“Cylindrical worlds” in biology: Does the aggregation strategy give a selective advantage?

Filippov, Alexander É.; Ferreira, Rhainer Guillermo Nascimento; Gorb, Stanislav N.

doi:10.1016/j.biosystems.2018.10.016

Cited by 5 publications

(7 citation statements)

References 36 publications

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“…where the coefficient B attract jk , situated before the exponent, regulates the attraction strength, and R attract jk characterizes the effective distance of the attraction. In the case of aggregation studied earlier, [23] the attraction is normally weaker than the repulsion and acts at relatively long distances. However, for the case discussed here, the attraction of the beetle without the ball to the one already having it appears at the distance, comparable to the same for repulsion.…”

Section: Collective Behavior Of the Interacting Beetlesmentioning

confidence: 86%

“…In the majority of cases, such an attraction has an important biological meaning of a tendency to aggregation. [ 23 ] The tendency to aggregation often gives some competitive advantage due to possible collective reactions, e.g., on the attacks of the predator and on the other external challenges, or due to the “collective” search of the places, where a portion of the dung is disposed. However, for the system under consideration, the general impact to the attraction is probably not very specific.…”

Section: Numerical Modelmentioning

confidence: 99%

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Numerical Modeling of the Collective Behavior of Scarab Beetles Transporting Dung Balls and Competing for Them on Complex Terrain

Filippov

Gorb

2022

Advcd Theory and Sims

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To avoid competition for the same food resource, scarab beetles form dung ball and roll it away from the dung pile. They randomly choose direction which they strictly follow. According to previous results, the dynamic behavior of the beetle rolling dung ball is essentially defined by the complexity of the surface. The typical real surface is combined from a universal scale invariant (fractal) component and another component having a well‐defined characteristic scale. If the transported dung ball has a size comparable with the dimensions of peculiarities of the surface, it strongly influences the motion trajectory. On the flat terrain and at the absence of competitors, beetles manage to roll the ball along a nearly perfect straight path. However, even if the beetle is alone, on a more realistic terrain, the motion is more complex. The motion becomes much more complicated in the realistic situation, when the beetles complete for the balls. In this study, a numerical model is developed which combines 1) attraction of the beetles to the dung, (2) production of the balls of different sizes depending on the size/fitness of the animals, 3) the ball transportation on complex terrains, and 4) the competition between the beetles for already existing balls. A strong correlation between typical radius of the ball and the size of the relief minimums and the results of the competitions, as well as possible optimal strategies of the beetle behavior are found.

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Section: Collective Behavior Of the Interacting Beetlesmentioning

confidence: 86%

Section: Numerical Modelmentioning

confidence: 99%

Numerical Modeling of the Collective Behavior of Scarab Beetles Transporting Dung Balls and Competing for Them on Complex Terrain

Filippov

Gorb

2022

Advcd Theory and Sims

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“…The idea of such a model is rather pioneering for swarming group of insects in 2D space. In contrast to the previous model of the psocopteran group of same-aged animals, living in “cylindrical” space on the tree trunk 4 , the group of water striders consists of individuals of different size and different age. Consistently, this group is expected to behave strongly dependent on the size distribution of individuals within the group.…”

Section: Introductionmentioning

confidence: 86%

“…Normally such repulsion appears at relatively short distances corresponding to a radius of their private territory. Besides, there is mutual attraction at longer distances , which biologically corresponds to a tendency to aggregation 4 . The tendency to aggregation often gives some competitive advantage due to possible collective reactions on the external challenges (for example, on the attacks of predators).…”

Section: Numerical Modelmentioning

confidence: 99%

“…The simplest way to simulate an interaction with regulated characteristic distance is to use Gaussian effective potential with some characteristic radius , since the Gaussian potential guaranty the stability in dynamics simulations with relatively large 4 . Repulsion force in this case looks as follows: where factor A 0 < 0 defines an amplitude of the attraction, vector describes a position of some particular animal and the array of the vectors describe the positions of all other animals numerated by index with total number of them in the population N .…”

Section: Numerical Modelmentioning

confidence: 99%

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Numerical model of the spatio-temporal dynamics in a water strider group

Kovalev

Filippov

Gorb

2021

Sci Rep

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The water strider group demonstrates a very complex dynamics consisting of competition for the food items, territoriality and aggression to the conspecific individuals, escaping from the predators, etc. The situation is even more complex due to the presence of different instars, which in most water strider species live in the same habitat and occupy the same niche. The presented swarm model of water striders demonstrates the realistic population dynamics. For the swarm formation in the model, attraction and repulsion forces were used. Animal motion in the model takes into account inertia and kinetic energy dissipation effects. The model includes three different rates related to the growth of individuals: food appearance rate, food assimilation rate, and stored energy loss rate. The results of our modeling show that the size distribution of individuals seems to be an adequate measure for population status, and it has a characteristic shape for different model parameter combinations. Distribution of the distances between nearest neighbors is other important measure of the population density and its dynamics. Parameters of the model can be tuned in such a way, that the shape of both distributions in a steady phase coincides with that shape observed in a natural population, which helps to understand the factors leading to particular momentary distribution of both parameters (size and distance) in the population. From this point of view, the model can predict how both distributions can further develop from certain state depending on particular combination of factors.

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Ecology and Evolution

Filippov¹,

Gorb²

2020

Biologically-Inspired Systems

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“Cylindrical worlds” in biology: Does the aggregation strategy give a selective advantage?

Cited by 5 publications

References 36 publications

Numerical Modeling of the Collective Behavior of Scarab Beetles Transporting Dung Balls and Competing for Them on Complex Terrain

Numerical Modeling of the Collective Behavior of Scarab Beetles Transporting Dung Balls and Competing for Them on Complex Terrain

Numerical model of the spatio-temporal dynamics in a water strider group

Ecology and Evolution

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