Answer:
Our Model will be:
![\left[\begin{array}{ccc}C+1\\S+1\\A+1\end{array}\right] =\left[\begin{array}{ccc}0&0&0.5\\0.83&0.39&0\\0&0.33&0.977\end{array}\right] *\left[\begin{array}{ccc}C\\S\\A\end{array}\right]](https://img.qammunity.org/2021/formulas/mathematics/college/slwd45ib6eirgtebqf7fyb67npawglx1x9.png)
Explanation:
As we know while making a discrete time matrix model we look at how much of a state contributes to the next state thus let following be the variables which shows the present state and the next state:
Pandas have three life stages: cubs, sub adults, and re-productively mature adults So,
C = Cubs
S = Sub Adults
A = Mature Adults
Now,
Next Level Contribution of C Contribution of S Contribution of A
C+1 0 (since cubs only 0 (Since no sub 0.5 (Since adults give
remain cubs for a adults will become birth to 0.5 females
year.) cubs next year.) each year.)
S+1 0.83 (since all cubs 0.39 (Those who 0 (Since no adults
will become sub-adults remain sub-adults will become
accept those who die. after those who sub-adults next
) matured or died. year.)
)
A+1 0 (Since no cubs 0.33 (Since about 33% 0.977 (Since 97.7%
will become adults of sub adults mature of adults will survive
next year. into adults each year.) through next year.)
Thus, The model becomes:
![\left[\begin{array}{ccc}C+1\\S+1\\A+1\end{array}\right] =\left[\begin{array}{ccc}0&0&0.5\\0.83&0.39&0\\0&0.33&0.977\end{array}\right] *\left[\begin{array}{ccc}C\\S\\A\end{array}\right]](https://img.qammunity.org/2021/formulas/mathematics/college/slwd45ib6eirgtebqf7fyb67npawglx1x9.png)