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Sep 9, 2020 · A researcher who compares proportional and simple ordinal rank models and finds that simple ordinal rank is a much stronger predictor of a trait (e.g. male access to females; figures 2 and 3; electronic supplementary material, table S5) can conclude that average per capita access to the resource declines as hierarchy size increases, and that competition for that resource is primarily a density ...
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A researcher who compares proportional and simple ordinal...
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Sep 9, 2020 · Here, we compare the ability of two dominance rank metrics-simple ordinal rank and proportional or 'standardized' rank-to predict 20 traits in a wild baboon population in Amboseli, Kenya. We propose that simple ordinal rank best predicts traits when competition is density-dependent, whereas proportional rank best predicts traits when ...
- Emily J Levy, Matthew N Zipple, Emily McLean, Fernando A Campos, Fernando A Campos, Mauna Dasari, Ar...
- 2020
Sep 9, 2020 · For traits whose bars are to the left of the dashed lines, simple ordinal rank was a better pr edictor of the trait than proportional rank (11/20), and vice versa for traits whose bars are to the ...
May 2, 2020 · However, traits related to competition for social and mating partners are an exception to this sex-biased pattern: these traits were better predicted by ordinal rank than by proportional rank for ...
May 2, 2020 · 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 ...
rank-related traits. In doing so, we identify theoretical scenarios in which we expect either simple ordinal or pro-portional rank to be a better measure of competitive interactions and, therefore, a better predictor of rank-related traits. Second, we identify which rank metric (simple ordinal or proportional) best predicts a wide range of rank ...
People also ask
Does simple ordinal rank predict competition?
How does dominance rank predict a group-living animal?
Which rank metric predicts traits when competition is density-independent?
Can different dominance rank metrics predict multiple traits in the same population?
Do simple ordinal rank metrics predict rank-related traits in Amboseli baboons?
Which rank metric is best for predicting traits?
Here, we compare the ability of two dominance rank metrics— simple ordinal rank and proportional or `standardized' rank— to predict 20 traits in a wild baboon population in Amboseli, Kenya. We propose that simple ordinal rank best predicts traits when competition is density-dependent, whereas proportional rank best predicts traits when competition is density-independent.
