P(n)=2n
The logistic growth model is a mathematical formula frequently used to predict population fluctuations in a community. It takes into account factors like carrying capacity and growth rate to model how a population grows over time.
Logistic Model
The exponential model of population growth applies when a population grows at a constant rate without any limiting factors. It assumes unlimited resources and ideal conditions for growth. While suitable for short-term predictions in some situations, this model often oversimplifies real-world population dynamics.
Reverend Thomas Malthus developed the concept of Exponential Growth (another name for this is Malthusian growth model.) However the mathematical Exponent function was already know, but not applied to population growth and growth constraints. Exponential Decay is a natural extension of Exponential Growth
remains constant
An exponential model has a j-shaped growth rate that increases dramatically over a period of time with unlimited resources. A logistic model of population growth has a s-shaped curve with limited resources leading to a slow growth rate.
A growth curve is a chart model showing the growth and evolution of an entity over time. A population growth curve charts the growth of a population over a certain amount of time.
Ecological model
1. Is based on the geometric model of population growth 2. Does not incorporate density dependence 3. Extend model to two species-populations
follow the society of light
the answer must be exponential growth model.
Ecological model.