Classifies species into seven forms of rarity of Rabinowitz
The Rabinowitz’s method uses three parameters (geographic range, habitat specificity, and population size) to classify rare species. Geographic range is a parameter of regional scale, while the other two are local. Their combination results in seven form of rarity, and in the identification of common species.
Eduardo Arlé PhD student, Macroecology and Society, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig.
Everton Alves Maciel PhD student, University of Campinas - UNICAMP, Brazil. and PhD-SWE student, Helmholtz Centre Environmental Research - UFZ, Germany. contact: everttonmaciel@gmail.com
install.packages('devtools')
library(devtools)
install_github('evertonmaciel/Rare7')
library(Rare7)
rareData()
The main function is rareData, basically, this quantifies higher latitudes to quantify the proportion of distribution of a species; maximum abundance of a species and habitat number where species occur.
rarityForms()
The second function uses the output provided by the first function. Then this function classifies the forms of rarity.
The data input to Rare is a data frame that contains the following structure.
'data.frame': 5 obs. of 5 variables:
$ specie : Factor w/ 5 levels "sp.1","sp.2",..: 1 2 3 4 5
$ lat : num -4.7 -14.7 -14.7 -24.7 -24.7
$ long : num -42.9 -39.9 -45.9 -45.1 -45.9
$ NumIndiv: int 2 1 3 1 32
$ habitat : Factor w/ 2 levels "forest","savanna": 2 1 2 1 2
If you publish something based on results from Rare7 (R package), please make reference to Maciel, E. A., & Arlé, E. (2020). Rare7: An R package to assess the forms of rarity in a community. Ecological Indicators, 115, 106419.
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