Step 1: Write the given differential equation
We are given the differential equation for the population \( p(t) \) of a mouse species:
\[
\frac{d p(t)}{dt} = 0.5 p(t) - 450.
\]
Step 2: Rearrange the equation
Rearrange the equation to separate the variables:
\[
\frac{d p(t)}{dt} = 0.5 p(t) - 450 \quad \Rightarrow \quad \frac{d p(t)}{dt} = 0.5 \left(p(t) - 900\right).
\]
Now, separate the variables \( p(t) \) and \( t \):
\[
\frac{1}{p(t) - 900} \, dp(t) = 0.5 \, dt.
\]
Step 3: Integrate both sides
Integrating both sides:
\[
\int \frac{1}{p(t) - 900} \, dp(t) = \int 0.5 \, dt.
\]
The integral on the left side is \( \ln |p(t) - 900| \), and the integral on the right side is \( 0.5t + C \):
\[
\ln |p(t) - 900| = 0.5 t + C.
\]
Step 4: Apply the initial condition
We are given the initial condition \( p(0) = 850 \). Substitute \( t = 0 \) and \( p(0) = 850 \) into the equation:
\[
\ln |850 - 900| = 0.5(0) + C \quad \Rightarrow \quad \ln 50 = C.
\]
Thus, the equation becomes:
\[
\ln |p(t) - 900| = 0.5 t + \ln 50.
\]
Step 5: Solve for \( p(t) \)
Exponentiate both sides to eliminate the logarithm:
\[
|p(t) - 900| = 50 e^{0.5t}.
\]
Since \( p(t) - 900 \) is positive (population cannot be negative), we have:
\[
p(t) - 900 = 50 e^{0.5t}.
\]
Thus, the population as a function of time is:
\[
p(t) = 900 + 50 e^{0.5t}.
\]
Step 6: Find the time when the population becomes zero
We are asked to find the time when the population \( p(t) = 0 \). Set \( p(t) = 0 \) and solve for \( t \):
\[
0 = 900 + 50 e^{0.5t} \quad \Rightarrow \quad 50 e^{0.5t} = -900.
\]
This simplifies to:
\[
e^{0.5t} = -18 \quad \Rightarrow \quad 0.5 t = \ln 18 \quad \Rightarrow \quad t = 2 \ln 18.
\]
Thus, the time at which the population becomes zero is:
\[
\boxed{2 \ln 18}.
\]