↓ Skip to main content

PLOS

Signalling and the Evolution of Cooperative Foraging in Dynamic Environments

Overview of attention for article published in PLoS Computational Biology, September 2011
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
190 Mendeley
citeulike
3 CiteULike
Title
Signalling and the Evolution of Cooperative Foraging in Dynamic Environments
Published in
PLoS Computational Biology, September 2011
DOI 10.1371/journal.pcbi.1002194
Pubmed ID
Authors

Colin J. Torney, Andrew Berdahl, Iain D. Couzin

Abstract

Understanding cooperation in animal social groups remains a significant challenge for evolutionary theory. Observed behaviours that benefit others but incur some cost appear incompatible with classical notions of natural selection; however, these behaviours may be explained by concepts such as inclusive fitness, reciprocity, intra-specific mutualism or manipulation. In this work, we examine a seemingly altruistic behaviour, the active recruitment of conspecifics to a food resource through signalling. Here collective, cooperative behaviour may provide highly nonlinear benefits to individuals, since group functionality has the potential to be far greater than the sum of the component parts, for example by enabling the effective tracking of a dynamic resource. We show that due to this effect, signalling to others is an evolutionarily stable strategy under certain environmental conditions, even when there is a cost associated to this behaviour. While exploitation is possible, in the limiting case of a sparse, ephemeral but locally abundant nutrient source, a given environmental profile will support a fixed number of signalling individuals. Through a quantitative analysis, this effective carrying capacity for cooperation is related to the characteristic length and time scales of the resource field.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 2%
United States 3 2%
United Kingdom 3 2%
Spain 2 1%
Germany 1 <1%
Denmark 1 <1%
Unknown 177 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 23%
Researcher 33 17%
Student > Master 26 14%
Student > Bachelor 19 10%
Professor > Associate Professor 15 8%
Other 37 19%
Unknown 16 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 42%
Physics and Astronomy 13 7%
Environmental Science 12 6%
Engineering 11 6%
Psychology 11 6%
Other 39 21%
Unknown 25 13%