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Simpson's Index D = 1 - Σ (n_i / N)^2

Simpson's Index Formula:

\[ D = 1 - \sum \left( \frac{n_i}{N} \right)^2 \]

e.g., 10,5,3,2

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1. What is Simpson's Index?

Simpson's Diversity Index (D) is a measure of biodiversity that quantifies the probability that two individuals randomly selected from a sample will belong to the same species. It ranges from 0 (no diversity) to 1 (infinite diversity).

2. How Does the Calculator Work?

The calculator uses Simpson's Index formula:

\[ D = 1 - \sum \left( \frac{n_i}{N} \right)^2 \]

Where:

Explanation: The index measures the probability that two randomly selected individuals belong to different species. Higher values indicate greater diversity.

3. Importance of Biodiversity Measurement

Details: Simpson's Index is widely used in ecology, conservation biology, and environmental science to assess species diversity in communities and monitor ecosystem health.

4. Using the Calculator

Tips: Enter the count of individuals for each species as comma-separated values (e.g., "10,5,3,2" for 4 species with respective counts). All values must be positive integers.

5. Frequently Asked Questions (FAQ)

Q1: What does Simpson's Index measure?
A: It measures the probability that two randomly selected individuals from a sample belong to different species, indicating species diversity.

Q2: What is the range of Simpson's Index?
A: The index ranges from 0 to 1, where 0 indicates no diversity (all individuals belong to one species) and values approaching 1 indicate high diversity.

Q3: How does Simpson's Index differ from Shannon Index?
A: Simpson's Index is more sensitive to dominant species, while Shannon Index gives more weight to rare species. Both are complementary diversity measures.

Q4: When is Simpson's Index most useful?
A: It's particularly useful when the focus is on dominant species and their impact on community structure, common in conservation and management studies.

Q5: Are there limitations to Simpson's Index?
A: It may be less sensitive to species richness compared to other indices and can be influenced by sample size and sampling methodology.

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