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The outcome of competition among species is influenced by the spatial distribution of species and effects such as demographic stochasticity, immigration fluxes, and the existence of preferred habitats. We introduce an individual-based model…

种群与进化 · 定量生物学 2010-07-19 Simone Pigolotti , Massimo Cencini

Competition between species and genotypes is a dominant factor in a variety of ecological and evolutionary processes. Biological dynamics are typically highly stochastic, and therefore, analyzing a competitive system requires accounting for…

种群与进化 · 定量生物学 2025-01-09 Ori Turkia , Nadav M. Shnerb

Certain invasive plants may rely on interference mechanisms (allelopathy, e.g.) to gain competitive superiority over native species. But expending resources on interference presumably exacts a cost in another life-history trait, so that the…

种群与进化 · 定量生物学 2012-06-08 Andrew Allstadt , Thomas Caraco , F. Molnar , G. Korniss

Competition between individuals drives the evolution of whole species. Although the fittest individuals survive the longest and produce the most offspring, in some circumstances the resulting species may not be optimally fit. Here, using…

种群与进化 · 定量生物学 2015-09-24 Tim Rogers , Alan J. McKane

Synergistic and antagonistic interactions in multi-species populations - such as resource sharing and competition - result in remarkably diverse behaviors in populations of interacting cells, such as in soil or human microbiomes, or clonal…

种群与进化 · 定量生物学 2019-10-15 MattheW Badali , Anton Zilman

Environmental variation can play an important role in ecological competition by influencing the relative advantage between competing species. Here, we consider such effects by extending a classical, competitive Moran model to incorporate an…

种群与进化 · 定量生物学 2019-09-18 Ryan Murray , Glenn Young

Natural selection imply that any organisms including human being will evolve to improve its fitness advantage and the selected genotype or phenotype in equilibrium state will not vary over the time. However, evolutionary process of…

种群与进化 · 定量生物学 2024-01-30 Jia-Xu Han , Rui-Wu Wang

Given an endogenous timescale set by invasion in a constant environment, we introduced periodic temporal variation in competitive superiority by alternating the species' propagation rates. By manipulating habitat size and introduction rate,…

种群与进化 · 定量生物学 2011-05-10 Lauren O'Malley , G. Korniss , Sai Satya Praveen Mungara , Thomas Caraco

According to the competitive exclusion principle, in a finite ecosystem, extinction occurs naturally when two or more species compete for the same resources. An important question that arises is: when coexistence is not possible, which…

种群与进化 · 定量生物学 2017-08-16 Marcelo Martins de Oliveira , Ronald Dickman

The entanglement of population dynamics, evolution, and adaptive radiation for species competing for resources is studied. For resource harvesting, we modify the model used in Ref. Phys. Rev. Lett. 118 048103 and introduce new resource…

种群与进化 · 定量生物学 2023-10-03 Sergei V. Koniakhin

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

Predators often consume multiple prey and by mutually subsidizing a shared predator, the prey may reciprocally harm each other. When predation levels are high, this apparent competition can culminate in a prey species being displaced.…

种群与进化 · 定量生物学 2019-02-12 Sebastian J. Schreiber , Swati Patel

Classical models for competition between two species usually predict exclusion or divergent evolution of resource exploitation. However, recent experimental data show that coexistence is possible for very similar species competing for the…

种群与进化 · 定量生物学 2009-11-13 I. C. Charret , J. N. C. Louzada , A. T. Costa

The competitive exclusion principle asserts that coexisting species must occupy distinct ecological niches (i.e. the number of surviving species can not exceed the number of resources). An open question is to understand if and how different…

种群与进化 · 定量生物学 2020-07-29 Wenping Cui , Robert Marsland , Pankaj Mehta

Geographic ranges of communities of species evolve in response to environmental, ecological, and evolutionary forces. Understanding the effects of these forces on species' range dynamics is a major goal of spatial ecology. Previous…

种群与进化 · 定量生物学 2022-02-02 Farshad Shirani , Judith R. Miller

Explaining biodiversity is a fundamental issue in ecology. A long-standing puzzle lies in the paradox of the plankton: many species of plankton feeding on a limited variety of resources coexist, apparently flouting the competitive exclusion…

种群与进化 · 定量生物学 2025-06-18 Ju Kang , Shijie Zhang , Yiyuan Niu , Fan Zhong , Xin Wang

In large clonal populations, several clones generally compete which results in complex evolutionary and ecological dynamics: experiments show successive selective sweeps of favorable mutations as well as long-term coexistence of multiple…

种群与进化 · 定量生物学 2019-03-29 Sylvain Billiard , Charline Smadi

Ecological networks allow us to study the structure and function of ecosystems and gain insights on species resilience/stability. The study of this ecological networks is usually a snapshop focused in a limited specific range of space and…

种群与进化 · 定量生物学 2014-07-17 Andrzej Jarynowski , Fco. Alejandro Lopez-Nunez , Han Fan

The far-reaching consequences of ecological interactions in the dynamics of biological communities remain an intriguing subject. For decades, competition has been a cornerstone in ecological processes, but mounting evidence shows that…

种群与进化 · 定量生物学 2021-07-19 F. Meloni , G. Nakamura , B. Grammaticos , A. S. Martinez , M. Badoual

We consider a couple of models for the dynamics of the populations of two interacting species, inspired by Lotka-Volterra's classical equations. The novelty of this work is that the interaction terms are non local and the interaction occurs…

种群与进化 · 定量生物学 2022-09-21 Mario I. Simoy , Marcelo N. Kuperman
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