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

28.8K
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.
28.8K
Conservation of Small Populations02:04

Conservation of Small Populations

17.5K
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...
17.5K
What is Population Genetics?01:25

What is Population Genetics?

65.0K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
65.0K
What are Populations and Communities?00:30

What are Populations and Communities?

38.1K
Overview
38.1K
Structural Protein Function01:56

Structural Protein Function

30.1K
Structural proteins are a category of proteins responsible for functions ranging from cell shape and movement to providing support to major structures such as bones, cartilage, hair, and muscles. This group includes proteins such as collagen, actin, myosin, and keratin.
Collagen, the most abundant protein in mammals, is found throughout the body. In connective tissue, such as skin, ligaments, and tendons, it provides tensile strength and elasticity.  In bones and teeth, it mineralizes to...
30.1K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

285
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...
285

You might also read

Related Articles

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

Sort by
Same author

Twenty years (2000-2020) of butterfly monitoring data across the contiguous United States.

Scientific data·2025
Same author

How scientists can make the case for international cooperation in an age of diplomatic retrenchment.

Conservation biology : the journal of the Society for Conservation Biology·2025
Same author

Wild canids and felids differ in their reliance on reused travel routeways.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Understanding and Predicting Population Response to Anthropogenic Disturbance: Current Approaches and Novel Opportunities.

Ecology letters·2025
Same author

Three decades of declines restructure butterfly communities in the Midwestern United States.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Optimal conservation of migratory monarch butterflies requires immediate international coordination.

Current biology : CB·2025
Same journal

High Early Embryo Mortality and Low Hatching Success Observed in Aldabra Giant Tortoise Populations.

Ecology and evolution·2026
Same journal

Seasonal Differences in Migration Routes and Stopover Use of Greater Sand Plovers Between Mongolia and the Beibu Gulf Revealed by GPS Tracking.

Ecology and evolution·2026
Same journal

Shrub Encroachment Rewires Microbial Networks to Suppress Soil Organic Carbon Mineralization in Subalpine Meadows.

Ecology and evolution·2026
Same journal

Toward Precision Biodiversity Detection: An Edge-Deployable Framework for Mitigating Data Redundancy.

Ecology and evolution·2026
Same journal

The Plasticity of the Antioxidant Defence System of Coastal Zooplankton Communities.

Ecology and evolution·2026
Same journal

A Tale of Tail Loss: Fine-Scale Landscape Composition Predicts Caudal Autotomy Along an Urban Gradient in Two Congeneric Lizards.

Ecology and evolution·2026
See all related articles

Related Experiment Video

Updated: Feb 15, 2026

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

1.4K

A general modeling framework for describing spatially structured population dynamics.

Christine Sample1, John M Fryxell2, Joanna A Bieri3

  • 1Department of Mathematics Emmanuel College Boston MA USA.

Ecology and Evolution
|January 12, 2018
PubMed
Summary
This summary is machine-generated.

We developed a novel network-based framework to unify the study of spatially structured populations. This flexible model captures diverse movement patterns, aiding ecological understanding and conservation efforts.

Keywords:
connectivitydispersalmetapopulationsmigrationmodelsnetworks

More Related Videos

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
07:40

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Published on: October 29, 2016

11.6K
Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.6K

Related Experiment Videos

Last Updated: Feb 15, 2026

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

1.4K
Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
07:40

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Published on: October 29, 2016

11.6K
Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.6K

Area of Science:

  • Ecology
  • Population Dynamics
  • Network Science

Background:

  • Population abundance and distribution are shaped by spatiotemporal movement.
  • Existing models for structured populations are often limited to specific spatial structures and lack a unifying framework.

Purpose of the Study:

  • To develop a unified, flexible mathematical framework for modeling spatially structured populations.
  • To integrate space, time, and movement under a single network-based approach.

Main Methods:

  • A network modeling approach representing spatial structure with weighted, directed networks.
  • Nodes and edges possess time-varying attributes.
  • Population dynamics are modeled using discrete time steps.

Main Results:

  • The framework accommodates diverse spatiotemporal processes, including metapopulations, various migratory patterns, and nomadism.
  • Common ecological principles underlying disparate movement strategies are identified.
  • The model was applied to four diverse organisms, demonstrating its broad applicability.

Conclusions:

  • This unified network-based framework offers a flexible approach to studying population dynamics across various species and movement strategies.
  • It provides theoretical insights and practical applications for population management and conservation.
  • Facilitates comparative analyses by focusing on general principles rather than model-specific details.