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

Predator-Prey Interactions02:39

Predator-Prey Interactions

16.6K
Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
16.6K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

203
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
203
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

101
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
101
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

70
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
70
Distribution and Dispersion00:54

Distribution and Dispersion

22.1K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
22.1K
Speciation Rates01:07

Speciation Rates

21.3K
Overview
21.3K

You might also read

Related Articles

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

Sort by
Same author

Numerical methods for quasi-stationary distributions.

Physical review. E·2026
Same author

Forecasting emergency department visits in the reference hospital of the Balearic Islands: The role of tourist and weather data.

PloS one·2026
Same author

Breaking coexistence: Zealotry vs nonlinear social impact.

Chaos (Woodbury, N.Y.)·2025
Same author

Analysis of a voter model with an evolving number of opinion states.

Physical review. E·2025
Same author

Efficient approximations of transcriptional bursting effects on the dynamics of a gene regulatory network.

Journal of the Royal Society, Interface·2025
Same author

Characterizing the dynamics of unlabeled temporal networks.

Chaos (Woodbury, N.Y.)·2025
Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
See all related articles

Related Experiment Video

Updated: Aug 6, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K

Generalized Lotka-Volterra model with hierarchical interactions.

Lyle Poley1, Joseph W Baron2, Tobias Galla1,2

  • 1Department of Physics and Astronomy, School of Natural Science, The University of Manchester, Manchester M13 9PL, United Kingdom.

Physical Review. E
|March 18, 2023
PubMed
Summary
This summary is machine-generated.

Introducing hierarchical interactions into ecological models reveals that while a strong hierarchy stabilizes ecosystems, it reduces species diversity and abundance. Increased interaction variance destabilizes communities.

More Related Videos

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

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

18.9K
Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

7.5K

Related Experiment Videos

Last Updated: Aug 6, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K
Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

18.9K
Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

7.5K

Area of Science:

  • Ecology
  • Theoretical Ecology
  • Mathematical Biology

Background:

  • Complex ecosystems often use random interaction coefficients, assuming species equivalence.
  • This study challenges the assumption of statistical equivalence in ecological interactions.

Purpose of the Study:

  • To investigate the impact of hierarchical interspecies interactions on ecosystem stability and structure.
  • To analyze how hierarchy affects species diversity, abundance, and survival probability.

Main Methods:

  • Incorporation of hierarchical interactions into a generalized Lotka-Volterra dynamical system.
  • Application of dynamic mean-field theory to analyze community dynamics.

Main Results:

  • A strong hierarchical structure was found to be stabilizing for ecosystems.
  • However, hierarchy reduced the number of surviving species and their overall abundances.
  • Increased heterogeneity in interaction coefficient variances across hierarchical levels proved destabilizing.

Conclusions:

  • Species' position within a hierarchy significantly influences their abundance and survival.
  • Hierarchical interactions offer a more realistic framework for understanding complex ecological communities.