Modelo logístico — tamanho
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
About this calculator
The logistic population size calculator estimates the number of individuals in a population over time, considering environmental limits. It uses the formula N(t) = K/(1+((K-N₀)/N₀)·e^(-rt)), where K is the environment's carrying capacity, N₀ is the initial population, r is the growth rate, and t is time. This model is useful for predicting population growth in ecology, biology, and resource management.
The formula assumes exponential growth initially, slowing as the population approaches carrying capacity (K), reflecting real-world constraints like resource scarcity or competition. To use the calculator, input values for K, N₀, r, and the desired time (t). The result shows the expected population at that time, accounting for these limits.
This calculation is applied in conservation studies, protected area planning, and environmental impact analysis. For example, it can predict the growth of an introduced species or the recovery of a population after an ecological disaster. However, note that the model simplifies factors like migration, environmental changes, or interspecies interactions, which may affect real-world outcomes.
Cautions: Accuracy depends on appropriate choices for K and r, which vary by environment and species. Overestimated K values may lead to optimistic projections, while poorly estimated growth rates (r) reduce reliability. Use the model for general comparisons, not precise predictions.
Frequently asked questions
What is carrying capacity (K) in the logistic model?
Carrying capacity (K) represents the maximum number of individuals the environment can sustain indefinitely, considering resources like food, space, and environmental factors.
How does the growth rate (r) affect the results?
The growth rate (r) determines how quickly the population approaches carrying capacity. Higher r values result in faster initial growth.
When to use the logistic model instead of the exponential model?
Use the logistic model when the population faces environmental limits. The exponential model is better for populations in ideal conditions without constraints.
Is the logistic model valid for all species?
No, as the model assumes ideal conditions. Species with complex behaviors like migration or changing carrying capacity may require adjustments to the calculation.