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.
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...
Scaling01:26

Scaling

In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Genetic Drift03:33

Genetic Drift

Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...

You might also read

Related Articles

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

Sort by
Same author

Ergodicity breaking and restoration in models of heat transport with microscopic reversibility.

Physical review. E·2025
Same author

Nonanomalous heat transport in a one-dimensional composite chain.

Physical review. E·2023
Same author

Erratum: Description of a stochastic system by a nonadapted stochastic process [Phys. Rev. E 104, 014139 (2021)].

Physical review. E·2021
Same author

Description of a stochastic system by a nonadapted stochastic process.

Physical review. E·2021
Same author

SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models.

Scientific reports·2021
Same author

Limit regimes of ice formation in turbulent supercooled water.

Physical review. E·2018

Related Experiment Video

Updated: May 16, 2026

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
06:00

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila

Published on: October 1, 2011

Forcing anomalous scaling on demographic fluctuations.

Piero Olla1

  • 1ISAC-CNR and INFN, Sez Cagliari, I-09042 Monserrato, Italy.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 11, 2012
PubMed
Summary

Anomalous diffusion in populations can lead to demographic fluctuations with anomalous scaling properties. This study explores conditions for this phenomenon using Gaussian diffusion and Lévy flight models.

Area of Science:

  • Statistical physics
  • Population dynamics
  • Mathematical modeling

Background:

  • Anomalous diffusion describes particle or individual movement deviating from standard Brownian motion.
  • Demographic fluctuations are key to understanding population stability and evolution.
  • Scaling properties reveal universal behaviors in complex systems.

Purpose of the Study:

  • To investigate the conditions linking anomalous diffusion to anomalous scaling in demographic fluctuations.
  • To provide theoretical examples illustrating this connection.
  • To bridge concepts from diffusion processes and population dynamics.

Main Methods:

  • Theoretical analysis of population models incorporating anomalous diffusion.
  • Mathematical derivation of scaling laws for demographic fluctuations.

More Related Videos

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model
08:03

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Published on: November 4, 2025

Related Experiment Videos

Last Updated: May 16, 2026

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
06:00

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila

Published on: October 1, 2011

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model
08:03

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Published on: November 4, 2025

  • Case studies using Gaussian diffusion and Lévy flight models.
  • Main Results:

    • Conditions were identified where anomalous diffusion directly causes anomalously scaling demographic fluctuations.
    • The Gaussian diffusion case demonstrated specific scaling behaviors.
    • The Lévy flight case revealed distinct scaling patterns due to non-local jumps.

    Conclusions:

    • Anomalous diffusion is a significant factor that can induce anomalous scaling in population demographic fluctuations.
    • The type of anomalous diffusion (e.g., Gaussian vs. Lévy) influences the specific scaling characteristics observed.
    • This framework offers insights into the dynamics of populations with complex migration patterns.