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dc.contributor.authorSales, Naiara Guimarães
dc.contributor.authorMcKenzie, Maisie B.
dc.contributor.authorDrake, Joseph
dc.contributor.authorHarper, Lynsey R.
dc.contributor.authorBrowett, Samuel S.
dc.contributor.authorCoscia, Ilaria
dc.contributor.authorWangensteen, Owen S.
dc.contributor.authorBaillie, Charles
dc.contributor.authorBryce, Emma
dc.contributor.authorDawson, Deborah A.
dc.contributor.authorOchu, Erinma
dc.contributor.authorHänfling, Bernd
dc.contributor.authorLawson Handley, Lori
dc.contributor.authorMariani, Stefano
dc.contributor.authorLambin, Xavier
dc.contributor.authorSutherland, Christopher
dc.contributor.authorMcDevitt, Allan D.
dc.date.accessioned2021-03-10T00:39:53Z
dc.date.available2021-03-10T00:39:53Z
dc.date.issued2020-04
dc.identifier266885215
dc.identifierb8f1a609-f27d-48a2-bd96-61df6ff898d8
dc.identifier85081263028
dc.identifier000523415100006
dc.identifier.citationSales , N G , McKenzie , M B , Drake , J , Harper , L R , Browett , S S , Coscia , I , Wangensteen , O S , Baillie , C , Bryce , E , Dawson , D A , Ochu , E , Hänfling , B , Lawson Handley , L , Mariani , S , Lambin , X , Sutherland , C & McDevitt , A D 2020 , ' Fishing for mammals : landscape-level monitoring of terrestrial and semi-aquatic communities using eDNA from riverine systems ' , Journal of Applied Ecology , vol. 57 , no. 4 , pp. 707-716 . https://doi.org/10.1111/1365-2664.13592en
dc.identifier.issn0021-8901
dc.identifier.otherRIS: urn:7F59EC1D5C106D6EAB0EA3CB158AD7E2
dc.identifier.otherORCID: /0000-0003-2073-1751/work/75248772
dc.identifier.urihttps://hdl.handle.net/10023/21578
dc.descriptionFunding: The eDNA component of this project was funded by the British Ecological Society (grant no. SR17/1214) and a University of Salford Internal Research Award awarded to A.D.M. J.D. was supported by the University of Massachusetts Organismal and Evolutionary Biology Research Grant and Spring 2018 Graduate School Fieldwork Grant.en
dc.description.abstractEnvironmental DNA (eDNA) metabarcoding has revolutionized biomonitoring in both marine and freshwater ecosystems. However, for semi‐aquatic and terrestrial animals, the application of this technique remains relatively untested. We first assess the efficiency of eDNA metabarcoding in detecting semi‐aquatic and terrestrial mammals in natural lotic ecosystems in the UK by comparing sequence data recovered from water and sediment samples to the mammalian communities expected from historical data. Secondly, using occupancy modelling we compared the detection efficiency of eDNA metabarcoding to multiple conventional non‐invasive survey methods (latrine surveys and camera trapping). eDNA metabarcoding detected a large proportion of the expected mammalian community within each area. Common species in the areas were detected at the majority of sites. Several key species of conservation concern in the UK were detected by eDNA sampling in areas where authenticated records do not currently exist, but potential false positives were also identified. Water‐based eDNA metabarcoding provided comparable results to conventional survey methods in per unit of survey effort for three species (water vole, field vole and red deer) using occupancy models. The comparison between survey ‘effort’ to reach a detection probability of ≥.95 revealed that 3–6 water replicates would be equivalent to 3–5 latrine surveys and 5–30 weeks of single camera deployment, depending on the species. Synthesis and applications. eDNA metabarcoding can be used to generate an initial ‘distribution map’ of mammalian diversity at the landscape level. If conducted during times of peak abundance, carefully chosen sampling points along multiple river courses provide a reliable snapshot of the species that are present in a catchment area. In order to fully capture solitary, rare and invasive species, we would currently recommend the use of eDNA metabarcoding alongside other non‐invasive surveying methods (i.e. camera traps) to maximize monitoring efforts.
dc.format.extent651263
dc.language.isoeng
dc.relation.ispartofJournal of Applied Ecologyen
dc.subjectBiomonitoringen
dc.subjectCamera trappingen
dc.subjecteDNA metabarcodingen
dc.subjectLatrine surveysen
dc.subjectMammalsen
dc.subjectOccupancy modellingen
dc.subjectRiversen
dc.subjectGE Environmental Sciencesen
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subjectSDG 14 - Life Below Wateren
dc.subjectSDG 15 - Life on Landen
dc.subject.lccGEen
dc.subject.lccQH301en
dc.titleFishing for mammals : landscape-level monitoring of terrestrial and semi-aquatic communities using eDNA from riverine systemsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doi10.1111/1365-2664.13592
dc.description.statusPeer revieweden
dc.date.embargoedUntil2021-03-10
dc.identifier.urlhttp://usir.salford.ac.uk/id/eprint/56273en


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