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Phytoplankton identification and biovolume data for field samples from Detroit Lake, Oregon, collected in August 2019 and August 2020

Metadata Updated: October 1, 2025

This dataset contains taxonomic and biovolume data for phytoplankton sampled from Detroit Lake, OR, in August, 2019, and August, 2020. Taxonomy is reported to the lowest possible taxonomic level along with total and percent biovolume. Surface grab samples for phytoplankton enumeration were collected with a van Dorn type sampler and then transferred into a clearn polycarbonate churn. Whole water samples were dispensed for total nutrients and phytoplankton identification and enumeration, the latter preserved with 1 percent Lugol's iodine solution.
Samples were analyzed at BSA Environmental Services in Beachwood, Ohio. Cell numbers of all identified phytoplankton taxa were quantified on a per milliliter basis using the Utermohl method (Lund et al. 1958). Samples were thoroughly mixed prior to settling an aliquot to ensure that the organisms were evenly distributed. Various aliquots were measured and delivered into custom Utermohl chambers and the organisms allowed to settle in darkness undisturbed for at least 20 hours within an enclosure protected from vibration and temperature alteration (Burkholder and Wetzel 1989). Counts were performed on a LEICA DMiL at 800X or 1260X. Scans at multiple magnifications were conducted and the abundance of common taxa estimated by random field counts. At least 300 natural units (colonies, filaments, unicells) or 50 random fields were enumerated to the lowest possible taxonomic level from each sample. Cell biovolumes were estimated using formulae for solid geometric shapes that most closely match the cell shape (Hillebrand et al., 1999), based on measurements of 10 organisms per taxon for each sample where possible. These monitoring data were collected as part of the City of Salem's source water protection program that includes several sites within Detroit Lake and sites downstream in the North Santiam River down to Salem's Geren Island Drinking Water Treatment Plant. These data can be used to understand which phytoplankton taxa are dominant and a measure of their biomass (biovolume). These data also may be used to trigger sampling for cyanotoxins. REFERENCES: Burkholder, J.M. and R.G. Wetzel. 1989. Epiphytic microalgae on natural substrata in REFERENCES a hardwater lake: seasonal dynamics of community structure, biomass and ATP content. Arch. Hydrobiol., Suppl. 83:1-56. Hillebrand, H., C.D. Dürselen, D. Kirschtel, U. Pollingher, and T. Zohary. 1999. Biovolume calculation for pelagic and benthic microalgae. Journal of Phycology. 35: 403-424. Lund, J.W.G., C. Kipling and E.D. LeCren. 1958. The inverted microscope method of estimating algal numbers and the statistical basis of estimates by counting. Hydrobiologia 11:143-170.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date September 12, 2025
Metadata Updated Date October 1, 2025

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date September 12, 2025
Metadata Updated Date October 1, 2025
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/usgs-618051bfd34e9f2789e0a7f7
Data Last Modified 2022-01-04T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 373c17c1-c744-4d2f-aef8-32f24db5d79f
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial -122.28000, 44.67000, -122.11000, 44.75000
Source Datajson Identifier True
Source Hash ba3e042ae385321923f6ec677c9068ff96dd17ff7aa35521cb4e5ab2c30c06be
Source Schema Version 1.1
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