FAS - 6337C Fish Population Dynamics
- Spring Odd Years
Credits: 4 hours
Prerequisites: STA 6166
Course Description:
Course will demonstrate the analysis of fish populations for
management purposes. Methods for estimating fish population parameters
(e.g.,growth, recruitment, and mortality) will be conducted. We will
use a variety of computer models and SAS (Statistical Analysis Systems) to
assess fish populations. You will predict yield and catch composition
for recreational fisheries, and assess effects of harvest restrictions for
fisheries management problems. This course is intended for graduate
students in FAS or other natural-resource departments.
Objective:
Provide you with the necessary tools to assess recreational or
commercial fish populations. Lectures will demonstrate the methods
used, and laboratories will provide experience in using the various assessment
tools. Importance of assigning probabilistic statements to fishery
assessments will be emphasized.
Instructor:
Dr. Mike S. Allen
Fisheries and Aquatic Sciences
7922 NW 71st Street (392-9617 ext. 252)
email: msal@gnv.ifas.ufl.edu
Web Page: http://grove.ufl.edu/~msal/
Lecture Times*: Mondays - 8:30-9:50,
5 min break
Wednesdays - 8:30-9:50, 5 min break
Laboratory Times: Wednesdays: 1:15-5:00 PM
Textbook: Haddon, M. 2000. Modelling
and Quantitative Methods in Fisheries. Chapman
and Hall, London.
ISBN 1-58488-177-1
Optional guides for help with using SAS
Schlotzhauer, S. D., and R. C. Littell. 1987. SAS System for
elementary statistical analysis. SAS Institute, Cary, NC.
Delwiche, L. D., and S. J. Slaughter. 1995. The little SAS book.
SAS Institute, Cary, NC.
*You will need a hand-held calculator that does simple statistics including
linear regression, means, standard deviations, log functions (loge and base
10), square roots, inverse functions, X2, and XY.
Grading System:
Two exams at 20% each
40%
Laboratory exercises 8 @ 5% each
40%
Comprehensive final exam
20%
Total
100%
Grading Scale: 90-100
A
88-89
B+
80-87
B
70-79
C
60-69
D
< 60
F
Exams will consist of short-answer questions, and statistical and mathematical
problems.
All students are required to abide by the Academic Honesty Guidelines which
have been accepted by the University of Florida (http://www.aa.ufl.edu/aa/Rules/4017.htm).
Failure to comply strictly to these guidelines can result in failure
of the course.
FAS -6337C Fish Population Dynamics
Lecture Syllabus
I. Introductory Material
-course goals
-what is a fishery?
-history of fisheries management
-what is a model?
II. Population Growth
-rates of increase (finite versus instantaneous)
-derivation
-models
III. Somatic growth
-age-and-growth estimation techniques
-reporting fish growth
-models of fish length and weight
-condition indices
-comparison of growth rates using linear
and nonlinear methods
IV. Mortality
-finite and instantaneous rates
-fishing and natural mortality
-compensatory versus additive mortality
-estimation techniques and confidence
intervals
V. Recruitment
-definitions
-estimation
-stock-recruitment relationships
-environmental factors
-stochastic methods
VI. Population Models
A. graphical
-surplus production of a fishery
-Graham-Schaefer surplus production curve
B. deterministic
-Ricker tabular model
-Beverton and Holt equilibrium yield model
C. stochastic
-use and misuse of stochastic models
-population cycles in fishes?
-IFREGS
-MOCPOP
-FAST Program
VII. Fish Population Trends
-cycles in fish populations
-effects of density
-abiotic versus biotic influences on
abundance
-effects
VIII. Models based on Catch-at-Age
-Virtual Population Analysis
-Statistical Catch-at-Age models
-Spawning Potential Ratios (SPR)
IX. Review and Concluding Topics
FAS -6337C Fish Population Dynamics
Laboratory Syllabus
Data for all labs can be obtained from the web page or from a disk given
out in class. Each laboratory will include two portions of equal (50%
value): 1) a section of data analysis, your SAS program, and short answers
to questions, and 2) a lab report that summarizes the most pertinent results
and is written in the format of a scientific article.
Schedule
Week Activity
1 Review
programming and data management with SAS (assignment #1)
2 Continue
programming and assignment #1
3 Estimates
of fish growth, growth models in SAS, goodness of fit, testing
for differences in growth rates (assignment 2, part 1)
4 Continue
growth analysis (assignment 2, part 2)
5 Mortality
estimation and comparison (assignment #3)
6 No
Lab, AFS meeting in Wilmington, NC
7 Techniques
for fitting stock-recruitment curves (assignment #4)
8 No
Lab, FL Chapter AFS Meeting
9 Ricker
tabular model, Beverton and Holt equilibrium yield model (assignment #5)
10 Continue
Beverton and Holt assignment
11 FAST Program
(assignment #7)
12 Continue
FAST model assignment
13 VPA analysis
(assignment #8)
14 Continue
VPA assignment
15 Review
and summary