Menhinick Richness
Compute the Menhinick richness index as species count divided by the square root of individual count.
Description
Compute the Menhinick richness index as species count divided by the square root of individual count.
Menhinick Richness is a focused biology tool that compute the Menhinick richness index as species count divided by the square root of individual count. It calculates locally from the values you enter and exposes the result without changing the source observations.1
When to use Menhinick Richness
Use Menhinick Richness when you need to compute the Menhinick richness index as species count divided by the square root of individual count. Enter Individuals and Species count using the definitions and units below so the result can be reproduced.
- Individuals
- An integer count or setting greater than or equal to 1, expressed in individuals.
- Species count
- An integer count or setting greater than or equal to 1, expressed in species.
How Menhinick Richness calculates the result
The published tool contract uses this rule: Compute the Menhinick richness index as species count divided by the square root of individual count.1
- Menhinick index
- The calculated menhinick index.
Limitations of Menhinick Richness
A ratio or percentage can conceal the scale of its numerator and denominator and becomes sensitive to measurement error when the denominator is small.
Alternative or Complementary measurements
Retain the original Individuals and Species count values and their units alongside the result. Bootstrap Richness Proxy is useful when you instead need to compute the limited richness proxy Sobs + singletons divided by sample count. A full bootstrap richness estimator requires each species' observed incidence frequency. Margalef Richness provides another view by helping you compute the Margalef richness index from species count and total individuals.
References
-
Species richness — Wikipedia contributors
Similar or alternative tools
- Bootstrap Richness Proxy
Compute the limited richness proxy Sobs + singletons divided by sample count. A full bootstrap richness estimator requires each species' observed incidence frequency.
- Margalef Richness
Compute the Margalef richness index from species count and total individuals.
- First Order Jackknife
Estimate species richness with the first order jackknife from unique species across incidence samples.