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Multiple spatial behaviours govern social network positions in a wild ungulate
Ecology Letters ( IF 8.8 ) Pub Date : 2021-02-14 , DOI: 10.1111/ele.13684
Gregory F. Albery 1, 2 , Alison Morris 2 , Sean Morris 2 , Josephine M. Pemberton 2 , Tim H. Clutton‐Brock 2, 3 , Daniel H. Nussey 2 , Josh A. Firth 4, 5
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The structure of wild animal social systems depends on a complex combination of intrinsic and extrinsic drivers. Population structuring and spatial behaviour are key determinants of individuals’ observed social behaviour, but quantifying these spatial components alongside multiple other drivers remains difficult due to data scarcity and analytical complexity. We used a 43‐year dataset detailing a wild red deer population to investigate how individuals’ spatial behaviours drive social network positioning, while simultaneously assessing other potential contributing factors. Using Integrated Nested Laplace Approximation (INLA) multi‐matrix animal models, we demonstrate that social network positions are shaped by two‐dimensional landscape locations, pairwise space sharing, individual range size, and spatial and temporal variation in population density, alongside smaller but detectable impacts of a selection of individual‐level phenotypic traits. These results indicate strong, multifaceted spatiotemporal structuring in this society, emphasising the importance of considering multiple spatial components when investigating the causes and consequences of sociality.

中文翻译:

多种空间行为控制着有蹄类动物的社交网络位置

野生动物社会系统的结构取决于内在和外在驱动因素的复杂结合。人口结构和空间行为是个人观察到的社会行为的关键决定因素,但是由于数据稀缺和分析复杂性,量化这些空间成分以及其他多个驱动因素仍然很困难。我们使用了一个为期43年的数据集,详细描述了野生马鹿种群,以调查个体的空间行为如何驱动社交网络定位,同时评估其他潜在的促成因素。通过使用集成嵌套拉普拉斯逼近(INLA)多矩阵动物模型,我们证明了社交网络的位置是由二维景观位置,成对空间共享,个体范围大小以及人口密度的时空变化形成的,以及个体水平表型特征选择的较小但可检测的影响。这些结果表明,在这个社会中,存在着强有力的,多方面的时空结构,从而在研究社会性的原因和后果时,强调了考虑多个空间成分的重要性。
更新日期:2021-03-16
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