May 2, 2020

Comparing proportional and ordinal dominance ranks reveals multiple competitive landscapes in an animal society

BioRxiv : the Preprint Server for Biology
E. J. LevyJ. Altmann

Abstract

Across group-living animals, linear dominance hierarchies lead to disparities in access to resources, health outcomes, and reproductive performance. Studies of how dominance rank affects these outcomes typically employ one of several dominance rank metrics without examining the assumptions each metric makes about its underlying competitive processes. Here we compare the ability of two dominance rank metrics - ordinal rank and proportional or 'standardized' rank - to predict 20 distinct traits in a well-studied wild baboon population in Amboseli, Kenya. We propose that ordinal rank best predicts outcomes when competition is density-dependent, while proportional rank best predicts outcomes when competition is density-independent. We found that for 75% (15/20) of the traits, one of the two rank metrics performed better than the other. Strikingly, all male traits were better predicted by ordinal than by proportional rank, while female traits were evenly split between being better predicted by proportional or ordinal rank. Hence, male and female traits are shaped by different competitive regimes: males' competitive environments are largely driven by density-dependent resource access (e.g., access to estrus females), while females' c...Continue Reading

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