Hierarchically embedded scales of movement shape the social networks of vampire bats

被引:0
|
作者
Hartman, C. Raven A. [1 ]
Wilkinson, Gerald S. [3 ]
Razik, Imran [1 ,4 ]
Hamilton, Ian M. [1 ,2 ]
Hobson, Elizabeth A. [5 ]
Carter, Gerald G. [1 ,4 ]
机构
[1] Ohio State Univ, Dept Evolut Ecol & Organismal Biol, Columbus, OH 43210 USA
[2] Ohio State Univ, Dept Math, Columbus, OH 43210 USA
[3] Univ Maryland, Dept Biol, College Pk, MD 20742 USA
[4] Smithsonian Trop Res Inst, Balboa 084303092, Panama
[5] Univ Cincinnati, Dept Biol Sci, Cincinnati, OH 45221 USA
基金
美国国家卫生研究院;
关键词
fission-fusion; relationships; social networks; social structure; vampire bats; LONG-EARED BATS; BIG BROWN BATS; DYNAMICS; CONSEQUENCES; TRANSMISSION; EVOLUTIONARY; COLONIES;
D O I
10.1098/rspb.2023.2880
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Social structure can emerge from hierarchically embedded scales of movement, where movement at one scale is constrained within a larger scale (e.g. among branches, trees, forests). In most studies of animal social networks, some scales of movement are not observed, and the relative importance of the observed scales of movement is unclear. Here, we asked: how does individual variation in movement, at multiple nested spatial scales, influence each individual's social connectedness? Using existing data from common vampire bats (Desmodus rotundus), we created an agent-based model of how three nested scales of movement-among roosts, clusters and grooming partners-each influence a bat's grooming network centrality. In each of 10 simulations, virtual bats lacking social and spatial preferences moved at each scale at empirically derived rates that were either fixed or individually variable and either independent or correlated across scales. We found that numbers of partners groomed per bat were driven more by within-roost movements than by roost switching, highlighting that co-roosting networks do not fully capture bat social structure. Simulations revealed how individual variation in movement at nested spatial scales can cause false discovery and misidentification of preferred social relationships. Our model provides several insights into how nonsocial factors shape social networks.
引用
收藏
页数:12
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