Impala
Management
(From
Mooney and Swift, A Course In
Mathematical Modeling.)
Background and Problem
The
purpose of this project is to produce a report examining the effects of several
different types of game management on the population dynamics of an impala
herd. In particular, it should report
on herd population in impala are managed by (1) predation, (2) trophy hunting,
or (3) game ranch management. For each
of these three cases it will consider the effects of low levels of hunting or
predation (6% of the population) and high levels of hunting or predation (16%
of the population). In all, the report
should compare the effects of six management strategies on the population over
time. Aside from the data and
definitions below, you are on your own to construct the appropriate model and
run it for an appropriate length of time.
Definitions and Data
All
data is taken from [GM].
Predation means male and female
impala are killed equally and 45% of the kill is juvenile, 20% of the kill is
sub-adult and 35% of the kill is adult.
Trophy hunting means 70% of the impala
killed are male and of all the animals killed 2.5% are juvenile, 2.5% are
sub-adult, and 95% are adult. Basically
the old males with horns are the desired game.
Game ranching means 70% of the impala
killed are males, but the age proportions are 5% juvenile, 75% sub-adult, and
20% adult. Here the desired product is
meat. More males are killed because the
females give birth.
For
example, if we were game ranching at a high level and the population was at
100, we would kill 16 animals. Of those
16, 11 (actually, 11.2) would be male, and 5 (actually 4.8) would be
female. Of the males, 1 (actually 0.56)
would be juvenile, 8 (actually 8.4) would be sub-adult, and 2 (actually 2.24)
would be adults. Of the females, 0
(actually 0.25) would be juvenile, 4 (actually 3.6) would be sub-adult, and 1
(actually 0.96) would be adult.
Impala
live 11 years. A juvenile is less than one year old, a sub-adult is at least one year old and less than 5 years old, and
an adult is 5 years old or
older. Below is a table of survival and
reproduction rates for impala, in the absence of hunting. The survival rates give the percentage of
members of that age class who survive to enter the next age class.
Age Class |
Male survival rates |
Female survival rates |
Birth rates (females born to females) |
|
1 |
0.60 |
0.60 |
0 |
|
2 |
0.80 |
0.90 |
0.35 |
|
3 |
0.95 |
0.95 |
0.45 |
|
4 |
1.00 |
0.97 |
0.45 |
|
5 |
1.00 |
0.97 |
0.45 |
|
6 |
1.00 |
0.95 |
0.45 |
|
7 |
1.00 |
0.95 |
0.45 |
|
8 |
0.75 |
0.95 |
0.45 |
|
9 |
0.34 |
0.70 |
0.45 |
|
10 |
0 |
0.80 |
0.45 |
|
11 |
0 |
0 |
0.45 |
To
simplify matters, work with partial animals (e.g. 3.25 impala), and take
sub-adults (and adults) equally from the various age classes. If hunting at a certain level wipes out an
age class, just kill all the animals within it and don't worry about the fact
that fewer than 6% or 16% are removed that year. Be careful not to create negative animals!
Fifty
percent of the impala born are female, and fifty percent are male.
Only
adult males breed, and one male can breed with three females. If the population of breeding males drops
below a third of the breeding females, then the female birth rates must be
adjusted downward to compensate. Assume
that downward compensation follows a linear relation with birth rates of 0 if
no males are present.
Assume
to start with that there are 220 animals equally distributed among age classes
and sexes. Let your model run for 15
years without management to stabilize the natural growth rate. This will ensure that the system is close to
some equilibrium state before it is perturbed by management, and this will
eliminate the effects of the choice of the initial population
distribution. it will also tell how an
unmanaged herd will grow, which will give a baseline to compare with the
management results.
It
might be advisable to start with as simple a model as possible and then add
complications. To deal with the two
sexes, use a single population vector with 22 entries, where the first 11
entries are for the females and the next 11 are for the males (alternatively,
you could interleave them: females in
group 1, males in group 1, females in group 2, males in group 2, etc.).
References
[GM] J.R. Ginsberg and E.J. Milner-Gulland. "Sex biased harvesting and population dynamics in
ungulates: Implications for conservation
and sustainable use." Conservation Biology, vol. 8, no. 1, pp.
157-166, 1994