The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Moving environmental DNA methods from concept to practice for monitoring aquatic macroorganisms
Open accessAbstract
The discovery that macroorganisms can be detected from their environmental DNA (eDNA) in aquatic systems has immense potential for the conservation of biological diversity. This special issue contains 11 papers that review and advance the field of eDNA detection of vertebrates and other macroorganisms, including studies of eDNA production, transport, and degradation; sample collection and processing to maximize detection rates; and applications of eDNA for conservation using citizen scientists. This body of work is an important contribution to the ongoing efforts to take eDNA detection of macroorganisms from technical breakthrough to established, reliable method that can be used in survey, monitoring, and research applications worldwide. While the rapid advances in this field are remarkable, important challenges remain, including consensus on best practices for collection and analysis, understanding of eDNA diffusion and transport, and avoidance of inhibition in sample collection and processing. Nonetheless, as demonstrated in this special issue, eDNA techniques for research and monitoring are beginning to realize their potential for contributing to the conservation of biodiversity globally.
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Citations
Cites
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
Species detection using environmental DNA from water samples
Ficetola, G. F., Miaud, C., Pompanon, F., & Taberlet, P. (2008) · Biology Letters · doi:10.1098/rsbl.2008.0118 · Cited by 1,707
TABERLET, P., COISSAC, E., HAJIBABAEI, M., & RIESEBERG, L. H. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05542.x · Cited by 1,341
“Sight‐unseen” detection of rare aquatic species using environmental DNA
Jerde, C. L., Mahon, A. R., Chadderton, W. L., & Lodge, D. M. (2011) · Conservation Letters · doi:10.1111/j.1755-263x.2010.00158.x · Cited by 1,304
Monitoring endangered freshwater biodiversity using environmental DNA
THOMSEN, P. F., KIELGAST, J., IVERSEN, L. L., WIUF, C., RASMUSSEN, M., GILBERT, M. T. P., ORLANDO, L., & WILLERSLEV, E. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2011.05418.x · Cited by 1,184
Detection of a Diverse Marine Fish Fauna Using Environmental DNA from Seawater Samples
Thomsen, P. F., Kielgast, J., Iversen, L. L., Møller, P. R., Rasmussen, M., & Willerslev, E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041732 · Cited by 1,007
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
Quantifying effects of UV-B, temperature, and pH on eDNA degradation in aquatic microcosms
Strickler, K. M., Fremier, A. K., & Goldberg, C. S. (2015) · Biological Conservation · doi:10.1016/j.biocon.2014.11.038 · Cited by 901
Self-citationEstimation of Fish Biomass Using Environmental DNA
Takahara, T., Minamoto, T., Yamanaka, H., Doi, H., & Kawabata, Z. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035868 · Cited by 863
Harwood, V. J., Staley, C., Badgley, B. D., Borges, K., & Korajkic, A. (2014) · FEMS Microbiology Reviews · doi:10.1111/1574-6976.12031 · Cited by 730
Cited by
Yates, M. C., Fraser, D. J., & Derry, A. M. (2019) · Environmental DNA · doi:10.1002/edn3.7 · Cited by 284
Environmental DNA as an efficient tool for detecting invasive crayfishes in freshwater ponds
Mauvisseau, Q., Coignet, A., Delaunay, C., Pinet, F., Bouchon, D., & Souty-Grosset, C. (2018) · Hydrobiologia · doi:10.1007/s10750-017-3288-y · Cited by 60
Metadata
- Authors
- Goldberg, C. S., Strickler, K. M., & Pilliod, D. S.
- Venue
- Biological Conservation
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 183
- Pages
- 1-3
- ISSN
- 0006-3207 (ISSN-L)
- OpenAlex
- W2012313205
- Cited by
- 272
- References
- 32
- FWCI
- 17.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.