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  1. Sep 9, 2020 · We found that for 75% of traits (15/20), one rank metric performed better than the other. Strikingly, all male traits were best predicted by simple ordinal rank, whereas female traits were evenly split between proportional and simple ordinal rank.

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      We found that for 75% of traits (15/20), one rank metric...

  2. Here, we compare the ability of two dominance rank metricssimple ordinal rank and proportional or‘stan-dardized rank—to predict 20 traits in a wild baboon population in Amboseli, ’ Kenya.

    • Emily J Levy, Matthew N Zipple, Emily McLean, Fernando A Campos, Fernando A Campos, Mauna Dasari, Ar...
    • 2020
  3. Sep 9, 2020 · 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. We found that for 75% of traits (15/20), one rank metric performed better than the other.

    • Emily J Levy, Matthew N Zipple, Emily McLean, Fernando A Campos, Fernando A Campos, Mauna Dasari, Ar...
    • 2020
  4. Across group-living animals, linear dominance hierarchies lead to disparities in access to resources, health outcomes and reproductive performance. Studies of how dominance rank predicts these traits 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 ...

  5. May 2, 2020 · 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...

  6. Sep 9, 2020 · We found that for 75% of traits (15/20), one rank metric performed better than the other. Strikingly, all male traits were best predicted by simple ordinal rank, whereas female traits were evenly split between proportional and simple ordinal rank.

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  8. Here we compare the ability of two dominance rank metricsordinal rank and proportional or ‘standardized’ rank—to predict 20 distinct traits in a well-studied wild baboon population in Amboseli, Kenya.