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dc.contributor.authorKleiven, Eivind Flittie
dc.contributor.authorAntunes Lopes Da Silva Nicolau, Pedro Guilherme
dc.contributor.authorSørbye, Sigrunn Holbek
dc.contributor.authorAars, Jon
dc.contributor.authorYoccoz, Nigel
dc.contributor.authorIms, Rolf Anker
dc.date.accessioned2023-01-04T10:19:41Z
dc.date.available2023-01-04T10:19:41Z
dc.date.issued2022-12-02
dc.description.abstractCamera traps have become popular labor-efficient and non-invasive tools to study animal populations. The use of camera trap methods has largely focused on large animals and/or animals with identifiable features, with less attention being paid to small mammals, including rodents. Here we investigate the suitability of camera-trap-based abundance indices to monitor population dynamics in two species of voles with key functions in boreal and Arctic ecosystems, known for their high-amplitude population cycles. The targeted species—gray-sided vole (Myodes rufocanus) and tundra vole (Microtus oeconomus)—differ with respect to habitat use and spatial-social organization, which allow us to assess whether such species traits influence the accuracy of the abundance indices. For both species, multiple live-trapping grids yielding capture-mark-recapture (CMR) abundance estimates were matched with single tunnel-based camera traps (CT) continuously recording passing animals. The sampling encompassed 3 years with contrasting abundances and phases of the population cycles. We used linear regressions to calibrate CT indices, based on species-specific photo counts over different time windows, as a function of CMR-abundance estimates. We then performed inverse regression to predict CMR abundances from CT indices and assess prediction accuracy. We found that CT indices (for windows maximizing goodness-of-fit of the calibration models) predicted adequately the CMR-based estimates for the gray-sided vole, but performed poorly for the tundra vole. However, spatially aggregating CT indices over nearby camera traps enabled reliable abundance indices also for the tundra vole. Such species differences imply that the design of camera trap studies of rodent population dynamics should be adapted to the species in focus, and adequate spatial replication must be considered. Overall, tunnel-based camera traps yield much more temporally resolved abundance metrics than alternative methods, with a large potential for revealing new aspects of the multi-annual population cycles of voles and other small mammal species they interact with.en_US
dc.identifier.citationKleiven, Antunes Lopes Da Silva Nicolau, Sørbye, Aars, Yoccoz, Ims. Using camera traps to monitor cyclic vole populations. Remote Sensing in Ecology and Conservation. 2022en_US
dc.identifier.cristinIDFRIDAID 2094616
dc.identifier.doi10.1002/rse2.317
dc.identifier.issn2056-3485
dc.identifier.urihttps://hdl.handle.net/10037/28012
dc.language.isoengen_US
dc.publisherWileyen_US
dc.relation.journalRemote Sensing in Ecology and Conservation
dc.relation.projectIDNorges forskningsråd: 245638en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0en_US
dc.rightsAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)en_US
dc.titleUsing camera traps to monitor cyclic vole populationsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)