High performance liquid chromatography phytoplankton pigment timeseries for the northern Salish Sea and central coast, British Columbia

10.21966/bw2d-tg65

High performance liquid chromatography (HPLC) is a method that quantifies concentrations of phytoplankton pigments from bulk water samples. Phytoplankton species groupings (i.e. diatoms, dinoflagellates, etc.) typically contain different pigments, and concentrations of pigments, used for photosynthesis. These differences make it possible to use statistical methods (e.g. chemotaxonomic analysis, CHEMTAX) to estimate phytoplankton group-level biomass contributions within a bulk water sample. These methods provide unique and valuable insight into phytoplankton community dynamics as they quantify the full phytoplankton size-spectrum, are relatively fast and cost-effective and, are directly relatable to remote sensing (i.e. pigments drive differences in light measured by satellites). Furthermore, HPLC is considered the gold-standard for quantifying phytoplankton total chlorophyll a concentrations (TChla, proxy for bulk phytoplankton biomass) required for satellite remote sensing validation.

The Hakai institute has been collecting HPLC samples in the northern Salish Sea (NSS) at the QU39 long-term ecological research (LTER) station and at various stations on the central coast of British Columbia since 2015. These data are used to monitor phytoplankton group level dynamics, build knowledge of different environmental conditions driving their variability (Del Bel Belluz et al., 2021), investigate linkages to the food web and carbonate system, evaluate long-term change and, to build regional remote sensing models (Vishnu et al., 2022). Data from station QU39 within the NSS are collected weekly and from 2015-2019 at 5m depth and afterwards at 0, 5, 10 and 20m depth. On the central coast of British Columbia, data are collected monthly at 5m depth.

Samples are analyzed at the University of South Carolina Baruch Institute for Marine and Coastal Sciences using the USC method. This method was evaluated and is detailed in the NASA Fourth SeaWiFS HPLC Analysis Round-Robin Experiment (SeaHARRE-4, Hooker et al., 2010).

Phytoplankton form the base of the marine food web and play key roles in biogeochemical cycling and carbon sequestration. The high turnover rates of phytoplankton species make them ideal sentinels of environmental change as they quickly respond to perturbations; however, a paucity of data, notably in terms of community composition, exists across coastal systems hindering the derivation of baseline conditions to assess change. This knowledge gap is especially pertinent when considering that coastal regions are experiencing rapid climate-driven change including increased temperature and acidification, reduced oxygen and altered freshwater dynamics. The synergy of these influences has the potential to alter phytoplankton community and size structure having large downstream implications on ecosystem resiliency, food production and climate regulation.

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Licence: Creative Commons Attribution 4.0
Limitations: Care should be taken when using HPLC phytoplankton pigment concentrations for community based analysis. Species within different phytoplankton groupings can show comparable pigment profiles or variable presence/absence of marker pigments. Pigment concentrations can also vary as a result of environmental conditions (light, nutrients, etc.). In addition, small cryptic species with similar pigment profiles as broader groupings are often not separated and are included in the biomass of the most similar grouping. Furthermore, endosymbiosis can result in mixotrophic grazers displaying pigment profiles of their endosymbiont (i.e. cryptophyte pigments within the ciliate Mesodinium rubrum). These issues can result in misclassifications or error when using chemotaxonomic and other pigment based methods. Strong knowledge of expected phytoplankton species is required prior to analysis and outputs are meant to represent broad trends in phytoplankton species composition.

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Dataset extent

Metadata Reference Date(s) December 11, 2024 (Publication)
December 11, 2024 (Revision)
Data Reference Date(s) February 18, 2015 (Creation)
August 26, 2024 (Publication)
Frequency of Update As Needed

Responsible Party 1
Name
Del Bel Belluz, Justin ORCID logo
Affiliation
Hakai Institute ROR logo
Email
justin.belluz@hakai.org
Role
  • Author
  • Custodian
  • Originator
  • Point of Contact
  • Principal Investigator
  • Editor
Responsible Party 2
Name
Jordison, Drew ORCID logo
Affiliation
Hakai Institute ROR logo
Email
drew.jordison@hakai.org
Role
  • Custodian
  • Point of Contact
  • Contributor
Responsible Party 3
Name
Evans, Wiley ORCID logo
Affiliation
Hakai Institute ROR logo
Email
wiley.evans@hakai.org
Role
  • Custodian
  • Principal Investigator
Responsible Party 4
Affiliation
Hakai Institute ROR logo
Email
data@hakai.org
Role
  • Distributor
  • Owner
  • Publisher
Responsible Party 5
Affiliation
Tula Foundation ROR logo
Role
Funder

Field Value
Ocean Variables Phytoplankton biomass and diversity
Scope Dataset
Status On Going
Topic Category oceans
Maintenance Note Generated from https://hakaiinstitute.github.io/hakai-metadata-entry-form#/en/hakai/7U7b8oPpeTN6gjvXlUCTGJr5pga2/-O25qzW3OpioeACGpRHl
Spatial Extent { "coordinates": [ [ [ -128.5, 52.27 ], [ -127.4, 52.21 ], [ -127.2, 51.66 ], [ -125.6, 51.13 ], [ -124.8, 50.96 ], [ -124.1, 50.43 ], [ -124.7, 49.98 ], [ -124.9, 49.8 ], [ -126.7, 50.45 ], [ -128.1, 51.37 ], [ -128.4, 51.69 ], [ -128.5, 52.27 ] ] ], "type": "Polygon" }
North Bounding Latitude 49.8
South Bounding Latitude 52.27
East Bounding Longitude -124.1
West Bounding Longitude -128.5
Temporal Extent
Begin
2015-02-18
Vertical Extent
Min
0.0
Max
30.0
Default Locale English
Citation identifier
Code
https://doi.org/10.21966/bw2d-tg65
Projects
  1. Oceanography
Included in Data Catalogue
Included in Data Catalogue 1
Name
Hakai Data Catalogue
Description
Science on the Coastal Margin
URL
https://catalogue.hakai.org