The sensory basis of schooling by intermittent swimming in the rummy-nose tetra (<i>Hemigrammus rhodostomus</i>)

McKee, Amberle; Soto, Álvaro; Chen, Yi‐Ping Phoebe; McHenry, Matthew J.

doi:10.1098/rspb.2020.0568

Cited by 23 publications

(21 citation statements)

References 34 publications

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“…For instance, it is shown in [31] that the intensity of the alignment interaction for Kuhlia mugil is roughly proportional to the mean velocity of the school. Moreover, water turbidity [46][47][48] and/or light intensity [49] have been shown to impact the interactions between fish. For instance, the authors of [49] have shown that in darkness and under low illuminance, H. rhodostomus move with lower polarization and a large mean nearest-neighbor distance that can span many body lengths.…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, water turbidity [46][47][48] and/or light intensity [49] have been shown to impact the interactions between fish. For instance, the authors of [49] have shown that in darkness and under low illuminance, H. rhodostomus move with lower polarization and a large mean nearest-neighbor distance that can span many body lengths. In the same work, the authors showed that it is possible to change the intensity of the attraction between fish by compromising the lateral-line system with a specific antibiotic treatment.…”

Section: Resultsmentioning

confidence: 99%

“…In particular, we found that in D. rerio, not only the range of the attraction and alignment interactions was much shorter but also the perception was strongly reduced in front of a fish, both features contributing to a much weaker coordination of motion in pairs of fish in this species in comparison with H. rhodostomus. Certain characteristics of the natural environment in which fish swim, such as water turbidity [46][47][48] or light intensity [49], can also affect the perception of individuals and, consequently, the social interactions. Studies have shown that, as turbidity increases, fish form and maintain groups less efficiently, inter-fish distance increases, and groups are less able to coordinate their collective behavior [46][47][48].…”

Section: Introductionmentioning

confidence: 99%

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The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model

et al. 2022

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In moving animal groups, social interactions play a key role in the ability of individuals to achieve coordinated motion. However, a large number of environmental and cognitive factors are able to modulate the expression of these interactions and the characteristics of the collective movements that result from these interactions. Here, we use a data-driven fish school model to quantitatively investigate the impact of perceptual and cognitive factors on coordination and collective swimming patterns. The model describes the interactions involved in the coordination of burst-and-coast swimming in groups of Hemigrammus rhodostomus. We perform a comprehensive investigation of the respective impacts of two interactions strategies between fish based on the selection of the most or the two most influential neighbors, of the range and intensity of social interactions, of the intensity of individual random behavioral fluctuations, and of the group size, on the ability of groups of fish to coordinate their movements. We find that fish are able to coordinate their movements when they interact with their most or two most influential neighbors, provided that a minimal level of attraction between fish exist to maintain group cohesion. A minimal level of alignment is also required to allow the formation of schooling and milling. However, increasing the strength of social interactions does not necessarily enhance group cohesion and coordination. When attraction and alignment strengths are too high, or when the heading random fluctuations are too large, schooling and milling can no longer be maintained and the school switches to a swarming phase. Increasing the interaction range between fish has a similar impact on collective dynamics as increasing the strengths of attraction and alignment. Finally, we find that coordination and schooling occurs for a wider range of attraction and alignment strength in small group sizes.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model

et al. 2022

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“…The visual system is the primary sensory modality of fish [75, 76], higher visual acuity and wider visual coverage facilitate group cohesion and polarity [62]. Specifically for H. rhodostomus , visual information is essential to enable attraction and alignment with neighbors and thus forming and maintaining schooling state [77]. Accordingly, collective states determined by different interaction ranges in the model correspond to behavioral changes observed when the environment affects the sensory abilities of the fish.…”

Section: Discussionmentioning

confidence: 99%

The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model

Wang

Escobedo

Sanchez

et al. 2021

Preprint

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In moving animal groups, social interactions play a key role in the ability of individuals to achieve coordinated motion. However, a large number of environmental and cognitive factors are able to modulate the expression of these interactions and the characteristics of the collective movements that result from these interactions. Here, we use a data-driven fish school model (Calovi et al., 2018; Lei et al., 2020) to quantitatively investigate the impact of perceptual and cognitive factors on coordination and collective swimming patterns. The model describes the interactions involved in the coordination of burst-and-coast swimming in groups of Hemigrammus rhodostomus. We perform a comprehensive investigation of the respective impacts of two interactions strategies between fish based on the selection of the most or the two most influential neighbors, of the range and intensity of social interactions, of the intensity of individual random behavioral fluctuations, and of the group size, on the ability of groups of fish to coordinate their movements. We find that fish are able to coordinate their movements when they interact with their most or two most influential neighbors, provided that a minimal level of attraction between fish exist to maintain group cohesion. A minimal level of alignment is also required to allow the formation of schooling and milling. However, increasing the strength of social interactions does not necessarily enhance group cohesion and coordination. When attraction and alignment strengths are too high, or when the heading random fluctuations are too large, schooling and milling can no longer be maintained and the school switches to a swarming phase. Increasing the interaction range between fish has a similar impact on collective dynamics as increasing the strengths of attraction and alignment. Finally, we find that coordination and schooling occurs for a wider range of attraction and alignment strength in small group sizes.

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“…However, flow sensing has been shown to be insufficient for schooling in a diversity of fishes that fail to maintain a school in the dark, including cyprinids ( Danionella translucida ; Schulze et al 2018 ), mackerel ( Trachurus symmetricus ; Hunter 1968 ), juvenile tuna ( Thunnus orientalis ; Torisawa et al 2007 ), juvenile salmon ( Ali 2001 ), and tetras ( Hemigrammus rhodostomus ; McKee et al 2020 ). By experimentally compromising the lateral line, a number of studies have demonstrated alterations in the spacing and polarization of schooling fish (e.g., Partridge and Pitcher 1980 ; Mekdara et al 2018 ; McKee et al 2020 ). Therefore, the lateral line aids in navigating with respect to neighboring fish, but has largely been shown to be insufficient to maintain a cohesive school.…”

Section: Examples Of Mechanoethologymentioning

confidence: 99%

Mechanoethology: The Physical Mechanisms of Behavior

Green

McHenry

Rico‐Guevara

2021

Integrative and Comparative Biology

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Research that integrates animal behavior theory with mechanics—including biomechanics, physiology, and functional morphology—can reveal how organisms accomplish tasks crucial to their fitness. Despite the insights that can be gained from this interdisciplinary approach, biomechanics commonly neglects a behavioral context and behavioral research generally does not consider mechanics. Here, we aim to encourage the study of “mechanoethology,” an area of investigation intended to encompass integrative studies of mechanics and behavior. Using examples from the literature, including papers in this issue, we show how these fields can influence each other in three ways: 1) the energy required to execute behaviors is driven by the kinematics of movement, and mechanistic studies of movement can benefit from consideration of its behavioral context; 2) mechanics sets physical limits on what behaviors organisms execute, while behavior influences ecological and evolutionary limits on mechanical systems; and 3) sensory behavior is underlain by the mechanics of sensory structures, and sensory systems guide whole-organism movement. These core concepts offer a foundation for mehanoethology research. However, future studies focused on merging behavior and mechanics may reveal other ways by which these fields are linked, leading to further insights in integrative organismal biology.

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The sensory basis of schooling by intermittent swimming in the rummy-nose tetra (Hemigrammus rhodostomus)

Cited by 23 publications

References 34 publications

The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model

The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model

The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model

Mechanoethology: The Physical Mechanisms of Behavior

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