Adaptive collective foraging in groups with conflicting nutritional needs
Authored by David Raubenheimer, Alistair M Senior, Michael A Charleston, Mathieu Lihoreau, Jerome Buhl, Stephen J Simpson
Date Published: 2016
DOI: 10.1098/rsos.150638
Sponsors:
Australian Research Council (ARC)
Platforms:
NetLogo
Model Documentation:
ODD
Mathematical description
Model Code URLs:
https://www-ncbi-nlm-nih-gov.ezproxy1.lib.asu.edu/pmc/articles/PMC4852629/bin/rsos150638supp2.rtf
Abstract
Collective foraging, based on positive feedback and quorum responses, is
believed to improve the foraging efficiency of animals. Nutritional
models suggest that social information transfer increases the ability of
foragers with closely aligned nutritional needs to find nutrients and
maintain a balanced diet. However, whether or not collective foraging is
adaptive in a heterogeneous group composed of individuals with differing
nutritional needs is virtually unexplored. Here we develop an
evolutionary agent-based model using concepts of nutritional ecology to
address this knowledge gap. Our aim was to evaluate how collective
foraging, mediated by social retention on foods, can improve nutrient
balancing in individuals with different requirements. The model suggests
that in groups where inter-individual nutritional needs are unimodally
distributed, high levels of collective foraging yield optimal individual
fitness by reducing search times that result from moving between
nutritionally imbalanced foods. However, where nutritional needs are
highly bimodal (e.g. where the requirements of males and females differ)
collective foraging is selected against, leading to group fission. In
this case, additional mechanisms such as assortative interactions can
coevolve to allow collective foraging by subgroups of individuals with
aligned requirements. Our findings indicate that collective foraging is
an efficient strategy for nutrient regulation in animals inhabiting
complex nutritional environments and exhibiting a range of social forms.
Tags
Decision-Making
patterns
Honeybees
fitness
Diet
Reproduction
Social information use
Life-span
Sexual segregation
Nutrient intake