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Population growth and carrying capacity

The population group can grow rapidly if there is sufficient resource, but its growth may slow down in a limited environment. We differentiate between the growth rate and the actual increase.

Related experiment: Population growth and carrying capacity →
Population growth and carrying capacity
Population growth and carrying capacity: simulation view →

Meaning and mechanism

The growth model assumes that the per capita growth rate, denoted as ‘r’, is constant. Even if the population increases at the same rate, the total increase in population over the same period will become larger.

In a logistic model, as the population size approaches the environment's carrying capacity [K], the rate of per capita increase decreases. Resource limitation is represented as a simple dependence on population density.

Relationships and conditions

The index model is dN/dt=rN, and the logistic model is dN/dt=rN(1−N/K). In the logistic model, the absolute growth rate is largest near N=K/2.

The actual K value can vary depending on the season, habitat, and generation. The defined K value for a model is a reference point, assuming a constant environment, and is not the permanent maximum population.

What to observe in the simulation

In the logistic model, the increase rate per individual decreases as N increases. Read the time curve and the growth rate according to N together.

It is an analysis formula for the number of consecutive populations in a closed group with a constant r·K. The calculated value may not be an integer. We omit the contingencies of birth and death, immigration and exodus, age structure, delayed resource effects, and actual species-specific figures. The conversion value of one point is fixed for each condition and only a maximum of 1200 points are drawn.

Key relationships and symbols

N index=N₀eʳᵗ · Nlogistic=K/[1+(K/N₀−1)e⁻ʳᵗ]

Symbols and units used in the formulas
SymbolMeaningUnit
NPopulation size individuals
rPer capita net growth rateTime⁻¹
KCarrying capacity individuals

Worked example

Which N has the largest growth rate in the logistic model?

dN/dt=rN(1−N/K) is an open downward quadratic for N. It is maximum at N=K/2 and 0 at N=K.

Common misconceptions

  • The state where the logistic model’s increase is fastest is not when it has completely reached K.

Explore this concept through experiments

References

OpenStax · Biology 2e (English)