Checkerboard score

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Template:One source In biodiversity studies, the checkerboard score or C-score is a statistic which determines the randomness of the distribution of two or more species through a collection of biomes. The statistic, first published by Stone and Roberts in 1990,[1] expands on the earlier work of Diamond[2] that defined a notion of "checkerboard distributions" as an indicator of species competition.

A low c-score indicates a higher randomness, i.e. a greater likelihood that the distribution of one species has not been directly affected by the presence of other species.

Definition and calculation

Given two species sp1, sp2 and n islands, an incident matrix is built. In the 2×n incident matrix, each row represents one of the two species and each column represents a different island. The matrix is then filled with each cell being set to either 0 or 1. Cell with the value of 0 means that a given species doesn't exist in the given island whilst the value of 1 means that the species do exist in the given island.

The calculation of the co-occurrence of two species sp1, sp2 in the given set of islands is done as follows:

Cij=(riSij)(rjSij)
Template:Math - C-score for the two species sp1, sp2 in the given set of islands
Template:Math - The number of co-occurrences of sp1, sp2
Template:Math - Number of islands in which sp1 has 1
Template:Math - Number of islands in which sp2 has 1

The checkerboard score (c-score) for the colonisation pattern is then calculated as the mean number of checkerboard units per species-pair in the community:

For M species, there are Template:Math species-pairs, so C-score is calculated:

C=j=0Mi<jCij/P

The C-score is sensitive to the proportion of islands that are occupied, thereby confounding comparisons between matrices or sets of species pairs within them. An extension of the C-score therefore standardizes by the number of islands each species-pair occupies using:[3]

Cij=(riSij)(rjSij)/(ri+rjSij)

References

Template:Reflist