🌿 Biodiversity metrics
📘 Overview
Simpson’s evenness index (E1/D) measures how evenly individuals are distributed among species. It derives from Simpson’s diversity index (λ or D). Shannon-Weiner diversity index (H′) quantifies uncertainty in predicting species identity of a random individual; higher values indicate higher diversity. Both are cornerstones of community ecology.
⏳ Historical development
Simpson (1949) proposed his index to measure concentration when individuals are classified. Shannon & Weaver (1949) adapted information entropy to ecological diversity. Later, Pielou (1966) introduced evenness (J′) based on Shannon. Simpson’s evenness (E) became popular as a complement to diversity indices.
🔬 Significance: Used in conservation biology, environmental impact assessment, and ecosystem health monitoring. They help distinguish species richness from evenness – critical when richness alone misleads.
🧮 Simpson’s Evenness E1/D
Methodology: Based on Simpson’s index D = Σ pᵢ². The effective number of species (Hill number) = 1/D. Evenness = (1/D) / S, where S = species richness.
E1/D = (1/D) / S
pᵢ = proportion of individuals in species i, nᵢ = count, N = total individuals.
📊 Shannon-Weiner H′
Methodology: H′ = - Σ pᵢ · ln(pᵢ). It reflects both richness and evenness. Maximum H′ = ln(S). Pielou’s evenness J′ = H′ / ln(S).
J′ = H′ / ln(S)
Uses natural log; pᵢ > 0. H′ increases with more species & balanced abundances.
🧪 Live calculator (add/remove species)
Enter abundances (comma separated). Click Calculate to compare indices.
📐 Equations & step-by-step calculation
Simpson’s D & Evenness:
- pᵢ = nᵢ / N
- D = Σ pᵢ²
- Simpson’s diversity (inverse) = 1/D
- Evenness E = (1/D) / S
- Range: near 1 = perfectly even; approaches 1/S if dominated.
Shannon H′ & Evenness:
- H′ = - Σ (pᵢ · ln pᵢ)
- Max H′ = ln(S)
- Pielou’s J′ = H′ / ln(S)
- J′ = 1 means complete evenness.
⚖️ Comparison: Simpson’s Evenness vs Shannon-Weiner
| Aspect | Simpson’s Evenness (E1/D) | Shannon-Weiner (H′ / J′) |
|---|---|---|
| Sensitivity | More weight to dominant species | Moderately sensitive to rare & common species |
| Interpretation | Probability that two individuals belong to different species (evenness adjusted) | Uncertainty / information content |
| Range | 0–1 (evenness); effective species >1 | H′ ≥ 0; J′ 0–1 |
| Best use | Dominance patterns, quick evenness | General diversity & community comparison |
🔎 Worked example
Community B: 96, 1, 1, 1, 1 (S=5, N=100)
Community A: pᵢ=0.2 each. D=5*(0.04)=0.20 → 1/D=5.0 → E=5/5=1.0. H′=-5*(0.2*ln0.2)=1.609, max ln5=1.609 → J′=1.0. Perfect evenness.
Community B: p₁=0.96, others 0.01. D≈0.922 → 1/D≈1.085, E=1.085/5≈0.217. H′≈ -[0.96*ln0.96 +4*(0.01*ln0.01)]≈0.179, J′=0.179/1.609≈0.111. Highly uneven.
📌 Interpretation: Simpson’s evenness drops more dramatically when dominance is extreme, while Shannon’s J′ also reflects low evenness. Both indices agree community B is far less even.
🌱 Ecological diversity indices help balance species richness and evenness for robust conservation decisions.
🌿 Biodiversity Metrics
🍀 Simpson’s Evenness E₁/𝐷
Methodology: Measures how evenly individuals are distributed. Ranges 0→1 (1 = perfectly even). Based on the inverse Simpson index (1/D) divided by species count.
📘 Shannon-Weiner Index H'
Methodology: Quantifies uncertainty in predicting species identity. Higher H' = more diversity. Accounts for richness and evenness.
🔎 Comparison & ecological interpretation
- Simpson’s E → 1 : all species equally abundant.
- Shannon H' higher : more species and/or balanced proportions.
- Example: two communities with same richness can have different H' and E.
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