The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Estimation of Fish Biomass Using Environmental DNA
Open accessAbstract
Environmental DNA (eDNA) from aquatic vertebrates has recently been used to estimate the presence of a species. We hypothesized that fish release DNA into the water at a rate commensurate with their biomass. Thus, the concentration of eDNA of a target species may be used to estimate the species biomass. We developed an eDNA method to estimate the biomass of common carp (Cyprinus carpio L.) using laboratory and field experiments. In the aquarium, the concentration of eDNA changed initially, but reached an equilibrium after 6 days. Temperature had no effect on eDNA concentrations in aquaria. The concentration of eDNA was positively correlated with carp biomass in both aquaria and experimental ponds. We used this method to estimate the biomass and distribution of carp in a natural freshwater lagoon. We demonstrated that the distribution of carp eDNA concentration was explained by water temperature. Our results suggest that biomass data estimated from eDNA concentration reflects the potential distribution of common carp in the natural environment. Measuring eDNA concentration offers a non-invasive, simple, and rapid method for estimating biomass. This method could inform management plans for the conservation of ecosystems.
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
Model selection and multimodel inference: a practical information-theoretic approach.
Guthery, F. S., Burnham, K. P., & Anderson, D. R. (2003) · The Journal of Wildlife Management · doi:10.2307/3802723 · Cited by 41,495
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
Next‐generation monitoring of aquatic biodiversity using environmental DNA metabarcoding
Valentini, A., Taberlet, P., Miaud, C., Civade, R., Herder, J., Thomsen, P. F., Bellemain, E., Besnard, A., Coissac, E., Boyer, F., et al. (2016) · Molecular Ecology · doi:10.1111/mec.13428 · Cited by 1,252
Environmental Conditions Influence eDNA Persistence in Aquatic Systems
Barnes, M. A., Turner, C. R., Jerde, C. L., Renshaw, M. A., Chadderton, W. L., & Lodge, D. M. (2014) · Environmental Science & Technology · doi:10.1021/es404734p · Cited by 939
Fish environmental DNA is more concentrated in aquatic sediments than surface water
Turner, C. R., Uy, K. L., & Everhart, R. C. (2015) · Biological Conservation · doi:10.1016/j.biocon.2014.11.017 · Cited by 555
Distance, flow and PCR inhibition: e DNA dynamics in two headwater streams
Jane, S. F., Wilcox, T. M., McKelvey, K. S., Young, M. K., Schwartz, M. K., Lowe, W. H., Letcher, B. H., & Whiteley, A. R. (2015) · Molecular Ecology Resources · doi:10.1111/1755-0998.12285 · Cited by 549
Metadata
- Authors
- Takahara, T., Minamoto, T., Yamanaka, H., Doi, H., & Kawabata, Z.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-04-26
- Volume
- 7
- Issue
- 4
- Pages
- e35868
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2063726689
- Cited by
- 863
- References
- 1
- FWCI
- 19.76
- Type
- journal article
- Language
- en
- Open access
- gold
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: Estimation of Fish Biomass Using Environmental DNA. https://app.cochat.ai/papers/10.1371/journal.pone.0035868
- The paper
- Takahara, T., Minamoto, T., Yamanaka, H., Doi, H., & Kawabata, Z. (2012). Estimation of Fish Biomass Using Environmental DNA. PLoS ONE. https://doi.org/10.1371/journal.pone.0035868
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.
