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Understanding the time evolution of fragmented animal populations and their habitats, connected by migration, is a problem of both theoretical and practical interest. This paper presents a method for calculating the time evolution of the…

种群与进化 · 定量生物学 2008-12-04 Anders Eriksson

The dynamics of two competing species in a finite size community is one of the most studied problems in population genetics and community ecology. Stochastic fluctuations lead, inevitably, to the extinction of one of the species, but the…

种群与进化 · 定量生物学 2016-11-30 Matan Danino , David A. Kessler , Nadav M. Shnerb

One essential ingredient of evolutionary theory is the concept of fitness as a measure for a species' success in its living conditions. Here, we quantify the effect of environmental fluctuations onto fitness by analytical calculations on a…

种群与进化 · 定量生物学 2015-05-19 Anna Melbinger , Massimo Vergassola

Molecular phenotypes link genomic information with organismic functions, fitness, and evolution. Quantitative traits are complex phenotypes that depend on multiple genomic loci. In this paper, we study the adaptive evolution of a…

种群与进化 · 定量生物学 2015-06-19 Torsten Held , Armita Nourmohammad , Michael Lässig

We are interested in populations in which the fitness of different genetic types fluctuates in time and space, driven by temporal and spatial fluctuations in the environment. For simplicity, our population is assumed to be composed of just…

概率论 · 数学 2018-12-21 Niloy Biswas , Alison Etheridge , Aleksander Klimek

Both evolution and ecology have long been concerned with the impact of variable environmental conditions on observed levels of genetic diversity within and between species. We model the evolution of a quantitative trait under selection that…

种群与进化 · 定量生物学 2014-11-17 Hannes Svardal , Claus Rueffler , Joachim Hermisson

The environment in which a population evolves can have a crucial impact on selection. We study evolutionary dynamics in finite populations of fixed size in a changing environment. The population dynamics are driven by birth and death…

种群与进化 · 定量生物学 2014-09-01 Peter Ashcroft , Philipp M Altrock , Tobias Galla

Evolutionary game theory has traditionally employed deterministic models to describe population dynamics. These models, due to their inherent nonlinearities, can exhibit deterministic chaos, where population fluctuations follow complex,…

种群与进化 · 定量生物学 2025-04-02 Maria Alejandra Ramirez , George Datseris , Arne Traulsen

Environmental variability greatly influences the eco-evolutionary dynamics of a population, i.e. it affects how its size and composition evolve. Here, we study a well-mixed population of finite and fluctuating size whose growth is limited…

种群与进化 · 定量生物学 2021-10-14 Karl Wienand , Erwin Frey , Mauro Mobilia

We derive an expression for the variation between parallel trajectories in phenotypic evolution, extending the well known result that predicts the mean evolutionary path in adaptive dynamics or quantitative genetics. We show how this…

种群与进化 · 定量生物学 2010-04-27 Carl Boettiger , Jonathan Dushoff , Joshua S. Weitz

We describe a continuous-time modelling framework for biological population dynamics that accounts for demographic noise. In the spirit of the methodology used by statistical physicists, transitions between the states of the system are…

种群与进化 · 定量生物学 2018-07-19 George W. A. Constable , Alan J. McKane

Understanding the statistical dynamics of growth and inequality is a fundamental challenge to ecology and society. Recent analyses of wealth and income dynamics in contemporary societies show that economic inequality is very dynamic and…

物理与社会 · 物理学 2022-10-19 Jordan T. Kemp , Luis M. A. Bettencourt

Existing theoretical models of evolution focus on the relative fitness advantages of different mutants in a population while the dynamic behavior of the population size is mostly left unconsidered. We here present a generic stochastic model…

种群与进化 · 定量生物学 2010-10-20 Anna Melbinger , Jonas Cremer , Erwin Frey

Populations evolving under the joint influence of recombination and resampling (traditionally known as genetic drift) are investigated. First, we summarise and adapt a deterministic approach, as valid for infinite populations, which assumes…

种群与进化 · 定量生物学 2009-02-20 Ellen Baake , Inke Herms

A fundamental problem in the fields of population genetics, evolution, and community ecology, is the fate of a single mutant, or invader, introduced in a finite population of wild types. For a fixed-size community of $N$ individuals, with…

种群与进化 · 定量生物学 2017-10-25 Matan Danino , Nadav M. Shnerb

Evolution has fascinated quantitative and physical scientists for decades: how can the random process of mutation, recombination, and duplication of genetic information generate the diversity of life? What determines the rate of evolution?…

种群与进化 · 定量生物学 2018-04-23 Richard A. Neher , Aleksandra M. Walczak

Biological populations are subject to two types of noise: demographic stochasticity due to fluctuations in the reproductive success of individuals, and environmental variations that affect coherently the relative fitness of entire…

种群与进化 · 定量生物学 2018-04-04 Matan Danino , David A. Kessler , Nadav M. Shnerb

In subdivided populations, migration acts together with selection and genetic drift and determines their evolution. Building up on a recently proposed method, which hinges on the emergence of a time scale separation between local and global…

种群与进化 · 定量生物学 2015-03-24 Pierangelo Lombardo , Andrea Gambassi , Luca Dall'Asta

We study a general setting of neutral evolution in which the population is of finite, constant size and can have spatial structure. Mutation leads to different genetic types ("traits"), which can be discrete or continuous. Under minimal…

种群与进化 · 定量生物学 2018-11-02 Alex McAvoy , Ben Adlam , Benjamin Allen , Martin A. Nowak

Two mathematical models of macroevolution are studied. These models have population dynamics at the species level, and mutations and extinction of species are also included. The population dynamics are updated by difference equations with…

种群与进化 · 定量生物学 2014-04-16 Yohsuke Murase , Takashi Shimada , Nobuyasu Ito , Per Arne Rikvold