The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Monitoring endangered freshwater biodiversity using environmental DNA
Abstract
Freshwater ecosystems are among the most endangered habitats on Earth, with thousands of animal species known to be threatened or already extinct. Reliable monitoring of threatened organisms is crucial for data‐driven conservation actions but remains a challenge owing to nonstandardized methods that depend on practical and taxonomic expertise, which is rapidly declining. Here, we show that a diversity of rare and threatened freshwater animals—representing amphibians, fish, mammals, insects and crustaceans—can be detected and quantified based on DNA obtained directly from small water samples of lakes, ponds and streams. We successfully validate our findings in a controlled mesocosm experiment and show that DNA becomes undetectable within 2 weeks after removal of animals, indicating that DNA traces are near contemporary with presence of the species. We further demonstrate that entire faunas of amphibians and fish can be detected by high‐throughput sequencing of DNA extracted from pond water. Our findings underpin the ubiquitous nature of DNA traces in the environment and establish environmental DNA as a tool for monitoring rare and threatened species across a wide range of taxonomic groups.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global Biodiversity Scenarios for the Year 2100
Sala, O. E., Stuart Chapin, F., III, Armesto, J. J., Berlow, E., Bloomfield, J., Dirzo, R., Huber-Sanwald, E., Huenneke, L. F., Jackson, R. B., et al. (2000) · Science · doi:10.1126/science.287.5459.1770 · Cited by 9,280
Sequencing technologies – the next generation
Metzker, M. L. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2626 · Cited by 7,066
Instability and decay of the primary structure of DNA
Lindahl, T. (1993) · Nature · doi:10.1038/362709a0 · Cited by 5,679
Has the Earth’s sixth mass extinction already arrived?
Barnosky, A. D., Matzke, N., Tomiya, S., Wogan, G. O. U., Swartz, B., Quental, T. B., Marshall, C., McGuire, J. L., Lindsey, E. L., Maguire, K. C., et al. (2011) · Nature · doi:10.1038/nature09678 · Cited by 4,400 · cited 1×
“Faced with a global decline in biodiversity that is 100– 1000 times faster than prehuman rates (Pimm et al. 1995; Barnosky et al. 2011), there is an urgent need for data-driven prioritization of conservation actions, which relies heavily on fast and effective monitoring of threatened species.”
Background
Cited by
Environmental DNA – An emerging tool in conservation for monitoring past and present biodiversity
Thomsen, P. F., & Willerslev, E. (2015) · Biological Conservation · doi:10.1016/j.biocon.2014.11.019 · Cited by 2,082
Self-citationReliable, verifiable and efficient monitoring of biodiversity via metabarcoding
Ji, Y., Ashton, L., Pedley, S. M., Edwards, D. P., Tang, Y., Nakamura, A., Kitching, R., Dolman, P. M., Woodcock, P., Edwards, F. A., et al. (2013) · Ecology Letters · doi:10.1111/ele.12162 · Cited by 662
Biggs, J., Ewald, N., Valentini, A., Gaboriaud, C., Dejean, T., Griffiths, R. A., Foster, J., Wilkinson, J. W., Arnell, A., Brotherton, P., et al. (2015) · Biological Conservation · doi:10.1016/j.biocon.2014.11.029 · Cited by 503
Environmental metabarcodes for insects: in silicoPCR reveals potential for taxonomic bias
Clarke, L. J., Soubrier, J., Weyrich, L. S., & Cooper, A. (2014) · Molecular Ecology Resources · doi:10.1111/1755-0998.12265 · Cited by 351
Ancient and modern environmental DNA
Pedersen, M. W., Overballe-Petersen, S., Ermini, L., Sarkissian, C. D., Haile, J., Hellstrom, M., Spens, J., Thomsen, P. F., Bohmann, K., Cappellini, E., et al. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2013.0383 · Cited by 329
Self-citation
Metadata
- Authors
- THOMSEN, P. F., KIELGAST, J., IVERSEN, L. L., WIUF, C., RASMUSSEN, M., GILBERT, M. T. P., ORLANDO, L., & WILLERSLEV, E.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2011-12-13
- Volume
- 21
- Issue
- 11
- Pages
- 2565-2573
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2163290397
- Cited by
- 1,184
- References
- 4
- FWCI
- 26.10
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Monitoring endangered freshwater biodiversity using environmental DNA. https://app.cochat.ai/papers/10.1111/j.1365-294x.2011.05418.x
- The paper
- THOMSEN, P. F., KIELGAST, J., IVERSEN, L. L., WIUF, C., RASMUSSEN, M., GILBERT, M. T. P., ORLANDO, L., & WILLERSLEV, E. (2012). Monitoring endangered freshwater biodiversity using environmental DNA. Molecular Ecology. https://doi.org/10.1111/j.1365-294x.2011.05418.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.