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相关论文: Dynamical phase coexistence: A simple solution to …

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In any ecosystem, the conditions of the environment and the characteristics of the species that inhabit it are entangled, co-evolving in space and time. We introduce a model that couples active agents with a dynamic environment, interpreted…

种群与进化 · 定量生物学 2025-12-10 G. Briozzo , G. J. Sibona , F. Peruani

Phase separation routinely occurs in both living and synthetic systems. These phases are often complex and distinguished by features including crystallinity, nematic order, and a host of other nonconserved order parameters. For systems at…

统计力学 · 物理学 2025-12-08 Daniel Evans , Ahmad K. Omar

Here, we address the essential question of whether, in the context of evolving populations, ecosystems attain properties that enable persistence of the ecosystem itself. We use a simple ecosystem model describing resource, producer, and…

种群与进化 · 定量生物学 2014-07-29 Jarad P. Mellard , Ford Ballantyne

We introduce a new interacting particle system intended to model an example of ecological succession involving two species: the bracken and the european beech. The objective is to exhibit phase transitions by proving that there exist three…

概率论 · 数学 2007-05-23 Nicolas Lanchier

The storage effect is a well-known explanation for coexistence in temporally varying environments. Like many complex ecological theories, the storage effect is often used as an explanation for observed coexistence on the basis of heuristic…

种群与进化 · 定量生物学 2023-01-13 Evan C. Johnson , Oscar Godoy , Alan Hastings

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

Triangles are abundant in real-world networks but rare in standard null models for sparse graphs. Existing explanations typically rely on explicit triadic closure mechanisms or geometry-based connection rules. We propose an alternative…

物理与社会 · 物理学 2026-03-19 M. N. Mooij , M. Baudena , A. S. von der Heydt , L. Miele , I. Kryven

What determines biodiversity in nature is a prominent issue in ecology, especially in biotic resource systems that are typically devoid of cross-feeding. Here, we show that by incorporating pairwise encounters among consumer individuals…

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

Soil is a complex, dynamic material, with physical properties that depend on its biological content. We propose a cellular automaton model for self-organizing soil structure, where soil aggregates and serves as food for microbial species.…

生物物理 · 物理学 2025-10-10 Riz Fernando Noronha , Kim Sneppen , Kunihiko Kaneko

Observed bimodal tree cover distributions at particular environmental conditions and theoretical models indicate that some areas in the tropics can be in either of the alternative stable vegetation states forest or savanna. However, when…

种群与进化 · 定量生物学 2021-05-27 Bert Wuyts , Alan R. Champneys , Nicolas Verschueren , Jo I. House

Ecological communities are composed of species interactions that respond to environmental fluctuations. Despite increasing evidence of temporal variation in these interactions, most theoretical frameworks remain rooted in static…

An organism that is newly introduced into an existing population has a survival probability that is dependent on both the population density of its environment and the competition it experiences with the members of that population.…

种群与进化 · 定量生物学 2024-12-17 Jason M. Gray , Rowan J. Barker-Clarke , Jacob G. Scott , Michael Hinczewski

We study a contact process (CP) with two species that interact in a symbiotic manner. In our model, each site of a lattice may be vacant or host individuals of species A and/or B; multiple occupancy by the same species is prohibited.…

统计力学 · 物理学 2012-05-29 Marcelo Martins de Oliveira , Renato Vieira Dos Santos , Ronald Dickman

Instabilities and pattern formation is the rule in nonequilibrium systems. Selection of a persistent lengthscale, or coarsening (increase of the lengthscale with time) are the two major alternatives. When and under which conditions one…

统计力学 · 物理学 2010-01-25 Chaouqi Misbah , Paolo Politi

Several theoretical models predict that spatial patterning increases ecosystem resilience. However, these predictions rely on simplifying assumptions, such as assuming isotropic and infinitely large ecosystems, and empirical evidence…

种群与进化 · 定量生物学 2026-04-06 David Pinto-Ramos , Ricardo Martinez-Garcia

This paper investigates the coexistence of two competing species on random geometric graphs (RGGs) in continuous time. The species grow by occupying vacant sites according to Richardson's model, while simultaneously competing for occupied…

概率论 · 数学 2025-01-28 Cristian F. Coletti , Lucas R. de Lima

Forest transitions, characterized by dynamic shifts between forest, agricultural, and abandoned lands, are complex phenomena. This study developed a stochastic differential equation model to capture the intricate dynamics of these…

机器学习 · 统计学 2025-07-30 Satoshi Kumabe , Tianyu Song , Ton Viet Ta

When complex systems are driven to extinction by some external factor, their non-stationary dynamics can present an intermittent behaviour between relative tranquility and burst of activity whose consequences are often catastrophic. To…

物理与社会 · 物理学 2018-03-21 Juan V Escobar , Isaac Pérez Castillo

Models at various levels of resolution are commonly used, both for forest management and in ecological research. They all have comparative advantages and disadvantages, making desirable a better understanding of the relationships between…

种群与进化 · 定量生物学 2022-02-03 Oscar García

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