Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Distributions to Estimate Population Parameter

Distributions to Estimate Population Parameter

The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...

Atomic Nuclei: Nuclear Spin State Population Distribution

Atomic Nuclei: Nuclear Spin State Population Distribution

Near absolute zero temperatures, in the presence of a magnetic field, the majority of nuclei prefer the lower energy spin-up state to the higher energy spin-down state. As temperatures increase, the energy from thermal collisions distributes the spins more equally between the two states. The Boltzmann distribution equation gives the ratio of the number of spins predicted in the spin −½ (N−) and spin +½ (N+) states.

Conservation of Small Populations

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...

What is Population Genetics?

What is Population Genetics?

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.

Population Growth

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.

The Extracellular Matrix

The Extracellular Matrix

You might also read

Related Articles

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

Sort by

Same author

Temperature-Dependent Pupation Depth in the Oriental Fruit Fly <i>Bactrocera dorsalis</i> and Its Implications for Biological Control.

Insects·2024

Same author

Searching of Underground Host Patches by a Pupal Parasitoid.

Environmental entomology·2022

Same author

State-dependent mortality can enhance behavioral unpredictability.

BMC ecology·2020

Same author

Intraindividual variability in behavior shapes fitness landscapes.

Ecology and evolution·2020

Same author

Census timing alters stage duration distributions in matrix population models.

Ecology and evolution·2019

Same author

Density-dependent distribution of parasitism risk among underground hosts.

Bulletin of entomological research·2018

Search research articles

Related Experiment Video

Updated: Feb 4, 2026

Culture and Assay of Large-Scale Mixed-Stage Caenorhabditis elegans Populations

Culture and Assay of Large-Scale Mixed-Stage Caenorhabditis elegans Populations

Published on: May 5, 2021

Stage duration distributions in matrix population models.

Toshinori Okuyama¹

¹Department of Entomology National Taiwan University Taipei Taiwan.

Ecology and Evolution

|September 26, 2018

Summary

This summary is machine-generated.

This study introduces a new method to improve matrix population models by better representing stage duration distributions. The approach uses a mixture of negative binomial distributions, enhancing population dynamics predictions.

Keywords:

individual variation maximum likelihood mixture distributions stage duration stage‐structured models

More Related Videos

Accumulation and Distribution of Fluorescent Microplastics in the Early Life Stages of Zebrafish

Accumulation and Distribution of Fluorescent Microplastics in the Early Life Stages of Zebrafish

Published on: July 4, 2021

Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology

Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology

Published on: June 10, 2014

Related Experiment Videos

Last Updated: Feb 4, 2026

Culture and Assay of Large-Scale Mixed-Stage Caenorhabditis elegans Populations

Culture and Assay of Large-Scale Mixed-Stage Caenorhabditis elegans Populations

Published on: May 5, 2021

Accumulation and Distribution of Fluorescent Microplastics in the Early Life Stages of Zebrafish

Accumulation and Distribution of Fluorescent Microplastics in the Early Life Stages of Zebrafish

Published on: July 4, 2021

Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology

Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology

Published on: June 10, 2014

Area of Science:

Ecology
Population Dynamics
Mathematical Biology

Background:

Matrix population models are standard for stage-structured populations.
Current models lack flexibility in describing stage duration distributions.

Purpose of the Study:

To develop a flexible method for incorporating various stage duration distributions into matrix population models.
To evaluate the performance of this new method against existing approaches.

Main Methods:

A mixture of two negative binomial distributions was used to approximate target stage duration distributions.
Maximum likelihood estimation parameterized the distributions.
Individual-based models simulated true population growth rates for comparison.

Main Results:

The proposed method generally approximates target distributions well.
Performance was evaluated using gamma, lognormal, and zero-truncated Poisson distributions for juvenile duration.
The new method outperformed an existing method but showed some bias under specific conditions.

Conclusions:

The developed method offers improved flexibility for matrix population models.
It provides a more accurate approximation of population dynamics compared to existing methods.
Further research can refine parameter estimation and model development for specific ecological contexts.