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

被引:0
|
作者
Eli D. Strauss
Frants H. Jensen
Andrew S. Gersick
Mara Thomas
Kay E. Holekamp
Ariana Strandburg-Peshkin
机构
[1] University of Konstanz,Biology Department
[2] Department for the Ecology of Animal Societies,Centre for the Advanced Study of Collective Behaviour
[3] Max Planck Institute of Animal Behavior,Department of Integrative Biology and Program in Ecology, Evolution, and Behavior
[4] University of Konstanz,Department of Ecoscience
[5] Michigan State University,Biology Department
[6] Aarhus University,Biology Department
[7] Syracuse University,Department of Ecology and Evolutionary Biology
[8] Woods Hole Oceanographic Institution,undefined
[9] Princeton University,undefined
来源
关键词
Fission–fusion; Movement ecology; Biologging; Social hotspot; Social network; GPS tracking;
D O I
暂无
中图分类号
学科分类号
摘要
Fission–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.
引用
收藏
相关论文
共 6 条
  • [1] Daily ranging and den usage patterns structure the spatiotemporal properties of social encounters in spotted hyenas
    Strauss, Eli D.
    Jensen, Frants H.
    Gersick, Andrew S.
    Thomas, Mara
    Holekamp, Kay E.
    Strandburg-Peshkin, Ariana
    [J]. BEHAVIORAL ECOLOGY AND SOCIOBIOLOGY, 2024, 78 (04)
  • [2] Rank-dependent social inheritance determines social network structure in spotted hyenas
    Ilany, Amiyaal
    Holekamp, Kay E.
    Akcay, Erol
    [J]. SCIENCE, 2021, 373 (6552) : 348 - +
  • [3] Accelerometer-based predictions of behaviour elucidate factors affecting the daily activity patterns of spotted hyenas
    Minasandra, Pranav
    Jensen, Frants H.
    Gersick, Andrew S.
    Holekamp, Kay E.
    Strauss, Eli D.
    Strandburg-Peshkin, Ariana
    [J]. ROYAL SOCIETY OPEN SCIENCE, 2023, 10 (11):
  • [4] Social, state-dependent and environmental modulation of faecal corticosteroid levels in free-ranging female spotted hyenas
    Goymann, W
    East, ML
    Wachter, B
    Höner, OP
    Möstl, E
    Van't Hof, TJ
    Hofer, H
    [J]. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2001, 268 (1484) : 2453 - 2459
  • [5] Investigating daily temporal patterns of social media usage by cellphone log
    Yu, Chen-Yi
    [J]. PROCEEDINGS OF THE 2017 PACIFIC NEIGHBORHOOD CONSORTIUM ANNUAL CONFERENCE AND JOINT MEETINGS (PNC), 2017, : 156 - 161
  • [6] Exploring the Spatiotemporal Patterns of Residents' Daily Activities Using Text-Based Social Media Data: A Case Study of Beijing, China
    Liu, Jian
    Meng, Bin
    Wang, Juan
    Chen, Siyu
    Tian, Bin
    Zhi, Guoqing
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (06)