Protistan plankton time series and spatial data from the Salish Sea and central coast, British Columbia, Canada

10.21966/jv5k-3k59

The Hakai Institute Oceanography Program monitored protistan plankton community composition, via optical microscopy, at multiple time series and spatial survey stations across the northern Salish Sea (Strait of Georgia) and central coast, and within False Creek, British Columbia from 2016 - 2025.

Water samples were collected using a Niskin bottle from small research vessels (less than 40 ft). Sample water was transferred into 250 mL amber glass bottles and immediately fixed using Lugol's acid-iodine solution (1% concentration) (Edler & Elbrächter 2010; Del Bel Belluz et al., 2021). Samples were kept cool and stored in a dark fridge until analysis was performed at LCLJ Marine Ecological Services in Victoria, BC, by Dr. Louis Hobson. Protistan plankton were enumerated following the Utermöhl method (Utermöhl, 1931; Edler & Elbrächter 2010) using 50 mL settling chambers and phase contrast microscopy on an inverted light microscope (Hobson & Galbraith, 2018). The analysis targets autotrophic protists, but includes all visible taxa including mixotrophic and heterotrophic microzooplankton species. In addition, harmful algae species are enumerated. The analyst is generally able to resolve species as small as 4 um and taxa are classified to the lowest taxonomic level usually to genus or species. Results are provided as abundance of species in cells/L.

These data are published on the Ocean Biodiversity Information System (OBIS) following the required Darwin Core biodiversity data standards (https://manual.obis.org/). In accordance with these standards, taxa name (scientificName) represent the currently accepted name on the World Register of Marine Species (WoRMs). Data are freely available for download from OBIS at https://ipt.iobis.org/obiscanada/resource?r=hakai_protistan_plankton_qu39&v=1.5 and from the Global Biodiversity Information Facility at https://doi.org/10.15468/q748tc.

These data were maintained to characterize and monitor phytoplankton community composition, including abundances of harmful species, and investigate links to environmental drivers, the food web and carbon dynamics. Additionally, data were used to support group level phytoplankton composition derived via HPLC phytoplankton pigment analysis, particulate organic matter fatty acid analysis, molecular methods (eDNA) and to validate remote sensing products.

In the northern Salish Sea, portions of the station QU39 time series were published in Del Bel Belluz et al. (2021) and Mclaskey et al. (2022). On the central coast, data were used to investigate trends and drivers of protistan plankton communities across a fjord to shelf gradient (Del Bel Belluz et al., 2024).

Phytoplankton form the base of the marine food web and drive marine biogeochemical cycling. These species have high turnover rates and quickly respond to environmental perturbation. As a result they are valuable indicators of ecological change. High temporal resolution long term time series are invaluable for investigating dynamic coastal waters with highly variable protistan plankton communities.

Access and Use

Licence: Creative Commons Attribution 4.0
Limitations: Optical microscopy is skewed towards larger protistan plankton species and is not able to resolve pico-plankton (< 3um), which are often dominant in the northern Salish Sea. The use of acidic Lugol’s solution removes CaCO3 containing cells (i.e. coccolithophores) and these species were not enumerated. Some samples, particularly those from the beginning of the time series, were stored for up to 2-3 years prior to analysis. The analyst did not see signs of weakened preservative or cell degradation, but storage time should be considered as degradation can bias results (Williams et al., 2016).

Data and Resources

Citation

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Dataset extent

Metadata Reference Date(s) October 10, 2024 (Publication)
October 08, 2026 (Revision)
Data Reference Date(s) February 23, 2016 (Creation)
June 21, 2021 (Publication)
October 02, 2026 (Revision)
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
  • Originator
Responsible Party 2
Name
Evans, Wiley ORCID logo
Affiliation
Hakai Institute ROR logo
Email
wiley.evans@hakai.org
Role
  • Custodian
  • Principal Investigator
Responsible Party 3
Name
Jordison, Drew ORCID logo
Affiliation
Hakai Institute ROR logo
Email
drew.jordison@hakai.org
Role
  • Custodian
  • Point of Contact
  • Contributor
Responsible Party 4
Affiliation
Hakai Institute ROR logo
Email
data@hakai.org
Role
  • Distributor
  • Owner
  • Publisher
Responsible Party 5
Name
van der Stap, Tim ORCID logo
Affiliation
Hakai Institute ROR logo
Email
tim.vanderstap@hakai.org
Role
Custodian
Responsible Party 6
Affiliation
Tula Foundation ROR logo
Role
Funder

Field Value
Ocean Variables Phytoplankton biomass and diversity
Scope Dataset
Status Completed
Topic Category oceans
Maintenance Note Generated from https://hakaiinstitute.github.io/hakai-metadata-entry-form#/en/hakai/7U7b8oPpeTN6gjvXlUCTGJr5pga2/-Nh8VlPQ_m681tso87Gd
Spatial Extent { "coordinates": [ [ [ -123.1, 52.483 ], [ -128.54, 52.483 ], [ -128.54, 49.25 ], [ -123.1, 49.25 ], [ -123.1, 52.483 ] ] ], "type": "Polygon" }
North Bounding Latitude 49.25
South Bounding Latitude 52.483
East Bounding Longitude -128.54
West Bounding Longitude -123.1
Temporal Extent
Begin
2016-02-23
End
2025-12-18
Vertical Extent
Min
1.0
Max
21.0
Default Locale English
Citation identifier
Code
https://doi.org/10.21966/jv5k-3k59
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