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相关论文: An evolutionary model for simple ecosystems

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We present an individual-based model of phenotypic trait evolution in two-sex populations, which includes semi-random mating of individuals of the opposite sex, natural death and intra-specific competition. By passing the number of…

概率论 · 数学 2015-02-24 Paweł Zwoleński

While generic competitive systems exhibit mixtures of hierarchy and cycles, real-world systems are predominantly hierarchical. We demonstrate and extend a mechanism for hierarchy; systems with similar agents approach perfect hierarchy in…

种群与进化 · 定量生物学 2024-02-12 Christopher Cebra , Alexander Strang

If two species exhibit different nonlinear responses to a single shared resource, and if each species modifies the resource dynamics such that this favors its competitor, they may stably coexist. This coexistence mechanism, known as…

种群与进化 · 定量生物学 2015-06-16 Florian Hartig , Tamara Münkemüller , Karin Johst , Ulf Dieckmann

We study the statistics of ecosystems with a variable number of co-evolving species. The species interact in two ways: by prey-predator relationships and by direct competition with similar kinds. The interaction coefficients change slowly…

适应与自组织系统 · 物理学 2015-06-26 Michael Lassig , Ugo Bastolla , Susanna C. Manrubia , Angelo Valleriani

We study an individual-based predator-prey model of biological coevolution, using linear stability analysis and large-scale kinetic Monte Carlo simulations. The model exhibits approximate 1/f noise in diversity and population-size…

种群与进化 · 定量生物学 2007-06-13 Per Arne Rikvold , Volkan Sevim

One of the aims of systems biology is to build multiple layered and multiple scale models of living systems which can efficiently describe phenomena occurring at various level of resolution. Such models should consist of layers of various…

动力系统 · 数学 2015-03-03 Jacek Banasiak , Aleksandra Falkiewicz , Proscovia Namayanja

The influence of time-dependent fitnesses on the infinite population dynamics of simple genetic algorithms (without crossover) is analyzed. Based on general arguments, a schematic phase diagram is constructed that allows one to characterize…

生物物理 · 物理学 2007-05-23 Christopher Ronnewinkel , Claus O. Wilke , Thomas Martinetz

Recently we have introduced a simplified model of ecosystem assembly (Capitan et al., 2009) for which we are able to map out all assembly pathways generated by external invasions in an exact manner. In this paper we provide a deeper…

种群与进化 · 定量生物学 2015-02-18 Jose A. Capitan , Jose A. Cuesta

Species evolution is essentially a random process of interaction between biological populations and their environments. As a result, some physical parameters in evolution models are subject to statistical fluctuations. In this paper, two…

种群与进化 · 定量生物学 2015-06-02 Duo-Fang Li , Tian-Guang Cao , Jin-Peng Geng , Li-Hua Qiao , Jian-Zhong Gu , Yong Zhan

In order to accommodate the empirical fact that population structures are rarely simple, modern studies of evolutionary dynamics allow for complicated and highly-heterogeneous spatial structures. As a result, one of the most difficult…

种群与进化 · 定量生物学 2022-07-07 Alex McAvoy , John Wakeley

In this paper we study collective decision making on a multi-population, represented by a regular network of groups of individuals. Each group consists of a collection of players and every player can choose between two options. A group is…

最优化与控制 · 数学 2020-11-18 Wouter Baar , Dario Bauso

The time evolution of a simple model for crossover is discussed. A variant of this model with an improved exploration behavior in phase space is derived as a subset of standard one- and multi-point crossover operations. This model is solved…

adap-org · 物理学 2015-06-30 Stefan Bornholdt , Heinz Georg Schuster

We introduce a stochastic cellular automaton as a model for culture and border formation. The model can be conceptualized as a game where the expansion rate of cultures is quantified in terms of their area and perimeter in such a way that…

物理与社会 · 物理学 2023-11-09 Frederik Ravn Klausen , Asbjørn Bækgaard Lauritsen

We study the adaptation dynamics of an initially maladapted asexual population with genotypes represented by binary sequences of length $L$. The population evolves in a maximally rugged fitness landscape with a large number of local optima.…

种群与进化 · 定量生物学 2007-05-23 Kavita Jain , Joachim Krug

These notes introduce probabilistic landscape models defined on high-dimensional discrete sequence spaces. The models are motivated primarily by fitness landscapes in evolutionary biology, but links to statistical physics and computer…

种群与进化 · 定量生物学 2025-12-24 Sakshi Pahujani , Joachim Krug

The maintenance of diversity, the `commonness of rarity', and compositional turnover are ubiquitous features of species-rich communities. Through a minimal model, we consider how these features reflect the interplay between environmental…

种群与进化 · 定量生物学 2025-12-04 Emil Mallmin , Arne Traulsen , Silvia De Monte

The spatio-temporal dynamics of a population present one of the most fascinating aspects and challenges for ecological modelling. In this article we review some simple mathematical models, based on one dimensional…

种群与进化 · 定量生物学 2008-11-18 A. B. Ryabov , B. Blasius

We prove the existence and uniqueness of a quasi-stationary distribution for three stochastic processes derived from the model of Muller's ratchet. This model was invented with the aim of evaluating the limitations of an asexual…

概率论 · 数学 2024-04-02 Mauro Mariani , Etienne Pardoux , Aurélien Velleret

We present a model for evolution and extinction in large ecosystems. The model incorporates the effects of interactions between species and the influences of abiotic environmental factors. We study the properties of the model by approximate…

adap-org · 物理学 2008-02-03 Bruce W. Roberts , M. E. J. Newman

We consider the evolution of populations under the joint action of mutation and differential reproduction, or selection. The population is modelled as a finite-type Markov branching process in continuous time, and the associated…

种群与进化 · 定量生物学 2009-02-23 Ellen Baake , Hans-Otto Georgii