Jove
Visualize
Contact Us

Related Concept Videos

Ecological Niches02:02

Ecological Niches

24.9K
All organisms have a position within an ecosystem. The complete set of living and nonliving factors—including food resources, climate, and terrain—that define the position of a given organism are collectively referred to as the organism’s ecological niche.
24.9K
Types of Selection01:46

Types of Selection

42.3K
Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
42.3K
Frequency-dependent Selection01:21

Frequency-dependent Selection

22.3K
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.
22.3K
What is Natural Selection?01:32

What is Natural Selection?

120.3K
Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
120.3K
Conservation of Declining Populations02:07

Conservation of Declining Populations

9.8K
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.
9.8K
Limits to Natural Selection01:38

Limits to Natural Selection

32.7K
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.
32.7K

You might also read

Related Articles

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

Sort by
Same author

Russian forests show strong potential for young forest growth.

Communications earth & environment·2025
Same author

Toward a Monte Carlo approach to selecting climate variables in MaxEnt.

PloS one·2021
Same author

Airway smooth muscle hypertrophy and hyperplasia in asthma.

American journal of respiratory and critical care medicine·2012
See all related articles
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 Experiment Video

Updated: Oct 5, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.5K

Automatic variable selection in ecological niche modeling: A case study using Cassin's Sparrow (Peucaea cassinii).

John L Schnase1, Mark L Carroll1

  • 1Office of Computational and Information Sciences and Technology, NASA Goddard Space Flight Center, Greenbelt, Maryland, United States of America.

Plos One
|January 21, 2022
PubMed
Summary

MERRA/Max is a new feature selection tool that simplifies using global climate model data for ecological niche modeling. It efficiently identifies key environmental predictors, improving species distribution predictions.

More Related Videos

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.4K
Exploring Life History Choices: Using Temperature and Substrate Type as Interacting Factors for Blowfly Larval and Female Preferences
12:14

Exploring Life History Choices: Using Temperature and Substrate Type as Interacting Factors for Blowfly Larval and Female Preferences

Published on: November 17, 2023

1.5K

Related Experiment Videos

Last Updated: Oct 5, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.5K
Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.4K
Exploring Life History Choices: Using Temperature and Substrate Type as Interacting Factors for Blowfly Larval and Female Preferences
12:14

Exploring Life History Choices: Using Temperature and Substrate Type as Interacting Factors for Blowfly Larval and Female Preferences

Published on: November 17, 2023

1.5K

Area of Science:

  • Ecological modeling
  • Climate science
  • Computational biology

Background:

  • Ecological niche modeling (ENM) often struggles to directly incorporate complex global climate model (GCM) outputs.
  • Feature selection is crucial for reducing dimensionality and identifying relevant environmental variables for ENM.

Purpose of the Study:

  • To introduce MERRA/Max, a novel feature selection approach for dimensionality reduction in ENM.
  • To enable the direct use of GCM outputs in ecological niche modeling.
  • To streamline the process of identifying key environmental predictors for species distribution modeling.

Main Methods:

  • MERRA/Max employs a Monte Carlo optimization with multiple MaxEnt runs on selected variables.
  • The algorithm operates on filesystem-stored data, ensuring scalability for large datasets.
  • Software components are designed for parallel processing in cloud environments for high performance.

Main Results:

  • MERRA/Max successfully identified key bioclimatic predictors for Cassin's Sparrow (Peucaea cassinii) from standard datasets.
  • It also selected ecologically plausible predictors from a comprehensive set of 86 variables derived from NASA's Modern-Era Retrospective Analysis for Research and Applications Version 2 (MERRA-2).
  • The method demonstrated efficiency and scalability in selecting relevant environmental variables.

Conclusions:

  • MERRA/Max offers a technological solution to expand the use of GCM outputs in ENM.
  • It facilitates exploratory analysis of climate data and streamlines the bioclimatic modeling process.
  • The approach has the potential to enable automated, accessible, and low-cost bioclimatic modeling services.