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🧬 Ecology

Population Growth

Model how a population grows: unlimited exponential growth, or logistic growth that levels off at the carrying capacity. Solve for the population size, starting size, growth rate, time or capacity.

EcologyGrowth ModelsExponential
Inputs
Model
Click Solve next to the quantity you want to find: it moves into the result below. Then fill in the others. The growth rate r is per time unit chosen below (use a negative r for decline in the exponential model).
Input examples
per hour
hours

How do Populations Grow?

When food and space are unlimited, every individual reproduces at the same rate, so growth is proportional to the population: exponential growth. Bacteria in fresh broth and invasive species in a new habitat grow this way — at first.

Real environments have limits. In the logistic model growth slows as the population approaches the carrying capacity K, producing the characteristic S-shaped curve. Growth is fastest at N = K/2.

r > 0population grows
r < 0population declines
ln 2 / rthe doubling time
N = K/2fastest logistic growth

Live Graph

exponential
population N(t)
exponential for comparison / capacity K
your time
Result
Enter the values above

Doubling Times

Organism / populationDoubling timer
E. coli (ideal conditions)20 min2.08 /h
Baker’s yeast90 min0.46 /h
Human cells in culture~24 h0.029 /h
Rabbits (no predators)~6 months1.4 /yr
World population (2020s)~80 years0.009 /yr

Key Relations

Exponential Growth

The growth rate per individual, r, is constant. The population multiplies by the same factor in every equal time step.

Example: 
Logistic Growth

The factor (1 − N/K) slows growth as resources run out. Near zero it behaves exponentially, near K growth stops.

Example: maximum growth rate rK/4 occurs at N = K/2.
Doubling Time & Rule of 70

A population growing at 1% per year doubles in about 70 years; at 7% in about 10 years.

Example: 

Sources & Verification

References
  1. N. J. Gotelli, A Primer of Ecology, 4th ed., Sinauer, 2008 — chapters “Exponential Population Growth” and “Logistic Population Growth”.