Literature DB >> 10036198

From individuals to aggregations: the interplay between behavior and physics.

G Flierl1, D Grünbaum, S Levins, D Olson.   

Abstract

This paper analyses the processes by which organisms form groups and how social forces interact with environmental variability and transport. For aquatic organisms, the latter is especially important-will sheared or turbulent flows disrupt organism groups? To analyse such problems, we use individual-based models to study the environmental and social forces leading to grouping. The models are then embedded in turbulent flow fields to gain an understanding of the interplay between the forces acting on the individuals and the transport induced by the fluid motion. Instead of disruption of groups, we find that flows often enhance grouping by increasing the encounter rate among groups and thereby promoting merger into larger groups; the effect breaks down for strong flows. We discuss the transformation of individual-based models into continuum models for the density of organisms. A number of subtle difficulties arise in this process; however, we find that a direct comparison between the individual model and the continuum model is quite favorable. Finally, we examine the dynamics of group statistics and give an example of building an equation for the spatial and temporal variations of the group-size distribution from the individual-based simulations. These studies lay the groundwork for incorporating the effects of grouping into models of the large scale distributions of organisms as well as for examining the evolutionary consequences of group formation. Copyright 1999 Academic Press.

Mesh:

Year:  1999        PMID: 10036198     DOI: 10.1006/jtbi.1998.0842

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


  32 in total

Review 1.  Biological factors underlying regularity and chaos in aquatic ecosystems: simple models of complex dynamics.

Authors:  A B Medvinsky; S V Petrovskii; D A Tikhonov; I A Tikhonova; G R Ivanitsky; H Malchow
Journal:  J Biosci       Date:  2001-03       Impact factor: 1.826

2.  Mutual interactions, potentials, and individual distance in a social aggregation.

Authors:  A Mogilner; L Edelstein-Keshet; L Bent; A Spiros
Journal:  J Math Biol       Date:  2003-05-15       Impact factor: 2.259

3.  Noise, Bifurcations, and Modeling of Interacting Particle Systems.

Authors:  Luis Mier-Y-Teran-Romero; Eric Forgoston; Ira B Schwartz
Journal:  Rep U S       Date:  2011

4.  A multiscale maximum entropy moment closure for locally regulated space-time point process models of population dynamics.

Authors:  Michael Raghib; Nicholas A Hill; Ulf Dieckmann
Journal:  J Math Biol       Date:  2010-05-06       Impact factor: 2.259

5.  Building the bridge between animal movement and population dynamics.

Authors:  Juan M Morales; Paul R Moorcroft; Jason Matthiopoulos; Jacqueline L Frair; John G Kie; Roger A Powell; Evelyn H Merrill; Daniel T Haydon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-07-27       Impact factor: 6.237

6.  State-dependent foraging rules for social animals in selfish herds.

Authors:  Sean A Rands; Richard A Pettifor; J Marcus Rowcliffe; Guy Cowlishaw
Journal:  Proc Biol Sci       Date:  2004-12-22       Impact factor: 5.349

7.  Group size determined by fusion and fission. A mathematical modelling with inclusive fitness.

Authors:  H Seno
Journal:  J Math Biol       Date:  2005-09-29       Impact factor: 2.259

8.  Invasion and adaptive evolution for individual-based spatially structured populations.

Authors:  Nicolas Champagnat; Sylvie Méléard
Journal:  J Math Biol       Date:  2007-06-07       Impact factor: 2.259

9.  Collective behavior in animal groups: theoretical models and empirical studies.

Authors:  Irene Giardina
Journal:  HFSP J       Date:  2008-08-01

10.  A spatially explicit Bayesian framework for cognitive schooling behaviours.

Authors:  Daniel Grünbaum
Journal:  Interface Focus       Date:  2012-07-18       Impact factor: 3.906

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.