Question:

Describe different population growth models in brief.

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Exponential growth is idealized and not typically seen in nature due to resource limitations, while logistic growth is more common as it accounts for environmental limits.
Updated On: Sep 3, 2025
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Solution and Explanation

Step 1: Introduction to Population Growth Models.
Population growth models are used to describe how populations grow and change over time. These models are essential in ecology for understanding species dynamics and environmental impact.
Step 2: Types of Population Growth Models.
1. Exponential Growth Model (J-shaped Curve): - This model assumes unlimited resources, with a population growing at a constant rate. - The growth rate is proportional to the current population size, resulting in rapid, unrestricted growth. - Formula: \[ N(t) = N_0 e^{rt} \] where \( N(t) \) is the population size at time \( t \), \( N_0 \) is the initial population, \( r \) is the growth rate, and \( e \) is Euler’s number. 2. Logistic Growth Model (S-shaped Curve): - This model considers environmental limits (carrying capacity). - The population grows exponentially at first, but as it approaches the carrying capacity of the environment, the growth rate slows down and stabilizes. - Formula: \[ N(t) = \frac{K N_0}{N_0 + (K - N_0) e^{-rt}} \] where \( K \) is the carrying capacity of the environment. 3. Allee Effect: - This model explains a population’s growth when the population size is low and the growth rate is negatively impacted. - The Allee effect shows that at low densities, individuals may not be able to find mates, decreasing the population's growth rate.
Step 3: Conclusion.
These models provide insight into how populations grow in different environments and under different conditions. The logistic model is more realistic as it accounts for environmental carrying capacities.
Final Answer: \[ \boxed{\text{The main population growth models include exponential growth, logistic growth, and the Allee effect.}} \]
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