Use McIntosh Index when you need to compute the McIntosh diversity index for a three species community from Euclidean distance in species space. Enter Species A count, Species B count, and Species C count using the definitions and units below so the result can be reproduced.

Species A count

An integer count or setting greater than or equal to 0, expressed in individuals.

Species B count

An integer count or setting greater than or equal to 0, expressed in individuals.

Species C count

An integer count or setting greater than or equal to 0, expressed in individuals.

The published tool contract uses this rule: Compute the McIntosh diversity index for a three species community from Euclidean distance in species space.

McIntosh index

The calculated mcintosh index.

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

Retain the original Species A count, Species B count, and Species C count values and their units alongside the result. Brillouin Index is useful when you instead need to 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. Simpson Index D provides another view by helping you compute the Simpson diversity index D for three species counts in a sample.

• 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.

• Simpson Index D

  Compute the Simpson diversity index D for three species counts in a sample.

• Shannon Wiener H

  Compute the Shannon-Wiener diversity index from up to five species proportions.