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

The potential for community level evaluations based on loop analysis.

R Pilette1, R Sigal, J Blamire

  • 1Department of Biology, Brooklyn College of CUNY 11210.

Bio Systems
|January 1, 1987
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

Spectrum and prognosis of neurologic complications after hematopoietic transplantation.

Neurology·2006
Same author

Hyperselective intra-arterial preoperative chemotherapy in patients with squamous cell carcinoma of the oral cavity: preliminary results.

Journal of neuroradiology = Journal de neuroradiologie·2006
Same author

Diagnostic and prognostic value of 18-fluorodeoxyglucose positron emission tomography in adrenocortical carcinoma: a prospective comparison with computed tomography.

The Journal of clinical endocrinology and metabolism·2005
Same author

Breast radiological cases: training with BIRADS classification.

European journal of radiology·2005
Same author

[Understanding CAD (computer-aided diagnosis) in mammography].

Journal de radiologie·2005
Same author

[Swallowing study with kinetic MRI using a single shot fast spin echo sequence in healthy volunteers and patients treated for head and neck cancer].

Journal de radiologie·2003
Same journal

Spatiotemporal bursting in simulated cultures of cortical neurons.

Bio Systems·2026
Same journal

A brief discussion on recent models shedding light on how life emerged.

Bio Systems·2026
Same journal

Memory-based strategy reputation and adaptive learning in spatial evolutionary games: A robust agent-based model for cooperation dynamics.

Bio Systems·2026
Same journal

Coherent Photonic Biofields: Revisiting Fritz-Albert Popp's Hypothesis.

Bio Systems·2026
Same journal

Ruliological Resilience: Pattern Restoration and Robustness in Wolfram Patterns. A Basis for Regeneration, Not Just in Cone Shells?

Bio Systems·2026
Same journal

The quantum-to-classical transducer: A thermodynamic and quantum mechanical framework for the emergence of bioenergetics.

Bio Systems·2026
See all related articles

This study uses computer simulations to analyze ecological communities based on Levins

Area of Science:

  • Ecological modeling
  • Theoretical ecology
  • Evolutionary dynamics

Background:

  • Levins' loop analysis provides a framework for understanding ecological communities.
  • Previous studies have explored community dynamics using theoretical models.
  • Computer simulations offer a powerful tool for analyzing complex ecological systems.

Purpose of the Study:

  • To validate a computer simulation against Levins' loop analysis.
  • To address unresolved questions posed by Levins regarding community evolution.
  • To analyze the roles of individual entities within a community.
  • To investigate the evolutionary predictions of Levins' model.

Main Methods:

  • Development and application of a computer simulation model.

Related Experiment Videos

  • Reproduction of Levins' (1975) loop analysis calculations.
  • Analysis of community structure and dynamics through simulation outputs.
  • Main Results:

    • The simulation accurately replicates Levins' theoretical calculations.
    • The simulation successfully addresses previously unanswered questions.
    • Analysis reveals distinct roles of community entities.
    • Unexpected results emerged from the evolutionary predictions.

    Conclusions:

    • Computer simulations are valuable for ecological research.
    • Community context is crucial for understanding evolutionary selection.
    • The simulation provides a platform for further ecological and evolutionary investigations.