Simpson Diversity Index Calculator
Calculate Simpson's Diversity Index (1-D), Simpson's Reciprocal (1/D), and evenness for ecological communities.
Simpson Diversity Index Calculator
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Formula: D = SUM(ni(ni-1)) / N(N-1) or D = SUM(pi^2)
Worked example โ D=0.209 | 1-D=0.791 | 1/D=4.79 | Evenness=0.80 | High diversity
Formula
D = SUM(ni(ni-1)) / N(N-1) or D = SUM(pi^2)
Simpson's Index D is the probability that two randomly selected individuals belong to the same species. The finite form uses ni(ni-1)/N(N-1) for exact counts, while the proportion form uses SUM(pi^2). Diversity = 1-D (higher = more diverse). Reciprocal = 1/D (effective dominant species count). Evenness = (1/D)/S where S is species richness.
Worked Examples
Example 1: Coral Reef Fish Community
Problem:A coral reef transect counts 6 fish species: Clownfish (25), Damselfish (20), Wrasse (15), Parrotfish (10), Angelfish (5), Goby (5). Calculate all Simpson indices.
Solution:N = 25+20+15+10+5+5 = 80 D (finite) = [25(24)+20(19)+15(14)+10(9)+5(4)+5(4)] / [80(79)] D = [600+380+210+90+20+20] / 6320 = 1320/6320 = 0.2089 1-D = 0.7911 (79% chance two individuals differ) 1/D = 4.79 (effective dominant species) Evenness = 4.79/6 = 0.798
Result:D=0.209 | 1-D=0.791 | 1/D=4.79 | Evenness=0.80 | High diversity
Example 2: Disturbed vs Pristine Habitat
Problem:Disturbed site: 90, 5, 3, 2 (4 spp). Pristine: 25, 25, 25, 25 (4 spp). Compare diversity.
Solution:Disturbed: D = SUM(pi^2) = 0.90^2 + 0.05^2 + 0.03^2 + 0.02^2 = 0.8138 1-D = 0.186; 1/D = 1.23; Evenness = 1.23/4 = 0.31 Pristine: D = 4 x 0.25^2 = 0.25 1-D = 0.75; 1/D = 4.00; Evenness = 4/4 = 1.00 Pristine is 4x more diverse (1-D: 0.75 vs 0.19)
Result:Disturbed: 1-D=0.19, 1/D=1.23 | Pristine: 1-D=0.75, 1/D=4.00 | Same richness, vastly different diversity
Frequently Asked Questions
What is the Simpson Diversity Index?
The Simpson Diversity Index measures the probability that two individuals randomly selected from a community belong to the same species. The original Simpson's Index (D) ranges from 0 to 1, where 0 represents infinite diversity and 1 represents no diversity (only one species). Because this is counterintuitive, ecologists commonly use two derived forms: Simpson's Diversity Index (1-D), where higher values mean more diversity, and Simpson's Reciprocal Index (1/D), which represents the effective number of dominant species. The index was introduced by Edward Simpson in 1949 and is one of the most robust diversity measures in ecology.
What is the difference between Simpson's D, 1-D, and 1/D?
Simpson's D (concentration index) is the probability that two randomly chosen individuals belong to the same species; it increases as diversity decreases, which is counterintuitive. Simpson's Diversity Index (1-D), also called the Gini-Simpson Index, flips this so higher values mean higher diversity, ranging from 0 to 1. Simpson's Reciprocal Index (1/D) converts to effective species count, ranging from 1 to S (total species). For example, if D=0.25, then 1-D=0.75 (75% chance two random individuals differ), and 1/D=4 (community behaves like one with 4 equally abundant species). Most ecological studies report 1-D or 1/D.
How does Simpson Index differ from Shannon Index?
Both measure species diversity but weight species differently. Simpson's Index gives more weight to dominant (common) species because it uses squared proportions (pi^2), making it relatively insensitive to rare species additions. Shannon's Index uses pi x ln(pi), giving more weight to rare species. In practice: if you add a rare species with 1 individual to a community of 1,000, Shannon's H' changes noticeably but Simpson's D barely moves. Simpson's Index is considered more robust with small sample sizes and is easier to interpret in its reciprocal form (1/D = effective dominant species). Shannon's is preferred when rare species are ecologically important.
What is a good Simpson Diversity Index value?
For the 1-D form, values closer to 1 indicate higher diversity. A value of 0.9 or above is generally considered high diversity, meaning there is a 90%+ chance that two randomly selected individuals belong to different species. Values of 0.7-0.9 represent moderate diversity. Values below 0.5 suggest low diversity with one or two dominant species. For the reciprocal form (1/D), values should be compared to species richness; a value close to the total number of species indicates high evenness. Agricultural monocultures approach 0 (1-D) or 1 (1/D), while tropical forests can exceed 0.95 (1-D) or have 1/D values of 20+.
When should I use finite vs infinite population formulas?
The finite population formula D = SUM(ni(ni-1)) / (N(N-1)) is appropriate when you have counted every individual in the community (census data) and the sample size is relatively small. It corrects for the fact that once an individual is selected, it cannot be selected again. The infinite population formula D = SUM(pi^2) assumes sampling with replacement and is appropriate for very large populations or when using proportional abundance data. For most field ecology work with sample sizes under a few hundred, the finite formula is preferred. The difference between formulas becomes negligible when N is large (>1000), but can be significant for small samples.
How is evenness derived from the Simpson index, and what does it tell you?
The evenness reported here is the reciprocal index divided by observed species richness, (1/D)/S. Because 1/D is the effective number of abundant species, dividing by the number actually counted gives a ratio between roughly 1/S and 1. A value near 1 means abundances are spread almost equally across species; a low value means a few species dominate even though many are present. Evenness separates the two components that richness alone conflates.
Can the index be computed from biomass or percentage cover instead of individual counts?
Yes, for the proportional form. Substituting each species' share of total biomass, basal area or percentage cover for its share of individuals still gives a valid concentration term, and this is standard practice for plants and for colonial organisms where counting individuals is meaningless. The finite-population version cannot be used that way, because its ni(ni-1) term assumes whole countable individuals drawn without replacement. Always state which currency you used, since cover-based and count-based values are not comparable.
How does the reciprocal Simpson index fit into the family of Hill numbers?
Hill numbers express diversity as an effective number of species at a chosen order q, which sets how strongly abundance is weighted. At q of zero every species counts alike and the result is plain species richness; at q of one it is the exponential of Shannon entropy; at q of two it is the reciprocal Simpson index reported here. Raising q shifts emphasis toward the dominant species, so reporting the three orders together summarises richness and dominance at once.
How does sampling effort affect the Simpson index compared with species richness?
Observed richness climbs steadily as you sample more, since every extra sweep can turn up a new rare species, and it rarely reaches an asymptote in practice. The Simpson index stabilises far sooner because it is driven by the common species, which are captured early in any sample. That makes it a more comparable statistic across surveys of unequal effort, although standardising sample size or using rarefaction remains the safer practice.
What is the right way to compare Simpson diversity between two communities?
Compare the reciprocal form, 1/D, rather than D or 1 minus D, because effective numbers behave linearly: a community with 1/D of 8 is twice as diverse in the order-two sense as one at 4, whereas the gap between 1-D values of 0.95 and 0.90 cannot be read as a ratio. Sample both communities with comparable effort, and attach uncertainty by bootstrapping or resampling, since a single point estimate hides considerable sampling variation.
References
Background & Theory
History
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer ยท Editorial policy
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