F&WL 501 Problem Set #7
Density-dependence - variation
In the exercises below, you will (a) set the amount of variation present in R0, K, and
observation error, and (b) investigate the influence of varying those quantities on
population dynamics and our a
Lab Exercise #8 Reproductive Value
Reproductive value of an individual of age x is a measure of the extent to which it
contributes to the ancestry of future generations. (Roff, D. 2002 page 69)
an optimum life history maximizes for each age clas
F&WL 501 - Lab Exercise #9
Part A. Investigate the compensatory and additive mortality hypotheses using the R script titled,
1. Define the compensatory and additive mortality hypotheses.
2. To test these hypotheses, what data would be re
Lab 1 - exercises for learning R & introduction to population dynamics work in R
Examine the R help file
start R and type 'help.start()'
explore the html help to learn whats available there
check out "An Introduction to R" (access this from
F&WL 501 - Problem Set # 6
In Chapter 5, the logistic equation, one of many models of density dependence, is
discussed at length. The following exercises are intended to help you gain a better
understanding of the model and some of its
F&WL 501 - Lab #2 Stochastic Exponential Growth
1. In Chapter 2, you learned of the formula for calculating the geometric mean based on
an arithmetic mean and its variance.
a. What is that formula?
b. What is the name of the technique being used in this f
F&WL 501 - Problem Set # 5
A. You can review many of the topics weve covered so far on matrix models by working with
the 1st half of the code in the file kestrels.r. In addition, with the code in the 2nd half of the
file, you can see how to (a) calculate
F&WL 501 Problem Set #3 The following demographic information exists for a population. Age x 0 1 2 3 4 1. 2. 3. 4. 5. 0.6 0.85 0.95 0.5 0 Sx 0 0.7 0.78 1 bx Fx Pre-Breed NA Post-Breed
6. 7. 8. 9. 10. 11. 12. 13.
Fill in the Net Fecundity Rate column for e
WILD 501 - Problem Set # 4
A. Work with the file thistle.R to obtain sensitivity and elasticity results for lower-level elements
of the matrix. The work is based quite closely on the paper by Ezard et al. (2010), which is
the reading for this week.