VERTEBRATE POPULATION DYNAMICS
FNR 547
COURSE DESCRIPTION: Introduction to mathematical models of
population processes; analysis and estimation of spatial and temporal variation
in population-level parameters of vertebrates; computer modeling of populations;
quantitative basis for conservation and management of populations.
INSTRUCTOR: Dr. Patrick Zollner
TEACHING
ASSISTANT: Joe Duchamp
Office: Forestry Building, Room 102A Office:
Phone: 49-43590 Phone: 49-61216
Email: pzollner@purdue.edn Email: jed@fnr.purdue.edu
Hours: MWF
TEXT: Finally a
book has been written for the material covered in this course. “Analysis and management of animal
populations” by Williams, Nichols, and Conroy provides a detailed treatment of
vertebrate population dynamics. It is
destined to become a valuable resource that should be on the shelf of every
wildlife biologist. Don’t sell it back
if you intend to stay in the wildlife profession. As a supplement, I have provided a list of
books that you may find useful as reference materials; most of them can be
found in the Life Science library in Lilly Hall. I also have provided citations from the
primary literature pertaining to topics that we examine. I encourage you to
explore these references in more detail than we can cover in class. Students are expected to come to class
prepared; in other words, read the required material before the lecture, and be
prepared to ask (and answer) questions about it.
ATTENDANCE: I do
not regularly record attendance, but attendance and final course grades are
significantly correlated.
HOMEWORK: Problem
sets and assignments for computer modeling will be made regularly throughout
the semester. Answers to problems should
be neatly written, with sufficient text to enable me to follow easily the line
of reasoning used to solve a problem.
All work which is germane to a solution should be shown; i.e., provide
intermediate steps in simplifying a complex algebraic expression, but don't
clutter the page by including "dead end" calculations. And organize your answers; if you hand in a
messy, jumbled draft that skips from one part of a page to another, you will
lose points. Partial credit will be
given only sparingly if at all, so check your work and avoid silly
mistakes. A penalty of 10% per class day
is assessed to any late assignment.
POLICY ON CHEATING: Each student is expected to do his/her
homework independently, except as outlined below. I encourage discussion of approaches or
difficulties encountered when solving homework problems. However, each student is responsible for
deciding upon an approach and for completing the necessary calculations. In other words, any form of copying or
group problem-solving constitutes cheating.
Periodic visits will be made to the student commons and the computer lab
to monitor compliance. Cheating will
result in a zero for the assignment in question. A second offense will result in a zero for
the course. Do your own work; you'll
learn more and be prouder of your accomplishments!
FNR 547 SYLLABUS
|
DAY |
DATE |
|
TENTATIVE TOPIC |
|
M |
25 Aug |
Chap 1 |
Introduction and course overview |
|
W |
27 Aug |
Self-assessments
Chaps 2, 3 |
Scientific method and the role of models |
|
F |
29 Aug |
Chap 4 |
Statistics and parameter estimation |
|
M |
1 Sep |
|
Labor
Day – no class |
|
W |
3 Sep |
Chap 4 |
Parameter estimation and hypothesis testing |
|
F |
5 Sep |
Chap 5 |
Sampling designs for population studies |
|
M |
8 Sep |
Chap 5 |
Sampling designs for population studies |
|
W |
10 Sep |
Chap 12 |
Canonical estimator for abundance from counts;
Population indices |
|
F |
12 Sep |
Problem ID Chap 13 |
Estimating abundance: distance-based methods |
|
M |
15 Sep |
Chap 13 |
Estimating abundance: distance-based methods |
|
W |
17 Sep |
Chap 14.4-14.5 |
Estimating abundance of closed populations subject
to exploitation |
|
F |
19 Sep |
AGAD 021 |
Tutorial:
SPSS and DISTANCE |
|
M |
22 Sep |
AGAD 021 |
Tutorial: MARK
(Huggins design) |
|
W |
24 Sep |
Chap 14.1-14.3 |
Estimating abundance of closed populations with
mark-release-recapture |
|
F |
26 Sep |
Chap 14.1-14.3 Team Charter Due |
Estimating abundance of closed populations with
mark-release-recapture |
|
M |
29 Sep |
|
Estimating abundance with telemetry and resighting
data |
|
W |
1 Oct |
Chap 15 |
Estimation of survival using telemetry or nest
searches |
|
F |
3 Oct |
AGAD 021 |
Tutorial:
MARK (CAPTURE) Tutorial:
NOREMARK |
|
M |
6 Oct |
Chap 15
|
Estimating survival using telemetry or nest searches |
|
W |
8 Oct |
Chap 17 |
Estimating survival from mark-release recapture
studies |
|
F |
10 Oct |
Study Design Chap 17 |
Estimating survival from mark-release recapture
studies |
|
M |
13 Oct |
|
October
Break – no class |
|
W |
15 Oct |
Chap 16 |
Estimating survival from band-return data |
|
DAY |
DATE |
|
TENTATIVE TOPIC |
|
F |
17 Oct |
AGAD 021 |
Tutorials for survival: MARK (Mayfield, Known Fates design),
MICROMORT, SPSS |
|
M |
20 Oct |
AGAD 021 Study Design Peer Evaluation |
Tutorials for survival: MARK (Cormack-Jolly-Seber, band-recovery
designs) |
|
W |
22 Oct |
Chap 18 |
Estimating abundance and recruitment from MRR
studies |
|
F |
24 Oct |
Chap 19 |
Combining open and closed MRR models: the Robust Design |
|
M |
27 Oct |
AGAD 021 |
Tutorials for survival: MARK (Jolly-Seber, Pollock’s robust design) |
|
W |
29 Oct |
Chap 20
|
Estimating community parameters from MRR studies |
|
F |
31 Oct |
AGAD 021 |
Tutorial for community parameters: MARK and COMDYN |
|
M |
3 Nov |
|
Quantifying habitat selection |
|
W |
5 Nov |
|
Estimating home-range size |
|
F |
7 Nov |
Chap 8.1 |
Density-independent population models |
|
M |
10 Nov |
Chap 8.2 |
Density-dependent population models |
|
W |
12 Nov |
Chap 8.4 |
Age-structured population models |
|
F |
14 Nov |
AGAD 021 |
Tutorial: POPULUS |
|
M |
17 Nov |
Original MS Chap 8.4 |
Age-structured population models and Lotka’s equation |
|
W |
19 Nov |
Chap 8.5 |
Size-structured population models |
|
F |
21 Nov |
AGAD 021 |
Tutorial:
MATLAB |
|
M |
24 Nov |
Peer Reviews Chap 8.4-8.5 |
Parameterizing Leslie and Lefkovitch matrices |
|
W |
26 Nov |
|
Thanksgiving
Break – no class |
|
F |
28 Nov |
|
Thanksgiving
Break – no class |
|
M |
1 Dec |
Chap 11.1 |
Dynamics of harvested populations |
|
W |
3 Dec |
Chap 11.2 |
Spatially structured models and conservation |
|
F |
5 Dec |
Revised
MS |
Human population growth and a responsibility
philosophy |
|
|
TBA |
Final
Exam |
|
|
|
|
|
|
SEMESTER PROJECT:
The
semester project is actually broken into two parts. The first part requires you to work
individually to identify important research problems related to the management
and understanding of vertebrate populations and to design a study to address a
particular problem that is assigned to you.
You also will critique (anonymously) one of your peer’s study
designs. In the second part of the
project you will work as a member of a team to which you are assigned. Your task will be to test particular
hypotheses using real data and appropriate quantitative methods from those
covered in class. Your team will be
responsible for handing in a scientific manuscript detailing your work,
evaluating manuscripts written by other teams, and presenting an oral report
summarizing your findings.
Individual Portion
Important: choose a problem or question that is of
importance to vertebrate ecologists and managers. The problem ultimately should be explained
and then summarized with objectives or hypotheses to test.
Team Portion
%
OF PROJECT
PROJECT GRADE BREAKDOWN GRADE
Questionnaire for team
skills assessment .................................................................... 1
Problem ID
................................................................................................................ 4
Study Design …….................................................................................................. 20
Evaluation of peer design............................................................................................ 10
Original version of
manuscript: 3 copies of manuscript (1
with name on it) ............... 30
Written reviews of other
team reports ........................................................................... 10
Final (revised) version of
manuscript: 1 paper copy and 1 disk copy
.......................... 15
Oral report
.................................................................................................................... 10
COURSE GRADE: A
final course grade will be calculated from homework assignments and the
semester report according to the following formula:
SEMESTER PROJECT = 35%
FINAL EXAM = 10%
Each homework assignment will be weighted
equally. A final grade of 90-100% will
earn an A, 80-89.9% no lower than a B, 70-79.9% at least a C, and 60-69.9% at
least a D. I rarely curve.