Simpson Diversity Index
Probability two random individuals differ in species.
Formula
Variables
How it works
Simpson Diversity Index measures how likely it is that two individuals chosen at random from the same community belong to different species. The term \(\sum p_i^2\) adds up the probabilities that both picks come from the same species, so subtracting from 1 leaves the probability of a mismatch. It is especially sensitive to dominant species, which is why communities with strong dominance by one or a few species get lower diversity scores.
When to use it
Use this when comparing biodiversity across habitats, sample plots, or time points in ecology and conservation studies. It is useful when you want a single number that reflects both species richness and how evenly individuals are distributed among species.
Worked example, step by step
Suppose a sample contains 50 organisms: 20 of species A, 15 of species B, 10 of species C, and 5 of species D. Step 1: Find each proportion. \(p_A = 20/50 = 0.4\) \(p_B = 15/50 = 0.3\) \(p_C = 10/50 = 0.2\) \(p_D = 5/50 = 0.1\) Step 2: Square each proportion. \(p_A^2 = 0.16\) \(p_B^2 = 0.09\) \(p_C^2 = 0.04\) \(p_D^2 = 0.01\) Step 3: Add the squared proportions. \(\sum p_i^2 = 0.16 + 0.09 + 0.04 + 0.01 = 0.30\) Step 4: Subtract from 1. \(D = 1 - 0.30 = 0.70\) Final answer: the Simpson Diversity Index is \(0.70\), meaning there is a 70% chance that two randomly chosen individuals are from different species.
Common mistakes to avoid
- Using the raw species counts instead of converting them to proportions first
- Forgetting to square each proportion before summing
- Confusing Simpson diversity index with Simpson dominance or the reciprocal form of the index
Did You Know?
Simpson's index measures biodiversity by the chance two random individuals belong to different species.
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