ACE Proxy Estimator

Compute the singleton-doubleton proxy Sobs + F1 squared divided by 2 F2, substituting one when F2 is zero. This is not the full abundance-based coverage estimator, which requires the rare-species frequency distribution.

Description

Compute the singleton-doubleton proxy Sobs + F1 squared divided by 2 F2, substituting one when F2 is zero. This is not the full abundance-based coverage estimator, which requires the rare-species frequency distribution.

ACE Proxy Estimator applies one documented biological calculation to the values you provide. Compute the singleton-doubleton proxy Sobs + F1 squared divided by 2 F2, substituting one when F2 is zero. This is not the full abundance-based coverage estimator, which requires the rare-species frequency distribution.1

When to use ACE Proxy Estimator

Use this biodiversity measure when counts or incidences were collected with comparable sampling effort and the estimator matches the study design. It can summarize richness, dominance, evenness, or compositional difference.

Observed species
An integer count greater than or equal to 1, expressed in species.
Singletons
An integer count greater than or equal to 0, expressed in species.
Doubletons
An integer count greater than or equal to 0, expressed in species.

How ACE Proxy Estimator calculates the result

The implementation follows this calculation rule: Compute the singleton-doubleton proxy Sobs + F1 squared divided by 2 F2, substituting one when F2 is zero. This is not the full abundance-based coverage estimator, which requires the rare-species frequency distribution.

ACE estimate
The calculated ace estimate in species.

Limitations of ACE Proxy Estimator

Different diversity indices weight rare and common taxa differently. Detection probability, sample coverage, taxonomic resolution, zero counts, and unequal effort can dominate comparisons; proxy estimators are not interchangeable with their full published forms. The output is explicitly an estimate or proxy; preserve that label when reporting it.

Alternative or Complementary measurements

Report observed richness, abundance or incidence data, and sampling effort beside the index. Coverage-based rarefaction, accumulation curves, and more than one Hill-number order provide a fuller view of community structure.

References

  1. Diversity index — 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.

  • ACE Bias Corrected

    Estimate abundance-based species richness with ACE using the species observed at most ten times, their total individuals, singleton count, and the rare-frequency moment sum i(i-1)f_i. ACE is undefined when every rare individual is a singleton.

  • Chao1 Bias Corrected

    Compute the documented bias-corrected Chao1 estimate as observed species plus singletons times singletons minus one divided by two times doubletons plus one.

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