Residence times and boundary-following behavior in animals

Weitz, Sébastian; Blanco, Stéphane; Fournier, Richard; Gautrais, Jacques; Jost, Christian; Théraulaz, Guy

doi:10.1103/physreve.89.052715

Cited by 6 publications

(5 citation statements)

References 55 publications

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“…Studies that reveal boundary following behaviors in animals (63) suggest that asymmetry in the boundaries could be used to produce ratchet effects. Another avenue of study is the introduction of feedback effects to a ratchet system, which could be achieved through optical methods.…”

Section: Future Directionsmentioning

confidence: 99%

Ratchet Effects in Active Matter Systems

Reichhardt

2017

Annu. Rev. Condens. Matter Phys.

217

169

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Ratchet effects can arise for single or collectively interacting Brownian particles on an asymmetric substrate when a net dc transport is produced by an externally applied ac driving force or by periodically flashing the substrate. Recently, a new class of active ratchet systems has been realized through the use of active matter, which are self-propelled units that can be biological or non-biological in nature. When active materials such as swimming bacteria interact with an asymmetric substrate, a net dc directed motion can arise even without external driving, opening a wealth of possibilities such as sorting, cargo transport, or micromachine construction. We review the current status of active matter ratchets for swimming bacteria, cells, active colloids, and swarming models, focusing on the role of particle-substrate interactions. We describe ratchet reversals produced by collective effects and the use of active ratchets to transport passive particles. We discuss future directions including deformable substrates or particles, the role of different swimming modes, varied particle-particle interactions, and non-dissipative effects.

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Section: Future Directionsmentioning

confidence: 99%

Ratchet Effects in Active Matter Systems

Reichhardt

2017

Annu. Rev. Condens. Matter Phys.

217

169

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“…Rock ants tends to move parallel to distant walls [ 52 ] while desert ants follow the mid-lines between rows of shrubs [ 53 ]. Models of the Brownian motion of cockroaches [ 54 ] and harvester ants [ 55 ] in a confined space include position-dependent terms that represent an affinity for arena boundaries [ 56 ].…”

Section: Introductionmentioning

confidence: 99%

Modeling the movement of Oecophylla smaragdina on short-length scales in an unfamiliar environment

Charoonratana,

Thiwatwaranikul,

Paisanpan

et al. 2023

Mov Ecol

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The movement of individual weaver ants, of Oecophylla smargandina, was previously tracked within an unfamiliar arena. We develop an empirical model, based on Brownian motion with a linear drag and constant driving force, to explain the observed distribution of ants over position and velocity. Parameters are fixed according to the isotropic, homogeneous distribution observed near the middle of the arena. Then, with no adjustable parameters, the model accounts for all features of the measured population distribution. The tendency of ants to remain near arena edges is largely explained as a statistical property of bounded stochastic motion though evidence for active wall-following behavior appears in individual ant trajectories. Members of this ant species are capable of impressive feats of collective action and long-range navigation. But we argue that they use a simplistic algorithm, captured semi-quantitatively by the model provided, to navigate within the confined region.

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“…We, therefore, considered the Persistent Turning Walker (PTW) model which is an extension of the Persistent Random Walker (PRW [56], see [57][58][59] for a previous use in modeling ants behaviour from a cognitive perspective).…”

Section: Persistent Turning Walkermentioning

confidence: 99%

Modeling bee movement shows how a perceptual masking effect can influence flower discovery

et al. 2023

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Understanding how pollinators move across space is key to understanding plant mating patterns. Bees are typically assumed to search for flowers randomly or using simple movement rules, so that the probability of discovering a flower should primarily depend on its distance to the nest. However, experimental work shows this is not always the case. Here, we explored the influence of flower size and density on their probability of being discovered by bees by developing a movement model of central place foraging bees, based on experimental data collected on bumblebees. Our model produces realistic bee trajectories by taking into account the autocorrelation of the bee’s angular speed, the attraction to the nest (homing), and a gaussian noise. Simulations revealed a « masking effect » that reduces the detection of flowers close to another, with potential far reaching consequences on plant-pollinator interactions. At the plant level, flowers distant to the nest were more often discovered by bees in low density environments. At the bee colony level, foragers found more flowers when they were small and at medium densities. Our results indicate that the processes of search and discovery of resources are potentially more complex than usually assumed, and question the importance of resource distribution and abundance on bee foraging success and plant pollination.

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Residence times and boundary-following behavior in animals

Cited by 6 publications

References 55 publications

Ratchet Effects in Active Matter Systems

Ratchet Effects in Active Matter Systems

Modeling the movement of Oecophylla smaragdina on short-length scales in an unfamiliar environment

Modeling bee movement shows how a perceptual masking effect can influence flower discovery

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