The logistic model<span> takes the shape of a sigmoid curve and describes the </span>growth<span> of a</span>population<span> as exponential, followed by a decrease in </span>growth<span>, and bound by a carrying capacity due to environmental pressure</span>
<u>The logistics growth model </u><u>is a realistic representation of population growth</u>
<h2>Explanation:</h2>
Environmental scientists use two models to describe populations growth over the passage of time.
The exponential growth model
The logistic growth model
Logistic population growth occurs when the growth rate decreases as the population reaches carrying capacity. We already know that carrying capacity is the maximum number of individuals in a population that the environment can support. So whenever the population approaches carrying capacity, its growth rate will start to slow. Logistic growth model is represented by mathematical equations therefore it is more realistic model.
