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dc.contributor.authorOeser, Julian
dc.contributor.authorHeurich, Marco Dietmar
dc.contributor.authorKramer-Schadt, Stephanie A.
dc.contributor.authorMattisson, Jenny
dc.contributor.authorKrofel, Miha
dc.contributor.authorKrojerová-Prokešová, Jarmila
dc.contributor.authorZimmermann, Fridolin
dc.contributor.authorAnders, Ole
dc.contributor.authorAndrén, Henrik
dc.contributor.authorBagrade, Guna
dc.contributor.authorBelotti, Elisa
dc.contributor.authorBreitenmoser-Würsten, Christine
dc.contributor.authorBufka, Luděk
dc.contributor.authorCerne, Rok
dc.contributor.authorDrouet-Hoguet, Nolwenn
dc.contributor.authorDuľa, Martin
dc.contributor.authorFuxjäger, Christian
dc.contributor.authorGomerčić, Tomislav
dc.contributor.authorJędrzejewski, Włodzimierz
dc.contributor.authorKont, Raido
dc.contributor.authorKoubek, Petr
dc.contributor.authorKowalczyk, Rafał
dc.contributor.authorKusak, Josip
dc.contributor.authorKubala, Jakub
dc.contributor.authorKutal, Miroslav
dc.contributor.authorLinnell, John Durrus
dc.contributor.authorMolinari-Jobin, Anja
dc.contributor.authorMännil, Peep
dc.contributor.authorMiddelhoff, Tomma Lilli
dc.contributor.authorOdden, John
dc.contributor.authorOkarma, Henryk
dc.contributor.authorSchmidt, Krzysztof
dc.contributor.authorSigner, Sven
dc.contributor.authorTám, Branislav
dc.contributor.authorVogt, Kristina
dc.contributor.authorKuemmerle, Tobias
dc.description.abstractAim: The increasing availability of animal tracking datasets collected across many sites provides new opportunities to move beyond local assessments to enable de-tailed and consistent habitat mapping at biogeographical scales. However, integrating wildlife datasets across large areas and study sites is challenging, as species' varying responses to different environmental contexts must be reconciled. Here, we compare approaches for large-area habitat mapping and assess available habitat for a recolo-nizing large carnivore, the Eurasian lynx (Lynx lynx).Location: Europe.Methods: We use a continental-scale animal tracking database (450 individuals from 14 study sites) to systematically assess modelling approaches, comparing (1) global strategies that pool all data for training versus building local, site-specific models and combining them, (2) different approaches for incorporating regional variation in habi-tat selection and (3) different modelling algorithms, testing nonlinear mixed effects models as well as machine-learning algorithms.Results: Testing models on training sites and simulating model transfers, global and local modelling strategies achieved overall similar predictive performance. Model performance was the highest using flexible machine-learning algorithms and when incorporating variation in habitat selection as a function of environmental variation. Our best-performing model used a weighted combination of local, site-specific habi-tat models. Our habitat maps identified large areas of suitable, but currently unoccu-pied lynx habitat, with many of the most suitable unoccupied areas located in regions that could foster connectivity between currently isolated populations.Main Conclusions: We demonstrate that global and local modelling strategies can achieve robust habitat models at the continental scale and that considering regional variation in habitat selection improves broad-scale habitat mapping. More generally, we highlight the promise of large wildlife tracking databases for large-area habitat mapping. Our maps provide the first high-resolution, yet continental assessment of lynx habitat across Europe, providing a consistent basis for conservation planning for restoring the species within its former range.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.subjectanimal trackingen_US
dc.subjecteurasian lynxen_US
dc.subjecthabitat suitabilityen_US
dc.subjectlarge carnivoreen_US
dc.subjectarge-area mappingen_US
dc.subjectLynx lynxen_US
dc.titleIntegrating animal tracking datasets at a continental scale for mapping Eurasian lynx habitaten_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.rights.holder© 2023 The Authors. Diversity and Distributions published by John Wiley & Sons Ltd.en_US
dc.subject.nsiVDP::Zoologiske og botaniske fag: 480en_US
dc.subject.nsiVDP::Zoology and botany: 480en_US
dc.source.journalDiversity and Distributions: A journal of biological invasions and biodiversityen_US

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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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