Evidence map›Paper›PMID 40567432›Full record

ArticleThe Journal of applied ecology2024

Reduced count size can provide a robust and more efficient diatom assessment of environmental conditions.

Luisa Riato, John L Stoddard, Alan T Herlihy, Karen A Blocksom

Abstract read
In one paragraph

Article in The Journal of applied ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Luisa RiatoPacific Ecological Systems Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Corvallis, Oregon, USA.
John L StoddardPacific Ecological Systems Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Corvallis, Oregon, USA.
Alan T HerlihyDepartment of Fisheries, Wildlife and Conservation Sciences, Oregon State University, Corvallis, Oregon, USA.
Karen A BlocksomPacific Ecological Systems Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Corvallis, Oregon, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

1. Bioassessment indices routinely used in freshwater assessments are calculated using enumeration methods that are often time-intensive. For diatom assessments that are mainly based on time consuming valve counts, little attention has been devoted to optimizing current counting methods, despite the need for cost-effective bioassessments and biomonitoring. 2. With a focus on count size sufficiency, we examined diatom samples from >3,000 rivers and streams across the U.S. to assess the effects of reducing the standard count size of 600 diatom valves on the recently published, genus-level, trait-based multimetric diatom indices (MMIs) and its component metrics. The diatom data were collected by the United States Environmental Protection Agency's National Rivers and Streams Assessment (NRSA). The MMIs, based on the NRSA data, were designed to assess river and stream ecological condition for three large ecoregions across the U.S. - East, Plains, and West. 3. We found that reducing the standard 600 valve count introduced variability in component metric values, especially for % taxa metrics, but the variability had little effect on the performance of the actual MMI. More than 90% of all subsamples from the Plains and East ecoregions, and over 80% of West subsamples, were placed in the same condition class regardless of whether a 600- or 100-count size was used. Moreover, the ability of each component metric and MMI to discriminate least- from most-disturbed sites remained the same at 100 valves as that obtained using 600 valves. 4.

Indexed as

BioassessmentBiomonitoringDiatomsEnumeration methodsIndexOptimal countRarefaction

Identifiers

PMID40567432
PMCPMC12186241

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.