Step 1: Definition.
Logistic growth describes population growth when resources are limited. Initially, population grows rapidly (exponential), but later slows down and stabilizes at a maximum value called the carrying capacity (K).
Step 2: Logistic growth curve.
\[\begin{array}{rl} \bullet & \text{Shape: S-shaped (sigmoid curve).} \\ \bullet & \text{Phases:} \\ \bullet & \text{Lag phase – slow growth.} \\ \bullet & \text{Exponential phase – rapid growth.} \\ \bullet & \text{Deceleration phase – growth slows due to competition.} \\ \bullet & \text{Stationary phase – population stabilizes at carrying capacity.} \\ \end{array}\]
Step 3: Logistic growth equation.
\[
\frac{dN}{dt} = rN \left( \frac{K - N}{K} \right)
\]
Where:
\[\begin{array}{rl} \bullet & \text{\( \frac{dN}{dt} \) = rate of population growth.} \\ \bullet & \text{\( r \) = intrinsic rate of natural increase.} \\ \bullet & \text{\( N \) = population size at time \( t \).} \\ \bullet & \text{\( K \) = carrying capacity of the environment.} \\ \end{array}\]
Step 4: Conclusion.
Logistic growth is more realistic than exponential growth as it considers limited resources and carrying capacity.
Student to attempt either option (A) or (B):
(A) How is the interaction between Ophrys and its specific bee pollinator one of the best examples of co-evolution? Explain.
OR
(B) Arrange the given important steps of decomposition in their correct order of occurrence in the breakdown of complex organic matter and explain the fourth step in the process.