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

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.

Limits to Natural Selection

Limits to Natural Selection

Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.

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...

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.

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.

Frequency-dependent Selection

Frequency-dependent Selection

When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.

You might also read

Related Articles

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

Sort by

Same author

Mammals tolerate harmless human presence: Lessons from COVID-19 lockdown on Barro Colorado Island, Panamá.

Scientific reports·2026

Same author

Simultaneous Automated Insect Monitoring Across a Remote Tropical Elevation Gradient With Mothbox.

Integrative and comparative biology·2026

Same author

Initial tree census for the Paint Rock Forest Dynamics Plot, Alabama, USA.

Ecology·2026

Same author

Large-Scale Forest Restoration Accompanied by Biodiversity Recovery in Costa Rica's Redistributive Payment for Ecosystem Service Program.

Global change biology·2026

Same author

Non-Native Plants Alter Bird-Plant Frugivory Network Structure in a Human-Modified Tropical Landscape.

Ecology and evolution·2025

Same author

Integrating belowground recovery into tropical forest restoration design and monitoring.

Bioscience·2025

Search research articles

Related Experiment Video

Updated: Dec 24, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

Demographic trade-offs predict tropical forest dynamics.

Nadja Rüger^1,2,3, Richard Condit^4,5, Daisy H Dent^3,6

¹German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany. nadja.rueger@idiv.de.

Science (New York, N.Y.)

|April 11, 2020

Summary

Predicting tropical forest changes requires advanced modeling. Researchers simplified hundreds of tree species into five functional groups, accurately forecasting forest dynamics and impacts from human activities.

More Related Videos

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Published on: October 25, 2024

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Related Experiment Videos

Last Updated: Dec 24, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Published on: October 25, 2024

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Area of Science:

Ecology
Forestry
Computational Biology

Background:

Accurate prediction of tropical forest dynamics is crucial for sustainable management.
Existing models struggle to utilize the vast amount of available tropical tree life history data.
Predictive capacity is limited by modeling approaches rather than species data availability.

Purpose of the Study:

To develop an efficient and accurate method for predicting the dynamics of diverse tropical forests.
To test if a simplified functional group approach can represent complex tropical tree diversity.
To improve the prediction of anthropogenic impacts on tropical forest ecosystems.

Main Methods:

Utilized a demographic forest model to simulate forest succession.
Represented hundreds of tropical tree species using only five functional groups.
Incorporated two key trade-offs: growth-survival and stature-recruitment.

Main Results:

The model accurately predicted basal area and compositional changes during neotropical forest succession.
A simplified representation of species diversity using functional groups proved effective.
The data-driven framework enhances predictions of human impacts on forests.

Conclusions:

Simplifying tropical tree diversity into functional groups is a viable strategy for accurate forest modeling.
This approach overcomes limitations of traditional models in handling high species diversity.
The framework offers a powerful tool for assessing anthropogenic impacts and informing conservation strategies.