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Assessing differences in connectivity based on habitat versus movement models for brown bears in the Carpathians


Assessing differences in connectivity based on habitat versus movement models for brown bears in the Carpathians

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dc.contributor.author Ziółkowska, Elżbieta [SAP14001098] pl
dc.contributor.author Ostapowicz, Katarzyna [SAP11019566] pl
dc.contributor.author Radeloff, Volker C. pl
dc.contributor.author Kuemmerle, Tobias pl
dc.contributor.author Sergiel, Agnieszka pl
dc.contributor.author Zwijacz-Kozica, Tomasz pl
dc.contributor.author Zięba, Filip pl
dc.contributor.author Śmietana, Wojciech pl
dc.contributor.author Selva, Nuria pl
dc.date.accessioned 2016-10-13T07:29:19Z
dc.date.available 2016-10-13T07:29:19Z
dc.date.issued 2016 pl
dc.identifier.issn 0921-2973 pl
dc.identifier.uri http://ruj.uj.edu.pl/xmlui/handle/item/31433
dc.language eng pl
dc.rights Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/pl/legalcode *
dc.title Assessing differences in connectivity based on habitat versus movement models for brown bears in the Carpathians pl
dc.type JournalArticle pl
dc.description.physical 1863-1882 pl
dc.description.additional Bibliogr. s. 1879-1882 pl
dc.abstract.en Context. Connectivity assessments typically rely on resistance surfaces derived from habitat models, assuming that higher-quality habitat facilitates movement. This assumption remains largely untested though, and it is unlikely that the same environmental factors determine both animal movements and habitat selection, potentially biasing connectivity assessments. Objectives. We evaluated how much connectivity assessments differ when based on resistance surfaces from habitat versus movement models. In addition, we tested how sensitive connectivity assessments are with respect to the parameterization of the movement models. Methods. We parameterized maximum entropy models to predict habitat suitability, and step selection functions to derive movement models for brown bear (Ursus arctos) in the northeastern Carpathians. We compared spatial patterns and distributions of resistance values derived from those models, and locations and characteristics of potential movement corridors. Results. Brown bears preferred areas with high forest cover, close to forest edges, high topographic complexity, and with low human pressure in both habitat and movement models. However, resistance surfaces derived from the habitat models based on predictors measured at broad and medium scales tended to underestimate connectivity, as they predicted substantially higher resistance values for most of the study area, including corridors. Conclusions. Our findings highlighted that connectivity assessments should be based on movement information if available, rather than generic habitat models. However, the parameterization of movement models is important, because the type of movement events considered, and the sampling method of environmental covariates can greatly affect connectivity assessments, and hence the predicted corridors. pl
dc.subject.en corridors pl
dc.subject.en Ursus arctos pl
dc.subject.en GPS telemetry pl
dc.subject.en maximum entropy pl
dc.subject.en resistance surface pl
dc.subject.en step selection functions pl
dc.subject.en least-cost modeling pl
dc.description.volume 31 pl
dc.description.number 8 pl
dc.identifier.doi 10.1007/s10980-016-0368-8 pl
dc.identifier.eissn 1572-9761 pl
dc.title.journal Landscape Ecology pl
dc.language.container eng pl
dc.affiliation Wydział Biologii i Nauk o Ziemi : Instytut Geografii i Gospodarki Przestrzennej pl
dc.subtype Article pl
dc.rights.original CC-BY; inne; ostateczna wersja wydawcy; w momencie opublikowania; 0; pl
dc.identifier.project ROD UJ / P pl
.pointsMNiSW [2016 A]: 35

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Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa Except where otherwise noted, this item's license is described as Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa