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

Encounters in predator-prey systems: a simple discrete model.

E O Voit

    Bio Systems
    |January 1, 1984
    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

    Plasmodium knowlesi: a superb in vivo nonhuman primate model of antigenic variation in malaria.

    Parasitology·2017
    Same author

    The neurochemical mobile with non-linear interaction matrix: an exploratory computational model.

    Pharmacopsychiatry·2013
    Same author

    Mesoscopic models of neurotransmission as intermediates between disease simulators and tools for discovering design principles.

    Pharmacopsychiatry·2012
    Same author

    Effects of dopamine and glutamate on synaptic plasticity: a computational modeling approach for drug abuse as comorbidity in mood disorders.

    Pharmacopsychiatry·2011
    Same author

    So, you want to be a systems biologist? Determinants for creating graduate curricula in systems biology.

    IET systems biology·2011
    Same author

    Computational modeling of synaptic neurotransmission as a tool for assessing dopamine hypotheses of schizophrenia.

    Pharmacopsychiatry·2010
    Same journal

    The bridges evolution built: In search of mechanisms that couple scales of perception and action.

    Bio Systems·2026
    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
    See all related articles

    This study proposes a discrete model linking animal movement and predator-prey encounters to exploitation models. It identifies the "area of discovery" as a predictable coefficient based on physical properties, improving ecological modeling.

    Area of Science:

    • Ecology
    • Mathematical Biology
    • Population Dynamics

    Background:

    • Predator-prey systems are commonly modeled using exploitation models.
    • These models accurately mimic experimental data but often lack clear links to individual animal behavior.
    • Understanding the relationship between individual movement and population dynamics is crucial.

    Purpose of the Study:

    • To develop a simple discrete model connecting animal movement, predator-prey encounters, and exploitation model dynamics.
    • To elucidate the role of the "area of discovery" in predator-prey interactions.
    • To provide a more behaviorally relevant framework for ecological modeling.

    Main Methods:

    • A simple discrete mathematical model was developed.
    • The model incorporates non-random search behavior of predators and prey.

    Related Experiment Videos

  • The concept of "area of discovery" was analyzed as a predictable coefficient.
  • Main Results:

    • The proposed model successfully links individual animal behavior to system-level dynamics.
    • The "area of discovery" was identified as a quantifiable coefficient derived from physical properties.
    • The model accounts for non-random habitat preferences in experimental systems.

    Conclusions:

    • The discrete model offers a clearer understanding of predator-prey system dynamics by integrating animal behavior.
    • The "area of discovery" is a key, measurable parameter in these systems.
    • This approach enhances the interpretability of exploitation models in ecological research.