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

Stability and instability in evolution

V Benci1, L Galleni

  • 1Istituto di Matematiche Applicate "U. Dini", Universitá di Pisa, Pisa, 56124, Italy.

Journal of Theoretical Biology
|October 29, 1998
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

Chromosome painting in the long-tailed field mouse provides insights into the ancestral murid karyotype.

Cytogenetic and genome research·2004
Same author

Non-light based ecosystems and bioastronomy.

Rivista di biologia·2002
Same author

Karyology of the Savi pine vole, Microtus savii (De Sélys-Longchamps, 1838) (Rodentia, Arvicolidae): G-, C-, DA/DAPI-, and AluI-bands.

Cytogenetics and cell genetics·1992
See all related articles

This study proposes a model explaining evolutionary stability and instability periods. It integrates Gaia hypothesis feedback mechanisms with external, uncontrollable parameters across different timescales.

Area of Science:

  • Earth System Science
  • Evolutionary Biology
  • Theoretical Ecology

Background:

  • The Gaia hypothesis suggests biosphere self-regulation through feedback mechanisms.
  • Observed patterns in life's evolution include alternating periods of stability and instability.
  • Understanding the drivers of these evolutionary dynamics is crucial.

Purpose of the Study:

  • To propose a novel mechanism explaining the observed periods of stability and instability in the evolution of life.
  • To integrate existing theories, such as the Gaia hypothesis, with new factors.
  • To develop a theoretical model for evolutionary dynamics.

Main Methods:

  • Conceptual modeling integrating Gaia hypothesis feedback loops.
  • Inclusion of external, uncontrollable parameters with varying time-scales.

Related Experiment Videos

  • Theoretical framework development to analyze biosphere dynamics.

    • Main Results:

    • The proposed model offers a potential explanation for alternating stability and instability phases in evolutionary history.
    • It highlights the interplay between internal biosphere regulation and external environmental forcing.
    • The model suggests that external parameters of different time-scales are key to understanding evolutionary lability.

    Conclusions:

    • The integration of Gaia-like feedback with external, multi-timescale parameters provides a robust framework for understanding evolutionary dynamics.
    • This model advances our comprehension of life's historical trajectory, reconciling stability with punctuated change.
    • Further research can refine this model to predict future evolutionary patterns.