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dc.contributor.authorBischof, Richard
dc.contributor.authorMilleret, Cyril Pierre
dc.contributor.authorDupont, Pierre
dc.contributor.authorChipperfield, Joseph
dc.contributor.authorTourani, Mahdieh
dc.contributor.authorOrdiz Fernandez, Andres Avelino
dc.contributor.authorde Valpine, Perry
dc.contributor.authorTurek, Daniel
dc.contributor.authorRoyle, J. Andrew
dc.contributor.authorGimenez, Olivier
dc.contributor.authorFlagstad, Øystein
dc.contributor.authorÅkesson, Mikael
dc.contributor.authorSvensson, Linn
dc.contributor.authorBrøseth, Henrik
dc.contributor.authorKindberg, Jonas
dc.date.accessioned2020-11-30T09:24:58Z
dc.date.available2020-11-30T09:24:58Z
dc.date.created2020-11-17T11:43:18Z
dc.date.issued2020
dc.identifier.citationProceedings of the National Academy of Sciences of the United States of America. 2020.en_US
dc.identifier.issn0027-8424
dc.identifier.urihttps://hdl.handle.net/11250/2690106
dc.description.abstractThe ongoing recovery of terrestrial large carnivores in North America and Europe is accompanied by intense controversy. On the one hand, reestablishment of large carnivores entails a recovery of their most important ecological role, predation. On the other hand, societies are struggling to relearn how to live with apex predators that kill livestock, compete for game species, and occasionally injure or kill people. Those responsible for managing these species and mitigating conflict often lack fundamental information due to a long-standing challenge in ecology: How do we draw robust population-level inferences for elusive animals spread over immense areas? Here we showcase the application of an effective tool for spatially explicit tracking and forecasting of wildlife population dynamics at scales that are relevant to management and conservation. We analyzed the world’s largest dataset on carnivores comprising more than 35,000 noninvasively obtained DNA samples from over 6,000 individual brown bears (Ursus arctos), gray wolves (Canis lupus), and wolverines (Gulo gulo). Our analyses took into account that not all individuals are detected and, even if detected, their fates are not always known. We show unequivocal quantitative evidence of large carnivore recovery in northern Europe, juxtaposed with the finding that humans are the single-most important factor driving the dynamics of these apex predators. We present maps and forecasts of the spatiotemporal dynamics of large carnivore populations, transcending national boundaries and management regimes. spatial capture–recapture | imperfect detection | noninvasive monitoring of large carnivores | density surface | vital ratesen_US
dc.language.isoengen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleEstimating and forecasting spatial population dynamics of apex predators using transnational genetic monitoringen_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.source.pagenumber8en_US
dc.source.journalProceedings of the National Academy of Sciences of the United States of Americaen_US
dc.identifier.doi10.1073/pnas.2011383117
dc.identifier.cristin1848704
dc.relation.projectNorges forskningsråd: 286886en_US
dc.relation.projectAndre: Peder Sather Granten_US
dc.relation.projectAndre: Norwegian Environment Agencyen_US
dc.relation.projectAndre: Swedish Environmental Protection Agencyen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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