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dc.contributor.authorNoonan, Michael J.
dc.contributor.authorFleming, Christen H.
dc.contributor.authorTucker, Marlee A.
dc.contributor.authorKays, Roland
dc.contributor.authorHarrison, Autumn-Lynn
dc.contributor.authorCrofoot, Margaret C*
dc.contributor.authorAbrahams, Briana
dc.contributor.authorAlberts, Susan C.
dc.contributor.authorAli, Abdullahi H.
dc.contributor.authorAltmann, Jeanne
dc.contributor.authorAntunes, Pamela Castro
dc.contributor.authorBelant, Jerrold L.
dc.contributor.authorAttias, Nina
dc.contributor.authorBeyer Jr., Dean E.
dc.contributor.authorBidner, Laura R.
dc.contributor.authorBlaum, Niels
dc.contributor.authorBoone, Randall B.
dc.contributor.authorCaillaud, Damien
dc.contributor.authorDe Paula, Rogerio Cunha
dc.contributor.authorde la Torre, J. Antonio
dc.contributor.authorDekker, Jasja
dc.contributor.authorDePerno, Christopher S.
dc.contributor.authorFarhadinia, Mohammad
dc.contributor.authorFennessy, Julian
dc.contributor.authorFichtel, Claudia
dc.contributor.authorFischer, Christina
dc.contributor.authorFord, Adam
dc.contributor.authorGoheen, Jacob R.
dc.contributor.authorHavmøller, Rasmus W.
dc.contributor.authorHirsch, Ben T.
dc.contributor.authorHurtado, Cindy
dc.contributor.authorIsbell, Lynne A.
dc.contributor.authorJanssen, René
dc.contributor.authorJeltsch, Florian
dc.contributor.authorKaczensky, Petra
dc.contributor.authorKappeler, Peter
dc.contributor.authorKaneko, Yayoi
dc.contributor.authorKatna, Anjan
dc.contributor.authorKauffman, Matthew
dc.contributor.authorKoch, Flavia
dc.contributor.authorKulkarni, Abhijeet
dc.contributor.authorLaPoint, Scott
dc.contributor.authorLeimgruber, Peter
dc.contributor.authorMacdonald, David W.
dc.contributor.authorMarkham, A. Catherine
dc.contributor.authorMcMahon, Laura
dc.contributor.authorMertes, Katherine
dc.contributor.authorMoorman, Christopher E.
dc.contributor.authorMorato, Ronaldo G.
dc.contributor.authorMoßbrucker, Alexander M.
dc.contributor.authorMourão, Guilherme
dc.contributor.authorO’Connor, David
dc.contributor.authorGustavo R, Luiz
dc.contributor.authorOliveira-Santo, Luiz Gustavo R.
dc.contributor.authorPastorini, Jennifer
dc.date.accessioned2020-11-02T15:08:20Z
dc.date.available2020-11-02T15:08:20Z
dc.date.created2020-09-21T12:17:23Z
dc.date.issued2020
dc.identifier.issn0888-8892
dc.identifier.urihttps://hdl.handle.net/11250/2686106
dc.description.abstractAccurately quantifying species’ area requirements is a prerequisite for effective area-based conservation. This typically involves collecting tracking data on species of interest and then conducting home-range analyses. Problematically, autocorrelation in tracking data can result in space needs being severely underestimated. Based on the previous work, we hypothesized the magnitude of underestimation varies with body mass, a relationship that could have serious conservation implications. To evaluate this hypothesis for terrestrial mammals, we estimated home-range areas with global positioning system (GPS) locations from 757 individuals across 61 globally distributed mammalian species with body masses ranging from 0.4 to 4000 kg. We then applied block cross-validation to quantify bias in empirical home-range estimates. Area requirements of mammals <10 kg were underestimated by a mean approximately15%, and species weighing approximately100 kg were underestimated by approximately50% on average. Thus, we found area estimation was subject to autocorrelation-induced bias that was worse for large species. Combined with the fact that extinction risk increases as body mass increases, the allometric scaling of bias we observed suggests the most threatened species are also likely to be those with the least accurate home-range estimates. As a correction, we tested whether data thinning or autocorrelation-informed home-range estimation minimized the scaling effect of autocorrelation on area estimates. Data thinning required an approximately93% data loss to achieve statistical independence with 95% confidence and was, therefore, not a viable solution. In contrast, autocorrelation-informed home-range estimation resulted in consistently accurate estimates irrespective of mass. When relating body mass to home range size, we detected that correcting for autocorrelation resulted in a scaling exponent significantly >1, meaning the scaling of the relationship changed substantially at the upper end of the mass spectrum.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectallometryen_US
dc.subjectanimal movementen_US
dc.subjectarea-based conservationen_US
dc.subjectautocorrelationen_US
dc.subjecthome rangeen_US
dc.subjectkernel density estimationen_US
dc.subjectreserve designen_US
dc.subjectscalingen_US
dc.titleEffects of body size on estimation of mammalian area requirementsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2020 The Authorsen_US
dc.subject.nsiVDP::Basale medisinske, odontologiske og veterinærmedisinske fag: 710en_US
dc.subject.nsiVDP::Basic medical, dental and veterinary sciences: 710en_US
dc.subject.nsiVDP::Basale medisinske, odontologiske og veterinærmedisinske fag: 710en_US
dc.subject.nsiVDP::Basic medical, dental and veterinary sciences: 710en_US
dc.source.volume34en_US
dc.source.journalConservation Biologyen_US
dc.source.issue4en_US
dc.identifier.doi10.1111/cobi.13495
dc.identifier.cristin1831612
dc.relation.projectNorges forskningsråd: 251112.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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