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ecology

Lotka-Volterra Predator-Prey Calculator

Compute the rate of change for predator and prey populations using the classic Lotka-Volterra equations. Enter population sizes and interaction parameters to model predator-prey dynamics.

Reviewed by Christopher FloiedPublished Updated

This free online lotka-volterra predator-prey calculator provides instant results with no signup required. All calculations run directly in your browser — your data is never sent to a server. Enter your values below and see results update in real time as you type. Perfect for everyday calculations, homework, or professional use.

Minimum: 0

Current number of prey individuals

Minimum: 0

Current number of predator individuals

Range: 0 – 5

Intrinsic growth rate of prey in absence of predators

Range: 0 – 1

Rate at which predators consume prey (per predator per prey)

Range: 0 – 1

Rate at which predators increase by consuming prey (conversion efficiency)

Range: 0 – 5

Natural mortality rate of predators in absence of prey

Results

Prey Growth Rate (dN/dt)

-10 individuals/time

Predator Growth Rate (dP/dt)

8 individuals/time

Prey Equilibrium

20 individuals

Predator Equilibrium

10 individuals

How to Use This Calculator

1

Enter your input values

Fill in all required input fields for the Lotka-Volterra Predator-Prey Calculator. Most fields include unit selectors so you can work in your preferred unit system — metric or imperial, whichever matches your problem.

2

Review your inputs

Double-check that all values are correct and that you have selected the right units for each field. Incorrect units are the most common source of calculation errors and can produce results that are off by factors of 2, 10, or more.

3

Read the results

The Lotka-Volterra Predator-Prey Calculator instantly computes the output and displays results with units clearly labeled. All calculations happen in your browser — no loading time and no data sent to a server.

4

Explore parameter sensitivity

Try adjusting individual input values to see how the output changes. This is a quick and effective way to develop intuition about how different parameters influence the result and to identify which inputs have the largest effect.

When to Use This Calculator

  • Use the Lotka-Volterra Predator-Prey Calculator when you need accurate results quickly without the risk of manual computation errors or unit conversion mistakes.
  • Use it to verify calculations made by hand or in spreadsheets — an independent check can catch errors before they lead to costly decisions.
  • Use it to explore how changing input parameters affects the output — a quick way to develop intuition and identify the most influential variables.
  • Use it when collaborating with others to ensure everyone is working from the same numbers and applying the same assumptions.

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About Lotka-Volterra Predator-Prey Calculator

The Lotka-Volterra Predator-Prey Calculator models the interaction between predator and prey populations using the classical Lotka-Volterra equations. Developed independently by Alfred Lotka and Vito Volterra in the 1920s, these equations describe how prey populations grow exponentially in the absence of predators, while predators decline without prey. When both are present, the model produces characteristic oscillations: prey numbers rise, enabling predator numbers to increase, which then reduces prey, causing predator decline, completing the cycle. This calculator computes the instantaneous rates of change and equilibrium populations, providing insight into the dynamics of ecological interactions.

The Math Behind It

The Lotka-Volterra model consists of two coupled differential equations. The prey equation dN/dt = alpha*N - beta*N*P describes prey population change as the difference between natural growth (alpha*N) and losses to predation (beta*N*P). The predator equation dP/dt = delta*N*P - gamma*P describes predator population change as the difference between growth from consuming prey (delta*N*P) and natural mortality (gamma*P). The model produces periodic oscillations with the prey cycle leading the predator cycle by a quarter period. At equilibrium, dN/dt = 0 and dP/dt = 0 simultaneously. Solving gives N* = gamma/delta and P* = alpha/beta. These equilibrium values depend only on the rate parameters, not on initial population sizes. The classical model makes several simplifying assumptions: prey grow exponentially without predators (no carrying capacity), predators have a linear functional response (consumption proportional to prey density), predators have no satiation point, the environment is homogeneous, and there is no immigration or emigration. More realistic extensions include the logistic Lotka-Volterra model (adding prey carrying capacity), type II and type III functional responses (predator satiation), and multi-species models. The Rosenzweig-MacArthur model, which adds a carrying capacity to prey and a saturating functional response, often produces more realistic dynamics including stable limit cycles and paradox of enrichment. The Lotka-Volterra framework has been applied far beyond ecology, including to economic competition between firms, chemical reaction kinetics, and epidemiological models. Despite its simplicity, it captures the fundamental insight that coupled biological interactions naturally generate oscillatory dynamics.

Formula Reference

Lotka-Volterra Prey Equation

dN/dt = αN - βNP

Variables: α = prey growth rate, N = prey population, β = predation rate, P = predator population

Lotka-Volterra Predator Equation

dP/dt = δNP - γP

Variables: δ = predator growth from consumption, N = prey, P = predators, γ = predator death rate

Worked Examples

Example 1: Rabbit and Fox Dynamics

A meadow has 100 rabbits and 20 foxes with parameters: α=0.1, β=0.01, δ=0.005, γ=0.1.

Step 1:Prey rate: dN/dt = 0.1*100 - 0.01*100*20 = 10 - 20 = -10
Step 2:Predator rate: dP/dt = 0.005*100*20 - 0.1*20 = 10 - 2 = 8
Step 3:Prey equilibrium: N* = γ/δ = 0.1/0.005 = 20
Step 4:Predator equilibrium: P* = α/β = 0.1/0.01 = 10

The prey population is declining at 10 individuals/time while predators are growing at 8 individuals/time. Equilibrium is at 20 prey and 10 predators.

Example 2: Balanced Ecosystem

An ecosystem at equilibrium with α=0.2, β=0.02, δ=0.01, γ=0.3. Find the equilibrium populations.

Step 1:Prey equilibrium: N* = γ/δ = 0.3/0.01 = 30
Step 2:Predator equilibrium: P* = α/β = 0.2/0.02 = 10
Step 3:Verify dN/dt = 0.2*30 - 0.02*30*10 = 6 - 6 = 0
Step 4:Verify dP/dt = 0.01*30*10 - 0.3*10 = 3 - 3 = 0

The equilibrium populations are 30 prey and 10 predators, confirmed by zero growth rates.

Common Mistakes & Tips

  • !Confusing the predation rate (beta) with the predator growth rate (delta). Beta is prey lost per interaction; delta is predator gained per interaction. Delta is typically much smaller than beta.
  • !Expecting the model to produce stable populations when initial conditions are not at equilibrium. The classic model produces perpetual oscillations, not convergence to a steady state.
  • !Using unrealistically high predation rates that drive the prey to extinction in one time step, outside the model's continuous-time assumptions.

Related Concepts

Carrying Capacity

The maximum population without predation, which the logistic extension of Lotka-Volterra incorporates as a prey self-limitation term.

Logistic Growth

A more realistic single-species model where growth slows as population approaches carrying capacity, often combined with Lotka-Volterra for predator-prey systems.

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Frequently Asked Questions

Do the populations reach a stable equilibrium?

In the classic Lotka-Volterra model, the equilibrium is neutrally stable. Populations oscillate around the equilibrium forever without converging. Adding realistic features like prey carrying capacity can create a stable equilibrium or stable limit cycles.

What do the equilibrium values mean?

The prey equilibrium (gamma/delta) is the prey population at which predators neither grow nor decline. The predator equilibrium (alpha/beta) is the predator population at which prey neither grow nor decline. These are the centre of the oscillations.

How do I interpret negative dN/dt or dP/dt?

A negative rate of change means the population is declining at that instant. For prey, this means predation exceeds reproduction. For predators, it means mortality exceeds the benefit from consuming prey.

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