| 1. | Populations always grow exponentially without limitations. |
| 2. | Logistic growth only applies to large mammals, not smaller organisms. |
| 3. | The model assumes species interactions do not affect population size. |
| 4. | Resources are finite and become limiting over time, leading to carrying capacity constraints. |
In nature, a given habitat has enough resources to support a maximum possible number, beyond which no further growth is possible. This limit is known as
| 1. | Environmental resistance |
| 2. | Intrinsic rate of natural increase |
| 3. | Carrying capacity |
| 4. | Exponential growth |
| List-I | List-II | ||
| A. | Logistic growth | I. | Unlimited resource availability condition |
| B. | Exponential growth | II. | Limited resource availability condition |
| C. | Expanding age pyramid | III. | The percent individuals of pre-reproductive age is largest followed by reproductive and post reproductive age groups |
| D. | Stable age pyramid | IV. | The percent individuals of pre-reproductives and reproductive age group are same |
| Options: | A | B | C | D |
| 1. | II | IV | III | I |
| 2. | II | I | III | IV |
| 3. | II | III | I | IV |
| 4. | II | IV | I | III |
Verhulst - Pearl logistic population growth is represented by
1.
2.
3.
4.
Change in population size equation with prolonged exponential phase can be converted into the logistic growth equation by multiplying it with
1.
2.
3.
4.
| 1. | 'a' represents exponential growth when responses are not limiting the growth; and 'b' represents logistic growth when responses are limiting the growth. |
| 2. | 'a' represents logistic growth when responses are not limiting the growth; 'b' represents exponential growth when responses are limiting the growth. |
| 3. | 'a' represents carrying capacity and 'b' shows logistic growth when responses are limiting the growth. |
| 4. | 'a' represents exponential growth when responses are not limiting the growth and 'b' shows carrying capacity. |
| A. | Lag phase, followed by phases of acceleration and deceleration and finally an asymptote. |
| B. | The ability to realise its innate potential to grow in number and reach enormous densities in short time. |
| C. | Exponential growth |
| D. | Logistic growth |
| Assertion (A): | The logistic growth model is considered a more realistic model for most animal populations in natural environmental conditions. |
| Reason (R): | Most animals are capable of showing active locomotion. |
| 1. | Both (A) and (R) are True and (R) correctly explains (A) |
| 2. | Both (A) and (R) are True and (R) does not correctly explain (A) |
| 3. | (A) is True, (R) is False |
| 4. | (A) is False, (R) is False |
| 1. | Growth rate is maximum when population is far below carrying capacity. |
| 2. | Growth rate declines as population size approaches carrying capacity. |
| 3. | Population stabilises when environmental resistance equals biotic potential. |
| 4. | Population overshoots carrying capacity permanently and continues to grow exponentially. |
When does the growth rate of a population following the logistic model equal zero? The logistic model is given as dN/dt = rN(1 - N/K)
| 1. | when death rate is greater than birth rate |
| 2. | When N/K is exactly one |
| 3. | When N nears the carrying capacity of the habitat |
| 4. | When N/K equals zero |