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  4. /Biodiversity Index Calculator

Biodiversity Index Calculator

Last updated: April 5, 2026

The Biodiversity Index Calculator computes Margalef species richness, Shannon-Wiener H', and Simpson's diversity index from species count, total individuals, and survey area. Provides all three standard biodiversity metrics for ecology field studies and environmental impact assessments.

Calculator

Results

Species Density

10

species/ha

Individual Density

100

individuals/ha

Mean Individuals per Species

10

individuals/species

Margalef Richness Index

1.954

Menhinick Richness Index

1

Results

Species Density

10

species/ha

Individual Density

100

individuals/ha

Mean Individuals per Species

10

individuals/species

Margalef Richness Index

1.954

Menhinick Richness Index

1

In This Guide

  1. 01The Three Indices: Formulas and Interpretation
  2. 02Choosing Between Indices: What Each Captures
  3. 03Pielou's Evenness: The Complementary Metric
  4. 04Rarefaction: Comparing Sites with Different Sample Sizes

Biodiversity cannot be captured in a single number — but ecologists routinely need to compare sites, track change over time, and communicate diversity in a format comparable across studies. The three indices this calculator computes are complementary: Margalef captures how many species are present relative to sample size; Shannon captures both richness and evenness in an information-theoretic framework; and Simpson's captures the probability that two random individuals belong to the same species. The biodiversity index calculator provides all three simultaneously from the same input data.

The Three Indices: Formulas and Interpretation

Margalef Richness Index (d):

d = (S − 1) / ln(N)

where S = number of species, N = total number of individuals. Ranges from 0 upward; higher values indicate greater species richness relative to sample size. Reference: below 2.5 = low richness; 2.5–5.0 = medium; above 5.0 = high.

Shannon-Wiener Index (H'):

H' = −Σ pᵢ × ln(pᵢ) where pᵢ = proportion of individuals belonging to species i. Range: 0 to ln(S) maximum. Typical ecological values: 1.5–3.5; higher values indicate more equitable distribution of individuals across species.

Simpson's Diversity Index (1 − D):

D = Σ [nᵢ(nᵢ−1)] / [N(N−1)]; Simpson's diversity = 1 − D. Range: 0 (no diversity) to 1 (infinite diversity). D alone represents the probability two randomly selected individuals belong to the same species; 1−D is the complement — probability they belong to different species.

Use this online calculator for any species count and total individuals. The Shannon diversity calculator and biodiversity calculators provide focused analysis of individual indices.

Choosing Between Indices: What Each Captures

The three indices weight aspects of biodiversity differently:

  • Margalef: primarily species richness (number of species); simple to compute from minimal data; strongly influenced by sample size; poor for comparing sites with very different sampling effort
  • Shannon: balances richness and evenness; responds to changes in both species number and relative abundances; more sensitive to rare species than Simpson's
  • Simpson's: dominated by the most abundant species; weighted toward common species; more sensitive to changes in dominant species abundances than rare species; the most robust to sampling effort differences

For environmental impact assessments (EIA), reporting all three is standard practice because they capture different facets of the biological community being protected.

Pielou's Evenness: The Complementary Metric

The Shannon index H' combines richness and evenness, making it difficult to distinguish which changes when communities shift. Pielou's evenness (J) isolates the evenness component:

J = H' / H'_max = H' / ln(S)

J ranges from 0 (one species dominates all individuals) to 1 (all species equally abundant). A site with H' = 2.5 and S = 20 species has J = 2.5/ln(20) = 2.5/2.996 = 0.835 — relatively even distribution. A site with H' = 1.0 and S = 20 species has J = 0.334 — very uneven, with one or few species dominating. Using H' and J together fully characterizes the richness-evenness contribution to Shannon diversity. The evenness index calculator computes Pielou's J separately.

Rarefaction: Comparing Sites with Different Sample Sizes

Direct comparison of species richness between sites sampled with different effort is misleading — more intensive sampling always finds more species. Rarefaction standardizes species counts to the same number of individuals by asking: how many species would we expect if we had sampled only n individuals from each site? The rarefied expected species count E(S_n) = S − Σ C(N−nᵢ, n) / C(N, n) where nᵢ is the count of species i and n is the standardized sample size. Rarefaction curves plotting E(S_n) vs. n allow valid comparison across sites with different total sampling effort.

Visual Analysis

How It Works

Enter the number of species (S), total number of individuals surveyed (N), and the survey area. Margalef index: d = (S-1)/ln(N). For Shannon and Simpson indices, enter individual species counts (n₁, n₂, ...) — or use the simplified estimation from total N and S assuming log-normal species abundance distribution. Full species-by-species input gives exact Shannon and Simpson values; summary statistics give estimates.

Understanding Your Results

Review your results in context of established benchmarks and standards. Compare values against regulatory limits, industry averages, or scientific thresholds to assess significance. Use the results to identify improvement opportunities or compliance status.

Worked Examples

Standard Analysis

Inputs

species count10
total individuals100
area1

Results

species density0
margalef0
menhinick0

Typical biodiversity index scenario with default parameters.

Alternative Scenario

Inputs

species count10
total individuals100
area1

Results

species density0
margalef0
menhinick0

Modified parameters for comparison analysis.

Frequently Asked Questions

Species richness is simply the count of species present (S) — no information about how many individuals each species has. Diversity indices combine richness with evenness: a site with 10 species where one species has 99% of all individuals has low diversity despite high richness. Evenness measures how equally individuals are distributed across species — a perfectly even community has all species with equal abundances; an uneven community has a few dominant species and many rare ones. Shannon diversity H' combines both: H' increases with more species AND with more equal abundances. Reporting richness, diversity (H' or Simpson's), and evenness (Pielou's J) separately gives the most complete description of community structure.
Shannon diversity H' has no fixed upper limit (maximum = ln(S)), making absolute values difficult to interpret without context. General ecological reference values: H' < 1.0 = low diversity, often indicating a disturbed or highly dominant community; H' 1.0–2.0 = moderate diversity; H' 2.0–3.0 = good diversity, typical of healthy temperate ecosystems; H' > 3.0 = very high diversity, characteristic of tropical and species-rich systems. However, the appropriate range depends on the organism group and habitat: bird communities in temperate forests typically show H' 1.5–2.5; tropical forest tree communities may reach 4.0+; macroinvertebrate communities in clean streams typically show H' 2.0–3.5. Always compare values within the same study system rather than using fixed global benchmarks.
UK ecological consultancy guidelines (CIEEM, Natural England) and the US EPA recommend reporting multiple complementary indices rather than selecting one. For standard EIA baseline surveys, report: species richness S (total count), Shannon H' (richness + evenness combined), Pielou's J (evenness alone), and Simpson's D or 1−D (dominance measure less sensitive to rare species sampling). Simpson's 1−D is particularly recommended for comparisons between sites with different sampling effort because it is more robust to sample size variation than Shannon H'. If the survey is targeting species richness as the primary metric (e.g., for Site of Special Scientific Interest comparisons), use rarefied species richness rather than raw counts to control for sampling effort differences.
Margalef's index d = (S−1)/ln(N) does not have universal 'good' or 'bad' thresholds — values are specific to the organism group, ecosystem type, and geographic region. As a rough guide for macroinvertebrate river surveys: d < 2.0 suggests impacted conditions; d 2.0–3.5 suggests moderate conditions; d > 3.5 suggests good ecological status. For benthic marine surveys: d < 1.5 = poor; d 1.5–3.5 = moderate; d > 3.5 = good. Margalef values are strongly influenced by N (total individuals counted) — larger N always increases d regardless of actual biological richness, making it unreliable for comparing sites with very different sampling intensities. The UK BMWP (Biological Monitoring Working Party) score system is more commonly used for UK river quality assessment.
Ecological disturbance theory (intermediate disturbance hypothesis) predicts: undisturbed communities — high richness, moderate-high diversity, moderate evenness, with competitive exclusion reducing some less competitive species; moderate disturbance — maximum diversity because disturbance prevents competitive exclusion while not eliminating sensitive species; severe disturbance — low richness, low diversity, low evenness, dominated by a few tolerant opportunistic species (Capitella polychaete worms in marine sediments, Chironomid midge larvae in polluted streams). In practice, organic pollution consistently reduces all three indices; heavy metal contamination reduces richness but may not reduce evenness as dramatically; physical disturbance (flood, fire) initially reduces richness but promotes rapid recovery if sources of recolonization exist.
Not exactly — the full Shannon formula H' = −Σ pᵢ ln(pᵢ) requires knowing pᵢ for every species (the proportion of total individuals belonging to each species). Without individual species counts, only an approximation is possible: if you assume a log-normal abundance distribution (which empirically describes many natural communities well), the mean and variance of log-abundances can be estimated from S and N, allowing approximate H' calculation. Alternatively, the Margalef and Simpson indices can be estimated without full species counts: Margalef requires only S and N directly; Simpson's D requires individual counts per species. For accurate diversity calculations, recording individual species abundances during fieldwork is strongly recommended — it adds minimal effort to a standard quadrat or transect survey but enormously expands the analytical options.

Sources & Methodology

Magurran, A.E. (2004). Measuring Biological Diversity. Blackwell Publishing. Margalef, R. (1958). Information theory in ecology. General Systems, 3, 36–71. Shannon, C.E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379–423.

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