Williams Alpha
Compute Williams alpha diversity as the regional species count divided by the number of habitats sampled.
Description
Compute Williams alpha diversity as the regional species count divided by the number of habitats sampled.
Williams Alpha is a focused biology tool that compute Williams alpha diversity as the regional species count divided by the number of habitats sampled. It calculates locally from the values you enter and exposes the result without changing the source observations.1
When to use Williams Alpha
Use Williams Alpha when you need to compute Williams alpha diversity as the regional species count divided by the number of habitats sampled. Enter Regional species and Habitats sampled using the definitions and units below so the result can be reproduced.
- Regional species
- An integer count or setting greater than or equal to 1, expressed in species.
- Habitats sampled
- An integer count or setting greater than or equal to 1, expressed in habitats.
How Williams Alpha calculates the result
The published tool contract uses this rule: Compute Williams alpha diversity as the regional species count divided by the number of habitats sampled.
- Williams alpha diversity
- The calculated williams alpha diversity.
Limitations of Williams Alpha
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 Regional species and Habitats sampled values and their units alongside the result. Fisher Alpha is useful when you instead need to solve Fisher's log-series diversity parameter from S = alpha × ln(1 + N/alpha). A finite positive solution exists when the observed species count is smaller than the individual count. Log Series Alpha Proxy provides another view by helping you compute a documented Fisher-lite proxy for the log-series alpha parameter as species count divided by the natural logarithm of total individuals plus one.
References
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Diversity index — Wikipedia contributors
Similar or alternative tools
- Fisher Alpha
Solve Fisher's log-series diversity parameter from S = alpha × ln(1 + N/alpha). A finite positive solution exists when the observed species count is smaller than the individual count.
- Log Series Alpha Proxy
Compute a documented Fisher-lite proxy for the log-series alpha parameter as species count divided by the natural logarithm of total individuals plus one.
- Whittaker Beta Diversity
Compute Whittaker beta diversity betaW = gamma / mean alpha richness from two site species counts and their shared count.