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

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...
Conservation of Declining Populations02:07

Conservation of Declining Populations

Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
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...
Speciation Rates01:07

Speciation Rates

Speciation can proceed at markedly different rates, and evolutionary biologists commonly describe these differences through the models of gradualism and punctuated equilibrium. Both patterns explain how new species arise, but they differ in the tempo and continuity of evolutionary change. In both cases, evolutionary change arises from heritable variation within populations, with natural selection often shaping traits that improve survival and reproduction under specific environmental conditions.
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...
What are Populations and Communities?00:30

What are Populations and Communities?

Populations are groups of individuals of the same species that inhabit a shared environment. Communities include multiple co-existing, interacting populations of different species. Metapopulations span multiple populations of the same species that occupy different areas. Metapopulations interact through immigration and emigration, providing genetic diversity that lends resilience to harsh environments. Population size and density can be estimated using quadrat and mark and recapture...

You might also read

Related Articles

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

Sort by
Same author

Vulnerability of alpine butterfly eggs to early winter warming.

Current research in insect science·2026
Same author

Monarch butterflies (Danaus plexippus) only use magnetic cues for migratory directionality with orientation re-calibrated by coldness.

PloS one·2025
Same author

Extremes of snow and temperature affect patterns of genetic diversity and differentiation in the alpine butterfly Parnassius smintheus.

Molecular ecology·2024
Same author

Immigration allows population persistence and maintains genetic diversity despite an attempted experimental extinction.

Royal Society open science·2024
Same author

The cost of movement: assessing energy expenditure in a long-distant ectothermic migrant under climate change.

The Journal of experimental biology·2023
Same author

Reduced male fertility of an Antarctic mite following extreme heat stress could prompt localized population declines.

Cell stress & chaperones·2023
Same journal

Effects of highly pathogenic avian influenza on the behaviour and survival of a colonial breeding seabird.

Proceedings. Biological sciences·2026
Same journal

A special feature highlighting impactful science from countries and regions underrepresented in Proceedings of the Royal Society, Series B.

Proceedings. Biological sciences·2026
Same journal

Religious rituals in the United Kingdom and Brazil are associated with increased social bonding and pain threshold.

Proceedings. Biological sciences·2026
Same journal

Limited evidence that reputation-based partner choice facilitates information sharing in humans.

Proceedings. Biological sciences·2026
Same journal

Phylogenomics resolves the century-old 'Zoraptera problem': Zoraptera as the earliest diverging lineage of Polyneoptera.

Proceedings. Biological sciences·2026
Same journal

Paternal dietary macronutrients affect the seminal vesicle fluid proteome and fetal development: a geometric framework for nutrition study in mice.

Proceedings. Biological sciences·2026
See all related articles

Related Experiment Video

Updated: Jun 19, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

Local extinction synchronizes population dynamics in spatial networks.

Stephen F Matter1, Jens Roland

  • 1Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 45230, USA. mattersf@uc.edu

Proceedings. Biological Sciences
|November 6, 2009
PubMed
Summary
This summary is machine-generated.

Local population extinction can increase synchrony, contrary to predictions. This occurs when populations have different carrying capacities, potentially creating a feedback loop that elevates extinction risk in connected networks.

More Related Videos

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

Resurrection of Dormant Daphnia magna: Protocol and Applications
07:37

Resurrection of Dormant Daphnia magna: Protocol and Applications

Published on: January 19, 2018

Related Experiment Videos

Last Updated: Jun 19, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

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

Resurrection of Dormant Daphnia magna: Protocol and Applications
07:37

Resurrection of Dormant Daphnia magna: Protocol and Applications

Published on: January 19, 2018

Area of Science:

  • Ecology
  • Population Dynamics
  • Conservation Biology

Background:

  • Spatial population theory suggests reduced dispersal leads to decreased population synchrony.
  • Local population extinction is expected to decrease synchrony due to reduced immigration.
  • The impact of local extinction on population synchrony requires empirical investigation.

Purpose of the Study:

  • To test the hypothesis that local population extinction decreases synchrony.
  • To investigate the mechanisms driving changes in population synchrony following extinction.
  • To assess the implications of altered synchrony for extinction risk in population networks.

Main Methods:

  • Conducted a large-scale field experiment involving the removal of butterfly subpopulations.
  • Utilized simulation modeling of the experimental system and general population models.
  • Analyzed changes in immigration and synchrony in remaining connected populations.

Main Results:

  • Experimental removal of subpopulations decreased immigration to connected populations.
  • Synchrony significantly increased in populations experiencing reduced immigration during removal.
  • Simulations and general models confirmed that extinction can increase synchrony, especially when carrying capacities differ.

Conclusions:

  • Local extinction can increase population synchrony, challenging existing spatial theory.
  • This synchrony increase is driven by the relative number of immigrants to carrying capacity, not just migration bias.
  • Increased synchrony following extinction can create a positive feedback loop, elevating extinction risk for interconnected populations.