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Sep 9, 2020 · The empirical relationship between male hierarchy size and the number of oestrous females (Amboseli baboon data; black points) is positive, but the slope is closer to the orange line than the purple line. Thus, we expect simple ordinal rank to best predict mating success.
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The empirical relationship between male hierarchy size and...
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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 found that observed mating success was generally a good predictor of paternity 41 success, that high-ranking males had higher paternity success than lower-ranking males, and that 42 male density and male rank stability contributed to variance in male paternity success.
We found that observed mating success was generally a good predictor of paternity success, that high-ranking males had higher paternity success than lower-ranking males, and that male density and male rank stability contributed to variance in male paternity success.
Abstract. Sexual selection theory predicts that males in polygynous species of mammals will invest more reproductive effort in mate competition than parental investment. A corollary to this prediction is that males will mount a stress response when their access to mates is threatened.
- Dorothy L. Cheney, Catherine Crockford, Anne L. Engh, Roman M. Wittig, Robert M. Seyfarth
- 10.1007/s00265-014-1843-3
- 2015
- 2015/02
Nov 1, 2006 · We found that observed mating success was generally a good predictor of paternity success, that high-ranking males had higher paternity success than lower-ranking males, and that male density and male rank stability contributed to variance in male paternity success.
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Does simple ordinal rank predict oestrous Baboon mating success?
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Does mating success predict paternity success?
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Nov 1, 2006 · 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.