A population increasing according to logistic growth normally has three phases in which the population is near to its limiting population due to intra-species conflict.
What is logistic growth?
- In 1845, Pierre Verhulst used the term logistic growth to describe a type of population expansion.
- A graph with time on the x axis, and population y axis, can be used to depict it.
- The curve's exact form is determined by carrying capacity and maximum growth rate, however all logistic growth models are s-shaped.
Phases of logistic growth curve:-
- The beginning population, carrying capacity, and maximum population growth rate are all factors in a logistic growth model.
- The beginning population is self-explanatory
- the carrying capacity is the maximum population that can live in the environment
- and the maximum rate of growth is how quickly the population can develop if no limitations exist
- for example, a rabbit population can grow a lot faster than a human population
The First Stage of Logistic Growth
- A logistic growth model's early phase is generally steady or flat over time.
Logistic Growth in the Middle Phase
- The pace of growth may alter beyond the first period, based on the connection between the beginning population and the carrying capacity.
- The population grows fast if the original population is substantially lower than the carrying capacity.
- If the population is significantly bigger than the carrying capacity, the population will rapidly decline, for example, after some ecological devastation reduces the carrying capacity.
- The population will be steady if the original population is near to carrying capacity.
Logistic Growth's Final Stage
- When the population reaches or approaches carrying capacity, the final phase of logistic expansion occurs.
- Until the carrying capacity changes, the population stabilizes at this stage.
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