Literature DB >> 20627107

Balancing organization and flexibility in foraging dynamics.

Michaelangelo Tabone1, Bard Ermentrout, Brent Doiron.   

Abstract

Proper pattern organization and reorganization are central problems facing many biological networks which thrive in fluctuating environments. However, in many cases the mechanisms that organize system activity oppose those that support behavioral flexibility. Thus, a balance between pattern organization and pattern flexibility is critically important for overall biological fitness. We study this balance in the foraging strategies of ant colonies exploiting food in dynamic environments. We present discrete time and space simulations of colony activity that uses a pheromone-based recruitment strategy biasing foraging towards a food source. After food relocation, the pheromone must evaporate sufficiently before foraging can shift colony attention to a new food source. The amount of food consumed within the dynamic environment depends non-monotonically on the pheromone evaporation time constant-with maximal consumption occurring at a time constant which balances trail formation and trail flexibility. A deterministic, 'mean field' model of pheromone and foragers on trails mimics our colony simulations. This reduced framework captures the essence of the flexibility-organization balance, and relates optimal pheromone evaporation to the timescale of the dynamic environment. We expect that the principles exposed in our study will generalize and motivate novel analysis across a broad range systems biology. 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20627107     DOI: 10.1016/j.jtbi.2010.07.004

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  3 in total

1.  Subjective expectation of rewards can change the behavior of smart but impatient foragers.

Authors:  Marcos Gomes Eleuterio da Luz; Ernesto P Raposo; Gandhimohan M Viswanathan
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-21       Impact factor: 11.205

2.  Rationalizing spatial exploration patterns of wild animals and humans through a temporal discounting framework.

Authors:  Vijay Mohan K Namboodiri; Joshua M Levy; Stefan Mihalas; David W Sims; Marshall G Hussain Shuler
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-06       Impact factor: 11.205

3.  Optimal random search using limited spatial memory.

Authors:  Tomoko Sakiyama; Yukio-Pegio Gunji
Journal:  R Soc Open Sci       Date:  2018-03-07       Impact factor: 2.963

  3 in total

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