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dc.contributor.authorSandercock, Brett
dc.contributor.authorDavey, Marie Louise
dc.contributor.authorEndrestøl, Anders
dc.contributor.authorBlaalid, Rakel
dc.contributor.authorFossøy, Frode
dc.contributor.authorHegre, Hanne
dc.contributor.authorMajaneva, Markus
dc.contributor.authorOften, Anders
dc.contributor.authorÅström, Jens
dc.contributor.authorJacobsen, Rannveig Margrete
dc.coverage.spatialOslofjord, Sør-Norge, Southern Norwayen_US
dc.date.accessioned2022-11-23T08:55:15Z
dc.date.available2022-11-23T08:55:15Z
dc.date.created2022-11-11T10:23:18Z
dc.date.issued2022
dc.identifier.issn1387-3547
dc.identifier.urihttps://hdl.handle.net/11250/3033549
dc.description.abstractNaturalized species of alien plants and animals comprise < 3% of biodiversity recorded in Norway but have had major impacts on natural ecosystems through displacement of native species. Encroachment of alien species has been especially problematic for coastal sites close to transport facilities and urban areas with high density housing. The goal of our field project was to design and test a surveillance program for early detection of alien species of vascular plants and terrestrial insects at the first phase of establishment in natural areas. In our 3-year project (2018–2020), we sampled 60 study plots in three counties in the Oslofjord region of southern Norway. Study plots (6.25 ha) were selected by two criteria: manual selection based on expert opinion (27 plots) or by random selection based on weights from a hotspot analysis of occurrence of alien species (33 plots). Vascular plants were surveyed by two experienced botanists who found a total of 239 alien species of vascular plants in 95 rounds of surveys. Insects and other invertebrates were captured with a single Malaise trap per site, with 3–4 rounds of repeated sampling. We used DNA-metabarcoding to identify invertebrates based on DNA extractions from crushed insects or from the preservative media. Over 3500 invertebrate taxa were detected in 255 rounds of sampling. We recorded 20 alien species of known risk, and 115 species that were new to Norway, including several ‘doorknocker’ species identified by previous risk assessments. We modeled the probabilities of occupancy (ψ) and detection (p) with occupancy models with repeated visits by multiple observers (vascular plants) or multiple rounds of sampling (insects). The two probabilities covaried with risk category for alien organisms and both were low for species categorized as no known or low risk (range = 0.052–0.326) but were higher for species categorized as severe risk (range = 0.318–0.651)... Arthropods · DNA-metabarcoding · Early detection · Invasive · Invertebrates · Occupancy models · Rapid response · Study design · Vascular plantsen_US
dc.description.abstractDesigning a surveillance program for early detection of alien plants and insects in Norwayen_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDesigning a surveillance program for early detection of alien plants and insects in Norwayen_US
dc.title.alternativeDesigning a surveillance program for early detection of alien plants and insects in Norwayen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 The Authorsen_US
dc.source.journalBiological Invasionsen_US
dc.identifier.doi10.1007/s10530-022-02957-6
dc.identifier.cristin2072318
dc.relation.projectMiljødirektoratet: M-1855|2020en_US
dc.relation.projectMiljødirektoratet: M-1576|2019en_US
dc.relation.projectMiljødirektoratet: M-1142|2018en_US
dc.relation.projectNorges forskningsråd: 160022en_US
cristin.ispublishedfalse
cristin.fulltextoriginal
cristin.qualitycode1


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