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We introduce a new model for large scale evolution and extinction in which species are organized into food chains. The system evolves by two processes: origination/speciation and extinction. In the model, extinction of a given species can…

统计力学 · 物理学 2007-05-23 Luis A. N. Amaral , Martin Meyer

Simulation of population dynamics is a central research theme in computational biology, which contributes to understanding the interactions between predators and preys. Conventional mathematical tools of this theme, however, are incapable…

多智能体系统 · 计算机科学 2020-02-11 Jun Yamada , John Shawe-Taylor , Zafeirios Fountas

Complementarity among species with different traits is one of the basic processes affecting biodiversity, defined as the number of species in the ecosystem. We present here a soluble model ecosystem in which the species are characterized by…

无序系统与神经网络 · 物理学 2009-11-07 Viviane M. de Oliveira , J. F. Fontanari

The composition of ecological communities varies not only between different locations but also in time. Understanding the fundamental processes that drive species towards rarity or abundance is crucial to assessing ecosystem resilience and…

种群与进化 · 定量生物学 2024-11-22 Emil Mallmin , Arne Traulsen , Silvia De Monte

Species-rich communities, such as the microbiota or microbial ecosystems, provide key functions for human health and climatic resilience. Increasing effort is being dedicated to design experimental protocols for selecting community-level…

种群与进化 · 定量生物学 2023-06-22 Jules Fraboul , Giulio Biroli , Silvia De Monte

The emergence of complex structures in the systems governed by a simple set of rules is among the most fascinating aspects of Nature. The particularly powerful and versatile model suitable for investigating this phenomenon is provided by…

适应与自组织系统 · 物理学 2023-10-11 Jarosław Adam Miszczak

Criticality has been proposed as a key principle underlying complex behavior in biological and artificial systems; however, how criticality translates from individual dynamics to collective behavior remains unclear. We study this question…

适应与自组织系统 · 物理学 2026-05-05 Nicolas Bessone , Erwan Plantec

We present a simple model for describing the dynamics of the interaction between a homogeneous population or society, and the natural resources and reserves that the society needs for its survival. The model is formulated in terms of…

物理与社会 · 物理学 2020-04-22 Basil Grammaticos , Ralph Willox , Junkichi Satsuma

Ecosystems, which are intricate amalgams of biological communities and their surrounding environments, continually evolve under the influence of their myriad interactions. The world is currently facing intensifying environmental…

生物物理 · 物理学 2023-11-23 Ikumi Kobayashi

Unlike many physical nonequilibrium systems, in biological systems, the coupling to external energy sources is not a fixed parameter but adaptively controlled by the system itself. We do not have theoretical frameworks that allow for such…

种群与进化 · 定量生物学 2025-06-30 Ankit Dhanuka , Avi I. Flamholz , Arvind Murugan , Akshit Goyal

We examine the feasibility of predicting and subsequently managing the future evolution of a Complex Adaptive System. Our archetypal system mimics a competitive population of mechanical, biological, informational or human objects. We show…

无序系统与神经网络 · 物理学 2007-05-23 David M. D. Smith , Neil F. Johnson

The model of cellular automata is fascinating because very simple local rules can generate complex global behaviors. The relationship between local and global function is subject of many studies. We tackle this question by using results on…

计算复杂性 · 计算机科学 2009-09-29 Christoph Durr , Ivan Rapaport , Guillaume Theyssier

We study the effect of speciation, i.e. the introduction of new species through evolution into communities, in the setting of predator-prey systems. Predator-prey dynamics is classically well modeled by Lotka-Volterra equations, also when…

种群与进化 · 定量生物学 2025-03-20 Christian Hamster , Jorik Schaap , Peter van Heijster , Joshua Dijksman

We propose a model for co-evolving ecosystems that takes into account two levels of description of an organism, for instance genotype and phenotype. Performance at the macroscopic level forces mutations at the microscopic level. These, in…

adap-org · 物理学 2007-05-23 Guillermo Abramson , Jose Luis Vega

Mounting evidence indicates that our planet might experience runaway effects associated to rising temperatures and ecosystem overexploitation, leading to catastrophic shifts on short time scales. Remediation scenarios capable of…

定量方法 · 定量生物学 2015-03-18 Ricard Solé , Salva Duran-Nebreda , Raul Montañez

Cellular automata represent physical systems where both space and time are discrete, and the associated physical quantities assume a limited set of values. While previous research has applied cellular automata in modeling chemical,…

元胞自动机与格子气 · 物理学 2024-10-30 Temitayo Adefemi

Multiple species in the ecosystem are believed to compete cyclically for survival and thus maintain balance in nature. Stochasticity has also an inevitable role in this dynamics. Considering these attributes of nature, the stochastic…

种群与进化 · 定量生物学 2020-08-05 Sirshendu Bhattacharyya , Pritam Sinha , Rina De , Chittaranjan Hens

Anthropogenic activity threatens biodiversity through climate change, habitat fragmentation, and increasing frequency and scale of disturbance. Various theoretical studies have sought to shed light on how these factors could promote or…

种群与进化 · 定量生物学 2026-04-01 Isaac Planas-Sitjà , Ryosuke Iritani , Adam L. Cronin

We present a novel form of Liquid Automata, using this to simulate autopoiesis, whereby living machines self-organise in the physical realm. This simulation is based on an earlier Cellular Automaton described by Francisco Varela. The basis…

元胞自动机与格子气 · 物理学 2024-01-17 Steve Battle

The biological requirements for an ecosystem to develop and maintain species diversity are in general unknown. Here we consider a model ecosystem of sessile and mutually excluding organisms competing for space [Mathiesen et al. Phys. Rev.…

种群与进化 · 定量生物学 2012-09-10 Namiko Mitarai , Joachim Mathiesen , Kim Sneppen