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Margalef Species Richness Index Calculator

Measure species richness adjusted for sample size from species counts.

Inputs

Results

Margalef richness index0.7668667
Species count4species

Chart

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How to use the margalef species richness index calculator

Measure species richness adjusted for sample size from species counts. Enter counts per species in the field above; the margalef richness index, species count are computed instantly and plotted on the chart so you can see how the answer changes.

Common searches this calculator answers include “Margalef index”, “species richness index”, “richness for sample size”, “calculate margalef species richness index”, “find margalef richness index”.

Formula

Margalef richness index = (len(n)-1) / ln(sum(n))
Species count (species) = len(n)

Variables

  • n — Counts per species

Worked example

With counts per species = 10,20,5,15, the calculator gives margalef richness index ≈ 0.7668667; species count ≈ 4 species.

Frequently asked questions

What is the margalef species richness index calculator used for?

Measure species richness adjusted for sample size from species counts. It helps with questions such as “Margalef index”, “species richness index”, “richness for sample size”.

What is the formula for the margalef species richness index calculation?

Margalef richness index = (len(n)-1) / ln(sum(n)). Species count (species) = len(n). Here n is counts per species.

What inputs do I need for the margalef species richness index calculator?

You need counts per species. Each field is pre-filled with a typical example so you can see how the result responds as you edit the numbers.

How do I use the margalef species richness index calculator?

Type values into the input fields. Results and the chart update instantly. Use Reset to restore the example values, Copy results to paste them elsewhere, or Share to copy a link that preserves your inputs.

Is the margalef species richness index result exact?

Calculations use standard formulas and double-precision arithmetic, then display about seven significant figures. Real-world measurements carry uncertainty, so treat results as estimates unless your inputs are exact.

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