In: Statistics and Probability
This is a simple problem related to modeling an expression for growth of population which is based on the logistic model.
In a logistic model,
If a population is growing in a constrained environment with carrying capacity K, and absent constraint and would grow exponentially with growth rate r, then the population behavior can be described by the logistic growth model:
Where n is the time period .
Now from our question ,
The initial population(Po) =50
Carrying capacity (K)=500
Growth rate (r) =10% or 0.10
Keeping the values we can get population as per logistic growth for each year
Let us find the population after 1st year
P1 =50+0.10*(1-50/500)*5
P1 =54.5
Similarly we can find P2,P3, ....
The given data is
Rate | 0.1 |
Carry capacity | 500 |
The population after each year is shown in the table below.
Year | Population |
0 | 50 |
1 | 54.50 |
2 | 59.36 |
3 | 64.59 |
4 | 70.21 |
5 | 76.25 |
6 | 82.71 |
7 | 89.61 |
8 | 96.97 |
9 | 104.78 |
10 | 113.06 |
11 | 121.81 |
12 | 131.03 |
13 | 140.70 |
14 | 150.81 |
15 | 161.34 |
16 | 172.27 |
17 | 183.56 |
18 | 195.18 |
19 | 207.08 |
20 | 219.21 |
21 | 231.52 |
22 | 243.95 |
23 | 256.44 |
24 | 268.93 |
25 | 281.36 |
26 | 293.67 |
27 | 305.78 |
28 | 317.66 |
29 | 329.25 |
30 | 340.49 |
31 | 351.35 |
32 | 361.80 |
33 | 371.80 |
34 | 381.33 |
35 | 390.38 |
36 | 398.94 |
37 | 407.00 |
38 | 414.57 |
39 | 421.66 |
40 | 428.26 |
41 | 434.41 |
42 | 440.11 |
43 | 445.38 |
44 | 450.24 |
45 | 454.72 |
46 | 458.84 |
47 | 462.62 |
48 | 466.08 |
49 | 469.24 |
50 | 472.13 |
51 | 474.76 |
52 | 477.16 |
53 | 479.34 |
54 | 481.32 |
55 | 483.11 |
56 | 484.75 |
57 | 486.23 |
58 | 487.56 |
59 | 488.78 |
60 | 489.87 |
61 | 490.87 |
62 | 491.76 |
63 | 492.57 |
64 | 493.30 |
65 | 493.97 |
66 | 494.56 |
67 | 495.10 |
68 | 495.58 |
69 | 496.02 |
70 | 496.42 |
71 | 496.77 |
72 | 497.09 |
73 | 497.38 |
74 | 497.64 |
75 | 497.88 |
76 | 498.09 |
77 | 498.28 |
78 | 498.45 |
79 | 498.61 |
80 | 498.74 |
81 | 498.87 |
82 | 498.98 |
83 | 499.08 |
84 | 499.18 |
85 | 499.26 |
86 | 499.33 |
87 | 499.40 |
88 | 499.46 |
89 | 499.51 |
90 | 499.56 |
91 | 499.61 |
92 | 499.64 |
93 | 499.68 |
94 | 499.71 |
95 | 499.74 |
96 | 499.77 |
97 | 499.79 |
98 | 499.81 |
99 | 499.83 |
100 | 499.85 |
101 | 499.86 |
102 | 499.88 |
103 | 499.89 |
104 | 499.90 |
105 | 499.91 |
106 | 499.92 |
107 | 499.93 |
108 | 499.93 |
109 | 499.94 |
110 | 499.95 |
111 | 499.95 |
112 | 499.96 |
113 | 499.96 |
114 | 499.96 |
115 | 499.97 |
116 | 499.97 |
117 | 499.97 |
118 | 499.98 |
119 | 499.98 |
120 | 499.98 |
121 | 499.98 |
122 | 499.98 |
123 | 499.99 |
124 | 499.99 |
125 | 499.99 |
126 | 499.99 |
127 | 499.99 |
128 | 499.99 |
129 | 499.99 |
130 | 499.99 |
131 | 499.99 |
132 | 499.99 |
133 | 500.00 |
Thus we see that after 5 years ,the fish population will be roughly equal to 76
and it will attain its carrying capacity is about 133 years.
b). The exponential growth is practically un-realistic because it does not consider the constraints due to environmental limits that have very high consequences on the growth of the population of the sample under consideration .This is because according to this model, a population can grow with no limits.Thus the growth can be bottomless .
Now reflect on the logistic growth model.
It is a growth model which takes into account the constraints or limiting capacity of the environment it is within.
Such being the case, the logistic growth model is a more realistic model because it considers those environmental limits that are limiting or detrimental to the population growth. It tells us that the population has a limit because of those environmental factors.
For example,in our example shared above, the fish tank capacity is the limiting condition and hence it tells us that the eventual population cant be limitless . It has to stop at 500 .