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Article: Reliable, verifiable and efficient monitoring of biodiversity via metabarcoding

TitleReliable, verifiable and efficient monitoring of biodiversity via metabarcoding
Authors
KeywordsSystematic conservation planning
Climate change
Biodiversity
Tropical forest
Surveillance monitoring
Targeted monitoring
Restoration ecology
Heathland
DNA barcoding
Issue Date2013
Citation
Ecology Letters, 2013, v. 16, n. 10, p. 1245-1257 How to Cite?
AbstractTo manage and conserve biodiversity, one must know what is being lost, where, and why, as well as which remedies are likely to be most effective. Metabarcoding technology can characterise the species compositions of mass samples of eukaryotes or of environmental DNA. Here, we validate metabarcoding by testing it against three high-quality standard data sets that were collected in Malaysia (tropical), China (subtropical) and the United Kingdom (temperate) and that comprised 55,813 arthropod and bird specimens identified to species level with the expenditure of 2,505 person-hours of taxonomic expertise. The metabarcode and standard data sets exhibit statistically correlated alpha- and beta-diversities, and the two data sets produce similar policy conclusions for two conservation applications: restoration ecology and systematic conservation planning. Compared with standard biodiversity data sets, metabarcoded samples are taxonomically more comprehensive, many times quicker to produce, less reliant on taxonomic expertise and auditable by third parties, which is essential for dispute resolution. © 2013 The Authors. Ecology Letters published by John Wiley & Sons Ltd and CNRS.
Persistent Identifierhttp://hdl.handle.net/10722/250874
ISSN
2023 Impact Factor: 7.6
2023 SCImago Journal Rankings: 4.497
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorJi, Yinqiu-
dc.contributor.authorAshton, Louise-
dc.contributor.authorPedley, Scott M.-
dc.contributor.authorEdwards, David P.-
dc.contributor.authorTang, Yong-
dc.contributor.authorNakamura, Akihiro-
dc.contributor.authorKitching, Roger-
dc.contributor.authorDolman, Paul M.-
dc.contributor.authorWoodcock, Paul-
dc.contributor.authorEdwards, Felicity A.-
dc.contributor.authorLarsen, Trond H.-
dc.contributor.authorHsu, Wayne W.-
dc.contributor.authorBenedick, Suzan-
dc.contributor.authorHamer, Keith C.-
dc.contributor.authorWilcove, David S.-
dc.contributor.authorBruce, Catharine-
dc.contributor.authorWang, Xiaoyang-
dc.contributor.authorLevi, Taal-
dc.contributor.authorLott, Martin-
dc.contributor.authorEmerson, Brent C.-
dc.contributor.authorYu, Douglas W.-
dc.date.accessioned2018-02-01T01:53:57Z-
dc.date.available2018-02-01T01:53:57Z-
dc.date.issued2013-
dc.identifier.citationEcology Letters, 2013, v. 16, n. 10, p. 1245-1257-
dc.identifier.issn1461-023X-
dc.identifier.urihttp://hdl.handle.net/10722/250874-
dc.description.abstractTo manage and conserve biodiversity, one must know what is being lost, where, and why, as well as which remedies are likely to be most effective. Metabarcoding technology can characterise the species compositions of mass samples of eukaryotes or of environmental DNA. Here, we validate metabarcoding by testing it against three high-quality standard data sets that were collected in Malaysia (tropical), China (subtropical) and the United Kingdom (temperate) and that comprised 55,813 arthropod and bird specimens identified to species level with the expenditure of 2,505 person-hours of taxonomic expertise. The metabarcode and standard data sets exhibit statistically correlated alpha- and beta-diversities, and the two data sets produce similar policy conclusions for two conservation applications: restoration ecology and systematic conservation planning. Compared with standard biodiversity data sets, metabarcoded samples are taxonomically more comprehensive, many times quicker to produce, less reliant on taxonomic expertise and auditable by third parties, which is essential for dispute resolution. © 2013 The Authors. Ecology Letters published by John Wiley & Sons Ltd and CNRS.-
dc.languageeng-
dc.relation.ispartofEcology Letters-
dc.subjectSystematic conservation planning-
dc.subjectClimate change-
dc.subjectBiodiversity-
dc.subjectTropical forest-
dc.subjectSurveillance monitoring-
dc.subjectTargeted monitoring-
dc.subjectRestoration ecology-
dc.subjectHeathland-
dc.subjectDNA barcoding-
dc.titleReliable, verifiable and efficient monitoring of biodiversity via metabarcoding-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/ele.12162-
dc.identifier.pmid23910579-
dc.identifier.scopuseid_2-s2.0-84883816660-
dc.identifier.volume16-
dc.identifier.issue10-
dc.identifier.spage1245-
dc.identifier.epage1257-
dc.identifier.eissn1461-0248-
dc.identifier.isiWOS:000324313600003-
dc.identifier.issnl1461-023X-

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