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

What are Populations and Communities?

What are Populations and Communities?

Conservation of Declining Populations

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 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.

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...

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic Models: Compartment Models in Individual and Population Analysis

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...

Habitat Fragmentation

Habitat Fragmentation

Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.

You might also read

Related Articles

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

Sort by

Same author

Alterations of Gut Microbiome and Serum Short-Chain Fatty Acids in Children With Enthesitis-Related Arthritis.

International journal of rheumatic diseases·2025

Same author

Stable isotopic profile of commercial tank milk in relation to grassland based feed proportions in dairy herd diets.

Scientific reports·2025

Same author

Hīkina te mānuka: Advancing Indigenous Leadership in Molecular Ecology.

Molecular ecology resources·2024

Same author

Reference genome for the endangered, genetically subdivided, northern tidewater goby, Eucyclogobius newberryi.

The Journal of heredity·2024

Same author

Risk factors for bronchopulmonary dysplasia infants with respiratory score greater than four: a multi-center, prospective, longitudinal cohort study in China.

Scientific reports·2023

Same author

The relative contributions of soft tissue mass components as risk or protective factors of non-alcoholic fatty liver disease in children.

European journal of clinical nutrition·2023

Search research articles

Related Experiment Video

Updated: Dec 5, 2025

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

Using environmental DNA and occupancy modelling to estimate rangewide metapopulation dynamics.

Chad M Martel¹, Michael Sutter¹, Robert M Dorazio²

¹Department of Fisheries Biology, Humboldt State University, Arcata, CA, USA.

Molecular Ecology

|October 16, 2020

Summary

Environmental DNA (eDNA) surveys combined with dynamic occupancy modeling effectively resolve rangewide metapopulation dynamics. This approach revealed a stable equilibrium for the tidewater goby, driven by colonization and extinction rates.

Keywords:

Eucyclogobius kristinae Eucyclogobius newberryi dynamic occupancy model environmental DNA metapopulation dynamics multiscale occupancy spatial occupancy tidewater goby

More Related Videos

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations

Published on: October 28, 2022

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Related Experiment Videos

Last Updated: Dec 5, 2025

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations

Published on: October 28, 2022

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Area of Science:

Ecology
Conservation Biology
Environmental DNA (eDNA)

Background:

Metapopulation dynamics are crucial for understanding species persistence, especially for endangered species.
Rangewide assessments are challenging due to logistical constraints and detection biases.
Emergent technologies offer new possibilities for ecological monitoring.

Purpose of the Study:

To demonstrate the combined power of eDNA surveys and dynamic, spatial multiscale occupancy modeling for resolving rangewide metapopulation dynamics.
To estimate extinction and colonization drivers for the endangered tidewater goby.
To assess the influence of spatial relationships on metapopulation dynamics.

Main Methods:

Utilized environmental DNA (eDNA) surveys across 190 sites over two years (2016-2017) to generate rangewide site occupancy histories.
Developed and applied a novel dynamic, spatial multiscale occupancy model accounting for non-detection bias.
Analyzed eDNA data from 813 water samples to estimate occupancy, extinction, and colonization probabilities.

Main Results:

Rangewide site occupancy for the tidewater goby remained stable between 2016 (0.52) and 2017 (0.51).
Extinction (0.106) and colonization (0.085) probabilities were nearly equal, suggesting a dynamic equilibrium.
Colonization probability increased with more occupied neighbors and decreased with greater distance between occupied sites.

Conclusions:

eDNA surveys provide efficient rangewide distribution snapshots.
Occupancy modeling paired with eDNA data can uncover metapopulation dynamics and their drivers.
The study highlights the utility of integrated eDNA and modeling approaches for endangered species conservation.