Repository logo
Log In(current)
  1. Home
  2. Colleges & Schools
  3. Graduate School
  4. Masters Theses
  5. A nonautonomous size-dependent model of fish population dynamics
Details

A nonautonomous size-dependent model of fish population dynamics

Date Issued
August 1, 1980
Author(s)
Cochran, Margaret Elizabeth
Advisor(s)
Thomas G. Hallam
Additional Advisor(s)
Charles Clark
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/37149
Abstract

The purpose of this work is to develop a model which describes the dynamics of a fish population in terms of biological processes. A first order partial differential equation which relates birth, growth, and mortality to size and the number of individuals present is developed to model a single species. This equation is then solved for size- and time-dependent growth and mortality functions.

The single species model is extended to model a two species system. Competitive, mutualistic, and predator-prey systems are all considered, and conditions are found under which the model has a unique solution. The numerical solution is discussed, along with several possible simplifications of the model. The contraction mapping method of solving this system can be extended to a system of n species. Although the model was originally developed to model fish populations. it may also be used, without modification; to model the population dynamics of radically different species.

Degree
Master of Science
Major
Mathematics
File(s)
Thumbnail Image
Name

Thesis80C624.pdf

Size

1.41 MB

Format

Unknown

Checksum (MD5)

3fa57fd549f8d301e2efedc83a4321e3


University Libraries

1015 Volunteer Boulevard
Knoxville, TN 37996
865-974-4351

Map & Directions
Donate to the Libraries
  • About
  • John C. Hodges Society
  • Speaking Volumes magazine
  • Outreach
  • Directory
  • Employment
  • Policies
  • Library Intranet
University of Tennessee power T logo

The University of Tennessee, Knoxville
Knoxville, Tennessee 37996
865-974-1000

Events
A-Z
Apply
Privacy
Map
Directory
Give to UT
Accessibility

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science