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相关论文: On the evolution of slow dispersal in multi-specie…

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Dispersal is an important strategy that allows organisms to locate and exploit favorable habitats. The question arises: given competition in a spatially heterogeneous landscape, what is the optimal rate of dispersal? Continuous population…

种群与进化 · 定量生物学 2010-02-05 Jack N. Waddell , Leonard M. Sander , Charles R. Doering

We consider a mutation-selection model of a population structured by the spatial variables and a trait variable which is the diffusion rate. Competition for resource is local in spatial variables, but nonlocal in the trait variable. We…

偏微分方程分析 · 数学 2020-04-20 King-Yeung Lam , Yuan Lou

We consider a system of two competing populations in two-dimensional heterogeneous environments. The populations are assumed to move horizontally and vertically with different probabilities, but are otherwise identical. We regard these…

偏微分方程分析 · 数学 2020-02-26 Emeric Bouin , Guillaume Legendre , Yuan Lou , Nichole Slover

Dispersal of species to find a more favorable habitat is important in population dynamics. Dispersal rates evolve in response to the relative success of different dispersal strategies. In a simplified deterministic treatment (J. Dockery, V.…

种群与进化 · 定量生物学 2009-07-28 David A. Kessler , Leonard M. Sander

We consider a model for a population in a heterogeneous environment, with logistic type local population dynamics, under the assumption that individuals can switch between two different nonzero rates of diffusion. Such switching behavior…

偏微分方程分析 · 数学 2020-01-14 Robert Stephen Cantrell , Chris Cosner , Xiao Yu

How should dispersal strategies be chosen to increase the likelihood of survival of a species? We obtain the answer for the spatially extended versions of three well-known models of two competing species with unequal diffusivities. Though…

种群与进化 · 定量生物学 2020-07-08 Tapas Singha , Prasad Perlekar , Mustansir Barma

We study an individual-based model in which two spatially-distributed species, characterized by different diffusivities, compete for resources. We consider three different ecological settings. In the first, diffusing faster has a cost in…

种群与进化 · 定量生物学 2016-01-27 Simone Pigolotti , Roberto Benzi

The dynamics of dispersal-structured populations, consisting of competing individuals that are characterized by different diffusion coefficients but are otherwise identical, is investigated. Competition is taken into account through…

生物物理 · 物理学 2020-04-15 E. Heinsalu , D. Navidad Maeso , M. Patriarca

The problem of natural selection in dispersal-structured populations consisting of individuals characterized by different diffusion coefficients is studied. The competition between the organisms is taken into account through the assumption…

适应与自组织系统 · 物理学 2020-05-01 E. Heinsalu , D. Navidad Maeso , M. Patriarca

We examine the two-dimensional extension of the model of Kessler and Sander of competition between two species identical except for dispersion rates. In this class of models, the spatial inhomogeneity of reproduction rates gives rise to an…

种群与进化 · 定量生物学 2015-06-12 Shlomit Weisman , David A. Kessler

Stochastic models of diffusion with excluded-volume effects are used to model many biological and physical systems at a discrete level. The average properties of the population may be described by a continuum model based on partial…

化学物理 · 物理学 2012-12-20 Maria Bruna , S. Jonathan Chapman

This paper provides an elementary, self-contained analysis of diffusion-based sampling methods for generative modeling. In contrast to existing approaches that rely on continuous-time processes and then discretize, our treatment works…

机器学习 · 统计学 2025-06-25 Galen Reeves , Henry D. Pfister

We study a stochastic spatial model of biological competition in which two species have the same birth and death rates, but different diffusion constants. In the absence of this difference, the model can be considered as an off-lattice…

种群与进化 · 定量生物学 2015-06-16 Simone Pigolotti , Roberto Benzi

We model the growth, dispersal and mutation of two phenotypes of a species using reaction-diffusion equations, focusing on the biologically realistic case of small mutation rates. After verifying that the addition of a small linear mutation…

偏微分方程分析 · 数学 2017-09-19 Aled Morris , Luca Börger , Elaine Crooks

Diffusion models, which convert noise into new data instances by learning to reverse a diffusion process, have become a cornerstone in contemporary generative modeling. In this work, we develop non-asymptotic convergence theory for a…

机器学习 · 计算机科学 2024-08-06 Gen Li , Yuting Wei , Yuejie Chi , Yuxin Chen

In this paper, we study a two stream species Lotka-Volterra competition patch model with the patches aligned along a line. The two species are supposed to be identical except for the diffusion rates. For each species, the diffusion rates…

种群与进化 · 定量生物学 2023-01-18 Shanshan Chen , Jie Liu , Yixiang Wu

Classical theory predicts that for two competing populations subject to a constant downstream drift, the faster disperser will competitively exclude the slower disperser. In the current work, we consider a novel model of a "much faster"…

偏微分方程分析 · 数学 2025-10-08 Erin Ellefsen , Rana Parshad , Vaibhava Srivastava

Does a high dispersal rate provide a competitive advantage when risking competitive exclusion? To this day, the theoretical literature cannot answer this question in full generality. The present paper focuses on the simplest mathematical…

偏微分方程分析 · 数学 2020-02-24 Léo Girardin

We study the propagation speed of bistable traveling waves in the classical two-component diffusive Lotka-Volterra system under strong competition. From an ecological perspective, the sign of the propagation speed determines the long-term…

偏微分方程分析 · 数学 2025-10-17 Ken-Ichi Nakamura , Toshiko Ogiwara

We investigate the phenomenology emerging from a 2-species dynamics under the scenario of a quasi-neutral competition within a metapopulation framework. We employ stochastic and deterministic approaches, namely spatially-constrained…

种群与进化 · 定量生物学 2021-02-05 Marcelo A. Pires , Nuno Crokidakis , Silvio M. Duarte Queirós
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