entropart (version 1.4-6)

AlphaEntropy: Reduced-bias alpha entropy of a metacommunity

Description

Calculates the reduced-bias total alpha entropy of order $q$ of communities.

Usage

AlphaEntropy(MC, q = 1, Correction = "Best", Tree = NULL, Normalize = TRUE, Z = NULL, CheckArguments = TRUE)

Arguments

MC
A MetaCommunity object.
q
A number: the order of diversity. Default is 1 for Shannon entropy.
Correction
A string containing one of the possible corrections accepted by the bias-corrected entropy function (see details) or "None" or "Best", the default value.
Tree
An object of class hclust or phylog. The tree must be ultrametric.
Normalize
If TRUE (default), the entropy returned by the function is normalized by the height of the tree (it is the weighted average value of the entropy in each slice). If FALSE, it is the unnormalized weighted sum of the results.
Z
A relatedness matrix, i.e. a square matrix whose terms are all positive, strictly positive on the diagonal. Generally, the matrix is a similarity matrix, i.e. the diagonal terms equal 1 and other terms are between 0 and 1.
CheckArguments
Logical; if TRUE, the function arguments are verified. Should be set to FALSE to save time when the arguments have been checked elsewhere.

Value

An MCentropy object containing entropy values of each community and of the metacommunity.

Details

If Tree is not NULL, then phylogenetic entropy is calculated by bcPhyloEntropy; else, if Z is not NULL, then similarity-based entropy is calculated by bcHqz; else, neutral entropy is calculated by bcTsallis. The alpha entropy of each community is calculated and summed according to community weights. The possible corrections are detailed in Tsallis.

References

Marcon, E., Scotti, I., Herault, B., Rossi, V. and Lang, G. (2014). Generalization of the partitioning of Shannon diversity. PLOS One 9(3): e90289. Marcon, E., Herault, B. (2015). Decomposing Phylodiversity. Methods in Ecology and Evolution 6(3): 333-339.

Marcon, E., Zhang, Z. and Herault, B. (2014). The decomposition of similarity-based diversity and its bias correction. HAL hal-00989454(version 1).

See Also

bcTsallis

Examples

Run this code
  # Load Paracou data (number of trees per species in two 1-ha plot of a tropical forest)
  data(Paracou618)
  # Calculate Simpson alpha entropy
  summary(AlphaEntropy(Paracou618.MC, 2))
  # Compare without correction
  summary(AlphaEntropy(Paracou618.MC, 2, Correction = "None"))
  # Estimate phylogenetic Simpson alpha entropy
  summary(AlphaEntropy(Paracou618.MC, 2, Tree = Paracou618.Taxonomy) -> e)
  plot(e)

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