Diversity Calculators
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Components of Diversity
Species richness (S): count of species; strongly affected by sampling effort. Species evenness (J or E): how equally individuals are distributed among species; J = H'/H'_max (Pielou's J; 0–1). Diversity indices integrate both: Shannon H' = −Σpᵢ ln(pᵢ); Simpson 1−D = 1 − Σpᵢ²; Hill numbers: ⁰D = S; ¹D = e^H'; ²D = 1/Simpson D.
Alpha, Beta, Gamma Diversity
Alpha (α): within-community diversity. Beta (β): difference in species composition between communities. β = γ/α (multiplicative); β = γ − α (additive). Whittaker's β = γ/α − 1. Sørensen dissimilarity = 1 − QS; Bray-Curtis dissimilarity (for abundance data). Gamma (γ): total diversity of a landscape or region = product of α and β.
Shannon Index
H' = −Σ pᵢ ln(pᵢ). H' ranges 0 to ln(S). H' = 0: monoculture. H' = ln(S): perfect evenness. Typical H' values: simple communities 0.5–2.0; diverse communities 2.5–4.0+ (natural log). Pielou's evenness: J = H'/ln(S).
Glossary
Frequently Asked Questions
Species diversity has two components: Richness (S): how many species are present. Evenness: how equally individuals are distributed among those species. A community can have high richness but low evenness (many species but one dominates) or low richness but high evenness. Diversity indices integrate both: Shannon H' = −Σpᵢ ln(pᵢ): emphasizes rare species; widely used in ecology. Simpson 1−D = 1 − Σpᵢ²: emphasizes common species; ranges 0–1. Margalef D = (S−1)/ln(N): corrects richness for sample size. Pielou's J = H'/H'_max: evenness index (0 = one dominant species; 1 = equal abundance).
The three levels of biodiversity defined by Whittaker (1960): Alpha diversity (α): species diversity within a single community or habitat patch; measured by richness (S), Shannon H', Simpson 1−D, etc. Beta diversity (β): the degree of species turnover or change in composition between communities; high β = communities are very different; measured by Sørensen dissimilarity, Jaccard, Bray-Curtis. Gamma diversity (γ): total species diversity of a landscape or region encompassing multiple habitats; γ = α × β (multiplicative). Additive: γ = α + β. Conservation application: protecting β diversity means protecting different habitat types, not just maximizing within-habitat diversity.
Choice depends on research question and data type: Species richness (S): simplest; directly interpretable; strongly sampling-effort dependent → use rarefaction for fair comparisons. Shannon H': general diversity measure; most widely used in ecology; moderate sensitivity to rare species; compatible with information theory; report alongside Pielou's J for evenness. Simpson 1−D or 1/D: less sensitive to rare species; robust to sampling error; 1/D (effective number of species) is most intuitive. Margalef D: historical use in aquatic ecology; use when only S and N are available. Modern recommendation: use Hill numbers (⁰D, ¹D, ²D) — a unified diversity family with intuitive 'effective species' interpretation. Report multiple indices for complete picture.
The biodiversity-ecosystem function (BEF) relationship is one of ecology's best-supported principles: More diverse communities tend to: produce more biomass (overyielding — species use different resources, reducing competition); utilize resources more completely; resist invasion (no empty niche for invaders); recover faster from disturbance (more species with different stress tolerances → functional redundancy). Experiments: Cedar Creek grassland experiment (Tilman) → doubling species richness → 2.7-fold increase in productivity; diversity also increased stability of production over years. Mechanisms: resource partitioning; facilitation; selection effect (more diverse communities more likely to include highly productive dominant species). Applied: agricultural polycultures can outperform monocultures; diverse urban forests more resilient to pests.