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

Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
What are Populations and Communities?00:30

What are Populations and Communities?

38.2K
Overview
38.2K
Relationship Formation02:12

Relationship Formation

46.3K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
46.3K
Impact of Groups on Groups01:19

Impact of Groups on Groups

286
Social psychologists analyze how groups influence one another, shaping social structures and interactions through both cooperation and competition. These dynamics manifest in various ways, ranging from economic partnerships to intergroup conflicts that shape societal structures and perceptions.Cooperation and Competition in Intergroup RelationsIntergroup relationships vary across contexts, sometimes fostering cooperation and mutual benefit while at other times leading to conflict and...
286
Symbiosis00:58

Symbiosis

37.8K
Symbiotic relationships are long-term, close interactions between individuals of different species that affect the distribution and abundance of those species. When a relationship is beneficial to both species, this is called mutualism. When the relationship is beneficial to one species but neither beneficial nor harmful to the other species, this is called commensalism. When one organism is harmed to benefit another, the relationship is known as parasitism. These types of relationships often...
37.8K
Factors Influencing Attraction III: Similarity01:23

Factors Influencing Attraction III: Similarity

848
The similarity hypothesis suggests that individuals are more likely to form relationships with others who share similar attitudes, beliefs, values, and interests. This concept has been widely studied in social psychology, demonstrating that perceived similarity fosters interpersonal attraction. In an experiment supporting this hypothesis, participants were presented with fabricated information indicating that strangers held attitudes similar to their own. The results showed that participants...
848

You might also read

Related Articles

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

Sort by
Same author

Trait-mediated interactions drive local diversity.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Facilitation Thinking for Coexistence Theory.

Ecology letters·2025
Same author

A Continuum From Positive to Negative Interactions Drives Plant Species' Performance in a Diverse Community.

Ecology letters·2025
Same author

Birds optimize fruit size consumed near their geographic range limits.

Science (New York, N.Y.)·2024
Same author

Plant interaction networks reveal the limits of our understanding of diversity maintenance.

Ecology letters·2024
Same author

Patterns of frequency and density dependence are highly variable in diverse annual flowering plant communities.

Ecology·2023
Same journal

Anolis shrevei.

Nature ecology & evolution·2026
Same journal

Comparative primate analysis shows that humans are not unique in having a tight cephalopelvic fit at birth.

Nature ecology & evolution·2026
Same journal

Antiviral immunity regulates cnidarian viriomes.

Nature ecology & evolution·2026
Same journal

An ancient anthozoan protein reveals an alternative evolutionary path of antiviral signalling.

Nature ecology & evolution·2026
Same journal

A global research coordination programme is urgently needed for biodiversity.

Nature ecology & evolution·2026
Same journal

Avoid overdependence on carbon markets in conservation finance.

Nature ecology & evolution·2026
See all related articles

Related Experiment Video

Updated: Feb 24, 2026

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

19.5K

Higher-order interactions capture unexplained complexity in diverse communities.

Margaret M Mayfield1, Daniel B Stouffer2

  • 1The University of Queensland, School of Biological Sciences, Brisbane, Queensland 4072, Australia.

Nature Ecology & Evolution
|August 17, 2017
PubMed
Summary
This summary is machine-generated.

Complex ecological interactions, or higher-order interactions, significantly impact species diversity in natural communities. Accounting for these non-additive effects improves models of community diversity and species performance.

More Related Videos

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

932
Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
05:59

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

Published on: October 6, 2023

3.4K

Related Experiment Videos

Last Updated: Feb 24, 2026

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

19.5K
Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

932
Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
05:59

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

Published on: October 6, 2023

3.4K

Area of Science:

  • Ecology
  • Community Ecology
  • Ecological Modeling

Background:

  • Natural communities are shaped by complex ecological processes.
  • Current ecological models often simplify species interactions, assuming direct, additive competition and neglecting higher-order interactions.
  • This simplification limits the accuracy of models explaining natural diversity patterns.

Purpose of the Study:

  • To develop a simple mathematical framework for incorporating biologically meaningful complexity, specifically non-additive higher-order interactions, into diversity models.
  • To provide empirical evidence for the influence of higher-order interactions on species performance in natural plant communities.

Main Methods:

  • Developed a mathematically simple framework to include non-additive higher-order interactions in ecological models.
  • Empirically assessed the impact of these interactions on species performance in natural plant communities, using seed production as a proxy for fitness.

Main Results:

  • Higher-order interactions were found to strongly influence species' performance in natural plant communities.
  • Models incorporating higher-order interactions explained significantly more variation in seed production compared to models without them.

Conclusions:

  • The study highlights the critical role of non-additive higher-order interactions in maintaining natural community diversity.
  • The findings suggest a need to shift ecological modeling approaches to better incorporate these complex interactions for accurate diversity studies.