, 50, 75, 100, 150 m) à toutes les stations étudiées.</lan:LocalisedCharacterString> </lan:textGroup> </lan:PT_FreeText> </mri:abstract> <mri:credit> <gco:CharacterString></gco:CharacterString> </mri:credit> <mri:status> <mcc:MD_ProgressCode codeList="http://standards.iso.org/iso/19115/resources/Codelists/cat/codelists.xml#MD_ProgressCode" codeListValue="completed"></mcc:MD_ProgressCode> </mri:status> <mri:topicCategory> <mri:MD_TopicCategoryCode>oceans</mri:MD_TopicCategoryCode> </mri:topicCategory> <mri:extent> <gex:EX_Extent> <gex:geographicElement> <gex:EX_GeographicBoundingBox> <gex:extentTypeCode> <gco:Boolean>true</gco:Boolean> </gex:extentTypeCode> <gex:westBoundLongitude> <gco:Decimal>-172.628</gco:Decimal> </gex:westBoundLongitude> <gex:eastBoundLongitude> <gco:Decimal>-126.401</gco:Decimal> </gex:eastBoundLongitude> <gex:southBoundLatitude> <gco:Decimal>44.996</gco:Decimal> </gex:southBoundLatitude> <gex:northBoundLatitude> <gco:Decimal>58.009</gco:Decimal> </gex:northBoundLatitude> </gex:EX_GeographicBoundingBox> </gex:geographicElement> </gex:EX_Extent> </mri:extent> <mri:extent> <gex:EX_Extent> <gex:verticalElement> <gex:EX_VerticalExtent> <gex:minimumValue> <gco:Real>0.0</gco:Real> </gex:minimumValue> <gex:maximumValue> <gco:Real>5.0</gco:Real> </gex:maximumValue> <gex:verticalCRSId> <mrs:MD_ReferenceSystem> <mrs:referenceSystemIdentifier> <mcc:MD_Identifier> <mcc:code> <gco:CharacterString>5831</gco:CharacterString> </mcc:code> <mcc:codeSpace> <gco:CharacterString>EPSG</gco:CharacterString> </mcc:codeSpace> <mcc:version> <gco:CharacterString>2012-08-10</gco:CharacterString> </mcc:version> <mcc:description> <gco:CharacterString>EPSG::5831 - Instantaneous Water Level depth - Depth relative to instantaneous water level uncorrected for tide. 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