Show simple item record

dc.contributor.authorCretois, Benjamin
dc.contributor.authorSimmonds, Emily Grace
dc.contributor.authorLinnell, John D. C.
dc.contributor.authorvan Moorter, Bram
dc.contributor.authorRolandsen, Christer M.
dc.contributor.authorSolberg, Erling J.
dc.contributor.authorStrand, Olav
dc.contributor.authorGundersen, Vegard
dc.contributor.authorRoer, Ole
dc.contributor.authorRød, Jan Ketil
dc.date.accessioned2022-05-12T10:52:43Z
dc.date.available2022-05-12T10:52:43Z
dc.date.created2021-10-06T08:18:10Z
dc.date.issued2021
dc.identifier.citationEcology and Evolution. 2021, 11 (21), 15191-15204.en_US
dc.identifier.issn2045-7758
dc.identifier.urihttps://hdl.handle.net/11250/2995428
dc.description.abstractMany publications make use of opportunistic data, such as citizen science observation data, to infer large-scale properties of species’ distributions. However, the few publications that use opportunistic citizen science data to study animal ecology at a habitat level do so without accounting for spatial biases in opportunistic records or using methods that are difficult to generalize. In this study, we explore the biases that exist in opportunistic observations and suggest an approach to correct for them. We first examined the extent of the biases in opportunistic citizen science observations of three wild ungulate species in Norway by comparing them to data from GPS telemetry. We then quantified the extent of the biases by specifying a model of the biases. From the bias model, we sampled available locations within the species’ home range. Along with opportunistic observations, we used the corrected availability locations to estimate a resource selection function (RSF). We tested this method with simulations and empirical datasets for the three species. We compared the results of our correction method to RSFs obtained using opportunistic observations without correction and to RSFs using GPS-telemetry data. Finally, we compared habitat suitability maps obtained using each of these models. Opportunistic observations are more affected by human access and visibility than locations derived from GPS telemetry. This has consequences for drawing inferences about species’ ecology. Models naïvely using opportunistic observations in habitat-use studies can result in spurious inferences. However, sampling availability locations based on the spatial biases in opportunistic data improves the estimation of the species’ RSFs and predicted habitat suitability maps in some cases. This study highlights the challenges and opportunities of using opportunistic observations in habitat-use studies. While our method is not foolproof it is a first step toward unlocking the potential of opportunistic citizen science data for habitat-use studiesen_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectcitizen scienceen_US
dc.subjecthabitat selectionen_US
dc.subjectopportunistic data,en_US
dc.subjectpreferential samplingen_US
dc.subjectspatial biasen_US
dc.subjectungulatesen_US
dc.titleIdentifying and correcting spatial bias in opportunistic citizen science data for wild ungulates in Norwayen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.subject.nsiVDP::Zoologiske og botaniske fag: 480en_US
dc.subject.nsiVDP::Zoology and botany: 480en_US
dc.subject.nsiVDP::Zoologiske og botaniske fag: 480en_US
dc.subject.nsiVDP::Zoology and botany: 480en_US
dc.source.pagenumber15191-15204en_US
dc.source.volume11en_US
dc.source.journalEcology and Evolutionen_US
dc.source.issue21en_US
dc.identifier.doi10.1002/ece3.8200
dc.identifier.cristin1943625
dc.relation.projectNorges forskningsråd: 251112en_US
dc.relation.projectEgen institusjon: NTNUen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal