Pengzhen Huang
Relationship between dominance hierarchy steepness and rank-relatedness of benefits in primates.
Huang, Pengzhen; Arlet, Malgorzata E; Balasubramaniam, Krishna N; Beisner, Brianne A; Bliss-Moreau, Eliza; Brent, Lauren J N; Duboscq, Julie; García-Nisa, Iván; Kaburu, Stefano S K; Kendal, Rachel; Konečná, Martina; Marty, Pascal R; McCowan, Brenda; Micheletta, Jérôme; Ostner, Julia; Schülke, Oliver; Schino, Gabriele; Majolo, Bonaventura
Authors
Malgorzata E Arlet
Krishna N Balasubramaniam
Brianne A Beisner
Eliza Bliss-Moreau
Lauren J N Brent
Julie Duboscq
Iván García-Nisa
Stefano S K Kaburu
Professor Rachel Kendal rachel.kendal@durham.ac.uk
Professor
Martina Konečná
Pascal R Marty
Brenda McCowan
Jérôme Micheletta
Julia Ostner
Oliver Schülke
Gabriele Schino
Bonaventura Majolo
Abstract
In animal social groups, the extent to which individuals consistently win agonistic interactions and their ability to monopolize resources represent 2 core aspects of their competitive regime. However, whether these two aspects are closely correlated within groups has rarely been studied. Here, we tested the hypothesis that hierarchy steepness, which is generally used to represent power differentials between group members, predicts the variation in the distribution of fitness-related benefits (i.e. fecundity, infant survival, mating success, and feeding success) in relation to individual dominance ranks. We tested this hypothesis in primate groups using comparative phylogenetic meta-analytical techniques. Specifically, we reviewed published and unpublished studies to extract data on individual dominance ranks, their access to fitness-related benefits, and hierarchy steepness. We collected and included in our analysis a total of 153 data points, representing 27 species (including 2 chimpanzee sub-species). From these, we used 4 common methods to measure individual dominance ranks and hierarchy steepness, i.e. D ij -based normalized David's scores, randomized Elo-ratings, and David's scores and Elo-ratings estimated in Bayesian frameworks. We found that hierarchy steepness had no effect on the strength of the relationship between dominance rank and access to fitness-related benefits. Our results suggest that hierarchy steepness does not reflect between-group variation in the extent to which individual dominance affects the acquisition of fitness-related benefits in primates. Although the ability to win agonistic encounters is essential, we speculate that other behavioral strategies adopted by individuals may play crucial roles in resource acquisition in animal competitive regimes.
Citation
Huang, P., Arlet, M. E., Balasubramaniam, K. N., Beisner, B. A., Bliss-Moreau, E., Brent, L. J. N., Duboscq, J., García-Nisa, I., Kaburu, S. S. K., Kendal, R., Konečná, M., Marty, P. R., McCowan, B., Micheletta, J., Ostner, J., Schülke, O., Schino, G., & Majolo, B. (2024). Relationship between dominance hierarchy steepness and rank-relatedness of benefits in primates. Behavioral Ecology, 35(5), Article arae066. https://doi.org/10.1093/beheco/arae066
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 11, 2024 |
Online Publication Date | Aug 13, 2024 |
Publication Date | Sep 1, 2024 |
Deposit Date | Sep 10, 2024 |
Publicly Available Date | Sep 10, 2024 |
Journal | Behavioral ecology : official journal of the International Society for Behavioral Ecology |
Print ISSN | 1045-2249 |
Electronic ISSN | 1465-7279 |
Publisher | Oxford University Press |
Peer Reviewed | Peer Reviewed |
Volume | 35 |
Issue | 5 |
Article Number | arae066 |
DOI | https://doi.org/10.1093/beheco/arae066 |
Public URL | https://durham-repository.worktribe.com/output/2820311 |
PMID | 39193469 |
Files
Published Journal Article
(1.3 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
You might also like
Investigating the effects of social information on spite in an online game
(2024)
Journal Article
Beyond collective intelligence: Collective adaptation
(2023)
Journal Article
Adaptive Social Learning: Social Learning Strategies and their Applications
(2023)
Book Chapter
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search