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

Population dynamics in variable environments. VI. Cyclical environments.

S Tuljapurkar

    Theoretical Population Biology
    |August 1, 1985
    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

    Sensitivity of the population growth rate to demographic variability within and between phases of the disturbance cycle.

    Ecology letters·2006
    Same author

    Soils, agriculture, and society in precontact Hawai'i.

    Science (New York, N.Y.)·2004
    Same author

    A universal pattern of mortality decline in the G7 countries.

    Nature·2000
    Same author

    Demography. Taking the measure of uncertainty.

    Nature·1997
    Same author

    Death and taxes: longer life, consumption, and social security.

    Demography·1997
    Same author

    Response.

    Science (New York, N.Y.)·1995
    Same journal

    Applying invasion criterion to cultural evolution.

    Theoretical population biology·2026
    Same journal

    The joint spectrum over trees under the Kingman coalescent with varying population.

    Theoretical population biology·2026
    Same journal

    Statistical test to compare the linkage model and the admixture model based on central limit results.

    Theoretical population biology·2026
    Same journal

    Threshold dynamics in age-structured distributions with expanding support: A unified mathematical framework.

    Theoretical population biology·2026
    Same journal

    Mechanistic-statistical model for the expansion of ash dieback.

    Theoretical population biology·2026
    Same journal

    Dynamics of an intraguild predation system with optimal foraging and harvesting.

    Theoretical population biology·2026
    See all related articles

    Population dynamics are influenced by cyclical changes in vital rates. The study reveals how generation length relative to cycle period dictates population behavior and transient responses.

    Area of Science:

    • Ecology
    • Mathematical Biology
    • Population Dynamics

    Background:

    • Population dynamics are fundamental to ecological understanding.
    • Vital rates (birth and death rates) often exhibit temporal variations.
    • Cyclical fluctuations in vital rates can significantly impact population trajectories.

    Purpose of the Study:

    • To investigate the dynamics of age-structured populations under cyclical vital rate variations.
    • To identify key factors governing population responses to environmental cycles.
    • To develop a calculable response function for predicting population behavior.

    Main Methods:

    • Mathematical modeling of age-structured populations.
    • Analysis of population dynamics under cyclical vital rates.

    Related Experiment Videos

  • Derivation of an explicit response function.
  • Comparison of population behavior across different cycle periods relative to generation length.
  • Main Results:

    • Population behavior is characterized by a calculable response function.
    • Three distinct dynamic regimes emerge based on the ratio of cycle period to average generation length.
    • Transient population properties, influenced by average vital rates, are crucial for understanding responses to cycles.

    Conclusions:

    • The interplay between cycle period and generation length is critical for population persistence.
    • The derived response function offers predictive power for population dynamics in fluctuating environments.
    • Understanding transient dynamics is essential for ecological forecasting and management.