Literature DB >> 34089647

Absence of "selfish herd" dynamics in bird flocks under threat.

Daniel W E Sankey1, Rolf F Storms2, Robert J Musters2, Timothy W Russell3, Charlotte K Hemelrijk2, Steven J Portugal3.   

Abstract

The "selfish herd" hypothesis1 provides a potential mechanism to explain a ubiquitous phenomenon in nature: that of non-kin aggregations. Individuals in selfish herds are thought to benefit by reducing their own risk at the expense of conspecifics by attracting toward their neighbors' positions1,2 or central locations in the aggregation.3-5 Alternatively, increased alignment with their neighbors' orientation could reduce the chance of predation through information sharing6-8 or collective escape.6 Using both small and large flocks of homing pigeons (Columba livia; n = 8-10 or n = 27-34 individuals) tagged with 5-Hz GPS loggers and a GPS-tagged, remote-controlled model peregrine falcon (Falco peregrinus), we tested whether individuals increase their use of attraction over alignment when under perceived threat. We conducted n = 27 flights in treatment conditions, chased by the robotic "predator," and n = 16 flights in control conditions (not chased). Despite responding strongly to the RobotFalcon-by turning away from its flight direction-individuals in treatment flocks demonstrated no increased attraction compared with control flocks, and this result held across both flock sizes. We suggest that mutualistic alignment is more advantageous than selfish attraction in groups with a high coincidence of individual and collective interests (adaptive hypothesis). However, we also explore alternative explanations, such as high cognitive demand under threat and collision avoidance (mechanistic hypotheses). We conclude that selfish herd may not be an appropriate paradigm for understanding the function of highly synchronous collective motion, as observed in bird flocks and perhaps also fish shoals and highly aligned mammal aggregations, such as moving herds.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  animal-robot interactions; collective decision making; collective motion; flight dynamics; movement ecology; mutualism; social behavior

Mesh:

Year:  2021        PMID: 34089647     DOI: 10.1016/j.cub.2021.05.009

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  5 in total

1.  Both prey and predator features predict the individual predation risk and survival of schooling prey.

Authors:  Jolle Wolter Jolles; Matthew M G Sosna; Geoffrey P F Mazué; Colin R Twomey; Joseph Bak-Coleman; Daniel I Rubenstein; Iain D Couzin
Journal:  Elife       Date:  2022-07-19       Impact factor: 8.713

2.  Stochastic modelling of bird flocks: accounting for the cohesiveness of collective motion.

Authors:  Andy M Reynolds; Guillam E McIvor; Alex Thornton; Patricia Yang; Nicholas T Ouellette
Journal:  J R Soc Interface       Date:  2022-04-20       Impact factor: 4.293

3.  Self-organization of collective escape in pigeon flocks.

Authors:  Marina Papadopoulou; Hanno Hildenbrandt; Daniel W E Sankey; Steven J Portugal; Charlotte K Hemelrijk
Journal:  PLoS Comput Biol       Date:  2022-01-10       Impact factor: 4.475

4.  Emergence of splits and collective turns in pigeon flocks under predation.

Authors:  Marina Papadopoulou; Hanno Hildenbrandt; Daniel W E Sankey; Steven J Portugal; Charlotte K Hemelrijk
Journal:  R Soc Open Sci       Date:  2022-02-23       Impact factor: 2.963

5.  Beyond Bio-Inspired Robotics: How Multi-Robot Systems Can Support Research on Collective Animal Behavior.

Authors:  Nikolaj Horsevad; Hian Lee Kwa; Roland Bouffanais
Journal:  Front Robot AI       Date:  2022-06-20
  5 in total

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