Please place your name in the upper-right corner.
If you had a matrix in R called dat
that had 10 rows
and 8 columns, write how would you (1) index the fifth row, (2), the
third column, and, take a guess, (3) the last five rows of the first
column.
Fundamental to this course is understanding is understanding the
difference between dynamic models and solutions to dynamic models.
Please, in one or two sentences describe this difference. In addition,
please write down the model and solution to the continuous-time
density-independent equation (from last week’s reading, discussion, and
the board yesterday).
Just using words, briefly (a couple of sentence), describe (1)
how the rate of change of population changes as a function of density
and, then, (2) how the per-capita rate of changes as a function of
density.
Stevens (2023) presented two versions of differential (i.e.,
continuous-time) equations equating the rate of change to a
density-dependent process. In addition to the two equations, I will add
a third. For all three of these equations that follow, (1) multiply them
through, if needed, and (2) solve for \(N\) when the rate of change is 0; i.e,
\(\mathrm{d}N/\mathrm{d}t = 0\).
\(\frac{\mathrm{d}N}{\mathrm{d}t} = N\left(r -
\alpha N\right)\)
\(\frac{\mathrm{d}N}{\mathrm{d}t} =
rN\left(\frac{K - N}{K}\right)\)
\(\frac{\mathrm{d}N}{\mathrm{d}t} = rN\left(1
- \alpha N\right)\)
It is instructional and useful to understand our dynamical models
not only as rates of change of populations, but the per-capita rates of
change. To find the per-capita rate of change, simply divide both sides
of the equation by \(N\). That’s it!
Please make four graphs below. The first row should be the \(r\)-\(K\)
and the second should be the \(r\)-\(\alpha\) logistic models. For the first
column, please plot population growth rate for each equation as a
function of density; i.e., density on the horizontal axis and the
population growth rate (i.e., the derivative) on the vertical axis. For
the second column, please plot per-capita growth rate for each equation
as a function of density; i.e., density on the horizontal axis and the
per-capita growth rate (i.e., the derivative\(/N\)) on the vertical axis.
The highest estimated reproductive rate (i.e., intrinsic rate of increase) for brown bears (Ursus arctos) is 0.96 and the highest recorded density is 0.41 individuals per km\(^2\). For every increase in brown bears density, how much does their per-capita growth rates decrease? What parameter does this value correcepond to in the \(r\)-\(\alpha\) logistic model?
(So cute)