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.
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
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.
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.
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.
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
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.
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.
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.
Used in These Calculators
Calculators that build on or apply the concepts from this page:
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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