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

Modeling with Differential Equations01:25

Modeling with Differential Equations

4
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
4
Damped Oscillations01:07

Damped Oscillations

6.8K
In the real world, oscillations seldom follow true simple harmonic motion. A system that continues its motion indefinitely without losing its amplitude is termed undamped. However, friction of some sort usually dampens the motion, so it fades away or needs more force to continue. For example, a guitar string stops oscillating a few seconds after being plucked. Similarly, one must continually push a swing to keep a child swinging on a playground.
Although friction and other non-conservative...
6.8K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

244
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...
244
Ecological Disturbance02:26

Ecological Disturbance

20.7K
An ecological disturbance is a temporary disruption in the environment resulting from abiotic, biotic, or anthropogenic factors, causing a pronounced change in an ecosystem. The impact of an ecological disturbance, which can depend on its intensity, frequency, and spatial distribution, plays a significant role in shaping the species diversity within the ecosystem.
20.7K
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

358
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
358
Types of Damping01:20

Types of Damping

7.5K
If the amount of damping in a system is gradually increased, the period and frequency start to become affected because damping opposes, and hence slows, the back and forth motion (the net force is smaller in both directions). If there is a very large amount of damping, the system does not even oscillate; instead, it slowly moves toward equilibrium. In brief, an overdamped system moves slowly towards equilibrium, whereas an underdamped system moves quickly to equilibrium but will oscillate about...
7.5K

You might also read

Related Articles

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

Sort by
Same author

Neutral Additivity Dominates the Outcome of Soil Microbial Community Coalescence.

Molecular ecology·2026
Same author

Phenological stage-dependent hierarchical responses mediate extreme drought impacts on carbon fluxes of a semiarid grassland.

The New phytologist·2025
Same author

Water availability and hydrological connectivity mediate the responses of alpine soil prokaryotes to temperature changes at the watershed scale.

Journal of environmental management·2025
Same author

A framework for quantifying state transitions in complex ecosystems using energy flow networks.

Science bulletin·2025
Same author

Nitrogen availability in soil controls uptake of different nitrogen forms by plants.

The New phytologist·2024
Same author

Mycorrhizal Symbiosis Increases Plant Phylogenetic Diversity and Regulates Community Assembly in Grasslands.

Ecology letters·2024
Same journal

Deep Learning Network-Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Autonomous High-Throughput Characterization of Liquid-Liquid Phase Behavior.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Laser Preset of MnO<sub>x</sub> Layer on High-Entropy Alloy Surface for Ampere-Level Ultra-Stable OER Performance.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

PDGFRα<sup>+</sup>/Integrin α2<sup>+</sup> Fibroblasts Orchestrate Tumor Budding in Oral Squamous Cell Carcinoma via Mechano-Metabolic Symbiosis: E-Cadherin/Integrin α2β1 Adhesion and Mitochondrial Transfer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Synergistic Ni Single Atoms/Nanoparticles on CeO<sub>2</sub> for High-Performance and Durable SOFC Hydrogen Electrodes.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

A Review of Failure Modes and Safety Strategies of Lithium-Ion Batteries from Materials to Systems.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
See all related articles

Related Experiment Video

Updated: Jan 15, 2026

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

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

19.3K

Generalized Mechanism Model for Ecosystem Hysteresis.

Yanbin Hao1,2,3, Xin Wang4, Jie Liu5

  • 1Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|January 14, 2026
PubMed
Summary
This summary is machine-generated.

Ecosystem hysteresis, or catastrophic shifts, can now be quantified. A new framework models feedback loops to predict and manage ecosystem state transitions, aiding restoration efforts.

Keywords:
alternative stable stateecosystem hysteresismodelpositive‐negative feedbackregime shifts

More Related Videos

A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters
06:02

A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters

Published on: December 16, 2022

2.3K
Linking Predation Risk, Herbivore Physiological Stress and Microbial Decomposition of Plant Litter
10:20

Linking Predation Risk, Herbivore Physiological Stress and Microbial Decomposition of Plant Litter

Published on: March 12, 2013

14.0K

Related Experiment Videos

Last Updated: Jan 15, 2026

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

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

19.3K
A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters
06:02

A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters

Published on: December 16, 2022

2.3K
Linking Predation Risk, Herbivore Physiological Stress and Microbial Decomposition of Plant Litter
10:20

Linking Predation Risk, Herbivore Physiological Stress and Microbial Decomposition of Plant Litter

Published on: March 12, 2013

14.0K

Area of Science:

  • Ecology
  • Ecological Dynamics
  • Systems Ecology

Background:

  • Ecosystem hysteresis describes catastrophic shifts in response to disturbances, crucial for ecological prediction and restoration.
  • Current understanding of hysteresis lacks quantitative methods to assess the positive-negative feedback loops driving these transitions.
  • Predicting and managing ecosystem resilience requires a deeper insight into the mechanisms of hysteresis.

Purpose of the Study:

  • To introduce a quantitative framework for assessing ecosystem states and feedback loops to understand hysteresis.
  • To develop a generalized mechanism model for estimating feedback strengths and the irreversible potential of hysteresis.
  • To identify critical indicators for hysteresis occurrence and predict ecosystem state transitions.

Main Methods:

  • Developed a novel quantitative framework diverging from phenomenological theories.
  • Proposed a generalized mechanism model to estimate positive-negative feedback strengths.
  • Defined irreversible potential to quantify hysteresis intensity and identified a critical constant for its occurrence.

Main Results:

  • The framework effectively quantifies ecosystem hysteresis and its intensity.
  • The generalized model accurately captures forward and backward hysteresis trajectories across ecological scales.
  • Unidirectional data can be used to predict the direction of ecosystem state transitions.

Conclusions:

  • A universal quantitative framework for predicting and mitigating catastrophic ecosystem shifts has been established.
  • The model provides a mechanism to understand and manage the feedback dynamics underlying ecosystem hysteresis.
  • This approach enhances our ability to predict and restore ecosystem resilience to disturbances.