The Experts below are selected from a list of 16902 Experts worldwide ranked by ideXlab platform

Guy Theraulaz - One of the best experts on this subject based on the ideXlab platform.

  • collective response to perturbations in a data driven Fish School model
    Journal of the Royal Society Interface, 2015
    Co-Authors: Daniel S Calovi, Ugo Lopez, Paul Schuhmacher, Hugues Chate, Clement Sire, Guy Theraulaz
    Abstract:

    Fish Schools are able to display a rich variety of collective states and behavioural responses when they are confronted by threats. However, a School's response to perturbations may be different depending on the nature of its collective state. Here we use a previously developed data-driven Fish School model to investigate how the School responds to perturbations depending on its different collective states, we measure its susceptibility to such perturbations, and exploit its relation with the intrinsic fluctuations in the School. In particular, we study how a single or a small number of perturbing individuals whose attraction and alignment parameters are different from those of the main population affect the long-term behaviour of a School. We find that the responsiveness of the School to the perturbations is maximum near the transition region between milling and Schooling states where the School exhibits multistability and regularly shifts between these two states. It is also in this region that the susceptibility, and hence the fluctuations, of the polarization order parameter is maximal. We also find that a significant School's response to a perturbation only happens below a certain threshold of the noise to social interactions ratio.

  • collective response to perturbations in a data driven Fish School model
    arXiv: Quantitative Methods, 2014
    Co-Authors: Daniel S Calovi, Ugo Lopez, Paul Schuhmacher, Hugues Chate, Clement Sire, Guy Theraulaz
    Abstract:

    Fish Schools are able to display a rich variety of collective states and behavioural responses when they are confronted to threats. However a School's response to perturbations may be different depending on its collective state. Here we use a previously developed data-driven Fish School model to investigate how a single or a small number of perturbing individuals affect the long-term behaviour of a School depending on its collective state. These perturbing Fish are characterised by a set of attraction and alignment parameters different from those of the main population. We find that the responsiveness of the School to the perturbation is maximum near the transition region between milling and Schooling states where the School exhibits multistability and regularly shifts between these two states. We also find that a significant School's response to a perturbation only happens below a certain threshold of the noise to social interactions ratio.

  • swarming Schooling milling phase diagram of a data driven Fish School model
    New Journal of Physics, 2014
    Co-Authors: Daniel S Calovi, Ugo Lopez, Hugues Chate, Clement Sire, Guy Theraulaz
    Abstract:

    We determine the basic phase diagram of the Fish School model derived from data by Gautrais et al (2012 PLoS Comput. Biol. 8 e1002678), exploring its parameter space beyond the parameter values determined experimentally on groups of barred flagtails (Kuhlia mugil) swimming in a shallow tank. A modified model is studied alongside the original one, in which an additional frontal preference is introduced in the stimulus/response function to account for the angular weighting of interactions. Our study, mostly limited to groups of moderate size (in the order of 100 individuals), focused not only on the transition to Schooling induced by increasing the swimming speed, but also on the conditions under which a School can exhibit milling dynamics and the corresponding behavioural transitions. We show the existence of a transition region between milling and Schooling, in which the School exhibits multistability and intermittence between Schooling and milling for the same combination of individual parameters. We also show that milling does not occur for arbitrarily large groups, mainly due to a distance dependence interaction of the model and information propagation delays in the School, which cause conflicting reactions for large groups. We finally discuss the biological significance of our findings, especially the dependence of behavioural transitions on social interactions, which were reported by Gautrais et al to be adaptive in the experimental conditions.

  • swarming Schooling milling phase diagram of a data driven Fish School model
    arXiv: Quantitative Methods, 2013
    Co-Authors: Daniel S Calovi, Ugo Lopez, Hugues Chate, Clement Sire, Guy Theraulaz, Sandrine Ngo
    Abstract:

    We determine the basic phase diagram of the Fish School model derived from data by Gautrais etal (PLoS Comp. Biol. 8, e1002678 (2012)), exploring its parameter space beyond the parameter values determined experimentally on groups of barred flagtails (Kuhlia mugil}) swimming in a shallow tank. A modified model is studied alongside the original one, in which an additional frontal preference is introduced in the stimulus/response function to account for the angular weighting of interactions. Our study, mostly limited to groups of moderate size (in the order of 100 individuals), focused not only on the transition to Schooling induced by increasing the swimming speed, but also on the conditions under which a School can exhibit milling dynamics and the corresponding behavioral transitions. We show the existence of a transition region between milling and Schooling, in which the School exhibits multistability and intermittency between Schooling and milling for the same combination of individuals parameters. We also show that milling does not occur for arbitrarily large groups, mainly due to a distance dependence interaction of the model and information propagation delays in the School, which cause conflicting reactions for large groups. We finally discuss the biological significance of our findings, especially the dependence of behavioural transitions on social interactions, which were reported by Gautrais etal to be adaptive in the experimental conditions.

Merav Ben-david - One of the best experts on this subject based on the ideXlab platform.

  • RESEARCH ARTICLE Modeling Behavior by Coastal River Otter (Lontra Canadensis) in Response to Prey Availability in Prince William Sound, Alaska: A Spatially-Explicit Individual-Based Approach
    2016
    Co-Authors: Shannon E. Albeke, Nathan P Nibbelink, Merav Ben-david
    Abstract:

    Effects of climate change on animal behavior and cascading ecosystem responses are rarely evaluated. In coastal Alaska, social river otters (Lontra Canadensis), largely males, cooperatively forage on Schooling Fish and use latrine sites to communicate group associa-tions and dominance. Conversely, solitary otters, mainly females, feed on intertidal-demer-sal Fish and display mutual avoidance via scent marking. This behavioral variability creates “hotspots ” of nutrient deposition and affects plant productivity and diversity on the terrestrial landscape. Because the abundance of Schooling pelagic Fish is predicted to decline with cli-mate change, we developed a spatially-explicit individual-based model (IBM) of otter behav-ior and tested six scenarios based on potential shifts to distribution patterns of Schooling Fish. Emergent patterns from the IBM closely mimicked observed otter behavior and land-scape use in the absence of explicit rules of intraspecific attraction or repulsion. Model re-sults were most sensitive to rules regarding spatial memory and activity state following an encounter with a Fish School. With declining availability of Schooling Fish, the number of so-cial groups and the time simulated otters spent in the company of conspecifics declined. Concurrently, model results suggested an elevation of defecation rate, a 25 % increase in ni-trogen transport to the terrestrial landscape, and significant changes to the spatial distribu-tion of “hotspots ” with declines in Schooling Fish availability. However, reductions in availability of Schooling Fish could lead to declines in otter density over time

  • Modeling behavior by coastal river otter (Lontra Canadensis) in response to prey availability in Prince William Sound, Alaska: A spatially-explicit individual-based approach
    PLoS ONE, 2015
    Co-Authors: Shannon E. Albeke, Nathan P Nibbelink, Merav Ben-david
    Abstract:

    Effects of climate change on animal behavior and cascading ecosystem responses are rarely evaluated. In coastal Alaska, social river otters (Lontra Canadensis), largely males, cooperatively forage on Schooling Fish and use latrine sites to communicate group associa- tions and dominance. Conversely, solitary otters, mainly females, feed on intertidal-demer- sal Fish and displaymutual avoidance via scentmarking. This behavioral variability creates “hotspots” of nutrient deposition and affects plant productivity and diversity on the terrestrial landscape. Because the abundance of Schooling pelagic Fish is predicted to decline with cli- mate change, we developed a spatially-explicit individual-based model (IBM) of otter behav- ior and tested six scenarios based on potential shifts to distribution patterns of Schooling Fish. Emergent patterns from the IBM closely mimicked observed otter behavior and land- scape use in the absence of explicit rules of intraspecific attraction or repulsion. Model re- sults were most sensitive to rules regarding spatial memory and activity state following an encounter with a Fish School. With declining availability of Schooling Fish, the number of so- cial groups and the time simulated otters spent in the company of conspecifics declined. Concurrently, model results suggested an elevation of defecation rate, a 25% increase in ni- trogen transport to the terrestrial landscape, and significant changes to the spatial distribu- tion of “hotspots” with declines in Schooling Fish availability. However, reductions in availability of Schooling Fish could lead to declines in otter density over time.

Shannon E. Albeke - One of the best experts on this subject based on the ideXlab platform.

  • RESEARCH ARTICLE Modeling Behavior by Coastal River Otter (Lontra Canadensis) in Response to Prey Availability in Prince William Sound, Alaska: A Spatially-Explicit Individual-Based Approach
    2016
    Co-Authors: Shannon E. Albeke, Nathan P Nibbelink, Merav Ben-david
    Abstract:

    Effects of climate change on animal behavior and cascading ecosystem responses are rarely evaluated. In coastal Alaska, social river otters (Lontra Canadensis), largely males, cooperatively forage on Schooling Fish and use latrine sites to communicate group associa-tions and dominance. Conversely, solitary otters, mainly females, feed on intertidal-demer-sal Fish and display mutual avoidance via scent marking. This behavioral variability creates “hotspots ” of nutrient deposition and affects plant productivity and diversity on the terrestrial landscape. Because the abundance of Schooling pelagic Fish is predicted to decline with cli-mate change, we developed a spatially-explicit individual-based model (IBM) of otter behav-ior and tested six scenarios based on potential shifts to distribution patterns of Schooling Fish. Emergent patterns from the IBM closely mimicked observed otter behavior and land-scape use in the absence of explicit rules of intraspecific attraction or repulsion. Model re-sults were most sensitive to rules regarding spatial memory and activity state following an encounter with a Fish School. With declining availability of Schooling Fish, the number of so-cial groups and the time simulated otters spent in the company of conspecifics declined. Concurrently, model results suggested an elevation of defecation rate, a 25 % increase in ni-trogen transport to the terrestrial landscape, and significant changes to the spatial distribu-tion of “hotspots ” with declines in Schooling Fish availability. However, reductions in availability of Schooling Fish could lead to declines in otter density over time

  • Modeling behavior by coastal river otter (Lontra Canadensis) in response to prey availability in Prince William Sound, Alaska: A spatially-explicit individual-based approach
    PLoS ONE, 2015
    Co-Authors: Shannon E. Albeke, Nathan P Nibbelink, Merav Ben-david
    Abstract:

    Effects of climate change on animal behavior and cascading ecosystem responses are rarely evaluated. In coastal Alaska, social river otters (Lontra Canadensis), largely males, cooperatively forage on Schooling Fish and use latrine sites to communicate group associa- tions and dominance. Conversely, solitary otters, mainly females, feed on intertidal-demer- sal Fish and displaymutual avoidance via scentmarking. This behavioral variability creates “hotspots” of nutrient deposition and affects plant productivity and diversity on the terrestrial landscape. Because the abundance of Schooling pelagic Fish is predicted to decline with cli- mate change, we developed a spatially-explicit individual-based model (IBM) of otter behav- ior and tested six scenarios based on potential shifts to distribution patterns of Schooling Fish. Emergent patterns from the IBM closely mimicked observed otter behavior and land- scape use in the absence of explicit rules of intraspecific attraction or repulsion. Model re- sults were most sensitive to rules regarding spatial memory and activity state following an encounter with a Fish School. With declining availability of Schooling Fish, the number of so- cial groups and the time simulated otters spent in the company of conspecifics declined. Concurrently, model results suggested an elevation of defecation rate, a 25% increase in ni- trogen transport to the terrestrial landscape, and significant changes to the spatial distribu- tion of “hotspots” with declines in Schooling Fish availability. However, reductions in availability of Schooling Fish could lead to declines in otter density over time.

Daniel S Calovi - One of the best experts on this subject based on the ideXlab platform.

  • collective response to perturbations in a data driven Fish School model
    Journal of the Royal Society Interface, 2015
    Co-Authors: Daniel S Calovi, Ugo Lopez, Paul Schuhmacher, Hugues Chate, Clement Sire, Guy Theraulaz
    Abstract:

    Fish Schools are able to display a rich variety of collective states and behavioural responses when they are confronted by threats. However, a School's response to perturbations may be different depending on the nature of its collective state. Here we use a previously developed data-driven Fish School model to investigate how the School responds to perturbations depending on its different collective states, we measure its susceptibility to such perturbations, and exploit its relation with the intrinsic fluctuations in the School. In particular, we study how a single or a small number of perturbing individuals whose attraction and alignment parameters are different from those of the main population affect the long-term behaviour of a School. We find that the responsiveness of the School to the perturbations is maximum near the transition region between milling and Schooling states where the School exhibits multistability and regularly shifts between these two states. It is also in this region that the susceptibility, and hence the fluctuations, of the polarization order parameter is maximal. We also find that a significant School's response to a perturbation only happens below a certain threshold of the noise to social interactions ratio.

  • collective response to perturbations in a data driven Fish School model
    arXiv: Quantitative Methods, 2014
    Co-Authors: Daniel S Calovi, Ugo Lopez, Paul Schuhmacher, Hugues Chate, Clement Sire, Guy Theraulaz
    Abstract:

    Fish Schools are able to display a rich variety of collective states and behavioural responses when they are confronted to threats. However a School's response to perturbations may be different depending on its collective state. Here we use a previously developed data-driven Fish School model to investigate how a single or a small number of perturbing individuals affect the long-term behaviour of a School depending on its collective state. These perturbing Fish are characterised by a set of attraction and alignment parameters different from those of the main population. We find that the responsiveness of the School to the perturbation is maximum near the transition region between milling and Schooling states where the School exhibits multistability and regularly shifts between these two states. We also find that a significant School's response to a perturbation only happens below a certain threshold of the noise to social interactions ratio.

  • swarming Schooling milling phase diagram of a data driven Fish School model
    New Journal of Physics, 2014
    Co-Authors: Daniel S Calovi, Ugo Lopez, Hugues Chate, Clement Sire, Guy Theraulaz
    Abstract:

    We determine the basic phase diagram of the Fish School model derived from data by Gautrais et al (2012 PLoS Comput. Biol. 8 e1002678), exploring its parameter space beyond the parameter values determined experimentally on groups of barred flagtails (Kuhlia mugil) swimming in a shallow tank. A modified model is studied alongside the original one, in which an additional frontal preference is introduced in the stimulus/response function to account for the angular weighting of interactions. Our study, mostly limited to groups of moderate size (in the order of 100 individuals), focused not only on the transition to Schooling induced by increasing the swimming speed, but also on the conditions under which a School can exhibit milling dynamics and the corresponding behavioural transitions. We show the existence of a transition region between milling and Schooling, in which the School exhibits multistability and intermittence between Schooling and milling for the same combination of individual parameters. We also show that milling does not occur for arbitrarily large groups, mainly due to a distance dependence interaction of the model and information propagation delays in the School, which cause conflicting reactions for large groups. We finally discuss the biological significance of our findings, especially the dependence of behavioural transitions on social interactions, which were reported by Gautrais et al to be adaptive in the experimental conditions.

  • swarming Schooling milling phase diagram of a data driven Fish School model
    arXiv: Quantitative Methods, 2013
    Co-Authors: Daniel S Calovi, Ugo Lopez, Hugues Chate, Clement Sire, Guy Theraulaz, Sandrine Ngo
    Abstract:

    We determine the basic phase diagram of the Fish School model derived from data by Gautrais etal (PLoS Comp. Biol. 8, e1002678 (2012)), exploring its parameter space beyond the parameter values determined experimentally on groups of barred flagtails (Kuhlia mugil}) swimming in a shallow tank. A modified model is studied alongside the original one, in which an additional frontal preference is introduced in the stimulus/response function to account for the angular weighting of interactions. Our study, mostly limited to groups of moderate size (in the order of 100 individuals), focused not only on the transition to Schooling induced by increasing the swimming speed, but also on the conditions under which a School can exhibit milling dynamics and the corresponding behavioral transitions. We show the existence of a transition region between milling and Schooling, in which the School exhibits multistability and intermittency between Schooling and milling for the same combination of individuals parameters. We also show that milling does not occur for arbitrarily large groups, mainly due to a distance dependence interaction of the model and information propagation delays in the School, which cause conflicting reactions for large groups. We finally discuss the biological significance of our findings, especially the dependence of behavioural transitions on social interactions, which were reported by Gautrais etal to be adaptive in the experimental conditions.

Ugo Lopez - One of the best experts on this subject based on the ideXlab platform.

  • collective response to perturbations in a data driven Fish School model
    Journal of the Royal Society Interface, 2015
    Co-Authors: Daniel S Calovi, Ugo Lopez, Paul Schuhmacher, Hugues Chate, Clement Sire, Guy Theraulaz
    Abstract:

    Fish Schools are able to display a rich variety of collective states and behavioural responses when they are confronted by threats. However, a School's response to perturbations may be different depending on the nature of its collective state. Here we use a previously developed data-driven Fish School model to investigate how the School responds to perturbations depending on its different collective states, we measure its susceptibility to such perturbations, and exploit its relation with the intrinsic fluctuations in the School. In particular, we study how a single or a small number of perturbing individuals whose attraction and alignment parameters are different from those of the main population affect the long-term behaviour of a School. We find that the responsiveness of the School to the perturbations is maximum near the transition region between milling and Schooling states where the School exhibits multistability and regularly shifts between these two states. It is also in this region that the susceptibility, and hence the fluctuations, of the polarization order parameter is maximal. We also find that a significant School's response to a perturbation only happens below a certain threshold of the noise to social interactions ratio.

  • collective response to perturbations in a data driven Fish School model
    arXiv: Quantitative Methods, 2014
    Co-Authors: Daniel S Calovi, Ugo Lopez, Paul Schuhmacher, Hugues Chate, Clement Sire, Guy Theraulaz
    Abstract:

    Fish Schools are able to display a rich variety of collective states and behavioural responses when they are confronted to threats. However a School's response to perturbations may be different depending on its collective state. Here we use a previously developed data-driven Fish School model to investigate how a single or a small number of perturbing individuals affect the long-term behaviour of a School depending on its collective state. These perturbing Fish are characterised by a set of attraction and alignment parameters different from those of the main population. We find that the responsiveness of the School to the perturbation is maximum near the transition region between milling and Schooling states where the School exhibits multistability and regularly shifts between these two states. We also find that a significant School's response to a perturbation only happens below a certain threshold of the noise to social interactions ratio.

  • swarming Schooling milling phase diagram of a data driven Fish School model
    New Journal of Physics, 2014
    Co-Authors: Daniel S Calovi, Ugo Lopez, Hugues Chate, Clement Sire, Guy Theraulaz
    Abstract:

    We determine the basic phase diagram of the Fish School model derived from data by Gautrais et al (2012 PLoS Comput. Biol. 8 e1002678), exploring its parameter space beyond the parameter values determined experimentally on groups of barred flagtails (Kuhlia mugil) swimming in a shallow tank. A modified model is studied alongside the original one, in which an additional frontal preference is introduced in the stimulus/response function to account for the angular weighting of interactions. Our study, mostly limited to groups of moderate size (in the order of 100 individuals), focused not only on the transition to Schooling induced by increasing the swimming speed, but also on the conditions under which a School can exhibit milling dynamics and the corresponding behavioural transitions. We show the existence of a transition region between milling and Schooling, in which the School exhibits multistability and intermittence between Schooling and milling for the same combination of individual parameters. We also show that milling does not occur for arbitrarily large groups, mainly due to a distance dependence interaction of the model and information propagation delays in the School, which cause conflicting reactions for large groups. We finally discuss the biological significance of our findings, especially the dependence of behavioural transitions on social interactions, which were reported by Gautrais et al to be adaptive in the experimental conditions.

  • swarming Schooling milling phase diagram of a data driven Fish School model
    arXiv: Quantitative Methods, 2013
    Co-Authors: Daniel S Calovi, Ugo Lopez, Hugues Chate, Clement Sire, Guy Theraulaz, Sandrine Ngo
    Abstract:

    We determine the basic phase diagram of the Fish School model derived from data by Gautrais etal (PLoS Comp. Biol. 8, e1002678 (2012)), exploring its parameter space beyond the parameter values determined experimentally on groups of barred flagtails (Kuhlia mugil}) swimming in a shallow tank. A modified model is studied alongside the original one, in which an additional frontal preference is introduced in the stimulus/response function to account for the angular weighting of interactions. Our study, mostly limited to groups of moderate size (in the order of 100 individuals), focused not only on the transition to Schooling induced by increasing the swimming speed, but also on the conditions under which a School can exhibit milling dynamics and the corresponding behavioral transitions. We show the existence of a transition region between milling and Schooling, in which the School exhibits multistability and intermittency between Schooling and milling for the same combination of individuals parameters. We also show that milling does not occur for arbitrarily large groups, mainly due to a distance dependence interaction of the model and information propagation delays in the School, which cause conflicting reactions for large groups. We finally discuss the biological significance of our findings, especially the dependence of behavioural transitions on social interactions, which were reported by Gautrais etal to be adaptive in the experimental conditions.