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dc.contributor.authorBurian, Alfred
dc.contributor.authorMauvisseau, Quentin
dc.contributor.authorBulling, Mark
dc.contributor.authorDomisch, Sami
dc.contributor.authorQian, Song
dc.contributor.authorSweet, Michael
dc.date.accessioned2021-04-16T09:15:26Z
dc.date.available2021-04-16T09:15:26Z
dc.date.issued2021-03-25
dc.identifier.citationBurian, A., Mauvisseau, Q., Bulling, M., Domisch, S., Qian, S., and Sweet, M. (2021). 'Improving the reliability of eDNA data interpretation'. Molecular Ecology Resources, pp. 1-12.en_US
dc.identifier.issn1755-098X
dc.identifier.doi10.1111/1755-0998.13367
dc.identifier.urihttp://hdl.handle.net/10545/625716
dc.description.abstractGlobal declines in biodiversity highlight the need to effectively monitor the density and distribution of threatened species. In recent years, molecular survey methods detecting DNA released by target‐species into their environment (eDNA) have been rapidly on the rise. Despite providing new, cost‐effective tools for conservation, eDNA‐based methods are prone to errors. Best field and laboratory practices can mitigate some, but the risks of errors cannot be eliminated and need to be accounted for. Here, we synthesize recent advances in data processing tools that increase the reliability of interpretations drawn from eDNA data. We review advances in occupancy models to consider spatial data‐structures and simultaneously assess rates of false positive and negative results. Further, we introduce process‐based models and the integration of metabarcoding data as complementing approaches to increase the reliability of target‐species assessments. These tools will be most effective when capitalizing on multi‐source data sets collating eDNA with classical survey and citizen‐science approaches, paving the way for more robust decision‐making processes in conservation planning.en_US
dc.description.sponsorshipGCRFen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.urlhttps://onlinelibrary.wiley.com/doi/epdf/10.1111/1755-0998.13367en_US
dc.subjectBiotechnologyen_US
dc.subjectGeneticsen_US
dc.subjectEcology, Evolution, Behavior and Systematicsen_US
dc.subjecteDNAen_US
dc.titleImproving the reliability of eDNA data interpretationen_US
dc.typeArticleen_US
dc.identifier.eissn1755-0998
dc.contributor.departmentUniversity of Derbyen_US
dc.contributor.departmentMarine Ecology Department, Lurio University, Nampula, Mozambiqueen_US
dc.contributor.departmentHelmholtz Centre for Environmental Research, Leipzig, Germanyen_US
dc.contributor.departmentNatural History Museum, University of Oslo, Oslo, Norwayen_US
dc.contributor.departmentLeibniz‐Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germanyen_US
dc.contributor.departmentUniversity of Toledo, Toledo, OH, USAen_US
dc.identifier.journalMolecular Ecology Resourcesen_US
dc.identifier.pii10.1111/1755-0998.13367
dc.source.journaltitleMolecular Ecology Resources
dcterms.dateAccepted2021-02-24
refterms.dateFOA2021-04-16T09:15:27Z
dc.author.detail783337en_US


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