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

Abstract 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 mo...

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Autores principales:	Alexander Kovalev, Alexander E. Filippov, Stanislav N. Gorb
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d3ebae5309dd46bc8a38415d26ccddca
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spelling	oai:doaj.org-article:d3ebae5309dd46bc8a38415d26ccddca2021-12-02T17:19:17ZNumerical model of the spatio-temporal dynamics in a water strider group10.1038/s41598-021-96686-w2045-2322https://doaj.org/article/d3ebae5309dd46bc8a38415d26ccddca2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96686-whttps://doaj.org/toc/2045-2322Abstract 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.Alexander KovalevAlexander E. FilippovStanislav N. GorbNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Alexander Kovalev Alexander E. Filippov Stanislav N. Gorb Numerical model of the spatio-temporal dynamics in a water strider group
description	Abstract 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.
format	article
author	Alexander Kovalev Alexander E. Filippov Stanislav N. Gorb
author_facet	Alexander Kovalev Alexander E. Filippov Stanislav N. Gorb
author_sort	Alexander Kovalev
title	Numerical model of the spatio-temporal dynamics in a water strider group
title_short	Numerical model of the spatio-temporal dynamics in a water strider group
title_full	Numerical model of the spatio-temporal dynamics in a water strider group
title_fullStr	Numerical model of the spatio-temporal dynamics in a water strider group
title_full_unstemmed	Numerical model of the spatio-temporal dynamics in a water strider group
title_sort	numerical model of the spatio-temporal dynamics in a water strider group
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d3ebae5309dd46bc8a38415d26ccddca
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_version_	1718381051336720384

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

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