Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Linear time-invariant Systems01:23

Linear time-invariant Systems

220
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
220
Speciation Rates01:07

Speciation Rates

21.1K
Overview
21.1K
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

64
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
64
Second Order systems II01:18

Second Order systems II

90
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
90
Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

2.7K
A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
2.7K
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

85
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
85

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Correlations between intraparenchymal cerebral temperature and peripheral temperature monitoring sites during rewarming after deep hypothermic circulatory arrest on cardiopulmonary bypass.

BMC surgery·2026
Same author

Unveiling gene perturbation effects through gene regulatory networks inference from single-cell transcriptomic data.

PLoS computational biology·2026
Same author

Surgical relevance of a pedicled omental flap for the treatment of a recurrent giant mycotic left ventricular pseudoaneurysm: a case report and review of the literature.

Journal of medical case reports·2026
Same author

Generalized Lotka-Volterra systems with quenched random interactions and saturating nonlinear response.

Physical review. E·2026
Same author

Linking complex microbial interactions and dysbiosis through a disordered Lotka-Volterra model.

eLife·2026
Same author

Polymer conformational entropy as the driver of complex coacervation.

Proceedings of the National Academy of Sciences of the United States of America·2026

Related Experiment Video

Updated: Jun 8, 2025

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

18.7K

Generalized Lotka-Volterra Systems with Time Correlated Stochastic Interactions.

Samir Suweis1,2,3, Francesco Ferraro1,2,4, Christian Grilletta1

  • 1University of Padova, Laboratory of Interdisciplinary Physics, Department of Physics and Astronomy "G. Galilei", Padova, Italy.

Physical Review Letters
|November 1, 2024
PubMed
Summary
This summary is machine-generated.

We introduce a new method to model ecological communities, revealing how fluctuating interactions (annealed disorder) promote species coexistence and biodiversity. This approach explains the prevalence of rare species in ecosystems.

More Related Videos

Automated Interactive Video Playback for Studies of Animal Communication
07:21

Automated Interactive Video Playback for Studies of Animal Communication

Published on: February 9, 2011

13.3K
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

920

Related Experiment Videos

Last Updated: Jun 8, 2025

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

18.7K
Automated Interactive Video Playback for Studies of Animal Communication
07:21

Automated Interactive Video Playback for Studies of Animal Communication

Published on: February 9, 2011

13.3K
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

920

Area of Science:

  • Ecology
  • Theoretical Ecology
  • Mathematical Biology

Background:

  • Ecological communities are complex systems where species interactions determine community structure.
  • Traditional models often assume static interaction strengths, overlooking temporal fluctuations.
  • Understanding species abundance dynamics is crucial for biodiversity conservation.

Purpose of the Study:

  • To analyze the dynamics of species abundances in ecological communities using the generalized Lotka-Volterra (GLV) model.
  • To incorporate temporal stochastic fluctuations in interaction strengths (annealed disorder) into ecological models.
  • To develop and apply a dynamical mean field theory (DMFT) for systems with colored noise interactions.

Main Methods:

  • Utilized the generalized Lotka-Volterra (GLV) model for ecological community dynamics.
  • Developed a dynamical mean field theory (DMFT) framework for colored noise interactions (annealed disorder).
  • Derived analytical predictions for species abundance distributions.

Main Results:

  • Demonstrated that annealed disorder acts as an effective environmental noise, creating a time-dependent environment for each species.
  • Analytical predictions for species abundance distribution closely matched empirical observations.
  • Identified that annealed disorder promotes species coexistence and a high abundance of rare species.

Conclusions:

  • Annealed disorder in interaction strengths is a key factor favoring species coexistence and supporting the insurance theory of biodiversity.
  • The developed DMFT framework provides novel methodologies for studying large ecological systems.
  • This research offers new insights into modeling and understanding ecosystem dynamics.