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 Experiment Videos

Body size in ecological networks.

Guy Woodward1, Bo Ebenman, Mark Emmerson

  • 1School of Biological Sciences, Queen Mary University of London, London, UK, E1 4NS. g.woodward@qmul.ac.uk

Trends in Ecology & Evolution
|May 17, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Towards Key Principles of Host-Associated Microbiome Assembly.

Ecology letters·2026
Same author

A fixed methane filter maximizes freshwater emissions under warming.

Nature climate change·2026
Same author

A finely annotated dataset for the automated acoustic identification of European Orthoptera and Cicadidae.

Scientific data·2026
Same author

Whole-stream wastewater addition stimulates the green food web pathway but does not affect food chain length.

Hydrobiologia·2026
Same author

Species introductions shift seed dispersal potential more than extinctions across 120 island plant-frugivore communities.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Overcoming the disconnect between species interaction networks and biodiversity conservation.

Trends in ecology & evolution·2025
Same journal

The emerging field of wild animal welfare science.

Trends in ecology & evolution·2026
Same journal

Integrating nutritional mutualists into the evolution of defense.

Trends in ecology & evolution·2026
Same journal

Formation of three great Asian plateaus, climate change, and biodiversity: (Trends Ecol. Evol. 40, 970-982; 2025).

Trends in ecology & evolution·2026
Same journal

Digital twins as a tool for ecosystem research.

Trends in ecology & evolution·2026
Same journal

Constraint and convergence in the evolution of vertebrate sound production.

Trends in ecology & evolution·2026
Same journal

Is a comprehensive root economics space a chimera?

Trends in ecology & evolution·2026
See all related articles

Body size is a key factor influencing ecological networks and food webs. Incorporating metabolic theory into models can help predict how biodiversity changes impact ecosystem stability and function.

Area of Science:

  • Ecology
  • Theoretical Ecology
  • Metabolic Theory

Background:

  • Body size is a fundamental species trait influencing ecological network structure and dynamics.
  • Measuring body size offers a simplified method to represent complex biological information within networks.
  • Recent theoretical models increasingly incorporate body size to study food web stability, energy flow, and responses to disturbances.

Purpose of the Study:

  • To explore the utility of metabolic theory in ecological network modeling.
  • To develop novel models for describing ecological network structure and function.
  • To assess the impacts of biodiversity change on ecological networks.

Main Methods:

  • Theoretical modeling incorporating body size data.
  • Application of metabolic constraints to body-size scaling relationships.

Related Experiment Videos

  • Analysis of ecological network dynamics and stability.

    • Main Results:

    • Body size is a critical determinant of ecological network properties.
    • Metabolic theory provides a robust framework for understanding body-size scaling.
    • Theoretical models integrating body size can predict ecosystem responses to change.

    Conclusions:

    • Integrating body size and metabolic theory enhances ecological network analysis.
    • This approach offers predictive power for biodiversity change impacts.
    • Novel models can be developed to understand ecosystem functioning and stability.