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

Population Growth00:57

Population Growth

Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.However, realistic environmental conditions limit the number of...
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Conservation of Small Populations02:04

Conservation of Small Populations

Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less likely to...
Nonconscious Mimicry01:13

Nonconscious Mimicry

Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
Relationship Formation02:12

Relationship Formation

What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
Modeling with Differential Equations01:25

Modeling with Differential Equations

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...

You might also read

Related Articles

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

Sort by
Same author

A Systems Perspective: How Social-Ecological Networks Can Improve Our Understanding and Management of Biological Invasions.

Bioscience·2026
Same author

Capillary Blood Docosahexaenoic Acid Levels Predict Electrocardiographic Markers in a Sample Population of Premenopausal Women.

Journal of clinical medicine·2024
Same author

Host Resistance and Behavior Determine Invasion Dynamics of a Detrimental Aquatic Disease.

Ecology and evolution·2024
Same author

Humidity modifies species-specific and age-dependent heat stress effects in an insect host-parasitoid interaction.

Ecology and evolution·2024
Same author

Crayfish population size under different routes of pathogen transmission.

Ecology and evolution·2023
Same author

The effect of dilution on eco-evolutionary dynamics of experimental microbial communities.

Ecology and evolution·2021

Related Experiment Video

Updated: Jul 9, 2026

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

Population synchrony in small-world networks.

Esa Ranta1, Mike S Fowler, Veijo Kaitala

  • 1Integrative Ecology Unit, Department of Biological and Environmental Sciences, University of Helsinki, PO Box 65 (Viikinkaari 1), 00014 Helsinki, Finland.

Proceedings. Biological Sciences
|December 7, 2007
PubMed
Summary
This summary is machine-generated.

Small-world dispersal networks reduce population synchrony. This study explores how network structure impacts ecological population fluctuations, finding reduced synchrony with increased dispersal and small-world connections.

More Related Videos

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

Related Experiment Videos

Last Updated: Jul 9, 2026

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

Area of Science:

  • Ecology
  • Network Theory
  • Population Dynamics

Background:

  • Small-world networks, characterized by random connections, are crucial in various systems and can enhance synchrony.
  • Spatial synchrony in population fluctuations is observed in many species, with regular dispersal proposed as a key driver.
  • Understanding dispersal patterns is vital for explaining large-scale ecological synchrony.

Purpose of the Study:

  • To investigate the impact of small-world dispersal on spatial synchrony in population dynamics.
  • To explore how varying dispersal rates and network structures influence population synchrony.
  • To analyze the ecological implications of small-world dispersal in the context of population fluctuations.

Main Methods:

  • Modeling spatially structured populations with different network topographies (regular, small-world, random).
  • Implementing density-dependent renewal within population patches.
  • Analyzing the effects of dispersal rate, small-world probability, and correlated noise on population synchrony.

Main Results:

  • Small-world dispersal kernels significantly reduce population synchrony.
  • Synchrony decreases with increasing dispersal rate and small-world connection probability.
  • Globally correlated noise also leads to a reduction in population synchrony.

Conclusions:

  • Small-world dispersal structures can decrease spatial synchrony in population dynamics.
  • The findings challenge the notion that regular dispersal is the sole driver of large-scale population synchrony.
  • Ecological implications suggest that network architecture plays a critical role in population stability and fluctuation patterns.