首页> 外文期刊>Oecologia >Network metrics reveal differences in social organization between two fission–fusion species, Grevy’s zebra and onager
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Network metrics reveal differences in social organization between two fission–fusion species, Grevy’s zebra and onager

机译:网络指标揭示了两个裂变融合物种(Grevy的斑马和长颈鹿)之间的社会组织差异

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For species in which group membership frequently changes, it has been a challenge to characterize variation in individual interactions and social structure. Quantifying this variation is necessary to test hypotheses about ecological determinants of social patterns and to make predictions about how group dynamics affect the development of cooperative relationships and transmission processes. Network models have recently become popular for analyzing individual contacts within a population context. We use network metrics to compare populations of Grevy’s zebra (Equus grevyi) and onagers (Equus hemionus khur). These closely related equids, previously described as having the same social system, inhabit environments differing in the distribution of food, water, and predators. Grevy’s zebra and onagers are one example of many sets of coarsely similar fission–fusion species and populations, observed elsewhere in other ungulates, primates, and cetaceans. Our analysis of the population association networks reveals contrasts consistent with their distinctive environments. Grevy’s zebra individuals are more selective in their association choices. Grevy’s zebra form stable cliques, while onager associations are more fluid. We find evidence that females associate assortatively by reproductive state in Grevy’s zebra but not in onagers. The current approach demonstrates the utility of network metrics for identifying fine-grained variation among individuals and populations in association patterns. From our analysis, we can make testable predictions about behavioral mechanisms underlying social structure and its effects on transmission processes.
机译:对于群体成员频繁变化的物种,表征个体相互作用和社会结构的变化一直是一个挑战。量化这种变化对于检验关于社会模式的生态决定因素的假设以及对群体动力如何影响合作关系和传播过程的发展做出预测是必要的。网络模型最近在分析人口环境中的个人联系方面变得很流行。我们使用网络指标来比较Grevy的斑马(Equus greevyi)和onagers(Equus hemionus khur)的种群。这些密切相关的动物,以前被描述为具有相同的社会制度,居住的环境在食物,水和掠食者的分布上有所不同。 Grevy的斑马和长食者是许多类似的裂变-融合物种和种群的集合的一个例子,在其他有蹄类动物,灵长类动物和鲸类动物的其他地方也观察到。我们对人口协会网络的分析揭示了与其独特环境一致的对比。 Grevy的斑马个体在交往选择上更具选择性。 Grevy的斑马形成稳定的集团,而onager联想则更加流畅。我们发现有证据表明,雌性在Grevy的斑马中与生殖状态有不同的联系,而在食性动物中则没有。当前的方法证明了网络指标可用于识别关联模式中的个体和群体之间的细粒度变化。通过我们的分析,我们可以对构成社会结构的行为机制及其对传播过程的影响做出可验证的预测。

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