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

IF 1.9 2区 生物学 Q3 BEHAVIORAL SCIENCES Behavioral Ecology and Sociobiology Pub Date : 2024-04-03 DOI:10.1007/s00265-024-03458-3
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Abstract

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.

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斑鬣狗的日常活动和巢穴使用模式决定了其社会交往的时空特性
摘要 裂变-融合动力学描述了一些动物社会的成员结成亚群的趋势,这些亚群的规模和结构随着时间的推移而不断变化。这些动态变化决定了社会复杂性和社会结构,但由于它们在大空间尺度上同时展开,因此很难研究。在这里,我们利用斑鬣狗的同步、精细尺度 GPS 数据,通过对一对个体之间的合并-分裂事件进行二元分析,来研究裂变-融合动态。我们引入了一个与物种无关的框架来识别合并-分裂事件,并将其离散化为三个阶段(合并、在一起和分裂),从而能够分析每个阶段以及各阶段之间的联系。我们将这一框架应用于鬣狗数据中,研究了二元组之间合并和分裂的时间和空间特性,并检验了社交相遇在多大程度上受关键地点的驱动。具体来说,我们将重点放在幼年鬣狗的公共巢穴--庇护所上,经典的观察研究通常会报告成年鬣狗在这里大量聚集。我们发现,总体而言,62%的会合发生在公共巢穴,这支持了巢穴有助于会合和随后的社会行为的观点。社交相遇最常见的情况是鬣狗之间几米内的近距离接触,而共同旅行的情况仅占 11%。与基于排列组合的参考模型的比较表明,独立的运动决定构建了社会相遇的大尺度模式,但并不能解释相遇期间展开的细尺度互动动态。我们思考了巢穴等物理特征如何成为社会热点,导致社会和空间过程从根本上交织在一起。
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来源期刊
CiteScore
3.90
自引率
8.70%
发文量
146
审稿时长
3 months
期刊介绍: The journal publishes reviews, original contributions and commentaries dealing with quantitative empirical and theoretical studies in the analysis of animal behavior at the level of the individual, group, population, community, and species.
期刊最新文献
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