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相关论文: Extinction in neutrally stable stochastic Lotka-Vo…

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A randomly interacting N-species Lotka-Volterra system in the presence of a Gaussian multiplicative noise is analyzed. The investigation is focused on the role of this external noise into the statistical properties of the extinction times…

统计力学 · 物理学 2008-10-07 Alessandro Fiasconaro , Bernardo Spagnolo

We study the role of the noise in the dynamics of two competing species. We consider generalized Lotka-Volterra equations in the presence of a multiplicative noise, which models the interaction between the species and the environment. The…

统计力学 · 物理学 2015-06-24 D. Valenti , A. Fiasconaro , B. Spagnolo

We introduce an individual-based model of a complex ecological community with random interactions. The model contains a large number of species, each with a finite population of individuals, subject to discrete reproduction and death…

种群与进化 · 定量生物学 2023-07-19 Ferran Larroya , Tobias Galla

We present an explicit unified stochastic model of fluctuations in population size due to random birth, death, density-dependent competition and environmental fluctuations. Stochastic dynamics provide insight into small populations,…

种群与进化 · 定量生物学 2008-07-31 Alexei J. Drummond , Peter D. Drummond

We analyze purely competitive many-species Lotka-Volterra systems with random interaction matrices, focusing the attention on statistical properties of their asymptotic states. Generic features of the evolution are outlined from a…

adap-org · 物理学 2009-10-30 Guillermo Abramson , Damian Zanette

We study a model of a multi-species ecosystem described by Lotka-Volterra-like equations. Interactions among species form a network whose evolution is determined by the dynamics of the model. Numerical simulations show power-law…

种群与进化 · 定量生物学 2007-05-23 Francois Coppex , Michel Droz , Adam Lipowski

Cyclic dominance of species has been identified as a potential mechanism to maintain biodiversity, see e.g. B. Kerr, M. A. Riley, M. W. Feldman and B. J. M. Bohannan [Nature {\bf 418}, 171 (2002)] and B. Kirkup and M. A. Riley [Nature {\bf…

种群与进化 · 定量生物学 2007-05-23 Tobias Reichenbach , Mauro Mobilia , Erwin Frey

The dynamics of species' densities depend both on internal and external variables. Internal variables include frequencies of individuals exhibiting different phenotypes or living in different spatial locations. External variables include…

种群与进化 · 定量生物学 2019-03-28 Michel Benaïm , Sebastian J. Schreiber

Understanding under what conditions interacting populations, whether they be plants, animals, or viral particles, coexist is a question of theoretical and practical importance in population biology. Both biotic interactions and…

种群与进化 · 定量生物学 2011-04-26 Sebastian J. Schreiber , Michel Benaïm , Kolawolé A. S. Atchadé

Competitive birth-death processes often exhibit an oscillatory behavior. We investigate a particular case where the oscillation cycles are marginally stable on the mean-field level. An iconic example of such a system is the Lotka-Volterra…

种群与进化 · 定量生物学 2015-05-13 Matthew Parker , Alex Kamenev

Noise, through its interaction with the nonlinearity of the living systems, can give rise to counter-intuitive phenomena such as stochastic resonance, noise-delayed extinction, temporal oscillations, and spatial patterns. In this paper we…

种群与进化 · 定量生物学 2007-05-23 B. Spagnolo , D. Valenti , A. Fiasconaro

For years, a main focus of ecological research has been to better understand the complex dynamical interactions between species which comprise food webs. Using the connectance properties of a widely explored synthetic food web called the…

种群与进化 · 定量生物学 2024-10-16 Sepideh Vafaie , Deepak Bal , Michael A. S. Thorne , Eric Forgoston

It is well-established that including spatial structure and stochastic noise in models for predator-prey interactions invalidates the classical deterministic Lotka-Volterra picture of neutral population cycles. In contrast, stochastic…

种群与进化 · 定量生物学 2011-09-20 Uwe C. Tauber

We analyze a general theory for coexistence and extinction of ecological communities that are influenced by stochastic temporal environmental fluctuations. The results apply to discrete time (stochastic difference equations), continuous…

种群与进化 · 定量生物学 2021-05-19 Alexandru Hening , Dang H. Nguyen , Peter Chesson

We study the persistence and extinction of species in a simple food chain that is modelled by a Lotka-Volterra system with environmental stochasticity. There exist sharp results for deterministic Lotka-Volterra systems in the literature but…

概率论 · 数学 2018-06-04 Alexandru Hening , Dang H. Nguyen

This paper explores a stochastic Gause predator-prey model with bounded or sub-linear functional response. The model, described by a system of stochastic differential equations, captures the influence of stochastic fluctuations on…

种群与进化 · 定量生物学 2024-09-10 Leon Alexander Valencia , Ph. D , Jorge Mario Ramirez Osorio , Jorge Andres Sanchez

Frequency dependent selection and demographic fluctuations play important roles in evolutionary and ecological processes. Under frequency dependent selection, the average fitness of the population may increase or decrease based on…

种群与进化 · 定量生物学 2015-06-23 Weini Huang , Christoph Hauert , Arne Traulsen

Spatially extended population dynamics models that incorporate intrinsic noise serve as case studies for the role of fluctuations and correlations in biological systems. Including spatial structure and stochastic noise in predator-prey…

统计力学 · 物理学 2018-01-09 Ulrich Dobramysl , Mauro Mobilia , Michel Pleimling , Uwe C. Täuber

We consider a system of two stochastic differential equations (SDEs) with competing two-way interactions driven by Brownian motions and spectrally positive $\alpha$-stable random measures. Such a SDE system can be identified as a…

概率论 · 数学 2026-03-09 Jie Xiong , Xu Yang , Xiaowen Zhou

Species extinction is a core process that affects the diversity of life on Earth. Competition between species in a population is considered by ecological niche-based theories as a key factor leading to different severity of species…

种群与进化 · 定量生物学 2020-07-28 Ivan Sudakov , Sergey A. Vakulenko , John T. Bruun
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