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dc.contributor.authorSkarpaas, Olav
dc.contributor.authorBlumentrath, Stefan
dc.contributor.authorEvju, Marianne
dc.contributor.authorSverdrup-Thygeson, Anne
dc.date.accessioned2017-09-08T10:16:00Z
dc.date.available2017-09-08T10:16:00Z
dc.date.created2017-09-04T13:31:41Z
dc.date.issued2017
dc.identifier.issn2045-7758
dc.identifier.urihttp://hdl.handle.net/11250/2453729
dc.description.abstractOver the past centuries, humans have transformed large parts of the biosphere, and there is a growing need to understand and predict the distribution of biodiversity hotspots influenced by the presence of humans. Our basic hypothesis is that human influence in the Anthropocene is ubiquitous, and we predict that biodiversity hot spot modeling can be improved by addressing three challenges raised by the increasing ecological influence of humans: (i) anthropogenically modified responses to individual ecological factors, (ii) fundamentally different processes and predictors in landscape types shaped by different land use histories and (iii) a multitude and complexity of natural and anthropogenic processes that may require many predictors and even multiple models in different landscape types. We modeled the occurrence of veteran oaks in Norway, and found, in accordance with our basic hypothesis and predictions, that humans influence the distribution of veteran oaks throughout its range, but in different ways in forests and open landscapes. In forests, geographical and topographic variables related to the oak niche are still important, but the occurrence of veteran oaks is shifted toward steeper slopes, where logging is difficult. In open landscapes, land cover variables are more important, and veteran oaks are more common toward the north than expected from the fundamental oak niche. In both landscape types, multiple predictor variables representing ecological and human-influenced processes were needed to build a good model, and several models performed almost equally well. Models accounting for the different anthropogenic influences on landscape structure and processes consistently performed better than models based exclusively on natural biogeographical and ecological predictors. Thus, our results for veteran oaks clearly illustrate the challenges to distribution modeling raised by the ubiquitous influence of humans, even in a moderately populated region, but also show that predictions can be improved by explicitly addressing these anthropogenic complexities.nb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjecthollow oaksnb_NO
dc.subjectforestnb_NO
dc.subjectland use changenb_NO
dc.subjectlandscape structurenb_NO
dc.subjectlarge treesnb_NO
dc.subjectpresence-absencenb_NO
dc.subjectQuercus petraeanb_NO
dc.subjectQuercus roburnb_NO
dc.subjectspecies distribution modelingnb_NO
dc.titlePrediction of biodiversity hotspots in the Anthropocene: The case of veteran oaksnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Zoologiske og botaniske fag: 480nb_NO
dc.subject.nsiVDP::Zoology and botany: 480nb_NO
dc.source.journalEcology and Evolutionnb_NO
dc.identifier.doi10.1002/ece3.3305
dc.identifier.cristin1490768
dc.relation.projectNorges forskningsråd: 208434/nb_NO
dc.relation.projectMiljødirektoratet: ARKOnb_NO
cristin.unitcode7511,6,0,0
cristin.unitnameOslo
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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