Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Population modeling: a systems approach.

G A Coulman, S R Reice, R L Tummala

Science (New York, N.Y.)

|February 4, 1972

Summary

A new population dynamics model simulates single species growth, birth, and death rates. Computer simulations using laboratory data show promising initial results for field population predictions.

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

Ethanol fermentation with cell recycling: Computer simulation.

Biotechnology and bioengineering·1983

Same author

Dialysis continuous process for ammonium-lactate fermentation of whey: mathematical model and computer simulation.

Applied and environmental microbiology·1977

Same author

Dialysis continuous process for ammonium-lactate fermentation of whey: experimental tests.

Applied and environmental microbiology·1977

See all related articles

Area of Science:

Ecology
Mathematical Biology
Population Dynamics

Background:

Understanding population dynamics is crucial for ecological management.
Accurate modeling requires integrating key life history processes like birth, growth, and death.

Purpose of the Study:

To construct and validate a single species population dynamics model.
To simulate field population behavior using laboratory-derived parameters.

Main Methods:

Developed a population dynamics model incorporating functional representations of birth, growth, and death.
Implemented the model via computer simulation.
Utilized laboratory parameter estimates for model calibration.
Performed replicate runs with parametric sampling to assess model performance.

Main Results:

Preliminary simulation results demonstrated reasonable statistical agreement between model predictions and expected population behaviors.
Parametric sampling indicated the model's robustness.

Conclusions:

The constructed population dynamics model shows potential for simulating single species field populations.
Further refinement using systems analysis techniques is warranted to enhance model accuracy and applicability.

Related Experiment Videos