کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2427074 1105941 2011 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Effect of unknown relationships on linearity, steepness and rank ordering of dominance hierarchies: Simulation studies based on data from wild monkeys
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم دامی و جانورشناسی
پیش نمایش صفحه اول مقاله
Effect of unknown relationships on linearity, steepness and rank ordering of dominance hierarchies: Simulation studies based on data from wild monkeys
چکیده انگلیسی

The presence of unknown dyadic relationships is a common problem in constructing dominance hierarchies for groups of social animals. Although previously acknowledged, the influence of unknown relationships on hierarchy measures like linearity and steepness has not been studied in detail. Using real data-sets from four groups of wild monkeys, we illustrate how unknown relationships affect linearity and steepness of hierarchies and the consistency of rank ordering based on de Vries’ I&SI method. Monte Carlo simulations revealed significant negative linear relationships between the proportion of unknown relationships and both linearity and steepness. These simulations over-estimated steepness and linearity indices relative to additional real-data input matrices. Rank orders became inconsistent at 26–38% unknown relationships, depending on the group. Group size and the specific input matrix substantially affected how much unknown relationships influenced steepness and linearity, the values of these indices and the point at which rank order became inconsistent. We recommend caution in characterizing the dominance structure of a group with many unknown relationships, and in drawing conclusions about hierarchy linearity and steepness based on few input matrices, especially if they contain many unknown relationships. Quantitative characterizations of hierarchies are perhaps best viewed as a somewhat fluid range rather than fixed values.


► Unknown relationships affect dominance hierarchy indices and rank order.
► We used a series of reduced datasets based on observations of real animals.
► Hierarchy linearity and steepness decreased as % unknown relationships increased.
► I&SI rank order became inconsistent at 26–38% unknown relationships.
► Group size and specific input data influence effects of unknown relationships.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Behavioural Processes - Volume 88, Issue 3, November 2011, Pages 168–176
نویسندگان
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