Which should be considered more realistic growth model?a)Verhulst-Pear...
Verhulst-Pearl logistic model of growth is more realistic growth model in comparison to exponential model of growth. Population growing in a habitat having limited resources shows sigmoid curve like growth before reaching to carrying capacity.
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Which should be considered more realistic growth model?a)Verhulst-Pear...
Verhulst-Pearl logistic growth
Verhulst-Pearl logistic growth is a more realistic growth model compared to geometric and exponential growth. This model takes into account the limitations of resources in an environment, which can restrict the population growth rate.
1. Introduction
Verhulst-Pearl logistic growth is based on the concept that populations cannot grow indefinitely due to limited resources, such as food, water, or space. As the population size approaches the carrying capacity of the environment, the growth rate starts to decrease until it reaches a stable equilibrium.
2. Logistic growth equation
The Verhulst-Pearl logistic growth model is described by the logistic growth equation:
dN/dt = rN(K - N)/K
where:
- dN/dt represents the rate of change in population size over time
- r is the intrinsic growth rate of the population
- N is the population size at a given time
- K is the carrying capacity of the environment
3. Explanation
- Initially, when the population size is small (N < k),="" the="" growth="" rate="" is="" close="" to="" exponential="" growth,="" as="" resources="" are="" />
- As the population size approaches the carrying capacity (N ≈ K), the growth rate starts to slow down due to limited resources. This is because the available resources cannot support unlimited growth.
- When the population reaches the carrying capacity, the growth rate becomes zero, and the population size stabilizes. At this point, the birth rate equals the death rate, and the population remains relatively constant.
4. Real-world application
The Verhulst-Pearl logistic growth model is applicable to various biological populations, such as animal populations, bacterial colonies, and human populations. It provides a more accurate representation of how populations grow and stabilize in real-world environments.
Conclusion
In conclusion, the Verhulst-Pearl logistic growth model should be considered as a more realistic growth model compared to geometric and exponential growth. It takes into account the limitations of resources in an environment, leading to a more accurate representation of population growth and stabilization.