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相关论文: Inferring birth versus death dynamics for ecologic…

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A stochastic birth-death competition model for particles with excluded volume is proposed. The particles move, reproduce, and die on a regular lattice. While the death rate is constant, the birth rate is spatially nonlocal and implements…

生物物理 · 物理学 2017-06-29 Nagi Khalil , Cristóbal López , Emilio Hernández-García

Motivated by a model of an area-wide integrated pest management, we develop an interacting particle system evolving in a random environment. It is a generalised contact process in which the birth rate takes two possible values, determined…

概率论 · 数学 2015-08-27 Kevin Kuoch

Populations are made up of an integer number of individuals and are subject to stochastic birth-death processes whose rates may vary in time. Useful quantities, like the chance of ultimate fixation, satisfy an appropriate difference…

种群与进化 · 定量生物学 2020-07-22 Jayant Pande , Nadav M. Shnerb

We introduce and study a stochastic model for the dynamics of colonial species, which reproduce through fission or fragmentation. The fission rate depends on the relative sizes of colonies in the population, and the growth rate of colonies…

概率论 · 数学 2025-01-30 Sylvain Billiard , Charles Medous , Charline Smadi

We investigate the competing effects and relative importance of intrinsic demographic and environmental variability on the evolutionary dynamics of a stochastic two-species Lotka-Volterra model by means of Monte Carlo simulations on a…

种群与进化 · 定量生物学 2013-01-28 Ulrich Dobramysl , Uwe C. Tauber

Strong positive feedback is considered a necessary condition to observe abrupt shifts of ecosystems. A few previous studies have shown that demographic noise -- arising from the probabilistic and discrete nature of birth and death processes…

种群与进化 · 定量生物学 2021-06-22 Sabiha Majumder , Ayan Das , Appilineni Kushal , Sumithra Sankaran , Vishwesha Guttal

We are interested in the long time behavior of a two-type density-dependent biological population conditioned to non-extinction, in both cases of competition or weak cooperation between the two species. This population is described by a…

概率论 · 数学 2008-11-04 Patrick Cattiaux , Sylvie Méléard

A model of interacting random walkers is presented and shown to give rise to patterns consisting in periodic arrangements of fluctuating particle clusters. The model represents biological individuals that die or reproduce at rates depending…

统计力学 · 物理学 2009-11-10 Cristobal Lopez , Emilio Hernandez-Garcia

Discrete time, spatially extended models play an important role in ecology, modelling population dynamics of species ranging from micro-organisms to birds. An important question is how 'bottom up', individual-based models can be…

种群与进化 · 定量生物学 2023-01-20 Linnéa Gyllingberg , David J. T. Sumpter , Åke Brännström

This chapter provides a pedagogical introduction and overview of spatial and temporal correlation and fluctuation effects resulting from the fundamentally stochastic kinetics underlying chemical reactions and the dynamics of populations or…

统计力学 · 物理学 2019-11-22 Uwe C. Täuber

Classical approaches to ecological stability rely on fully connected interaction models, yet real ecosystems are sparse and structured--a feature that qualitatively reshapes their collective dynamics. Here, we establish a thermodynamically…

无序系统与神经网络 · 物理学 2025-12-30 Mattia Tarabolo , Luca Dall'Asta , Roberto Mulet

An ecosystem is a nonlinear dynamical system, its orbits giving rise to the observed complexity in the system. The diverse components of the ecosystem interact in discrete time to give rise to emergent features that determine the trajectory…

动力系统 · 数学 2015-07-29 Sudeepto Bhattacharya , L. M. Saha

Explaining coexistence in species-rich communities of primary producers remains a challenge for ecologists because of their likely competition for shared resources. Following Hutchinson's seminal suggestion, many theoreticians have tried to…

种群与进化 · 定量生物学 2019-04-25 Coralie Picoche , Frederic Barraquand

The study of interactions between multiple species in an ecosystem is an active and impactful direction of inquiry. This is true in particular for fragile systems in which even small perturbations of their functional parameters can produce…

种群与进化 · 定量生物学 2025-01-14 Anca Radulescu , Richard Halpern , Drew Kozlowski , Conor O'Riordan

Biological organisms have to cope with stochastic variations in both the external environment and the internal population dynamics. Theoretical studies and laboratory experiments suggest that population diversification could be an effective…

种群与进化 · 定量生物学 2017-09-13 BingKan Xue , Stanislas Leibler

We develop a stochastic framework for viral population dynamics at the cellular level that explicitly incorporates the replication cycle with random stage durations. The model is formulated as a structured birth-death process coupled with a…

种群与进化 · 定量生物学 2026-05-13 Seong Jun Park

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

The evolution of two species with different fitness is investigated on degree-heterogeneous graphs. The population evolves either by one individual dying and being replaced by the offspring of a random neighbor (voter model (VM) dynamics)…

种群与进化 · 定量生物学 2009-11-13 T. Antal , S. Redner , V. Sood

Evolutionary branching is analysed in a stochastic, individual-based population model under mutation and selection. In such models, the common assumption is that individual reproduction and life career are characterised by values of a…

种群与进化 · 定量生物学 2025-10-01 S. Sagitov , B. Mehlig , P. Jagers , V. Vatutin

We analyze an interacting particle system with a Markov evolution of birth-and-death type. We have shown that a local competition mechanism (realized via a density dependent mortality) leads to a globally regular behavior of the population…

数学物理 · 物理学 2015-01-27 Dmitri Finkelshtein , Yuri Kondratiev , Oleksandr Kutoviy