Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous Abstract"Ozone and its potential control strategy for Chon Buri city, Thailand"    Next AbstractTORC2 signaling is antagonized by protein phosphatase 2A and the Far complex in Saccharomyces cerevisiae »

PLoS Comput Biol


Title:The regulation of ant colony foraging activity without spatial information
Author(s):Prabhakar B; Dektar KN; Gordon DM;
Address:"Departments of Computer Science and Electrical Engineering, Stanford University, Stanford, California, United States of America"
Journal Title:PLoS Comput Biol
Year:2012
Volume:20120823
Issue:8
Page Number:e1002670 -
DOI: 10.1371/journal.pcbi.1002670
ISSN/ISBN:1553-7358 (Electronic) 1553-734X (Print) 1553-734X (Linking)
Abstract:"Many dynamical networks, such as the ones that produce the collective behavior of social insects, operate without any central control, instead arising from local interactions among individuals. A well-studied example is the formation of recruitment trails in ant colonies, but many ant species do not use pheromone trails. We present a model of the regulation of foraging by harvester ant (Pogonomyrmex barbatus) colonies. This species forages for scattered seeds that one ant can retrieve on its own, so there is no need for spatial information such as pheromone trails that lead ants to specific locations. Previous work shows that colony foraging activity, the rate at which ants go out to search individually for seeds, is regulated in response to current food availability throughout the colony's foraging area. Ants use the rate of brief antennal contacts inside the nest between foragers returning with food and outgoing foragers available to leave the nest on the next foraging trip. Here we present a feedback-based algorithm that captures the main features of data from field experiments in which the rate of returning foragers was manipulated. The algorithm draws on our finding that the distribution of intervals between successive ants returning to the nest is a Poisson process. We fitted the parameter that estimates the effect of each returning forager on the rate at which outgoing foragers leave the nest. We found that correlations between observed rates of returning foragers and simulated rates of outgoing foragers, using our model, were similar to those in the data. Our simple stochastic model shows how the regulation of ant colony foraging can operate without spatial information, describing a process at the level of individual ants that predicts the overall foraging activity of the colony"
Keywords:"Animals Ants/*physiology *Feeding Behavior Models, Biological;"
Notes:"MedlinePrabhakar, Balaji Dektar, Katherine N Gordon, Deborah M eng Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. 2012/08/29 PLoS Comput Biol. 2012; 8(8):e1002670. doi: 10.1371/journal.pcbi.1002670. Epub 2012 Aug 23"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 06-07-2024