In Biodiversity and Human Impact you saw why diversity matters. To compare two places, ecologists need a number. Counting species (richness) is a start, but a meadow with 10 species where one makes up 95% of the plants is less diverse than one where all 10 are common. Simpson's diversity index captures both.
Key idea
Why it works
Worked examples
Worked example: Two meadows
- A: each fraction is 0.25; $\sum (0.25)^2 = 4 \times 0.0625 = 0.25$; $D = 1 - 0.25 = 0.75$.
- B: fractions 0.85, 0.05, 0.05, 0.05; $0.7225 + 3(0.0025) = 0.73$; $D = 1 - 0.73 = 0.27$.
Answer: A: D = 0.75; B: D = 0.27. Same richness, but A is far more even, so far more diverse.
Worked example: Adding a species
- Each fraction is now 30/90 = 1/3.
- $\sum = 3 \times (1/3)^2 = 1/3$.
- $D = 1 - 1/3 \approx 0.67$.
Answer: About 0.67: more richness raised D.
In the field, ecologists count individuals in quadrats or along transects, then compute D for each site. Comparing D before and after a disturbance, or between a protected and an unprotected area, turns "it looks less diverse" into a number that can be tracked. Two cautions: D depends on how thoroughly a site was sampled, and it says nothing about which species are present, so a site full of invasive species can still score high.
Common mistake