five

Data from: The importance of partner inclusion criteria for understanding drivers of social variation among individuals: Data from blue monkeys

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DataCite Commons2025-06-01 更新2025-04-10 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.b2rbnzsns
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Individuals in social species vary in their sociality, allowing inferences about how social ties influence fitness, but also raising questions about the drivers of observed variation in sociality. We examined how sociodemographic, social, and individual factors were associated with inter-individual variation in the sociality of wild blue monkeys (Cercopithecus mitis stuhlmanni), and how these associations are affected by the set of partners included in the analysis. Using data from focal follows of adult females in 12 groups over 13 years, we measured individual variation in five measures of sociality (number of ties, number of strong ties, number of weak ties, total tie strength, and evenness of tie strength), binned in annual periods. We used linear mixed models to assess the effects of sociodemographic, social, and individual factors on these five measures. We repeated this analysis while limiting observations to peer partners (other adult females) or to non-peer partners (juveniles and adult males) to evaluate how including different sets of partners in the analysis affected the results. Three data files were used in these analyses, each the result of applying different criteria for who was included as a potential partner for the adult female subjects.

群居物种的个体在社会性水平上存在差异,这既可为推断社会联结如何影响个体适合度提供依据,也引发了关于社会性观测差异背后驱动因素的研究议题。本研究以野生青猴(Cercopithecus mitis stuhlmanni)为研究对象,探讨社会人口学、社会互动及个体层面的因素如何与个体间社会性差异相关联,同时分析纳入分析的社交伙伴群体如何影响这些关联关系。本研究基于13年间对12个群体中成年雌性个体的焦点取样数据,按年度周期划分,测量了五项社会性指标的个体间差异,具体包括联结数量、强联结数量、弱联结数量、总联结强度以及联结强度均匀度。我们采用线性混合模型,评估社会人口学、社会互动及个体因素对上述五项社会性指标的影响。随后我们分别将观测对象限定为同伴伙伴(其他成年雌性)或非同伴伙伴(幼体与成年雄性),重复开展上述分析,以探究纳入不同类型社交伙伴群体对分析结果的影响。本研究共使用三份数据文件完成上述分析,每份文件均基于不同的筛选标准,用以确定成年雌性研究对象的潜在社交伙伴。
提供机构:
Dryad
创建时间:
2024-03-06
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