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First audit of macroinvertebrate samples from an EU Water Framework Directive monitoring program: human error greatly lowers precision of assessment results
Open accessAbstract
Invertebrates are often used in biological monitoring of soil and water ecosystems. Because of the huge number of invertebrate species, sample processing (sorting and identification) is a labor-intensive and often difficult task that is prone to error. These errors can bias assessment results, which often are used by environmental managers to guide funding decisions for costly restoration measures. However, quality control of assessment results is not implemented in many freshwater monitoring programs. We conducted the first audit of an official European freshwater monitoring program based on 414 macroinvertebrate samples from streams and rivers in Germany. The samples were collected by personnel at 7 different commercial environmental laboratories using the European Union (EU) Water Framework Directive protocol. We audited 12% of all samples at 3 different levels: 1) a sorting audit, 2) an identification audit, and 3) a total audit based on both sorting and identification. The sorting audit revealed that 29% of the specimens and every 5th taxon (20.6%) had been overlooked by the primary analyst. Differences in sorting were correlated with taxon body size (r = 0.61, p < 0.001). The identification audit showed that >30% of taxa differed between the results of the primary analysts and auditors. Taxa considered difficult to identify were not more prone to error than were taxa considered easier to identify. Primary analysts and auditors assigned 34% of audited samples to different quality classes in ≥1 of 3 assessment modules (organic pollution, acidification, and general degradation). For 16% of the samples, these changes resulted in a different final ecological assessment. Such a high rate of differences between primary analysts and auditors could lead to ineffective allocation of several million Euros. Our results clearly illustrate the need for adequate quality control and auditing in freshwater monitoring.
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“many benthic invertebrate larvae are difficult to identify at the species level, and thus the most practical taxonomic level for the identification of these organisms is often only the genus or family [10].”
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“frequent identification errors occur and many specimens are not detected in samples [10]”
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“these limitations have direct consequences for the inferred ecosystem assessment metrics [10,14] and thus management decisions.”
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“While this is already better than the error rates of several morphology-based studies (see [10] for a discussion)”
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Metadata
- Authors
- Haase, P., Pauls, S. U., Schindehütte, K., & Sundermann, A.
- Affiliations
- Senckenberg, Research Institute and Natural History Museum, Department of Limnology and Conservation, Clamecy Strasse 12, 63571 Gelnhausen, Germany
- University of Minnesota (US)
- Venue
- Journal of the North American Benthological Society
- Publisher
- University of Chicago Press
- Published
- 2010-12
- Volume
- 29
- Issue
- 4
- Pages
- 1279-1291
- ISSN
- 0887-3593 (ISSN-L)
- 1937-237X
- OpenAlex
- W2115439841
- Cited by
- 119
- References
- 40
- Citations by year
- 2026: 8 · 2025: 9 · 2024: 10 · 2023: 4 · 2022: 6 · 2021: 11 · 2020: 9 · 2019: 15 · 2018: 10 · 2017: 10 · 2016: 10 · 2015: 7 · 2014: 2 · 2013: 3 · 2012: 2
- FWCI
- 2.32
- Type
- journal article
- Language
- en
- Open access
- green
- www.bioone.org
- Locations
- Journal of the North American Benthological Society (publishedVersion)
- BioOne Complete (BioOne) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Ecology › Freshwater macroinvertebrate diversity and ecology
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Invertebrate Taxonomy and Ecology
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Environmental Toxicology and Ecotoxicology
- Keywords
- macroinvertebrates, Water Framework Directive, freshwater monitoring, quality control, auditing, human error, taxonomic identification, ecological assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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