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dc.contributor.authorLanzen, Anders
dc.contributor.authorDahlgren, Thomas G.
dc.contributor.authorBagi, Andrea
dc.contributor.authorHestetun, Jon Thomassen
dc.date.accessioned2022-01-04T11:31:09Z-
dc.date.available2022-01-04T11:31:09Z-
dc.date.issued2021
dc.identifierWOS:000692561800014
dc.identifier.issn1470-160X
dc.identifier.urihttp://dspace.azti.es/handle/24689/1195-
dc.description.abstractApart from its contribution to climate change, offshore oil and gas extraction is also a potential threat to the diversity and function of marine ecosystems. Routine monitoring of the environmental status of affected areas is therefore critical for effective management. While current morphology-based monitoring is relatively time consuming, costly and prone to identification bias, environmental DNA metabarcoding offers an attractive alternative for assessing the impacts of oil drilling, extraction or spills. However, to be ready for routine monitoring, its performance needs to be demonstrated through agreement with assessments based on physicochemical measurements and current bioindicators. To this end, we applied metabarcoding to sequence the metazoan (COI) and total eukaryotic (18S) benthic components. We targeted a range of sites, with a gradient of low to high level of impact, located near active production installations and reference sites, in the North and Barents Seas. Alpha diversity and community structure of both datasets correlated strongly with a physicochemical pressure index (PI) based on total hydrocarbons (THC), PAH16, Ba and Cu. Calculations of the macroinvertebrate-based Norwegian Sensitivity Index (NSI) based on COI metabarcoding data agreed well with corresponding morpho-taxonomy values and with the PI. Further, we identified a set of bioindicator taxa from both metabarcoding datasets, to develop novel biotic indices and demonstrate their predictive performance using cross-validation. Finally, we compared co-occurrence networks from impacted vs. non-impacted sites, to improve the understanding of the ecological consequences of impacts. Our study demonstrates that metabarcoding can act as a meaningful and relatively accurate complement to the current morpho-taxonomic approach.
dc.language.isoEnglish
dc.publisherELSEVIER
dc.subjectEnvironmental DNA
dc.subjectEnvironmental monitoring
dc.subjectMarine ecosystems
dc.subjectMetabarcoding
dc.subjectBenthos
dc.subjectEnvironmental assessment
dc.subjectOffshore oil and gas extraction
dc.subjectHydrocarbon contamination
dc.subjectOFFSHORE OIL
dc.subjectNORTH-SEA
dc.subjectBIOTIC INDEX
dc.subjectMARINE
dc.subjectDISCHARGES
dc.subjectESTUARINE
dc.subjectQUALITY
dc.subjectBIODIVERSITY
dc.subjectEUKARYOTES
dc.subjectDIVERSITY
dc.titleBenthic eDNA metabarcoding provides accurate assessments of impact from oil extraction, and ecological insights
dc.typeArticle
dc.identifier.journalECOLOGICAL INDICATORS
dc.format.volume130
dc.contributor.funderResearch Council of Norway [RCN]Research Council of Norway [280919]
dc.contributor.funderEquinor AS
dc.contributor.funderTotal E\&P Norge AS, through the MetaMon projectTotal SA
dc.identifier.e-issn1872-7034
dc.identifier.doi10.1016/j.ecolind.2021.108064
Appears in Publication types:Artículos científicos



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