Richness |
Species richness |
Count of the number of species present in a given site |
Identify biodiversity hotspots |
RRR |
Range‐rarity richness |
Inverse of the number of sites in which a species occurs. RRR = , where is the number of map grid cells occupied by species i and n is the number of species |
When the goal is to identify areas of high biodiversity and biological uniqueness |
CRRR |
Corrected range‐rarity richness |
Range rarity richness (RRR) divided by species richness. CRRR = )/n, where is the number of map grid cells occupied by species i and n is the number of species |
When the goal is to identify centers of endemism or highlight range‐restricted species |
Shannon |
Shannon‐Wiener diversity index |
Combines species richness and the evenness or equitability by computing the species' relative abundances. H': , where S is the species richness and pi
is the relative abundance of the species |
It assumes that all species are represented in a sample and that they are randomly sampled |
Simpson |
Simpson diversity index |
Combines species richness and the evenness or equitability by computing the species' relative abundances D = 1 − Σ
2
, where is the proportional abundance of species i
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It is the complement of Simpson's original dominance index, and represents the probability that two randomly chosen individuals belong to different species |
Simpson_Beta |
Pairwise Simpson dissimilarity index |
It is based on diversity partitioning, which separates species replacement (i.e., turnover) from species loss (i.e., nestedness). The Simpson dissimilarity corresponds to the turnover component of the Sorensen dissimilarity. Considering two sites, βsim = min(b, c)/(a + min(b, c)), where a is the number of species present in both sites, b is the number of species present in the first site, but not in the second, and c is the number of species present in the second site, but not in the first. |
It is used to maximize species turnover |
Frequent |
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The most frequent plots selected over 1,000 iterations with a randomized starting seed using the pairwise Simpson dissimilarity index |
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Simpson_Random |
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The pairwise Simpson dissimilarity index with a randomized starting seed iterated 1,000 times |
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