Evidence map›Paper›PMID 42550236›Full record

ArticleEnvironmental management2026

Assessing Seafloor Litter Classification: Lessons from an Online Proficiency Test.

Eirin Husabø, Briony Silburn, Thomas Maes, Lisa I Devriese, Francois Galgani, Ulrike Kammann, Noreen E Kelly, Christopher Kim Pham, Stephanie Lavelle, Fiona Preston-Whyte and 3 more

Abstract read
In one paragraph

Article in Environmental management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Eirin HusabøGRID-Arendal, Teaterplassen 3, 4836, Arendal, Norway. eirin.husabo@grida.no.ORCID http://orcid.org/0009-0007-2096-8712
Briony SilburnCentre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory, Pakefield Road, Lowestoft, Suffolk, NR33 0HT, England, United Kingdom of Great Britain and Northern Ireland.ORCID http://orcid.org/0000-0002-5537-0215
Thomas MaesGRID-Arendal, Teaterplassen 3, 4836, Arendal, Norway.ORCID http://orcid.org/0000-0002-1282-8871
Lisa I DevrieseFlanders Marine Institute (VLIZ), InnovOcean Campus, Jacobsenstraat 1, 8400, Oostende, Belgium.ORCID http://orcid.org/0000-0002-6996-6335
Francois GalganiInstitut Français de Recherche pour L'exploitation de La Mer (Ifremer), ZI Plouzané, Brest, France.ORCID http://orcid.org/0000-0001-8770-6054
Ulrike KammannThünen Institute of Fisheries Ecology, Herwigstraße 31, 27572, Bremerhaven, Germany.ORCID http://orcid.org/0000-0002-3738-148X
Noreen E KellyFisheries and Oceans Canada, Bedford Institute of Oceanography, 1 Challenger Drive, Dartmouth, NS, B2T 0H1, Canada.ORCID http://orcid.org/0000-0002-5432-5658
Christopher Kim PhamInstituto de Investigação em Ciências do Mar - OKEANOS, Universidade dos Açores, 9900-138, HORTA, Portugal.ORCID http://orcid.org/0000-0002-3556-0492
Stephanie LavelleGRID-Arendal, Teaterplassen 3, 4836, Arendal, Norway.ORCID http://orcid.org/0000-0003-1344-5589
Fiona Preston-WhyteGRID-Arendal, Teaterplassen 3, 4836, Arendal, Norway.ORCID http://orcid.org/0009-0008-8806-1495
Josie RussellCentre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory, Pakefield Road, Lowestoft, Suffolk, NR33 0HT, England, United Kingdom of Great Britain and Northern Ireland.ORCID http://orcid.org/0000-0003-1152-8495
Katja NorénDepartment of Aquatic Resources, Institute of Marine Research, Swedish University of Agricultural Sciences, Uppsala, Sweden.ORCID http://orcid.org/0009-0002-5432-5815
Bavo De WitteFlanders Research, Institute for Agriculture, Fisheries and Food, Animal Sciences Unit, Aquatic Environment and Quality, Jacobsenstraat 1, 8400, Oostende, Belgium.ORCID http://orcid.org/0000-0002-4982-6351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seafloor litter is an applied indicator for the assessment of marine pollution. Harmonized seafloor litter categorization is essential for quality assured assessments. This study aimed to assess the quality of seafloor litter classification and the effectiveness of the International Council for Exploration of the Sea (ICES) seafloor litter categorization guidelines through an online proficiency test. Participants classified pictures of seafloor litter from trawls based on the ICES manual and photo guide. The test identified correlations between users' experience and classification accuracy. Findings demonstrated participants had a good ability to classify seafloor litter items based on the guidelines with an average accuracy rate of 83%. Some items were misclassified, but these errors could not be linked to the experience of the participants. Misclassifications during the proficiency test could be related to the nature of the picture-based assessment, a lack of participant knowledge of seafloor litter, and/or a lack of clarity in classification guidelines. The results of the test can be used as part of quality assurance measures to strengthen monitoring guidelines, future data collection and improve our understanding of potential human error in seafloor litter datasets.

Indexed as

Environmental MonitoringMarine environmentMonitoringPlastic pollutionProficiency testQuality controlSeafloor litter

Identifiers

PMID42550236
PMCPMC13437660

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.