Morisita-Horn Counts

Quantify overlap between two communities over two species from raw abundance counts with the Morisita-Horn index.

Description

Quantify overlap between two communities over two species from raw abundance counts with the Morisita-Horn index.

Morisita-Horn Counts is a focused biology tool that quantify overlap between two communities over two species from raw abundance counts with the Morisita-Horn index. It calculates locally from the values you enter and exposes the result without changing the source observations.1

When to use Morisita-Horn Counts

Use Morisita-Horn Counts when you need to quantify overlap between two communities over two species from raw abundance counts with the Morisita-Horn index. Enter Community A species 1 count, Community A species 2 count, Community B species 1 count, and Community B species 2 count using the definitions and units below so the result can be reproduced.

Community A species 1 count
An integer count or setting greater than or equal to 0, expressed in individuals.
Community A species 2 count
An integer count or setting greater than or equal to 0, expressed in individuals.
Community B species 1 count
An integer count or setting greater than or equal to 0, expressed in individuals.
Community B species 2 count
An integer count or setting greater than or equal to 0, expressed in individuals.

How Morisita-Horn Counts calculates the result

The published tool contract uses this rule: Quantify overlap between two communities over two species from raw abundance counts with the Morisita-Horn index.

Morisita-Horn index
The calculated morisita-horn index.

Limitations of Morisita-Horn Counts

The calculation does not propagate measurement uncertainty, sampling error, or biological and chemical variability.

Alternative or Complementary measurements

Retain the original Community A species 1 count, Community A species 2 count, Community B species 1 count, and Community B species 2 count values and their units alongside the result. Morisita-Horn Overlap is useful when you instead need to compare two communities with the Morisita-Horn similarity coefficient for two categories. Each pair of proportions must sum to one; zero means no shared composition and one means identical composition. Jaccard Index provides another view by helping you compute the Jaccard similarity index between two species counts.

References

  1. Morisita's overlap index — Wikipedia contributors

Similar or alternative tools

  • Morisita-Horn Overlap

    Compare two communities with the Morisita-Horn similarity coefficient for two categories. Each pair of proportions must sum to one; zero means no shared composition and one means identical composition.

  • Jaccard Index

    Compute the Jaccard similarity index between two species counts.

  • Brillouin Index

    Compute the Brillouin diversity index HB = (ln(N!) - sum(ln(ni!))) / N from three species counts using loop-based log factorials for communities up to 10000 individuals.

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