Can DNA barcodes of stream macroinvertebrates improve descriptions of community structure and water quality?

Sweeney, Bernard W.; Battle, Juliann M.; Jackson, John K.; Dapkey, Tanya

doi:10.1899/10-016.1

Cited by 180Freshwater macroinvertebrate diversity and ecologyEnvironmental DNA in Biodiversity StudiesInvertebrate Taxonomy and Ecology

Can DNA barcodes of stream macroinvertebrates improve descriptions of community structure and water quality?

Sweeney, Bernard W., Battle, Juliann M., Jackson, John K., Dapkey, Tanya·2011·Journal of the North American Benthological Society

DOI 10.1899/10-016.1

Open this paper in CoChat — free account

Abstract

Four approaches to or levels of identifying macroinvertebrates (amateur/family, expert entomologist/genus, expert entomologist/genus–species, and DNA barcoding/species) were used to assess community structure and water quality in White Clay Creek, Pennsylvania, USA. Macroinvertebrates were collected in March 2008 from 2 riffle sites 3.9 km apart on the same stream. The downstream site was known to be degraded by land and water use. About 98% of the 1617 specimens used for analysis, including small, immature, and damaged specimens, were successfully barcoded (sequenced) for the mitochondrial cytochrome c oxidase subunit I gene. A criterion of 2 to 4% genetic divergence provided good separation of presumptive species. Barcodes increased the taxonomic inventory across the 2 sites by 475% (124 taxa) relative to the amateur level, and 125% (83 taxa) and 70% (62 taxa) relative to the expert genus and species levels, respectively. Barcoding revealed species not currently described in larval taxonomic keys, including multiple (2–11) coexisting congeneric species. That 150 species were revealed by barcoding samples collected on the same date and in the same habitat was unprecedented, as was the fact that 60 cm2 of stream bottom supported an average of 248 to 347 individuals representing 55 to 68 species. Most barcode species were rare, with 42% represented by ≤2 individuals. Across all species, 43 of 89 barcode species were unique to upstream site 11 and 60 of 107 were unique to downstream site 12. In terms of water-quality assessment, most of the 17 metrics studied changed significantly (α = 0.05) when taxonomy changed from family to genus–species (79% and 93% for sites 11 and 12, respectively), and many also changed when taxonomy changed from genus to species (59 and 65% for sites 11 and 12, respectively). The proportion of metrics able to detect a difference (α = 0.05) between sites 11 and 12 increased with improved taxonomic resolution (36, 47, 65, and 76% for family, genus, genus–species, and barcode, respectively). The results revealed a pollution-tolerance gap because barcoding pushed larval taxonomy beyond the available pollution-tolerance data. Regardless, the combined morphological and molecular approach provides a finer resolution for evaluating environmental change associated with both natural and anthropogenic processes. The ability to distinguish larvae at the species level through barcoding finally puts biodiversity assessments for aquatic communities in terms comparable to those used for terrestrial ecosystems where estimates of biodiversity for plants and animals are never quantified at the level of genus or family. We conclude that DNA barcodes of stream macroinvertebrates will improve descriptions of community structure and water quality for both ecological and bioassessment purposes.

Integrity signals

Registry

Crossref · 10.1899/10-016.1

Cites

70 of 70 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

DNA barcoding allows for standardized and accurate species identification.
“DNA barcoding allows for standardized and accurate species identification [15–18].”
From Can DNA-Based Ecosystem Assessments Quantify Species Abundance? Testing Primer Bias and Biomass—Sequence Relationships with an Innovative Metabarcoding Protocol (2015) · cites this paper as [18]

A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 49,574 · see citing works
MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0
Tamura, K., Dudley, J. T., Nei, M., & Kumar, S. (2007) · Molecular Biology and Evolution · doi:10.1093/molbev/msm092 · Cited by 28,734 · see citing works
DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates.
Folmer, O., Black, M., Hoeh, W., Lutz, R., & Vrijenhoek, R. (1994) · PubMed · doi:10.5281/zenodo.15145663 · Cited by 15,546 · see citing works
Measurement of Diversity
Simpson, E. (1949) · Nature · doi:10.1038/163688a0 · Cited by 14,328 · see citing works
Biological identifications through DNA barcodes
Hebert, P. D. N., Cywinska, A., Ball, S. L., & deWaard, J. R. (2003) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.2002.2218 · Cited by 13,376 · see citing works
The River Continuum Concept
Vannote, R. L., Minshall, G. W., Cummins, K. W., Sedell, J. R., & Cushing, C. E. (1980) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f80-017 · Cited by 9,984 · see citing works
Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness
Gotelli, N., & Colwell, R. K. (2001) · Ecology Letters · doi:10.1046/j.1461-0248.2001.00230.x · Cited by 6,529 · see citing works
Ten species in one: DNA barcoding reveals cryptic species in the neotropical skipper butterfly Astraptes fulgerator.
Hebert, P., Penton, E., Burns, J., Janzen, D., & Hallwachs, W. (2004) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.0406166101 · Cited by 3,737 · see citing works
Mathematical Theory of Communication
Dubitzky, W., Olaf Wolkenhauer, A., Cho, K.-H., & Yokota, H. (2013) · Springer eBooks · doi:10.1007/978-1-4419-9863-7_100015 · Cited by 3,291 · see citing works
Stream ecology: structure and function of running waters
(1995) · Choice Reviews Online · doi:10.5860/choice.33-0333 · Cited by 2,631 · see citing works
Transactions of the American Entomological Society
(2019) · Transactions of the American Entomological Society · doi:10.3157/taes · Cited by 1,705 · see citing works
An inexpensive, automation‐friendly protocol for recovering high‐quality DNA
Ivanova, N., deWaard, J. R., & Hebert, P. D. N. (2006) · Molecular Ecology Notes · doi:10.1111/j.1471-8286.2006.01428.x · Cited by 1,504 · see citing works
DNA barcodes distinguish species of tropical Lepidoptera
Hajibabaei, M., Janzen, D. H., Burns, J. M., Hallwachs, W., & Hebert, P. D. N. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510466103 · Cited by 1,440 · see citing works
Diversity, biotic and similarity indices
Washington, H. G. (1984) · Water Research · doi:10.1016/0043-1354(84)90164-7 · Cited by 853 · see citing works
Biological Parameters for Water Quality Criteria
Wilhm, J., & Dorris, T. C. (1968) · BioScience · doi:10.2307/1294272 · Cited by 629 · see citing works
Biology of Freshwater Chironomidae
Pinder, L. C. V. (1986) · Annual Review of Entomology · doi:10.1146/annurev.en.31.010186.000245 · Cited by 598 · see citing works
Biological water quality assessment of running waters based on macroinvertebrate communities: History and present status in Europe
Metcalfe, J. L. (1989) · Environmental Pollution · doi:10.1016/0269-7491(89)90223-6 · Cited by 550 · see citing works
Critical factors for assembling a high volume of DNA barcodes
Hajibabaei, M., deWaard, J. R., Ivanova, N. V., Ratnasingham, S., Dooh, R. T., Kirk, S. L., Mackie, P. M., & Hebert, P. D. N. (2005) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2005.1727 · Cited by 539 · see citing works
A Biotic Index for the Southeastern United States: Derivation and List of Tolerance Values, with Criteria for Assigning Water-Quality Ratings
Lenat, D. R. (1993) · Journal of the North American Benthological Society · doi:10.2307/1467463 · Cited by 478 · see citing works
On Ecological Fitting
Janzen, D. H. (1985) · Oikos · doi:10.2307/3565565 · Cited by 469 · see citing works
Stream ecology: structure and function of running waters
(2008) · Choice Reviews Online · doi:10.5860/choice.45-3803 · Cited by 446 · see citing works
Downstream effects of mountaintop coal mining: comparing biological conditions using family- and genus-level macroinvertebrate bioassessment tools
Pond, G. J., Passmore, M. E., Borsuk, F. A., Reynolds, L., & Rose, C. J. (2008) · Journal of the North American Benthological Society · doi:10.1899/08-015.1 · Cited by 439 · see citing works
Assessing Invertebrate Responses to Human Activities: Evaluating Alternative Approaches
Fore, L. S., Karr, J. R., & Wisseman, R. W. (1996) · Journal of the North American Benthological Society · doi:10.2307/1467949 · Cited by 414 · see citing works
Assembling DNA Barcodes
deWaard, J. R., Ivanova, N. V., Hajibabaei, M., & Hebert, P. D. N. (2008) · Methods in molecular biology · doi:10.1007/978-1-59745-548-0_15 · Cited by 393 · see citing works
Taxonomy and stream ecology—The benefits of genus- and species-level identifications
Lenat, D. R., & Resh, V. H. (2001) · Journal of the North American Benthological Society · doi:10.2307/1468323 · Cited by 385 · see citing works
THE BULLETIN OF THE ECOLOGICAL SOCIETY OF AMERICA
Solomon, A. M. (2004) · Bulletin of the Ecological Society of America · doi:10.1890/0012-9623(2004)85[173a:tbotes]2.0.co;2 · Cited by 343 · see citing works
“COI-like” Sequences Are Becoming Problematic in Molecular Systematic and DNA Barcoding Studies
Buhay, J. E. (2009) · Journal of Crustacean Biology · doi:10.1651/08-3020.1 · Cited by 336 · see citing works
Biological Field And Laboratory Methods For Measuring The Quality Of Surface Waters And Effluents
Weber, C. I. (1973) · Library, Museums and Press - UDSpace (University of Delaware) · Cited by 315 · see citing works
Insect Community Structure as an Index of Heavy-Metal Pollution in Lotic Ecosystems
Winner, R. W., Boesel, M. W., & Farrell, M. P. (1980) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f80-081 · Cited by 274 · see citing works
Taxonomic resolution of benthic macroinvertebrate communities in bioassessments
Bailey, R. C., Norris, R. H., & Reynoldson, T. B. (2001) · Journal of the North American Benthological Society · doi:10.2307/1468322 · Cited by 271 · see citing works
Design and implementation of rapid assessment approaches for water resource monitoring using benthic macroinvertebrates
Resh, V. H., Norris, R. H., & Barbour, M. T. (1995) · Australian Journal of Ecology · doi:10.1111/j.1442-9993.1995.tb00525.x · Cited by 271 · see citing works
A Comparison of Three Diversity Indices Based on Their Components of Richness and Evenness
DeJong, T. M. (1975) · Oikos · doi:10.2307/3543712 · Cited by 267 · see citing works
Water quality monitoring and aquatic organisms: the importance of species identification.
Resh, V. H., & Unzicker, J. D. (1975) · PubMed · Cited by 252 · see citing works
Responses of benthic macroinvertebrates to environmental changes associated with urbanization in nine metropolitan areas.
Cuffney, T., Brightbill, R., May, J., & Waite, I. (2009) · Ecological Applications · doi:10.1890/08-1311.1 · Cited by 242 · see citing works
An empirical biotic index of the quality of water in south African streams and rivers
Chutter, F. M. (1972) · Water Research · doi:10.1016/0043-1354(72)90170-4 · Cited by 233 · see citing works
After site selection and before data analysis: sampling, sorting, and laboratory procedures used in stream benthic macroinvertebrate monitoring programs by USA state agencies
Carter, J. L., & Resh, V. H. (2001) · Journal of the North American Benthological Society · doi:10.2307/1468095 · Cited by 220 · see citing works
Species realities and numbers in sexual vertebrates: Perspectives from an asexually transmitted genome
Avise, J. C., & Walker, D. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.3.992 · Cited by 207 · see citing works
Aquatic insect ecophysiological traits reveal phylogenetically based differences in dissolved cadmium susceptibility
Buchwalter, D. B., Cain, D. J., Martin, C. A., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801686105 · Cited by 199 · see citing works
Does taxonomic resolution affect the multivariate description of the structure of freshwater benthic macroinvertebrate communities?
Bowman, M. F., & Bailey, R. C. (1997) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f97-085 · Cited by 194 · see citing works
Towards a comprehensive barcode library for arctic life—Ephemeroptera, Plecoptera, and Trichoptera of Churchill, Manitoba, Canada
Zhou, X., Adamowicz, S. J., Jacobus, L. M., DeWalt, R. E., & Hebert, P. D. (2009) · Frontiers in Zoology · doi:10.1186/1742-9994-6-30 · Cited by 153 · see citing works
Utility of DNA taxonomy and barcoding for the inference of larval community structure in morphologically crypticChironomus(Diptera) species
Pfenninger, M., Nowak, C., KLEY, C., Steinke, D., & Streit, B. (2007) · Molecular Ecology · doi:10.1111/j.1365-294x.2006.03136.x · Cited by 150 · see citing works
Assessing the effects of primer specificity on eliminating numt coamplification in DNA barcoding: a case study from Orthoptera (Arthropoda: Insecta)
Moulton, M. J., Song, H., & Whiting, M. F. (2010) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2009.02823.x · Cited by 141 · see citing works
Ephemeroptera, Plecoptera, and Trichoptera fauna of Churchill (Manitoba, Canada): insights into biodiversity patterns from DNA barcoding
Zhou, X., Jacobus, L. M., DeWalt, R. E., Adamowicz, S. J., & Hebert, P. D. N. (2010) · Journal of the North American Benthological Society · doi:10.1899/09-121.1 · Cited by 126 · see citing works
Associating larvae and adults of Chinese Hydropsychidae caddisflies (Insecta:Trichoptera) using DNA sequences
Zhou, X. Y., Kjer, K. M., & Morse, J. C. (2007) · Journal of the North American Benthological Society · doi:10.1899/06-089.1 · Cited by 124 · see citing works
Benthic macroinvertebrates as indicators of water quality: The intersection of science and policy
Gresens, S. E., Smith, R. F., Sutton‐Grier, A. E., & Kenney, M. A. (2009) · Terrestrial Arthropod Reviews · doi:10.1163/187498209x12525675906077 · Cited by 120 · see citing works
The effects of macroinvertebrate taxonomic resolution in large landscape bioassessments: an example from the Mid‐Atlantic Highlands, U.S.A.
Waite, I. R., Herlihy, A. T., Larsen, D. P., Urquhart, N. S., & Klemm, D. J. (2004) · Freshwater Biology · doi:10.1111/j.1365-2427.2004.01197.x · Cited by 117 · see citing works
Differences in Dissolved Cadmium and Zinc Uptake among Stream Insects: Mechanistic Explanations
Buchwalter, D. B., & Luoma, S. N. (2004) · Environmental Science & Technology · doi:10.1021/es0404421 · Cited by 114 · see citing works
Sampling effort affects multivariate comparisons of stream assemblages
Cao, Y., Larsen, D. P., Hughes, R. M., et al. (2002) · Journal of the North American Benthological Society · doi:10.2307/1468440 · Cited by 104 · see citing works
Data quality, performance, and uncertainty in taxonomic identification for biological assessments
Stribling, J. B., Pavlik, K. L., Holdsworth, S. M., & Leppo, E. W. (2008) · Journal of the North American Benthological Society · doi:10.1899/07-175.1 · Cited by 95 · see citing works
Assessing Macroinvertebrate Biodiversity in Freshwater Ecosystems: Advances and Challenges in DNA-based Approaches
Pfrender, M. E., Hawkins, C. P., Bagley, M. J., Courtney, G. W., Creutzburg, B. R., Epler, J. H., Fend, S., Ferrington, L. C., Hartzell, P., Jackson, S. A., et al. (2010) · The Quarterly Review of Biology · doi:10.1086/655118 · Cited by 89 · see citing works
Variation in genetic structure among populations of the caddisfly Helicopsyche borealis from three streams in northern California, U.S.A.
Jackson, J. K., & Resh, V. H. (1992) · Freshwater Biology · doi:10.1111/j.1365-2427.1992.tb00520.x · Cited by 80 · see citing works
Self-citation
Role of rarity and taxonomic resolution in a regional and spatial analysis of stream macroinvertebrates
Arscott, D. B., Jackson, J. K., & Kratzer, E. B. (2006) · Journal of the North American Benthological Society · doi:10.1899/0887-3593(2006)025[0977:roratr]2.0.co;2 · Cited by 72 · see citing works
Self-citation
Chironomid Taxa Richness: Natural Variation and Use in Pollution Assessment
Lenat, D. R. (1983) · Freshwater Invertebrate Biology · doi:10.2307/1467151 · Cited by 68 · see citing works
MtDNA COI barcodes reveal cryptic diversity in the Baetis vernus group (Ephemeroptera, Baetidae)
Ståhls, G., & Savolainen, E. (2007) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2007.09.009 · Cited by 65 · see citing works
Discrimination of Cricotopus species (Diptera: Chironomidae) by DNA barcoding
Sinclair, C. S., & Gresens, S. E. (2008) · Bulletin of Entomological Research · doi:10.1017/s0007485308005865 · Cited by 65 · see citing works
Biodiversity and Ecosystem Function: Do Species Matter?
Giller, P. S., & O’Donovan, G. (2002) · Biology & Environment Proceedings of the Royal Irish Academy · doi:10.3318/bioe.2002.102.3.129 · Cited by 61 · see citing works
Temporal and spatial responses of Chironomidae (Diptera) and other benthic invertebrates to urban stormwater runoff
Gresens, S., Belt, K., Tang, J., Gwinn, D., & Banks, P. (2006) · Hydrobiologia · doi:10.1007/s10750-006-0366-y · Cited by 60 · see citing works
Genetic Variation in Stream Mayfly (Insecta: Ephemeroptera) Populations of Eastern North America
Sweeney, B. W., Funk, D. H., & Vannote, R. L. (1987) · Annals of the Entomological Society of America · doi:10.1093/aesa/80.5.600 · Cited by 57 · see citing works
Self-citation
Molecular identification of Chironomus spp. (Diptera) for biomonitoring of aquatic ecosystems
Sharley, D. J., Pettigrove, V. J., & Parsons, Y. M. (2004) · Australian Journal of Entomology · doi:10.1111/j.1440-6055.2004.00417.x · Cited by 46 · see citing works
Mitochondrial lineages and DNA barcoding of closely related species in the mayfly genus Ephemerella (Ephemeroptera:Ephemerellidae)
Alexander, L. C., Delion, M., Hawthorne, D. J., Lamp, W. O., & Funk, D. H. (2009) · Journal of the North American Benthological Society · doi:10.1899/08-150.1 · Cited by 40 · see citing works
Systematic revision of the genus Everettia Godwin-Austen, 1891 (Mollusca: Gastropoda: Dyakiidae) in Sabah, northern Borneo
Liew, T., Schilthuizen, M., & Vermeulen, J. J. (2009) · Zoological Journal of the Linnean Society · doi:10.1111/j.1096-3642.2009.00526.x · Cited by 38 · see citing works
Electrophoretic Study of Eastern North American Eurylophella (Ephemeroptera: Ephemerellidae) with the Discovery of Morphologically Cryptic Species
Funk, D. H., Sweeney, B. W., & Vannote, R. L. (1988) · Annals of the Entomological Society of America · doi:10.1093/aesa/81.2.174 · Cited by 37 · see citing works
Self-citation
Deeply divergent mitochondrial lineages reveal patterns of local endemism in chironomids of the Australian Wet Tropics
Krosch, M. N., Baker, A. M., McKie, B. G., Mather, P. B., & Cranston, P. S. (2009) · Austral Ecology · doi:10.1111/j.1442-9993.2009.01932.x · Cited by 34 · see citing works
Morphologically Cryptic Species Confound Ecological Studies of the Caddisfly Genus Gumaga (Trichoptera: Sericostomatidae) in Northern California
Jackson, J. K., & Resh, V. H. (1998) · Aquatic Insects · doi:10.1076/aqin.20.2.69.4503 · Cited by 29 · see citing works
Self-citation
Population genetics of the burrowing mayflyDolania americana:geographic variation and the presence of a cryptic species
Sweeney, B. W., & Funk, D. H. (1991) · Aquatic Insects · doi:10.1080/01650429109361419 · Cited by 22 · see citing works
Self-citation
Transport of Bacillus thuringiensis var. israelensis and Its Effect on Drift and Benthic Densities of Nontarget Macroinvertebrates in the Susquehanna River, Northern Pennsylvania
Jackson, J. K., Sweeney, B. W., Bott, T. L., et al. (1994) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f94-031 · Cited by 22 · see citing works
Self-citation
Genetic contributions to the study of taxonomy, ecology, and evolution of mayflies (Ephemeroptera): review and future perspectives
Monaghan, M. T., & Sartori, M. (2009) · Aquatic Insects · doi:10.1080/01650420902734145 · Cited by 18 · see citing works
Mayflies: An Angler's Study of Trout Water Ephemeroptera
Knopp, M. C. N., & Cormier, R. (1997) · Cited by 15 · see citing works
Wildstream: A Natural History of the Free Flowing River
Waters, T. F. (2000) · Cited by 12 · see citing works
Wildstream: a natural history of the free flowing river
Mackay, R. J. (2000) · Journal of the North American Benthological Society · doi:10.2307/1468132 · Cited by 9 · see citing works

Flagged first, then by citations

Sorted by citations

Can DNA-Based Ecosystem Assessments Quantify Species Abundance? Testing Primer Bias and Biomass—Sequence Relationships with an Innovative Metabarcoding Protocol
Elbrecht, V., & Leese, F. (2015) · PLOS ONE · doi:10.1371/journal.pone.0130324 · Cited by 765 · see citing works
Environmental monitoring using next generation sequencing: rapid identification of macroinvertebrate bioindicator species
Carew, M. E., Pettigrove, V. J., Metzeling, L., & Hoffmann, A. A. (2013) · Frontiers in Zoology · doi:10.1186/1742-9994-10-45 · Cited by 243 · see citing works
Is DNA Barcoding Actually Cheaper and Faster than Traditional Morphological Methods: Results from a Survey of Freshwater Bioassessment Efforts in the United States?
Stein, E. D., Martinez, M. C., Stiles, S., Miller, P. E., & Zakharov, E. V. (2014) · PLoS ONE · doi:10.1371/journal.pone.0095525 · Cited by 152 · see citing works
Cryptic biodiversity in streams: a comparison of macroinvertebrate communities based on morphological and DNA barcode identifications
Jackson, J. K., Battle, J. M., White, B. P., Pilgrim, E. M., Stein, E. D., Miller, P. E., & Sweeney, B. W. (2014) · Freshwater Science · doi:10.1086/675225 · Cited by 91 · see citing works
Self-citation
Genetic diversity and dispersal potential of the stonefly<i>Dinocras cephalotes</i>in a central European low mountain range
Elbrecht, V., Feld, C. K., Gies, M., Hering, D., Sondermann, M., Tollrian, R., & Leese, F. (2014) · Freshwater Science · doi:10.1086/674536 · Cited by 49 · see citing works

Authors: Sweeney, B. W., Battle, J. M., Jackson, J. K., & Dapkey, T.
Affiliations: Stroud Water Research Center (US)
University of Pennsylvania (US)
Corresponding author: Sweeney, Bernard W.
Battle, Juliann M.
Jackson, John K.
Dapkey, Tanya
ORCID: Sweeney, Bernard W.
Jackson, John K.
Dapkey, Tanya
Venue: Journal of the North American Benthological Society
Publisher: University of Chicago Press
Published: 2011-03
Volume: 30
Issue: 1
Pages: 195-216
ISSN: 0887-3593 (ISSN-L)
1937-237X
DOI: 10.1899/10-016.1
OpenAlex: W2156780347
Cited by: 180
References: 70
Citations by year: 2026: 4 · 2025: 7 · 2024: 6 · 2023: 4 · 2022: 17 · 2021: 14 · 2020: 14 · 2019: 18 · 2018: 13 · 2017: 19 · 2016: 17 · 2015: 10 · 2014: 16 · 2013: 8 · 2012: 8
FWCI: 10.19
Type: journal article
Language: en
Open access: closed
Locations: Journal of the North American Benthological Society (publishedVersion)
BioOne Complete (BioOne) (submittedVersion)
Topics: Physical Sciences › Environmental Science › Ecology › Freshwater macroinvertebrate diversity and ecology
Physical Sciences › Environmental Science › Ecology › Environmental DNA in Biodiversity Studies
Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Invertebrate Taxonomy and Ecology
Keywords: DNA barcoding, stream macroinvertebrates, community structure, water quality assessment, cytochrome c oxidase subunit I, taxonomic resolution, rare species, pollution tolerance, stream degradation, White Clay Creek, larval identification, biodiversity indicators, land use effects, riffle habitat

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Can DNA barcodes of stream macroinvertebrates improve descriptions of community structure and water quality?

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Cites

Cited by

Related

Record

About these checks