Sex and age predict habitat selection in the world’s most geographically extensive lion population

dc.contributor.authorBauer, Dominik T.
dc.contributor.authorFinerty, Genevieve E.
dc.contributor.authorKesch, M. Kristina
dc.contributor.authorAstaras, Christos
dc.contributor.authorMontgomery, Robert A.
dc.contributor.authorHeit, David
dc.contributor.authorGanzhorn, Joerg U.
dc.contributor.authorMacdonald, David W.
dc.contributor.authorLoveridge, Andrew J.
dc.date.accessioned2025-10-15T09:24:38Z
dc.date.available2025-10-15T09:24:38Z
dc.date.issued2025-07
dc.description.abstractConservation of large carnivore populations requires effective management strategies that promote landscape-scale protection and genetic connectivity. Pivotal to the success of these strategies is sufficient evidence, including quantifying the processes that govern species distribution. We used telemetry data from 63 lions from the Kavango-Zambezi Transfrontier Conservation Area (KAZA TFCA) in southern Africa to analyze inter-demographic differences in habitat relationships using a mixed-effects resource selection analysis approach. In this semi-arid landscape, some of the most important drivers of habitat selection are surface water and precipitation, which in turn regulate prey abundance. Predicted relative probability of habitat selection was highest near water irrespective of age and sex; however, the effect of precipitation varied depending on the demographic class. Adult lions and subadult females preferred habitat with above average rainfall; however, the opposite was true for subadult males which showed a strong aversion to precipitation. Across all four demographic classes, relative probability of habitat selection was generally positively associated with higher levels of prey abundance with the exception of gemsbok which was negatively correlated with adult female, subadult male, and subadult female habitat use. The predicted distributions for all four demographic classes were widespread across multiple different land-use types, highlighting the need to extend the traditional concept of formally protected areas to include multi-use landscapes and support large-scale transboundary conservation initiatives.
dc.description.versionpublisheddeu
dc.identifier.doi10.1007/s00442-025-05744-x
dc.identifier.ppn1938441761
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/74849
dc.language.isoeng
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPanthera leo
dc.subjectResource selection
dc.subjectLandscape conservation
dc.subjectDemographic differences
dc.subjectKAZA TFCA
dc.subject.ddc570
dc.titleSex and age predict habitat selection in the world’s most geographically extensive lion populationeng
dc.typeJOURNAL_ARTICLE
dspace.entity.typePublication
kops.citation.bibtex
@article{Bauer2025-07predi-74849,
  title={Sex and age predict habitat selection in the world’s most geographically extensive lion population},
  year={2025},
  doi={10.1007/s00442-025-05744-x},
  number={7},
  volume={207},
  issn={0029-8549},
  journal={Oecologia},
  author={Bauer, Dominik T. and Finerty, Genevieve E. and Kesch, M. Kristina and Astaras, Christos and Montgomery, Robert A. and Heit, David and Ganzhorn, Joerg U. and Macdonald, David W. and Loveridge, Andrew J.},
  note={Article Number: 120}
}
kops.citation.iso690BAUER, Dominik T., Genevieve E. FINERTY, M. Kristina KESCH, Christos ASTARAS, Robert A. MONTGOMERY, David HEIT, Joerg U. GANZHORN, David W. MACDONALD, Andrew J. LOVERIDGE, 2025. Sex and age predict habitat selection in the world’s most geographically extensive lion population. In: Oecologia. Springer. 2025, 207(7), 120. ISSN 0029-8549. eISSN 1432-1939. Verfügbar unter: doi: 10.1007/s00442-025-05744-xdeu
kops.citation.iso690BAUER, Dominik T., Genevieve E. FINERTY, M. Kristina KESCH, Christos ASTARAS, Robert A. MONTGOMERY, David HEIT, Joerg U. GANZHORN, David W. MACDONALD, Andrew J. LOVERIDGE, 2025. Sex and age predict habitat selection in the world’s most geographically extensive lion population. In: Oecologia. Springer. 2025, 207(7), 120. ISSN 0029-8549. eISSN 1432-1939. Available under: doi: 10.1007/s00442-025-05744-xeng
kops.citation.rdf
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/74849">
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dcterms:issued>2025-07</dcterms:issued>
    <dc:contributor>Loveridge, Andrew J.</dc:contributor>
    <dc:creator>Finerty, Genevieve E.</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-10-15T09:24:38Z</dc:date>
    <dc:contributor>Heit, David</dc:contributor>
    <dc:contributor>Bauer, Dominik T.</dc:contributor>
    <dc:creator>Ganzhorn, Joerg U.</dc:creator>
    <dc:creator>Bauer, Dominik T.</dc:creator>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/74849/4/Bauer_2-bh991qknvnkv4.pdf"/>
    <dcterms:title>Sex and age predict habitat selection in the world’s most geographically extensive lion population</dcterms:title>
    <dc:creator>Astaras, Christos</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-10-15T09:24:38Z</dcterms:available>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:contributor>Kesch, M. Kristina</dc:contributor>
    <dcterms:abstract>Conservation of large carnivore populations requires effective management strategies that promote landscape-scale protection and genetic connectivity. Pivotal to the success of these strategies is sufficient evidence, including quantifying the processes that govern species distribution. We used telemetry data from 63 lions from the Kavango-Zambezi Transfrontier Conservation Area (KAZA TFCA) in southern Africa to analyze inter-demographic differences in habitat relationships using a mixed-effects resource selection analysis approach. In this semi-arid landscape, some of the most important drivers of habitat selection are surface water and precipitation, which in turn regulate prey abundance. Predicted relative probability of habitat selection was highest near water irrespective of age and sex; however, the effect of precipitation varied depending on the demographic class. Adult lions and subadult females preferred habitat with above average rainfall; however, the opposite was true for subadult males which showed a strong aversion to precipitation. Across all four demographic classes, relative probability of habitat selection was generally positively associated with higher levels of prey abundance with the exception of gemsbok which was negatively correlated with adult female, subadult male, and subadult female habitat use. The predicted distributions for all four demographic classes were widespread across multiple different land-use types, highlighting the need to extend the traditional concept of formally protected areas to include multi-use landscapes and support large-scale transboundary conservation initiatives.</dcterms:abstract>
    <dc:language>eng</dc:language>
    <dc:creator>Heit, David</dc:creator>
    <dc:contributor>Ganzhorn, Joerg U.</dc:contributor>
    <dc:contributor>Montgomery, Robert A.</dc:contributor>
    <dc:contributor>Astaras, Christos</dc:contributor>
    <dc:creator>Kesch, M. Kristina</dc:creator>
    <dc:creator>Loveridge, Andrew J.</dc:creator>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/74849/4/Bauer_2-bh991qknvnkv4.pdf"/>
    <dc:contributor>Finerty, Genevieve E.</dc:contributor>
    <dc:creator>Macdonald, David W.</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/74849"/>
    <dc:creator>Montgomery, Robert A.</dc:creator>
    <dc:contributor>Macdonald, David W.</dc:contributor>
  </rdf:Description>
</rdf:RDF>
kops.description.openAccessopenaccesshybrid
kops.flag.isPeerReviewedtrue
kops.flag.knbibliographytrue
kops.identifier.nbnurn:nbn:de:bsz:352-2-bh991qknvnkv4
kops.sourcefieldOecologia. Springer. 2025, <b>207</b>(7), 120. ISSN 0029-8549. eISSN 1432-1939. Verfügbar unter: doi: 10.1007/s00442-025-05744-xdeu
kops.sourcefield.plainOecologia. Springer. 2025, 207(7), 120. ISSN 0029-8549. eISSN 1432-1939. Verfügbar unter: doi: 10.1007/s00442-025-05744-xdeu
kops.sourcefield.plainOecologia. Springer. 2025, 207(7), 120. ISSN 0029-8549. eISSN 1432-1939. Available under: doi: 10.1007/s00442-025-05744-xeng
relation.isAuthorOfPublication39fa2f79-1b01-437a-a67e-7860ec8cb1a1
relation.isAuthorOfPublication.latestForDiscovery39fa2f79-1b01-437a-a67e-7860ec8cb1a1
source.bibliographicInfo.articleNumber120
source.bibliographicInfo.issue7
source.bibliographicInfo.volume207
source.identifier.eissn1432-1939
source.identifier.issn0029-8549
source.periodicalTitleOecologia
source.publisherSpringer

Dateien

Originalbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
Bauer_2-bh991qknvnkv4.pdf
Größe:
2.08 MB
Format:
Adobe Portable Document Format
Bauer_2-bh991qknvnkv4.pdf
Bauer_2-bh991qknvnkv4.pdfGröße: 2.08 MBDownloads: 38

Lizenzbündel

Gerade angezeigt 1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
license.txt
Größe:
3.96 KB
Format:
Item-specific license agreed upon to submission
Beschreibung:
license.txt
license.txtGröße: 3.96 KBDownloads: 0