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Optimal sampling methods for modelling the occupancy of Arctic grayling (Thymallus arcticus) in the Canadian Barrenlands

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dc.contributor.authorSwanson, Heidi K.
dc.contributor.authorArtym, Kyle
dc.contributor.authorBaker, Leanne F.
dc.date.accessioned2017-06-19T20:44:17Z
dc.date.available2017-06-19T20:44:17Z
dc.date.issued2017
dc.description© Canadian Science Publishing or its licensors. Baker, LF, KJ Artym and HK Swanson (2017). Optimal sampling methods for modelling the occupancy of Arctic grayling (Thymallus arcticus) in the Canadian Barrenlands. Canadian Journal of Fisheries and Aquatic Sciences. doi/10.1139/cjfas-2016-0429. Published by NRC Research Press, the final published version is available at: http://dx.doi.org/10.1139/cjfas-2016-0429en
dc.description.abstractIn occupancy models, imperfect detectability of animals is usually corrected for by using temporally-repeated surveys to estimate probability of detection. Substituting spatial replicates for temporal replicates could be an advantageous sampling strategy in remote Arctic regions, but may lead to serious violations of model assumptions. Using a case study of site occupancy of adfluvial young-of-year Arctic Grayling in Barrenland tundra streams, we assessed reliability and efficiency of alternative sampling strategies; i) randomly distributed vs sequential adjacent spatial replicates; ii) visual vs electrofishing surveys; and, iii) spatial vs temporal replicates. Sequential, adjacent spatial replicates produced spatially auto-correlated data. Autocorrelation was relieved using randomly distributed spatial replicates, but using these randomly distributed spatial replicates introduced significant error into estimates of the probability of occupancy in streams. Models designed for spatially-autocorrelated data could minimize this bias. Visual and electrofishing surveys produced comparable probabilities of detection. Spatially-replicated surveys performed better than temporal replicates. The easiest and relatively most cost-effective sampling methods performed as well as, or better than, the more established, expensive, and logistically difficult alternatives for occupancy estimation.en
dc.description.sponsorshipDe Beers Canada Ltd Natural Sciences and Engineering Research Council CRD || CRDPJ 469307 - 14en
dc.identifier.urihttp://dx.doi.org/10.1139/cjfas-2016-0429
dc.identifier.urihttp://hdl.handle.net/10012/12025
dc.language.isoenen
dc.publisherCanadian Science Publishingen
dc.relation.ispartofseriesCanadian Journal of Fisheries and Aquatic Sciences;
dc.subjectArctic Graylingen
dc.subjectOccupancyen
dc.subjectBarrenland Streamsen
dc.titleOptimal sampling methods for modelling the occupancy of Arctic grayling (Thymallus arcticus) in the Canadian Barrenlandsen
dc.typeArticleen
dcterms.bibliographicCitationBaker, LF, KJ Artym and HK Swanson (2017). Optimal sampling methods for modelling the occupancy of Arctic grayling (Thymallus arcticus) in the Canadian Barrenlands. Canadian Journal of Fisheries and Aquatic Sciences. doi/10.1139/cjfas-2016-0429en
uws.contributor.affiliation1Faculty of Scienceen
uws.contributor.affiliation2Biologyen
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.typeOfResourceTexten

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