Unraveling fission-fusion dynamics: how subgroup properties and dyadic interactions influence individual decisions
Unraveling fission-fusion dynamics: how subgroup properties and dyadic interactions influence individual decisions
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揭示裂变-聚变动力学：子群属性和二元相互作用如何影响个体决策
DOI：
10.1007/s00265-014-1733-8
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发表时间：
2014
影响因子：
2.3
通讯作者：
J. Morales
中科院分区：
文献类型：
--
作者：
G. Ramos;J. Morales
许多物种表现出裂变-融合群体动力学，因为它在灵活利用异质环境方面具有明显的优势。然而，这些动态产生的机制尚不清楚。我们使用分层贝叶斯模型来理清对蜘蛛猴（Ateles geoffroyi）个体裂变和融合的不同影响，包括裂变融合动力学的三个维度（子群大小、分散度和组成）。此外，我们还考虑了同时离开或加入子群体的其他人的影响。我们发现，对个体裂变和融合最重要的影响是其他个体是否也在做同样的事情。亚群大小和分散度对个体裂变或融合的概率没有明显影响，而个体倾向于离开偏向异性的亚群并加入偏向同性的亚群。在裂变和融合过程中个体间的影响所构建的网络是有凝聚力的，并且没有表现出性别或程度的分类性。个人在两个网络中的程度相似，并且每个人都受到不同群体的影响，这表明社交网络具有很高的流动性。我们认为，这些网络反映了个体在裂变和融合过程中相互跟随时环境信息流动的方式。
Many species show fission-fusion group dynamics because it has clear advantages for flexibly exploiting heterogeneous environments. However, the mechanisms by which these dynamics arise are not well known. We used a hierarchical Bayesian model to disentangle the different influences on spider monkey (Ateles geoffroyi) individual fissions and fusions, including the three dimensions of fission-fusion dynamics (subgroup size, dispersion, and composition). Furthermore, we considered the influences of other individuals also leaving or joining a subgroup at the same time. We found that the most important influence on individual fissions and fusions is whether other individuals are also doing the same. Subgroup size and dispersion did not have clear effects on the probability that an individual fissioned or fusioned, while individuals tended to leave subgroups that were biased toward the opposite sex and to join subgroups that were biased toward their own sex. The networks constructed by the inter-individual influences during fissions and fusions were cohesive and did not show assortativity by sex or by degree. Individuals had a similar degree in both networks and each was influenced by a different set of individuals, suggesting a high fluidity in the social networks. We suggest that these networks reflect the way in which information about the environment flows as individuals follow one another during fissions and fusions.
影响因子：
2.5
作者：
King, Andrew J.;Sueur, Cedric;Cowlishaw, Guy
通讯作者：
Cowlishaw, Guy