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In this paper, we establish a reaction-diffusion-advection partial differential equation model to describe the growth of algae depending on both nutrients and inorganic carbon in a poorly mixed water column. Nutrients from the water bottom…

种群与进化 · 定量生物学 2020-02-10 Jimin Zhang , Junping Shi , Xiaoyuan Chang

Ecological processes depend on the flow and balance of essential elements such as carbon (C) and phosphorus (P), and changes in these elements can cause adverse effects to ecosystems. The theory of Ecological Stoichiometry offers a…

种群与进化 · 定量生物学 2025-11-19 Tomas Ascoli , Dhruba Pariyar Damay , Jing Li , Angela Peace , Gregory D. Mayer , Rebecca A. Everett

We analyze plankton-nutrient food chain models composed of phytoplankton, herbivorous zooplankton and a limiting nutrient. These models have played a key role in understanding the dynamics of plankton in the oceanic layer. Given the strong…

概率论 · 数学 2024-07-10 Alexandru Hening , Nguyen Trong Hieu , Dang Hai Nguyen , Nhu Ngoc Nguyen

An ecosystem made of nutrients, plants, detritus and dissolved oxygen is presented. Its equilibria are established. Sufficient conditions for the existence of the coexistence equilibrium are derived and its feasibility is discussed in every…

种群与进化 · 定量生物学 2017-01-25 Han Li Qiao , Ezio Venturino

Sigmoid growth models are often used to study population dynamics. The size of a population at equilibrium commonly depends explicitly on the availability of resources, such as an energy or nutrient source, which is not explicit in standard…

种群与进化 · 定量生物学 2025-03-17 Elise Mills , Graeme F. Clark , Matthew J. Simpson , Mark Baird , Matthew P. Adams

Ecological systems show a variety of characteristic patterns of biodiversity in space and time. It is a challenge for theory to find models that can reproduce and explain the observed patterns. Since the advent of island biogeography these…

种群与进化 · 定量生物学 2019-10-21 Michaela Hamm , Barbara Drossel

Microbial ecosystems are remarkably diverse, stable, and often consist of a balanced mixture of core and peripheral species. Here we propose a conceptual model exhibiting all these emergent properties in quantitative agreement with real…

种群与进化 · 定量生物学 2018-04-18 Akshit Goyal , Sergei Maslov

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

Microbial communities routinely have several alternative stable states observed for the same environmental parameters. Sudden and irreversible transitions between these states make external manipulation of these systems more complicated. To…

种群与进化 · 定量生物学 2018-10-12 Veronika Dubinkina , Yulia Fridman , Parth Pandey , Sergei Maslov

In this paper we present a study of local dynamics of the growth of cancer tumor and healthy cells considering the presence of nutrients in the system. We also analyze the evolution of system if we take indirectly into account the level of…

生物物理 · 物理学 2019-01-29 Cristian C. Pérez Águila , Maura Cárdenas G. , J. Fernando Rojas

The paradox of the plankton highlights the apparent contradiction between Gause's law of competitive exclusion and the observed diversity of phytoplankton. It is well known that phytoplankton dynamics depend heavily on two main resources:…

种群与进化 · 定量生物学 2021-09-07 Christopher M. Heggerud , King-Yeung Lam , Hao Wang

Regardless of a system's complexity or scale, its growth can be considered to be a spontaneous thermodynamic response to a local convergence of down-gradient material flows. Here it is shown how growth can be constrained to a few distinct…

大气与海洋物理 · 物理学 2012-11-14 Timothy J. Garrett

Nutrient gradients and limitations play a pivotal role in the life of all microbes, both in their natural habitat as well as in artificial, microfluidic systems. Spatial concentration gradients of nutrients in densely packed cell…

I consider how cell shape and environmental geometry affect the rate of nutrient capture and the consequent maximum growth rate of a cell, focusing on rod-like species like \textit{E.\ coli}. Simple modeling immediately implies that it is…

生物物理 · 物理学 2014-03-27 Jonathan Landy

The ocean is filled with microscopic microalgae called phytoplankton, which together are responsible for as much photosynthesis as all plants on land combined. Our ability to predict their response to the warming ocean relies on…

应用统计 · 统计学 2022-08-05 Sangwon Hyun , Mattias Rolf Cape , Francois Ribalet , Jacob Bien

High-throughput experimental techniques and bioinformatics tools make it possible to obtain reconstructions of the metabolism of microbial species. Combined with mathematical frameworks such as flux balance analysis, which assumes that…

Our planet is roughly closed to matter, but open to energy input from the sun. However, to harness this energy, organisms must transform matter from one chemical (redox) state to another. For example, photosynthetic organisms can capture…

种群与进化 · 定量生物学 2024-03-04 Akshit Goyal , Avi I. Flamholz , Alexander P. Petroff , Arvind Murugan

Phytoplankton are tiny floating plants (algae) living in oceans. In the process of photosynthesis, phytoplankton produces half of the world's oxygen. Moreover, by primary production, death and sinking, they transport carbon from the ocean's…

动力系统 · 数学 2012-12-24 R. K. Upadhyay

We address a novel approach for stochastic individual-based modelling of a single species population. Individuals are distinguished by their remaining lifetimes, which are regulated by the interplay between the inexorable running of time…

种群与进化 · 定量生物学 2021-01-08 Luis R. T. Neves , Leonardo Paulo Maia

Why are large, complex ecosystems stable? Both theory and simulations of current models predict the onset of instability with growing size and complexity, so for decades it has been conjectured that ecosystems must have some unidentified…

种群与进化 · 定量生物学 2016-08-11 Samuel Johnson , Virginia Domínguez-García , Luca Donetti , Miguel A. Muñoz
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