Daily ranging and den usage patterns structure the spatiotemporal properties of social encounters in spotted hyenas

dc.contributor.authorStrauss, Eli D.
dc.contributor.authorJensen, Frants H.
dc.contributor.authorGersick, Andrew S.
dc.contributor.authorThomas, Mara
dc.contributor.authorHolekamp, Kay E.
dc.contributor.authorStrandburg-Peshkin, Ariana
dc.date.accessioned2024-04-08T11:09:19Z
dc.date.available2024-04-08T11:09:19Z
dc.date.issued2024-04
dc.description.abstractFission–fusion dynamics describe the tendency for members of some animal societies to associate in subgroups that change size and structure fluidly over time. These dynamics shape social complexity and social structure, but are difficult to study because they unfold simultaneously over large spatial scales. Here we use simultaneous, fine-scale GPS data from spotted hyenas to examine fission–fusion dynamics through a dyadic analysis of merge-split events between pairs of individuals. We introduce a species-agnostic framework for identifying merge-split events and discretizing them into three phases (merging, together, and splitting), enabling analysis of each phase as well as the connections among phases. Applying this framework to the hyena data, we examine the temporal and spatial properties of merges and splits between dyads and test the extent to which social encounters are driven by key locations. Specifically, we focus on communal dens—shelters for juvenile hyenas where classical observational studies often report large aggregations of adults. We find that overall, 62% of merges occurred at communal dens, supporting the idea that dens facilitate meet-ups and subsequent social behavior. Social encounters most commonly involved close approaches within a few meters between hyenas, while co-travel together occurred in only 11% of events. Comparison to permutation-based reference models suggests that independent movement decisions structure broad-scale patterns of social encounters but do not explain the fine-scale dynamics of interactions that unfold during these encounters. We reflect on how physical features such as dens can become social hotspots, causing social and spatial processes to become fundamentally intertwined.
dc.description.versionpublisheddeu
dc.identifier.doi10.1007/s00265-024-03458-3
dc.identifier.ppn1895749719
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/69749
dc.language.isoeng
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectGPS tracking
dc.subjectFission–fusion
dc.subjectSocial network
dc.subjectSocial hotspot
dc.subjectBiologging
dc.subjectMovement ecology
dc.subject.ddc570
dc.titleDaily ranging and den usage patterns structure the spatiotemporal properties of social encounters in spotted hyenaseng
dc.typeJOURNAL_ARTICLE
dspace.entity.typePublication
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@article{Strauss2024-04Daily-69749,
  year={2024},
  doi={10.1007/s00265-024-03458-3},
  title={Daily ranging and den usage patterns structure the spatiotemporal properties of social encounters in spotted hyenas},
  number={4},
  volume={78},
  issn={0340-5443},
  journal={Behavioral Ecology and Sociobiology},
  author={Strauss, Eli D. and Jensen, Frants H. and Gersick, Andrew S. and Thomas, Mara and Holekamp, Kay E. and Strandburg-Peshkin, Ariana},
  note={Article Number: 45}
}
kops.citation.iso690STRAUSS, Eli D., Frants H. JENSEN, Andrew S. GERSICK, Mara THOMAS, Kay E. HOLEKAMP, Ariana STRANDBURG-PESHKIN, 2024. Daily ranging and den usage patterns structure the spatiotemporal properties of social encounters in spotted hyenas. In: Behavioral Ecology and Sociobiology. Springer. 2024, 78(4), 45. ISSN 0340-5443. eISSN 1432-0762. Verfügbar unter: doi: 10.1007/s00265-024-03458-3deu
kops.citation.iso690STRAUSS, Eli D., Frants H. JENSEN, Andrew S. GERSICK, Mara THOMAS, Kay E. HOLEKAMP, Ariana STRANDBURG-PESHKIN, 2024. Daily ranging and den usage patterns structure the spatiotemporal properties of social encounters in spotted hyenas. In: Behavioral Ecology and Sociobiology. Springer. 2024, 78(4), 45. ISSN 0340-5443. eISSN 1432-0762. Available under: doi: 10.1007/s00265-024-03458-3eng
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