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Sigmoid/logistic growth curve is represe...

Sigmoid/logistic growth curve is represented by

A

dN/dt=rN

B

dN/dt=rN(1-N/K)

C

Nt=No+B+I-D-E

D

dN/dt=1-N/K

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### Step-by-Step Solution: 1. **Understanding the Sigmoid/Logistic Growth Curve**: - The sigmoid or logistic growth curve is a graphical representation of how a population grows over time when resources are limited. It typically shows four distinct phases: lag phase, exponential phase, deceleration phase, and asymptote phase. 2. **Identifying the Phases**: - **Lag Phase**: Initially, the population grows slowly as individuals acclimatize to the environment. - **Exponential Phase**: The population begins to grow rapidly as resources are abundant. - **Deceleration Phase**: Growth rate slows down as resources become limited. - **Asymptote Phase**: The population reaches its carrying capacity (K), where growth stabilizes. 3. **Carrying Capacity (K)**: - The carrying capacity (K) is the maximum population size that an environment can sustain indefinitely without being degraded. In the logistic growth model, this is represented by a horizontal line on the graph. 4. **Mathematical Representation**: - The logistic growth can be mathematically represented by the equation: \[ \frac{dn}{dt} = rN \left(1 - \frac{N}{K}\right) \] - Here, \( \frac{dn}{dt} \) is the change in population size over time, \( r \) is the intrinsic growth rate, \( N \) is the current population size, and \( K \) is the carrying capacity. 5. **Conclusion**: - The sigmoid/logistic growth curve is characterized by its S-shape and the presence of the carrying capacity, which indicates the limit of resources available for the population.
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