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2018-06-12Zeitschriftenartikel DOI: 10.18452/20129
Home Range Size and Resource Use of Breeding and Non-breeding White Storks Along a Land Use Gradient
dc.contributor.authorZurell, Damaris
dc.contributor.authorWehrden, Henrik von
dc.contributor.authorRotics, Shay
dc.contributor.authorKaatz, Michael
dc.contributor.authorGroß, Helge
dc.contributor.authorSchlag, Lena
dc.contributor.authorSchäfer, Merlin
dc.contributor.authorSapir, Nir
dc.contributor.authorTurjeman, Sondra
dc.contributor.authorWikelski, Martin
dc.contributor.authorNathan, Ran
dc.contributor.authorJeltsch, Florian
dc.date.accessioned2019-07-01T10:31:25Z
dc.date.available2019-07-01T10:31:25Z
dc.date.issued2018-06-12none
dc.identifier.issn2296-701X
dc.identifier.other10.3389/fevo.2018.00079
dc.identifier.urihttp://edoc.hu-berlin.de/18452/20880
dc.description.abstractBiotelemetry is increasingly used to study animal movement at high spatial and temporal resolution and guide conservation and resource management. Yet, limited sample sizes and variation in space and habitat use across regions and life stages may compromise robustness of behavioral analyses and subsequent conservation plans. Here, we assessed variation in (i) home range sizes, (ii) home range selection, and (iii) fine-scale resource selection of white storks across breeding status and regions and test model transferability. Three study areas were chosen within the Central German breeding grounds ranging from agricultural to fluvial and marshland. We monitored GPS-locations of 62 adult white storks equipped with solar-charged GPS/3D-acceleration (ACC) transmitters in 2013–2014. Home range sizes were estimated using minimum convex polygons. Generalized linear mixed models were used to assess home range selection and fine-scale resource selection by relating the home ranges and foraging sites to Corine habitat variables and normalized difference vegetation index in a presence/pseudo-absence design. We found strong variation in home range sizes across breeding stages with significantly larger home ranges in non-breeding compared to breeding white storks, but no variation between regions. Home range selection models had high explanatory power and well predicted overall density of Central German white stork breeding pairs. Also, they showed good transferability across regions and breeding status although variable importance varied considerably. Fine-scale resource selection models showed low explanatory power. Resource preferences differed both across breeding status and across regions, and model transferability was poor. Our results indicate that habitat selection of wild animals may vary considerably within and between populations, and is highly scale dependent. Thereby, home range scale analyses show higher robustness whereas fine-scale resource selection is not easily predictable and not transferable across life stages and regions. Such variation may compromise management decisions when based on data of limited sample size or limited regional coverage. We thus recommend home range scale analyses and sampling designs that cover diverse regional landscapes and ensure robust estimates of habitat suitability to conserve wild animal populations.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject3D-acceleration sensoreng
dc.subjectbiotelemetryeng
dc.subjectCiconia ciconiaeng
dc.subjecthome range selectioneng
dc.subjectresource selectioneng
dc.subject.ddc900 Geschichte, Geografie und Hilfswissenschaftennone
dc.titleHome Range Size and Resource Use of Breeding and Non-breeding White Storks Along a Land Use Gradientnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/20880-1
dc.identifier.doihttp://dx.doi.org/10.18452/20129
dc.type.versionpublishedVersionnone
local.edoc.container-titleFrontiers in Ecology and Evolutionnone
local.edoc.pages11none
local.edoc.anmerkungThis article was supported by the German Research Foundation (DFG) and the Open Access Publication Fund of Humboldt-Universität zu Berlin.
local.edoc.type-nameZeitschriftenartikel
local.edoc.institutionMathematisch-Naturwissenschaftliche Fakultätnone
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-publisher-nameFrontiers Medianone
local.edoc.container-publisher-placeLausannenone
local.edoc.container-volume6none
dc.description.versionPeer Reviewednone
local.edoc.container-articlenumber79

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